Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: a. Preparation of the sectoral financial statements and compilation of FSIs for deposit takers, other financial corporations (OFCs), and nonfinancial corporations (NFCs). b. Regulatory framework for deposit takers. c. Accounting principles and data consolidation for the compilation of FSIs for deposit takers. d. Metadata reporting. e. Overview of FSIs for Household sector and Real Estate markets.
Target Audience: Officials at central banks and supervisory agencies of the financial sector involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This five-day course, conducted by the Statistics Department familiarizes participants with key climate change related indicators that can be developed to better inform economic and financial policies. The statistics covered include Environmental revenues and expenditures, Natural Resource Accounts, Physical and Transition risk indicators, Air Emission Accounts and indicators of Sustainable Finance. The course consists of a series of lectures giving overview of methods for compiling climate change-related indicators, and insights into the analytical uses of the climate change-related indicators.
Target Audience: Officials from national statistics agencies, ministries of finance, planning and environment, central banks, and other agencies, who are responsible for compiling and/or using environment or climate change related indicators.
Description: This course, presented by the Statistics Department, covers both the conceptual and practical aspects of compiling monetary statistics focusing on other financial corporations (OFCs) as set out in the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The main aim of this course is to foster a deeper understanding of the OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structures and how their financial data can be leveraged for compiling the broadest set of monetary statistics to understand liquidity and financing extended to the nonfinancial sectors and nonresidents by the financial corporations. The course also covers some aspects of financial statistics, of which the role of MFS in the balance sheet approach (BSA) for analyzing macro-financial vulnerabilities and how MFS fits into the IMF’s financial programming. The course integrates discussions on cutting-edge issues like Fintech, digital money and climate finance all related to MFS. Through a combination of lectures, countries’ presentations and case studies, the course familiarizes participants with practical aspects of compiling other financial corporations sector and the financial corporations survey. Emphasis is also placed on peer learning through sharing of country experiences among the participants.
Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.
Description: The main objective of the course is to provide participants with an introduction of the processes and tools for data acquisition in labour statistics. The course will show examples of CAPI tools for LFS data collection based on CSPro and Survey Solutions, including applications for survey management. Besides, the participants will learn how to design a CSEntry application to upload administrative register's data, run consistency checks and calculate indicators to be seamlessly integrated to a Labour Market Information System.
Target Audience: National Statistical Offices (NSOs); Ministries of Labour and related Institutions (such as labour observatories); Governmental agencies in charge of labour market data analysis and SDG national reporting; ILO Social Partners (Employers' and workers' organizations), Research and academic institutions; International organizations; Development agencies; in addition to Non-governmental organizations.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: In today's rapidly evolving educational environment, the strategic utilization of data has become paramount for training institutions striving to elevate the quality of learning experiences and broaden their impact. "Analytics for Learning: Leveraging Data for Effective Training" is a dynamic online course meticulously crafted to equip educators, learning designers, training managers, and administrators with the indispensable knowledge and skills required to harness the potential of data analytics. Throughout this course, participants will gain invaluable insights into leveraging data-driven approaches to refine learning design, monitor learner progression, and make informed decisions at the institutional level.
Target Audience: This course is tailored for a diverse audience that includes: - Educators, trainers, and instructional designers seeking to leverage data analytics for informed decision-making and improved learning outcomes. - Training managers, administrators, and curriculum developers interested in enhancing the efficiency, effectiveness, and alignment of training programs with organizational objectives.
Description: Celebrate the world of Statistics and Data Science throughout the four days of WSC 2025. Over 1500 statisticians and data scientists from academia, official statistics, private sector businesses, central banks, statistical societies, junior, and senior professionals will benefit from more than 200 premium sessions and talks featuring some of the industry's most influential names.
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Government Finance Statistics Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011). The course requires that participants be familiar with the basic government finance statistics (GFS) and PSDS framework and classification system. Emphasizing the integration of stock positions and flows in the framework, the course addresses more complex issues regarding the: - definition of gross and net debt in terms of debt instruments; - coverage and sectorization of the public sector, with special attention to borderline and complex cases; - valuation of public sector debt statistics; and - consolidation of public sector debt statistics. In addition, the course addresses complex cross-cutting PSDS issues, such as government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and the balance sheet approach (BSA) to identify risks and vulnerabilities. The format is lectures and discussions.
Description: This one-week course, presented by the Statistics Department, prepares participants to compile QNA by providing them with a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets. The course covers both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.While the course is broadly based on the IMF Quarterly National Accounts Manual (2017 Edition), it expands on techniques required to dealing with alternative data sources, and mixed frequencies. The course covers both theoretical and practical compilation issues.Participants will learn how to identify and assess available data sources for compiling QNA; use related real-time series databases to assess the quality of QNA; and implement a suitable revisions policy.
Target Audience: Officials worldwide responsible for compiling quarterly national accounts (QNA).
Description: This course, conducted by the Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011), as well as on the practical aspects of public sector debt data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the methodology that is harmonized with the Government Finance Statistics Manual 2014 (GFSM 2014) and the System of National Accounts (SNA 2008). The course examines coverage and accounting rules of the public sector debt statistics framework, valuation, classification, selected methodological issues, and the sources and methods used for compiling the statistics. It also deals with debt data reporting to the IMF and World Bank. The course is organized around a series of case studies.
Target Audience: Public sector officials whose main responsibility is compiling and disseminating public sector debt statistics.
Title in French: Mesurer l'Inadéquation des compétences
Organizer(s): ILO ILO ITC OECD European Training Foundation CEDEFOP
Description: La demande de données sur les différentes formes d'inadéquation des compétences a augmenté ces dernières années, conformément à la priorité accordée par les pays à la formulation de mesures et d'outils politiques efficaces pour améliorer la qualité et la pertinence de la formation des compétences. Nombreux sont ceux qui ont souligné l'importance d'une meilleure utilisation des qualifications et des compétences professionnelles comme condition préalable à de meilleurs résultats en matière d'emploi et d'employabilité, ainsi qu'à une amélioration de la productivité du travail. Le concept d'inadéquation des compétences est toutefois large et ambigu. Il peut se rapporter à de nombreuses formes de frictions sur le marché du travail, notamment l'inadéquation verticale, les lacunes en matière de compétences, les pénuries de compétences, l'inadéquation des qualifications, l'inadéquation du domaine d'études (horizontal) et l'obsolescence des compétences. Cela peut conduire à une mauvaise interprétation des résultats. L'existence d'estimations basées sur des approches de mesure différentes est également source de confusion. L'inadéquation des compétences est une préoccupation pour les décideurs politiques, les employeurs et les travailleurs. Il s'agit d'un thème récurrent dans la formation professionnelle et le développement des compétences, et de nombreuses initiatives politiques ont été lancées pour remédier à diverses formes d'inadéquation des compétences. L'élaboration d'une politique des compétences fondée sur des données probantes nécessite des statistiques sur les différentes formes d'inadéquation des compétences. Fort de sa longue expérience en matière de formation sur les compétences et l'analyse du marché du travail, le Centre international de formation de l'OIT, en pleine collaboration avec le Département des statistiques de l'OIT, et en coordination avec la branche Compétences de l'OIT, la Fondation européenne pour la formation, l'Organisation de coopération et de développement économiques, ainsi que le Centre européen pour le développement de la formation professionnelle, est fier de proposer pour la première fois en français cette formation en ligne de quatre semaines sur la mesure et l'analyse de l'inadéquation des compétences.
Target Audience: Le cours s'adresse à: - Les statisticiens du travail/fonctionnaires des bureaux nationaux de statistiques ; les ministères du travail et les institutions connexes (telles que les observatoires du travail) ; d'autres ministères ou institutions gouvernementales engagés dans l'emploi, le développement des compétences, l'adéquation et l'analyse des compétences ou impliqués dans la collecte et l'analyse d'informations sur le marché du travail ; - Les analystes des politiques d'emploi et de développement, les instituts de recherche et les instituts universitaires, ainsi que les organisations internationales et les bailleurs de fonds engagés dans l'adéquation des compétences ; - Les membres des conseils de compétences, des autorités nationales de l'EFTP ou d'institutions similaires ; - Les représentants d'organisations de travailleurs et d'employeurs participant à des plans de développement des compétences sectoriels, régionaux ou nationaux.
Description: This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation in the estimation of macro-econometric models and their application for nowcasting, forecasting, and policy analysis in central banks, ministries, and public research institutions. The course examines univariate and multivariate econometric time series models, state-space models, and nowcasting techniques as Factor, BRIDGE, and MIDAS models. Each topic includes a lecture that discusses the underlying theory and a workshop with applications using EViews. Participants work in groups on hands-on estimation and forecasting exercises.
Description: The demand for analysing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment, employment, and decent work indicators. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. In line with the 2030 Agenda for Sustainable Development, governments have committed to policy action concerning decent employment creation and inclusive economic growth, with references to the demand-side, supply-side, and labour market policies. Hence, the need for good labour market governance and institutions able to collect, store, analyse, disseminate, and monitor labour market information has become paramount for evidence-based policy-making. A Labour Market Information System (LMIS) is "a network of institutions, persons and information that have mutually recognized roles, agreements, and functions with respect to the production, storage, dissemination, and use of labour market-related information and results in order to maximise the potential for relevant and applicable policy and programme formulation and implementation." The LMIS serves as a tool to aid decision-making in the area of labour market policy, and helps policy makers make informed policy decisions. Overall, an efficient LMIS will enhance the scope of evidence-based policy-making and facilitate the measurement of progress towards the achievement of the policy objectives set out in national employment strategies in line with the 2030 Agenda for Sustainable Development. Recognizing the rising demand of countries to better understand the functioning of Labour Market Information Systems (LMIS) doubled by the rising demand for measuring the impact of policies and programmes on labour market outcomes, the International Training Centre of the ILO in Turin (ITCILO) in close collaboration with the ILO Department of Statistics are proud to offer for the face-to-face training the course "Labour Market Information Systems (LMIS)".
Target Audience: National Statistical Offices (NSOs); Ministries of Labour and related Institutions (such as labour observatories); Governmental agencies in charge of labour market data analysis and SDG national reporting; ILO Social Partners (Employers' and workers' organizations), Research and academic institutions; International organizations; Development agencies; in addition to Non-governmental organizations.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims to provide a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application in addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants' familiarity with the basic concepts. The course will also elaborate on the topics being addressed during the current update of BPM6. The course consists of a series of lectures and workshops analyzing country cases with a strong data component and is designed to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross-border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in the global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrate data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th, 20th, and 21st ICLS resolutions on labour statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer the blended training STATA for labour market analysis. The course will include two phases, an online phase between 9 June and 4 July to provide a basic understanding of STATA for LM analysis, and then a face-to-face phase which will take place in Turin between 7-11 July, 2025. This course qualifies for the Labour Statistics & Analysis Diploma.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: This is a comprehensive training course that covers application of statistics in Record Management. The course aims at equipping participants with skills and knowledge in data collection, data entry, management, analysis, interpretation and reporting.
Target Audience: This short course is so important for administrative officers, assistant record management officers, record management officers and implementers at all levels of record management.
Source: ESCAP SIAP (Data extracted on: 21 Feb 2025 )
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Organizer(s): Paris21 ESCAP SIAP
Description: With the increased and evolving demand for data from national development plansAgenda 2030 for sustainable development goalsthe current and post crisis affecting the Worldincluding climate change; as well as the opportunity available with the new technology including the use of Artificial Intelligence (AI) for the modernisation and digital transformation of national data ecosystems; National statistical offices (NSOs) continue to be at the forefront of developingtransforming and coordinating national statistical systems (NSS) as well as engaging with the larger data ecosystem to fit for purpose.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims to provide a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application in addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts. The course will also elaborate on the topics being addressed during the current update of BPM6.The course consists of a series of lectures and workshops analyzing country cases with a strong data component and is designed to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross-border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in the global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrate data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6).
Description: Data collection is the primary and most important step for research or any survey. The most critical objective of data collection is ensuring that information-rich and quality data is collected for statistical analysis so that data-driven decisions can be made for research or survey. Data Collection can be done in three (3) ways, Paper Assisted Personal Interview, Computer Assisted Personal interview (CAPI) and Mixed model with integration of Geographical Information System (GIS) to collect survey data. Quality data allows individual researchers, institutions to establish baselines, benchmarks, and goals to keep moving forward. Data allows setting performance goals, therefore the quality of data in surveys is critical. The absence of quality data makes it difficult to make evidence-based policy and planning decisions, monitor trends and evaluate interventions. This training course on Data Collection provides solution in the production of quality data through integration of technologies in Data Collection.
Target Audience: People working in Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: This is a comprehensive training course that covers application of statistics in Record Management. The course aims at equipping participants with skills and knowledge in data collection, data entry, management, analysis, interpretation and reporting.
Target Audience: This short course is so important for administrative officers, assistant record management officers, record management officers and implementers at all levels of record management.
Source: ESCAP SIAP (Data extracted on: 01 Apr 2025 )
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Organizer(s): UNSD ESCAP SIAP
Description: Climate change is one of the most pressing issues in the Asia-Pacific region. Yet emissions from fuel combustion in the region (and globally) continue to trend upwards due to increased demand for energy. In additionhouseholds and businesses are faced with frequent price shocks in many energy commodities. High qualityconsistent data on energy is critically needed to inform effective pathways for addressing issues around energy use and availabilityclimate change mitigation and just energy transitions. National statistical offices (NSOs) and ministries of energy of countries in the region have responded to these needs by compiling basic energy statisticsenergy balances and energy accounts. Howeverthere continues to be a need to strengthen the capacities of NSOs and ministries of energy to produce and disseminate energy information to better meet the needs of users for high quality integrated data on energy and its relationship to the broader economy and climate change.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: Data collection is the primary and most important step for research or any survey. The most critical objective of data collection is ensuring that information-rich and quality data is collected for statistical analysis so that data-driven decisions can be made for research or survey. Data Collection can be done in three (3) ways, Paper Assisted Personal Interview, Computer Assisted Personal interview (CAPI) and Mixed model with integration of Geographical Information System (GIS) to collect survey data. Quality data allows individual researchers, institutions to establish baselines, benchmarks, and goals to keep moving forward. Data allows setting performance goals, therefore the quality of data in surveys is critical. The absence of quality data makes it difficult to make evidence-based policy and planning decisions, monitor trends and evaluate interventions. This training course on Data Collection provides solution in the production of quality data through integration of technologies in Data Collection.
Target Audience: People working in Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: World Health Organization is organizing a regional workshop on Getting everyone in the picture-how the health sector accelerated improvements in civil registration and vital statistics (CRVS) (2015-2024) in Chon Buri Province, Thailand from 23–25 April 2025.Participation in this workshop is by invitation only.
Description: The World of Work is continuously evolving, perhaps never more quickly than in recent years. This means that statistical standards need to evolve as well to capture the complex realities of the world of work. Informality remains a key concern of the Decent Work Agenda and the 2030 Agenda for Sustainable Development (the share of informal employment is part of the indicators selected to measure progress towards the Sustainable Development Goals, as SDG indicator 8.3.1). Addressing informality is also critical for women's economic empowerment and gender equality. The 21st International Conference for Labour Statisticians (ICLS) adopted in October 2023 A New Standard on the Informal Economy. The new standard improves the coverage, usefulness, and comparability of informality statistics and sheds light on who are those in the informal economy, working conditions and contextual vulnerabilities in the informal economy, which employs two billion people, or about 60 percent of the world's employed population1. In many countries, informal employment and the informal sector represent a significant part of the economy and labour market and plays a major role in production, employment creation and income generation. The debate concerning strategies towards formalization of the informal economy gained new momentum worldwide, after ILO's constituents adopted, at the International Labour Conference in June 2015, the Recommendation 204 (R204), the first international standard focusing exclusively on the informal economy and the strategies to adopt for the transition from the informal to the formal economy. Measuring and analysing informality remains a challenge for many countries that hinders policy-making to address the consequences of informality and facilitate transitions to formality. The lack of data and statistics on the informal economy also means that its economic contribution is not taken into account.. Bearing in mind the growing demand from countries to better understand the functioning of the informal economy and the measurement of informality, the International Training Centre of the ILO in Turin (ITCILO) in close collaboration with the ILO Department of Statistics are proud to offer the online training "Measuring informality: Introducing the new statistical standards on the Informal economy."
Target Audience: National Statistical Offices (NSOs); Ministries of Labour and related Institutions (such as labour observatories); Governmental agencies in charge of labour market data analysis and SDG national reporting; ILO Social Partners (Employers' and workers' organizations) including those representing the informal economy, Research and academic institutions; International organizations; Development agencies; in addition to Non-governmental organizations.
Description: This is a comprehensive training course that covers application of R in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Description: In the digital age, big data is revolutionising the way international trade is conducted, regulated, and understood. The intersection of big data and trade law is reshaping global commerce, creating new challenges and opportunities for policymakers, businesses, and legal professionals. The training course Big Data and Trade Law is designed to provide participants with a nuanced understanding of how digital transformation is impacting trade regulations and practices worldwide. This immersive, four-day programme delivers an engaging learning experience that combines expert-led lectures, real-world case studies, and hands-on workshops. Participants will explore pressing topics such as the platform economy, including the Digital Services Act, the Platform-to-Business Regulation, and product liability for online marketplaces. The course also examines the transformative effects of emerging technologies like Artificial Intelligence (AI), Blockchain, and Robotics on international trade, fostering a forward-looking perspective on legal and regulatory developments. Hosted in the collaborative environment of the ITCILO Campus in Turin, this course offers a unique opportunity to connect with leading professionals and peers from various industries and regions. By investigating the legal frameworks governing big data and technological innovations, participants will gain practical insights into their implications for international trade. By the end of the course, attendees will have acquired advanced knowledge and actionable strategies, joining a global network of professionals dedicated to shaping the future of trade law in the digital era.
Target Audience: This course is tailored for: Legal professionals, advisors, practitioners, and managers with a background in international trade law. Senior representatives from public administrations, private companies, international organisations, United Nations agencies, and NGOs. Specialists from corporate legal departments, government bodies, intergovernmental organisations, and academic or research institutions seeking to deepen their understanding of big data and trade law.
Description: This workshop is aimed at preparing for the implementation of the updated trade statistics manuals (IMTS 2026 and MSITS 2026) and the Handbook on Integrating Business and Trade Statistics (HIBTS). The revised trade manuals are expected to be completed by the end of this year and submitted to the United Nations Statistical Commission for consideration in 2026. A background document for the 56th session of the Commission provides more information on the expected updates to the current standards. The HIBTS has also been submitted to the Commission as a background document for its endorsement.
Description: This is a comprehensive training course that covers application of R in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Description: The Food and Agriculture Organization of the United Nations (FAO) is pleased to invite you to the "Celebration of AQUASTAT's 30th anniversary and the joint FAO and UN-Water Briefing on the UN System-wide Strategy on Water and Sanitation” held in the context of FAO’s 80th anniversary. The event will take place on Friday, 4 April 2025, from 9.00 to 10.30 (CEST), at FAO Headquarters, Rome, Italy a...
Description: This course, presented by presented by the Institute for Capacity Development and the Statistics Department of the International Monetary Fund (IMF), offers a detailed overview of the compilation of institutional sector accounts based on the System of National Accounts (SNA) framework. Throughout the course, participants will gain an understanding of the fundamental concepts, methodologies, and significance of these accounts in analyzing economic phenomenon. The course will cover the system of national accounts framework, the accounting principles, and the key macroeconomic aggregates that underpin the framework. Participants will explore the institutional sectors and learn how the SNA tracks production and income across different sectors of the economy. Additionally, you will learn how to compile transactions and positions in both financial and nonfinancial assets, and liabilities. We will also emphasize how to classify and record changes in assets and liabilities. By the end of this course, participants will be better equipped to contribute to informed economic decision-making, enhancing their expertise in this critical area of economic analysis.
Target Audience: This course is ideal for officials globally who are interested in learning how to compile institutional sector accounts or in using the statistics for macroeconomic analysis.
Description: The FAO Liaison Offices in Brussels, Geneva, and New York and the FAO Office of SIDS, LDCs and LLDCs in collaboration with FAO’s Statistic Division are organizing a hybrid dialogue on “Enhancing timely access to quality data and statistics in SIDS”. The event will explore potential solutions to collect high quality food and agriculture data and ways to foster the uptake of these methods in SIDS...
Description: This international meeting aims to bridge the gaps in gender health data and focus on strengthening and standardizing birth and death records, informing effective health policymaking, and ultimately enhancing public health outcomes worldwide through a gender equitable approach. ESCAP SD will join nearly 50 other leaders and partners from diverse sectors and regions to discuss the progress made, share insights, and develop actionable strategies to close gender data gaps and create more equitable health systems by 2030.
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts, methods, and challenges of compiling CPIs. Concepts and methods introduced in the online CPIx are explored in greater detail to address actual compilation issues faced by participants. It provides an overview of the index number theory and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing/validating weights; and practical applications of the methods used for sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; adjusting prices for quality changes; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs).
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Illustrate “standardisation” activities within the European Statistical System and, more in general, within the statistical community. * Explain how to define a standardization strategy to improve the statistical business processes. * Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI). * Introduce open data (DCAT) and spatial (INSPIRE) standards. * Highlight the relationships between conceptual and implementation standards. * Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to metadata management, data dissemination and data reporting.
Target Audience: Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge.
Description: This is a comprehensive training course that covers application of STATA in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in developing and using more advanced compilation techniques in areas including supply and use tables (SUTs), input-output tables, price and volume measures, and thematic satellite accounts. The course starts with SNA framework and will discuss how these accounts can be extended to address specific user needs. The main lectures and workshops include: Conceptual framework of the SNA; Output of specific industries; SUTs and input-outputs tables; Price and volume measurement; Estimating consumption of fixed capital; and Thematic satellite accounts, with a focus on topics covered in the update of the 2008 SNA (e.g., informal economy, labor accounts).Emphasis is also placed on sharing country experiences among the participants.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts statistics.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Validation and reporting results of machine learning methods. * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks. * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments. * Understanding of symbolic computation for backpropagation and gradient descent. * Model selection, Hyper-parameter tuning and practical considerations. * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients. * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Source: Eurostat (Data extracted on: 08 Mar 2024 )
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Organizer(s): Eurostat
Description: New Techniques and Technologies for Statistics (NTTS) is an international biennial scientific conference series, organized by Eurostat, on new techniques and methods for official statistics, and the impact of new technologies on statistical collection, production and dissemination systems. The purpose of the conference is both to allow the presentation of results from currently ongoing research and innovation projects in official statistics, and to stimulate and facilitate the preparation of new innovative projects with the aim of enhancing the quality and usefulness of official statistics. The NTTS conference series was initially triennial, and with the conference taking place in 1992 (Bonn), 1995 (Bonn), 1998 (Sorrento) and 2001 (Hersonissos, Crete). After a break of 8 years, the conference was re-launched on a biannual basis, and took place in Brussels in 2009, 2011, 2013, 2015 2017 and 2019. NTTS 2021 was fully virtual, whereas NTTS 2023 took place in Brussels. NTTS 2025 will be hosted again in Brussels in the Charlemagne Building
Description: Background Better data and statistics are a key enabler for building a better world and addressing the development divide, as well as holding governments to account and improving decision and policy making. In particular, data on key development priorities that are produced with greater frequency, timeliness and granularity are in high demand. In response, National Statistical Offices (NSOs) are increasingly exploring innovative data sources, tools and methods to help address these user needs. The ESCAP Committee on Statistics therefore decided at its 7th session to “feature big data for official statistics in its future work, with an emphasis on sharing country research, experiences and good practices and facilitating capacity development” and to “strengthening legislative provisions and institutional mechanisms to enable national statistical systems to take full advantage of new and innovative technologies while respecting the Fundamental Principles of Official Statistics.” The ESCAP secretariat implements several initiatives to implement these decisions, including the capacity development project entitled the ‘2030 Data Decade - Strengthening the institutional capacity of national statistical offices in Asia and the Pacific to use innovative, new and big data sources for official statistics in support of the 2030 Agenda for Sustainable Development’ (the Big Data Project). The project is funded through the 2030 Agenda for Sustainable Development Sub-Fund of the UN Peace and Development Trust Fund. Through this project, ESCAP is providing technical assistance and related support to countries, as well as developing new knowledge products and facilitating the provision of opportunities for the sharing of achievements among countries in the region. Aims and Objectives The virtual workshop aim to bring together learnings and share experiences in the implementation and application of big data, tools and methods for official statistics from across the Asia-Pacific region. Specific areas of focus will include: Knowledge exchange: Sharing information on implementing and applying big data within official statistics, the challenges encountered and how these were overcome. Discussions will be held with audience participation encouraged. Inspiring others: Demonstrating the art of the possible; showcasing and discussing how alternative data sources can be used within official statistics. Signposting resources: Sharing the new products and tools, as well as the new learning materials and resources as outcomes of the Big Data Project. Establishing further needs: Providing ESCAP with a forum to elicit further learning needs from the Asia & Pacific region. By the end of the virtual regional workshop, participants will have a better understanding of how to overcome the technological, methodological, and human challenges that present when considering the application and implementation of big data in official statistics. Virtual Regional Workshop As the ESCAP Big Data Project draws to a close, the outcomes, challenges and lessons learned from the project workstreams will be showcased and shared across the Asia-Pacific region. A key focus will be on how NSOs have overcome the infrastructural and technological challenges to integrate and apply big data for statistical production. Participants The target audience for the virtual regional workshop is statisticians, methodologists, data analysts and managers within NSOs (or wider National Statistical System agencies) from the Asia-Pacific region. Those who participate in the 11 March session, will be interested in the application of geospatial data and small area estimation within the fields of Environment and Agriculture Statistics, Poverty Statistics, and the Sustainable Development Goals (SDGs); those who participate in the 12 March session will be interested in the use of alternative data sources for calculating Price Statistics. Participants will be invited from across the region’s Official Statistics community and will include those who attended the various Big Data Project workshop, trainings, and High-Level Seminars so that they may learn from others and continue their learning journey. There are no pre-requisites for attending the workshop and there are no limits on the numbers who may attend.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The demand for data on various forms of skills mismatches has risen in recent years, in line with the prioritization of countries to ensure that effective policy measures and tools are formulated to improve the quality and relevance of skills formation. Many have stressed the importance of making better use of qualification and occupational skills as a prerequisite for better employment outcomes and employability, as well as improved labour productivity. The concept of skills mismatch, however, is broad and ambiguous. t can relate to many forms of labour market friction, including vertical mismatch, skill gaps, skill shortages, qualification mismatch, field of study (horizontal) mismatch and skill obsolescence. This may lead to misinterpretation of results. The existence of estimates based on different measurement approaches also leads to confusion. Skills mismatch is a concern for policy-makers, employers, and workers alike. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of skills mismatches. For evidence-based skills policymaking statistics on various forms of skill mismatches are needed. Building on its long experience in delivering training on skills and labour market analysis, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics, and in close coordination with the ILO Skills branch, the European Training Foundation, the Organisation for Economic Co-operation and Development, in addition to the European Centre for the Development of Vocational Training is proud to offer this four-week online training on Measuring and Analyzing Skills Mismatches.
Target Audience: The course targets: - Labour Statisticians/officials from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions engaged in employment, skills development, skills matching and analysis or involved in the collection and analysis of labour market information; - Employment and development policy analysts, research and academic institutes, in addition to International organizations and Donors engaged in skills matching; - Members of skills councils, national TVET authorities or similar institutions; - Representatives of workers' and employers' organisations involved in sectoral, regional or national skills development plans.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units.
Description: Corruption is a challenge all countries in the world are facing and there are substantial information needs among decision makers and other stakeholders on the extent of it, which types of corruption are most common and who are key perpetrators and victims of corruption. Yet, statistics on corruption is not readily available in most countries due to a variety of reasons.
Description: The event will explore the transformative potential of Mobile Phone Data (MPD) in official statistics, addressing challenges NSOs face in accessing and utilizing data from Mobile Network Operators (MNOs). Organized by the UN-CEBD Task Team on MPD, led by ITU, World Bank, Flowminder, and the Global Partnership for Sustainable Development Data, it will showcase MPD applications in areas such as tourism, migration, and disaster management. Key discussions will include strategies for NSO engagement with MNOs, the MPD Maturity Assessment Framework, and a new practical guide on responsible data access. The event will also highlight insights from a World Bank/ITU project supporting 18 countries in leveraging MPD for policymaking, featuring NSO representatives sharing their experiences.
Description: This TrainForTrade e-learning course on IMTS was developed and produced jointly by UNSD, UN Trade and Development, and WTO in close collaboration with the Inter-Agency Task Force on International Trade Statistics. The main goals of the course are to enhance statisticians' ability to apply the most recent internationally agreed recommendations on IMTS, define best possible data sources, set up adequate (or enforce existing) collection systems, and enhance statistics compilation and production processes.
Source: ESCAP SIAP (Data extracted on: 21 Feb 2025 )
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Organizer(s): ESCAP SIAP
Description: Disasters continue to have an ever-increasing impact on lifewell-being and sustainable development. Given these impactsthere is a high demand at the localnational and international levels for high qualityintegrated statistics to inform all phases of the disaster risk management cycle. Furthermoredisaster related statistics are not only relevant to those working to prepare and respond to disasters but also to the public at largeresearch institutions and policy analysts at the local and national levels. In response to the increased demands for disaster related statisticsthe disaster management and official statistics communities in Asia-Pacific have developed the Disaster-related Statistics Framework (DRSF).The DRSF aims to improve countries capacities to produce high qualityintegrated statistics on disasters; and it is the basis for this course. During the course participants will learn about the importance of harmonized data and its relevance to policy making at the national and global level. Other topics covered include statistics on disaster riskdisaster occurrence and impactsand economic losses. Further details on course content follow below. Please note that a course on disaster related statistics was last held in 2023; this is an updated course and those who participated in the 2023 course are welcomed to join.
Description: This is a comprehensive training course that covers application of STATA in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks, and Ministries of Finance in EU Member States and candidate countries, particularly those working on Government Finance Statistics (GFS) and preparing for or supporting the implementation of the Excessive Deficit Procedure (EDP).
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Providing knowledge and basic practice on use of earth observation data to produce statistics, EO data sets, processing analyses and presenting.
The evolving data landscape demands innovative approaches to data production and use, bringing National Statistical Offices (NSOs) into closer collaboration with communities and citizens. In this context, the newly revised Copenhagen Framework on Citizen Data provides NSOs with a guiding tool to support communities and citizens and integrate citizen data into their work effectively. This side event, titled "Partnership for Impact: NSOs and the Copenhagen Framework on Citizen Data," offers an opportunity to delve into the updated framework and explore the transformative role of NSOs in the national data ecosystem. Through this event, participants will engage in discussions on how NSOs can harness citizen data to foster inclusivity, transparency, and impact, while navigating challenges in governance and stewardship.
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB), other depository corporations (ODCs) and other financial corporations (OFCs) in accordance with international statistical standards. Course materials are based on the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG ). The course discusses the principles of residency and sectoring of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants will also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. They will also gain a deeper understanding of the OFCs sector and their relevance for compiling a broader and often more reliable measure of the liquidity available in an economy and financing extended to the nonfinancial sectors and nonresidents by the financial corporations.
Target Audience: Central bank officials, officials from financial regulatory agencies responsible for compiling monetary statistics as well as users interested in understanding key conceptual framework and compilation process.
Source: Eurostat (Data extracted on: 30 Jul 2024 )
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Organizer(s): Eurostat
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP).
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This course will enable you to pick your next top data-science programming language: * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Organizer(s): ESCAP ECA Bloomberg Philanthropies Data for Health Initiative
Description: The CRVS Applied Research Training (CART) initiative focuses on enhancing civil registration and vital statistics (CRVS) systems through supporting applied research on strategies, interventions, and tools. The initiative aims to strengthen the capacity of CRVS practitioners to conduct high quality, relevant research. This involves designing projects to address practical questions, employing robust methodologies, and identifying key personnel for effective implementation and publication.This face-to-face workshop offers participants the opportunity to present on their research, collaborate with other participants from across the two regions, participate in various small group-based activities to refine their technical skills in applied research, and progress their research papers through dedicated sessions for individual working time – all contributing to enhanced research capabilities among CRVS practitioners and fostering greater collaboration between countries and regions.
Description: The BIS Irving Fisher Committee on Central Bank Statistics (IFC) is delighted to announce its upcoming 4th workshop on "Data Science in Central Banking," co-hosted with the Bank of Italy (BoI). For this workshop particular emphasis is placed on the exploration of generative Artificial Intelligence (AI) and its potential applications in central banking. This event aims to gather a diverse audience of practitioners, specialists, and interested stakeholders from central banks, international organisations, national statistical offices, and beyond. The workshop, taking place in Rome on 18-20 February 2025, will be held in person with the option of virtual participation for non-presenters. Our primary objective is to highlight ongoing projects and exchange experiences that can help foster in-house expertise and lessen reliance on external service providers. Projects with replicable code that is open source or sharable between authorities will be particularly appreciated.
Machine Learning for Official Statistics: Overview of machine learning techniques and their applications in official statistics, including classification, clustering, and predictive modelling
18 Feb 2025 – 18 Feb 2025
Source: Eurostat (Data extracted on: 01 Dec 2024 )
Source: ESCAP SIAP (Data extracted on: 21 Feb 2025 )
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Organizer(s): ESCAP SIAP
Description: This e-learning course aims to build capacity in national statistical systems for the development and implementation of Reproducible Analytical Pipelines (RAPs) for Official Statistics. What is a Reproducible Analytical Pipeline? Simply putreproducible analytical pipelines (RAPs) are automated statistical processes (data processing and analysis) that codify to the greatest extent possible the production of official statistics. Common tools that are used to develop RAP include software such as R or Pythonand version control management tools such as Git. Reproducibility is at the heart of the approach. It implies that the outputs can be generated again with any new or revised input datasets using the RAP developed. This also implies drafting documents explaining the RAP that make it possible to build institutional knowledge and use the RAP in the future by new staff.
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in developing and using more advanced compilation techniques in areas including supply and use tables (SUTs), input-output tables, price and volume measures, and thematic satellite accounts. The course starts with SNA framework and will discuss how these accounts can be extended to address specific user needs. The main lectures and workshops include: Conceptual framework of the SNA; Output of specific industries; SUTs and input-outputs tables; Price and volume measurement; Estimating consumption of fixed capital; and Thematic satellite accounts, with a focus on topics covered in the update of the 2008 SNA (e.g., informal economy, labor accounts).Emphasis is also placed on sharing country experiences among the participants.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts statistics.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with a basic knowledge of the seasonal adjustment methods and tools included in JDEMETRA+ To understand the basic principles of the ESS seasonal adjustment guidelines and to be able to apply them using JDEMETRA+, including for mass production. To motivate the participants to acquire and advanced knowledge in the various seasonal adjustment methods and in other time series algorithms.
Target Audience: Junior users of seasonal adjustment methods involved in regular/massive data production wishing to enhance their knowledge of the methods and to use the JDEMETRA+ tool in an efficient way. People currently using TRAMO/SEATS and/or X13 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version.
Description: This two-day CRVS Re-Design Workshop which was co-organized by the Directorate of Economics and Statistics and UNICEF, brought together DES officials, healthcare providers, and other key stakeholders to validate the existing "as-is" processes and collaboratively design innovative solutions for improving birth and death registration processes across Bihar. The sessions combined expert inaugural addresses with dynamic group discussions that yielded actionable recommendations for re-designing CRVS operations at public, private, urban, and rural levels. Notably, the workshop emphasized enhanced data verification, streamlined reporting, and the integration of digital tools to bridge structural barriers in the current system.
Citizen contributions to data, which encompasses citizens engagement in different processes throughout the data value chain, from design, collection to dissemination and use, is increasingly recognized as critical to the wellbeing of all members of society, especially marginalized groups, and to ensure that data remain relevant and impactful. The impacts include empowering communities in their dialogue with public institutions, respecting marginalized voices, expanding data production power to citizens, addressing intersectional marginalisation, and holding institutions accountable, and ensuring that data remain relevant and impactful, all in support of the "leave no one behind" principle of the 2030 Agenda for Sustainable Development.
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014), with an emphasis on new concepts introduced in GFSM 2014. The course requires that participants are familiar with the basic GFS framework and classification system. Emphasizing the integrated GFS framework, the course addresses complex cross-cutting GFS issues, such as social protection, government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and public sector balance sheets. It also examines coverage of the public sector, giving special attention to borderline and complex cases. The course discusses internal and intersectoral data consistency, coordination between data-producing agencies, as well as data presentation and communication with users. The format is lectures and discussions.
Description: This course, conducted by the Statistics Department, presents a user-friendly tool developed by the department to automatically combine monetary, government, and international investment position data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis—an extremely useful tool for macro-financial analysis. Once the matrix is generated, country officials should be able to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement.
Target Audience: Officials at central banks, ministries of finance and other agencies in charge of compiling monetary and financial statistics, government finance/debt statistics, and external sector statistics; and/or overseeing macro-financial analysis.
Description: This course, conducted by the Statistics Department, presents a user-friendly tool developed by the department to automatically combine monetary, government, and international investment position data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis—an extremely useful tool for macro-financial analysis. Once the matrix is generated, country officials should be able to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement.
Target Audience: Officials at central banks, ministries of finance and other agencies in charge of compiling monetary and financial statistics, government finance/debt statistics, and external sector statistics; and/or overseeing macro-financial analysis.
Description: The "High-level Webinar on Population and Housing Censuses" is the second event in the "Road to the Commission" webinar series leading to its 56th session of the Statistical Commission. The objectives of the High-level Webinar include: i) Promote the adoption and implementation of the revised Principles and Recommendations for Population and Housing Censuses (Revision 4); ii) Facilitate the launch and implementation of the 2030 World Population and Housing Census Programme; iii) Share lessons learned from the 2020 census round and prepare for census-taking in the 2030 round.
Date: Wednesday, 5 February 2025 Time: 8:00am – 9:30am (EST/New York time) Event webpage: Link
Description: This is a comprehensive training course that covers application of SPSS in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Description: UNCTAD's Division for Africa, Least Developed Countries and Special Programmes (ALDC) in partnership with UNCTAD Statistics Service, works jointly with African countries to develop and implement effective policies to tackle illicit financial flows (IFFs) based on robust measurements and evidence of the most harmful IFFs in each country, and enable the focus of countries to increase their fiscal space for sustainable development. UNCTAD strives for consensus-building, cutting edge thinking to support African countries to build their institutional capacity to understand IFFs better, and address more effectively their sustainable development financing needs.In this regard, UNCTAD is coordinating a joint measurement workshop and policy expert group meeting with the main objective of looking at policy options that can be implemented to curb IFFs and strengthen domestic resource mobilization for African countries based on nationally compiled IFF statistics.The meeting is organized in two parts: the measurement workshop will be held on Monday, 3 February and Tuesday, 4 February (morning) and is open to countries’ representatives of the project, while the afternoon will include other invited participants to discuss general measurement concepts. The policy workshop will be held from Wednesday, 5 February to Friday, 7 February and is open to all participants.The main aim of the joint measurement workshop and the expert group meeting will be threefold: * Discuss applied methodologies to measure tax and commercial IFFs, share results and lessons learnt. * Develop a suitable framework for identifying policies in a standard format for African countries but reflecting national priorities. * Ascertain the framework through an expert-led review.
Description: This session showcases how citizens and marginalized communities can be actively involved at various stages of the data value chain. We explore how data can be used as a tool to raise awareness and drive change on issues relevant to these communities. The session features collective learnings from our cross-country work, complemented by in-depth insights and practical advice presented by our national partners.
Topics:
Privacy Enhancing Technologies for Official Statistics
28 Jan 2025 – 28 Jan 2025
Source: Eurostat (Data extracted on: 01 Dec 2024 )
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: Over the past decade, the Asia-Pacific region has significantly advanced its civil registration and vital statistics (CRVS) systems, notably reducing unregistered births. Despite this progress, challenges persist, such as enhancing the completeness of CRVS data and addressing disparities in access to these services. This Stats Café will explore countries' experiences in estimating the completeness of vital events and explore qualitative research on CRVS inclusivity, with inclusivity a central theme for the upcoming Ministerial Conference on CRVS.Attached below are presentation files and here is pre-Recording videoDate: Monday 27 January 2025Time: 13-14.30 (UTC+7)Venue: MS TeamsVisit the Stats Cafe page here.
Description: In this session four presenters will share their experiences working with citizen data and persons with disabilities and lessons learned. Presentations will provide national examples from Ecuador, Kenya, and the Philippines and a regional example from the Pacific.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing.
Source: ESCAP SIAP (Data extracted on: 29 Jan 2025 )
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Organizer(s): UNSD ESCAP SIAP
Description: National statistical systems are increasingly using administrative data to compile official statistics. Such data can be utilized to better meet the increasing demands for new statistics and indicators that are highly disaggregated. Administrative data is not collected for the primary purpose of compiling official statisticsand statisticians need to ensure that the data meets certain criteria before using it to produce official statistics. This course provides an overview of administrative dataa discussion of data quality issues and institutional mechanisms to ensure that administrative data can be used in the production of official statistics. The course builds upon content developed for in-person training courses conducted by UNSD and to which members of the Collaborative on Administrative Data have provided valuable input.
Description: This is a comprehensive training course that covers application of Excel in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Source: ESCAP SIAP (Data extracted on: 21 Feb 2025 )
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Organizer(s): IMF ESCAP SIAP
Description: CPIs measure changes over time in the general level of prices of goods and services that households acquire (use or pay for) for the purpose of consumption. In many countriesthey were originally introduced to provide a measure of the changes in the living costs faced by workersso that wage increases could be related to changing levels of prices. Howeverover the yearsCPIs have widened their scope and now are widely used as a macroeconomic indicator of inflationas a tool by governments and central banks for monetary policy and for monitoring price stabilityand as deflators in the national accounts. With the globalization of trade and production and the liberalization of the marketsnational governmentscentral banksand international organizations place great importance on the quality and accuracy of national CPIsand their international comparability.
This series of inspiration workshops, organized by the United Nations Statistics Division (UNSD) under the Data for Now initiative, seeks to inspire countries on the various ways to leverage innovative approaches for improved data-driven decision-making. The series, which consists of three sessions, will showcase examples of how both participating and non-participating countries have been working on the core ideas of the initiative to achieve their national objectives. These include prioritization based on countries' needs in consultations with national partners and users, the use of innovative data sources, methods, tools, and partnerships, and the improvement of IT infrastructure to facilitate the integration of innovative approaches to fill data gaps.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims at providing a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts.The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Description: This course, presented by the Statistics Department, covers both the conceptual and practical aspects of compiling monetary statistics focusing on other financial corporations (OFCs) as set out in the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The main aim of this course is to foster a deeper understanding of the OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structures and how their financial data can be leveraged for compiling the broadest set of monetary statistics to understand liquidity and financing extended to the nonfinancial sectors and nonresidents by the financial corporations. The course also covers some aspects of financial statistics, of which the role of MFS in the balance sheet approach (BSA) for analyzing macro-financial vulnerabilities and how MFS fits into the IMF’s financial programming. The course integrates discussions on cutting-edge issues like Fintech, digital money and climate finance all related to MFS. Through a combination of lectures, countries’ presentations and case studies, the course familiarizes participants with practical aspects of compiling other financial corporations sector and the financial corporations survey. Emphasis is also placed on peer learning through sharing of country experiences among the participants.
Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks, and Ministries of Finance in EU Member States and candidate countries, particularly those working on Government Finance Statistics (GFS) and preparing for or supporting the implementation of the Excessive Deficit Procedure (EDP).
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide) . The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers, other financial corporations (OFCs), and nonfinancial corporations (NFCs). Regulatory framework for deposit takers. Accounting principles and data consolidation for the compilation of FSIs for deposit takers. Metadata reporting. Overview of FSIs for Household sector and Real Estate markets.
Target Audience: Officials at central banks and supervisory agencies of the financial sector involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This is a comprehensive training course that covers application of Excel in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: * Preparation of the sectoral financial statements and compilation of FSIs for deposit takers, other financial corporations (OFCs), and nonfinancial corporations (NFCs). * Regulatory framework for deposit takers. * Accounting principles and data consolidation for the compilation of FSIs for deposit takers. * Metadata reporting. * Overview of FSIs for Household sector and Real Estate markets.
Target Audience: Officials at central banks and supervisory agencies of the financial sector involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This course, conducted by the Statistics Department, presents a user-friendly tool developed by the department to automatically combine monetary, government, and international investment position data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis—an extremely useful tool for macro-financial analysis. Once the matrix is generated, country officials should be able to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement.
Target Audience: Officials at central banks, ministries of finance and other agencies in charge of compiling monetary and financial statistics, government finance/debt statistics, and external sector statistics; and/or overseeing macro-financial analysis.
Description: This workshop is intended for government officials engaged in coordinating and preparing voluntary national reviews (VNRs) in countries conducting review at the July 2025 High-Level Political Forum on sustainable development (HLPF). The workshop will facilitate practical exchange of experiences and knowledge among countries, as well as explore specific issues and challenges related to the VNR preparations.
Organizer(s): UN-GGIM: Americas ECLAC AI Generated
Description: Promoting female leadership in the geospatial sector is crucial to achieving gender equality and maximizing the human and technological potential of the field. UN-GGIM: Americas reaffirms its commitment to initiatives that recognize and empower the role of women in geospatial information management.
Description: The meeting is the first in-country assessment planned under the DA16 project and builds on existing initiatives of partners such as the Leave No One Behind Partnership. It will discuss key focus areas, present international guidance and best practices to key stakeholders and agree on a way forward.
Description: The United Nations Statistics Division (UNSD) carried out a capacity development mission to the Maldives to accelerate progress towards the production of core international migration statistics in the country as part of ongoing support under the DA 13 project 'Administrative data for disaggregated Sustainable Development Goals indicators in Africa, Asia and the Pacific and Latin America'. The mission consisted of a three-day workshop, 10-12 December 2024, co-organized with the Maldives Bureau of Statistics (MBS) and hosted by Maldives Immigration. The objectives of the workshop were to: familiarize MBS and relevant administrative data producers in the national statistical system (NSS) with the revised conceptual framework on international migration and temporary mobility statistics, discuss steps necessary for integrating administrative data sources across the NSS for the production of migration statistics, and examine available data and metadata across data producers, highlighting discrepancies and methods to harmonize variables. Following the workshop, a high-level meeting on 16 December with the leadership of MBS and Maldives Immigration endorsed the way forward, including the finalization of an MoU governing data sharing. The training underscored the importance of inter-agency cooperation to enhance the quality, timeliness and accuracy of migration data for improved policymaking.
Source: World Bank (Data extracted on: 30 Jul 2024 )
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Organizer(s): World Bank
Description: The Living Standards Measurement Study (LSMS), the World Bank’s flagship household survey program, is organizing The Pulse of Progress: Harnessing High-Frequency Survey Data for Development Research in the Polycrisis Era conference, which will take place on December 10, 2024, at the World Bank Headquarters in Washington, D.C. This one-day conference will celebrate four years of the LSMS conducting longitudinal High-Frequency Phone Surveys (HFPS) in Burkina Faso, Ethiopia, Malawi, Nigeria, Tanzania, and Uganda. Initially launched to address data and knowledge gaps related to the COVID-19 pandemic, these surveys facilitate routine monitoring of large-scale events, such as health emergencies or extreme weather, and their socioeconomic impacts on communities. They have had a transformative impact on national statistical and data systems, complementing existing in-person survey infrastructure with high-frequency data collection on policy-relevant topics. To date, more than 100 survey rounds and 200,000 interviews have been completed across the six countries. The Pulse of Progress: Harnessing High-Frequency Survey Data for Development Research in the Polycrisis Era aims to showcase applied research that leverages high-frequency phone survey data, including but not limited to the LSMS-HFPS, as the primary data source for addressing substantive questions in development economics and related fields.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP
Description: In today’s rapidly evolving worlddriven by technological advancementsclimate changeandpandemicsthe demand for timelygranularand high-quality data is surging. National statisticalsystems must adaptbecoming more agile and responsive to emerging demands. This seminar will delveinto how statistical systems can become more agile.The main topics covered in the ninth session of the Committee on Statistics are shown below. Threethematic areas have been identified that would benefit from further discussion at the level of chiefstatisticianshown in the circles.The purpose of this seminar is to share lessons among chief statisticians on agile statistical systems,inspire deliberations by the Committee on Statistics on agenda item 3 on emerging issuesAgile statistical systems that are fit for the future (ESCAP/CST(9)/3) and identify priorities going forwardincluding future work by the secretariat on the topic.There are two key objectives for the management seminar:• To identify examples of good practice on user focusbusiness process improvementand cross-functional teams in statistical organizations; and• To identify areas that would benefit from a regional approach.
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: Recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; Implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; Data dissemination and requirements of the World Bank's Quarterly External Debt Statistics (QEDS) database.
Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.
Description: This This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: * recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; * implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; * data dissemination and requirements of the World Bank's Quarterly External Debt Statistics (QEDS) database.
Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.
Source: Eurostat (Data extracted on: 30 Jul 2024 )
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Organizer(s): Eurostat
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP).
Description: This course shall present theoretical and practical issues related to the compilation of the sequence of accounts of the SNA (current and capital accounts, financial accounts, other changes in volume of assets accounts, and revaluation accounts) and balance sheets according to institutional sectors. The course is based on the conceptual framework of the System of National Accounts, 2008 (2008 SNA). The aim of the course is to provide participants with the necessary skills to compile the sectoral accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues as well as exercises that require the application of these concepts and that highlight practical compilation issues.
Target Audience: The workshop is intended for officials employed in national statistical agencies and central banks, who are integrally involved in the compilation of national accounts and financial accounts statistics.
Description: Planning and budgeting are among the most critical components of any institution, as they strategically address the pathways for achieving the institution’s vision as well as objectives for its establishment. As such, on-the-job training for planners and budget officers in areas of statistics is crucial for them to correctly plan with figures. This is, therefore, a comprehensive training course that covers the application of statistics, notably, forecasting techniques in Planning and Budgeting. This course focuses on the most popular business forecasting methods including regression forecasting, exponential smoothing, and ARIMA models.
Target Audience: People working in Public Institutions as Planners, Budget Officers, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Regional Training Course on the National Strategy for the Development of Statistics (NSDS) and Advanced Data Planning Tool (ADAPT) for Asia-Pacific
03 Dec 2024 – 05 Dec 2024
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): Paris21 ESCAP SIAP
Description: Better nationalregionaland global development policies underscored the need for resilient and trusted public data systems in evidence-based policymaking. Building back better from the pandemic and other crisesmany public statistical systems need to develop adequate capacities to cope with these new and rising data demands and coordinate strategically across the new data ecosystemFirstlydata producers need to coordinate efficiently to close data gaps at national level. Smart planningmonitoring and evaluationand service delivery measures require highly disaggregated data. Yetfor low and middle-income countrieslimited statistical capacity threaten response and future resilience. For instanceadministrative data systems including sectoral and local data are often inefficiently coordinated. Secondlyentering a decade of actiongovernments need to align globalregional and national policy objectives. This in turnrequires an in-depth mapping of data availability vis-à-vis data requirements. The heightened demand for data to monitor progress and inform policy and development choices necessitate a comprehensive data assessment and mapping at national levelwhich support better alignment of the national strategy for the development of statistics (NSDS) to data demand.Thirdlystatistical offices need to improve coordination with national and international partners to attract funding efficiently. Prioritisation and increased coordination of statistical activitiesfor instance through a national strategy for the development of statisticscan be conducive to attract more domestic funding as well as external resources. At the same timethere is ample scope to strengthen coordination between and among development cooperation partners and partner countries and promote south-south cooperation to make the status quo of funding for statistics more cost-efficient. The Partnership in Statistics for Development in the 21st Century (PARIS21) in collaboration with the Statistical Institute for Asia and the Pacific (SIAP) developed a unique training course for NSSNSO leaders and national planning senior managers to improve strategic planning for data and statistics developmentusing innovative tools and methods. The course will give a thorough introduction to the NSDS design process. In additionthis course will feature special topics on gender statisticsclimate change datachildren data as well as communications around the NSDS.
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th, 20th, and 21st ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policy-making which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2024 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 20th and 21st ICLS recommendations concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policy-making. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system in the context of the main outcomes of the 20th and 21st ICLS recommendations. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS and 21st ICLS resolutions on the statistics of work relationships and measuring informality as important pillars for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: Officials from National Statistical Offices (NSOs); Ministries of labour and related Institutions (such as labour observatories); Governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); Research and academic institutions; International organizations; Development agencies; Non-governmental organizations, etc.
Description: Planning and budgeting are among the most critical components of any institution, as they strategically address the pathways for achieving the institution’s vision as well as objectives for its establishment. As such, on-the-job training for planners and budget officers in areas of statistics is crucial for them to correctly plan with figures. This is, therefore, a comprehensive training course that covers the application of statistics, notably, forecasting techniques in Planning and Budgeting. This course focuses on the most popular business forecasting methods including regression forecasting, exponential smoothing, and ARIMA models.
Target Audience: People working in Public Institutions as Planners, Budget Officers, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This course is an eye-opener, democratizing the ethical development and use of AI to empower every human to achieve more: * Understand the working principles of Artificial Intelligences (AI); * Get to know the processes and tools involved in creating an AI; * Get to know impactful use cases of AI; * Understand the risks and challenges related to AI; * Unlock entirely new data sources for science by Leveraging existing AIs (without coding); * Training new custom AIs (with some coding).
Target Audience: Statistical production units and methodologist of NSIs.
Description: Please click here to join on Monday 2 December 2024 at 11:00 - 12:30hrs Bangkok time The United Nations Network of Economic Statisticians recently conducted a sprint to explore the development of a housing statistics framework to assist in monitoring, understanding, and addressing the multifaceted issues associated with housing across various regions and socio-economic contexts. This session will summarise the housing sprint and take a deep dive into Statistics Canada’s framework for housing data. The session will address some examples of challenges encountered by NSOs in producing data on housing and showcase innovative approaches to overcome some of these challenges by using administrative data, web scraping, satellite imaging, AI and other techniques. , Stats Café Home: Upcoming events Concluded events
Organizer(s): Hellenic Statistical Authority Greece National Institute of Statistics Romania Ecological University of Bucharest Romania
Description: The conference aims to offer a platform for academics and statisticians to share and discuss advancements in R statistical software, used in applied economics and Official Statistics.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: * This course shall democratize the accessibility of privately held data and valorisation thereof; * Get to know the techniques and tools to access privately held data; * Understand the stages of data valorisation pipelines, including data storage and accessibility; * Familiarize with the European Data Strategy and Digital Strategy; * Experiment with web-crawling, web-scraping, web-automation and API interfacing techniques; * Gain hands-on experience with diverse data mining techniques from privately held data sources.
Target Audience: Official Statisticians wishing to develop a toolbox for data acquisition with respect to privately held data at national level.
Source: Eurostat (Data extracted on: 02 Dec 2024 )
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Organizer(s): Eurostat
Description: Did you know that the harmonised index of consumer prices (HICP) currently covers the price changes of more than 400 products like pizza, rice, cars, and hotels? Did you know that the prices for olive oil showed the highest increase in the EU in September 2024, while the prices for liquid fuels showed the largest decrease? Consumer price indices measure changes over time in the prices of goods and services that households buy for consumption. These indices are used for various purposes, for example for conducting monetary policy, indexing commercial contracts, wages, social protection benefits and financial instruments. In the EU, the HICP provides a comparable measure of consumer price inflation. This webinar will give you general insights into the HICP, inform you on recent developments, and the work carried out at Eurostat. Our experts will show you how to find relevant data and information and guide you through Eurostat’s food price monitoring tool.
Organizer(s): UN-GGIM: Americas ECLAC AI Generated
Description: The Integrated Geospatial Information Framework (UN-IGIF) was developed in collaboration between the United Nations and the World Bank, with the purpose of providing guidance to countries in developing and strengthening their national and subnational arrangements on geospatial information management and related infrastructure.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The training course will introduce the theoretical and practical know-how of TSA compilation and will position TSA vis-à-vis primary tourism statistics. The main compilation challenges for each TSA table (with a focus on core tables 1 to 7) will be discussed, with the aim of improving the international comparability through maximising the use of existing harmonised European statistics. The final goal of the course is to prepare participants to embark on the production of TSA at national level or to improve the existing TSA and to better align national TSA to the international recommendations.
Target Audience: Staff of national statistical authorities involved in the production process of tourism statistics, national accounts or (tourism) satellite accounts, who want to acquire a good understanding of the macro-economic measurement of the tourism sector, in particular the tourism satellite accounting framework (TSA), with the objective to develop or improve TSA in their country. The training is targeted at experienced as well as novice or future TSA compilers with the aim of spreading/exchanging the know-how and best practices within and between the different levels of expertise.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: The objective of the course is to introduce participants to some advanced techniques of non-response treatment, variance estimation, calibration and sample coordination. Theoretical concepts and findings will be illustrated by examples and practical exercises. The course starts with an introduction to the R software, which will allow participants to better understand practical applications of presented survey techniques and their successful implementation in practice.
Target Audience: Junior or senior staff of methodology divisions using sample survey techniques in the production of statistics or staff with comparable knowledge.
Organizer(s): FAO West and Central African Council for Agricultural Research and Development Forum for Agricultural Research in Africa Association for Strengthening Agricultural Research in Eastern and Central Africa Centre for Coordination of Agricultural Research and Development for Southern Africa
Description: ASTI, a global leading programme in compiling and analyzing agricultural research data for over two decades.
Description: You are invited to join the UNLIA webinar featuring Mikiko Otani, a member of the UN Committee on the Rights of the Child. She will share insights from the CRC Committee’s recent observations to various countries, highlighting common challenges and gaps in achieving universal birth registration. Please refer to the attached note for more details. Date and Time: 22 November 2024 at 8:00-9:00 am ESTRegistration Link: https://unicef.zoom.us/webinar/register/WN_3roQ5yCSTfC_LB-ak32quwAgenda: TimeTopic8:00-8:05Opening remarks by Kirsten Di Martino, Senior Adviser, Child Protection, UNICEF HQ8:05-8:35The Convention on the Rights of the Child and Universal Birth Registration: Mikiko Otani, Member, UN Committee on the Rights of the Child8:35-9:00Discussion: moderated by Bhaskar Mishra, CRVS and Legal Identity Specialist, UNICEF HQ
Description: The 12th Statistical Forum of the International Monetary Fund (IMF) will take place in hybrid format (in person and virtually) in Washington, D.C. from November 20 to 21, 2024. The Forum is a platform for policymakers, researchers, the private sector, regulators, and compilers of economic and financial data to come together to discuss cutting edge issues in macroeconomic and financial statistics and to build support for statistical improvements. The theme of this year’s Statistical Forum is Measuring the Implications of Artificial Intelligence (AI) on the Economy. The increased use of AI presents both opportunities and challenges, with significant economic and societal implications. However, the impact of AI on the economy and society remains an evolving field of study. To understand these implications, governments, businesses, individuals require robust and comparable statistics. The 12th Statistical Forum will explore (i) the transformative potential of AI and where its impact will most likely be felt over the short to medium term, (ii) the impact of AI on jobs and productivity, (iii) the distributional implications of AI, (iv) how AI is being used by firms (including statistical agencies) and regulated by governments, and (v) some early attempts to produce official measures of the “AI industry”, “AI investment”, and the “use of AI”. The Forum will provide participants with an opportunity to share experiences and build on topics of mutual interest through presentations and panel discussions.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Description: As an integral part of the national data ecosystem, integrating household surveys with other data sources has become paramount to produce data that are more comprehensive, inclusive and timely. Such integration also helps improve quality and efficiency of household surveys. Improving sampling efficiency and coverage is one of the eight technical priorities of the "Positioning Household Surveys for the Next Decade", a paper prepared by the Inter-Secretariat Working Group on Household Surveys to guide the Group its support to national statistical offices. In this context, the UN Statistics Division and the National Bureau of Statistics of China are co-organising an international seminar on Integrating Household Surveys with diverse data sources. The seminar aims to foster knowledge exchange, explore innovative approaches, and address challenges related to survey data integration and interoperability. You are invited to submit abstracts (max. 250 words) for the technical meeting, focusing on one or more of the following aspects: - Practical experiences in negotiating data access with other data owners and in maintaining ethical standard and data confidentiality. - Experiences and work undertaken to improve interoperability of household surveys by design. - Methods used to build a multi-source frame for sampling. - Innovative approaches to integrate household survey with other data sources such as censuses, other surveys, administrative data and nontraditional data such as remote sensing, mobile phone positioning data, social media data and citizen-generated data. This may include record linkage or modelling. - Quality considerations for data integration and integrated data. We have limited funding for experts from low-income and lower-middle income countries. Deadline for submitting your abstract: 15 September 2024 (if you are interested in applying for funding) and 30 September otherwise. https://forms.office.com/e/LJY6Zxzsic.
Title in Spanish: Seminario regional sobre innovaciones y desafíos en encuestas de hogares
Organizer(s): ECLAC AI Generated
Description: El Seminario busca fomentar el intercambio de experiencias y buenas prácticas, promoviendo el uso de nuevas metodologías y tecnologías, con el fin de mejorar la precisión, comparabilidad y accesibilidad de la información estadística, garantizando su utilidad para la toma de decisiones basadas en evidencia.
Title in Spanish: XXV Asamblea General del Instituto Panamericano de Geografía e Historia
Organizer(s): IPGH OEA ECLAC PUCV AI Generated
Description: La XXV Asamblea General del IPGH se celebrará en Santiago, en la sede de la CEPAL, así como en la sede de la Pontificia Universidad Católica de Valparaíso (PUCV) en la misma ciudad.
Description: In this Global Network Webinar, we welcomed Anders Humlum of the Booth School of Business, University of Chicago. He presented on the topic of "The Adoption of ChatGPT." Anders and his co-author Emilie Vestergaard (University of Copenhagen) investigate the adoption of ChatGPT, the icon of Generative AI, using a large-scale survey experiment linked to comprehensive register data in Denmark. Surveying 18,000 workers from 11 exposed occupations, they document that ChatGPT is widespread, but substantial inequalities have emerged. Women are 16 percentage points less likely to have used the tool for work. Furthermore, despite its potential to lift workers with less expertise, users of ChatGPT earned slightly more already before its arrival. Workers see a substantial productivity potential in ChatGPT but are often hindered by employer restrictions and the need for training. Anders covered these and other key findings from the study at this webinar.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP
Description: Decreasing and properly managing solid wastes are priorities for many countries. These priorities are also reflected in the 2030 Agenda and the Sustainable Development Goals (SDGs) which call for substantially reducing waste generation through preventionreductionrecycling and reuseas well as for proper management of all kinds of waste. Solid wastes can have a negative impact on well-being. Data on solid waste generation and management by different actors in the economy are necessary to inform policies not only for the management of wastebut also policies related to circular economyresource use and ecosystems. This short course focuses on solid waste statistics and accounts. The solid waste accounts are based on the System for Environmental-Economic Accounting-Central Framework (SEEA-CF).
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: The overall objective of this regional workshop is to train staff from the statistical offices of Jamaica and Belize in the use of REDATAM for the development of web applications for online dissemination of census and survey microdata. With follow-up support from ECLAC to be provided as necessary, the two statistical offices will then use REDATAM for online dissemination of their 2022 census data.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP SPC
Description: The transition from paper and pencil interviewing (PAPI) to computer assisted personal interviewing (CAPI) has been one of the key hallmarks of national statistical offices’ (NSO) efforts to adopt efficient and cost-effective new technologies and modernize the collection and production of official statistics. CAPI combines the advantages of face-toface interviewing with the efficiency and accuracy of computer technology and brings several efficiencies including(i) improving data qualityreducing the time lag between data collection and data analysis; (ii) increasing the speed of data turnaround and release; and (iii) enabling significant savings in fieldwork and data processing costs.Like other subregionsthe Pacific Islands countries and territories havesince 2010embraced the transition to CAPI using Survey Solutions. While there has been significant investment in the new technology as well as national level support and training from the Pacific Community (SPC) for the conduct of surveys and censuseshigh staff turnover and capability gaps in the Pacific subregion necessitate continuous training to further strengthen existing capacity. Furthermorethe report of the 2023 capacity needs assessment conducted by SPC reveals a skills gap of 65% in data collection and places demand for training in collection applications (Survey Solutions) as one of the highest priorities for NSOs. This finding corroborated with the results of the 2023 Training Needs Assessment undertaken by the Statistical Institute for Asia and the Pacific (SIAP).
Description: This event is held within the framework of the Fifth United Nations World Data Forum, which will take place in Medellín, Colombia, from November 12 to 15, 2024.
Description: The overall objective of this technical assistance is to improve the technical capacity of staff and management of the Department of Gender Affairs, the Department of Statistics, and other Ministries, Departments and Agencies of the Government of Turks and Caicos Islands to collect, analyze, utilize and disseminate sex-disaggregated data in accordance with international standards and best practices.
Description: The Asia-Pacific Stats Café on "Countdown to Asia-Pacific Statistics Week" was held on Monday, 12 November 2024, from 13:00 to14:30 hrs (Bangkok time; UTC +7) About this Session With Asia-Pacific Statistics Week approaching, preparation is vital to ensure we get the most impact from the week of events. The ninth session of the Committee on Statistics of the Economic and Social Commission for Asia and the Pacific (ESCAP) will take place from 11 to 13 December as part of Asia-Pacific Statistics Week, which will be held under the theme "Power of Data" from 9 to 13 December 2024 in Bangkok. This Stats Café session will introduce the different events and segments of the week and is designed to help participants prepare for their effective participation. The week will start on Monday, 9 December, with the twentieth session of the Governing Council of the Statistical Institute for Asia and the Pacific (SIAP), which will consider the Director's report on SIAP’s achievements in 2024, as well as the evaluation and the strategic plan for the period 2025–2029. On Tuesday, 10 December, the nineteenth management seminar for heads of national statistical offices will be held, which will complement discussions at the Committee and Governing Council sessions. The ninth session of the Committee on Statistics of the Economic and Social Commission for Asia and the Pacific (ESCAP) will take place from 11 to 13 December 2024. The Committee session will feature a high-level segment for member States to assess progress on the Declaration on Navigating Policy with Data to Leave No One Behind and identify priority actions that require resources, initiative, engagement or other investment by Governments, as well as participation by the whole of society, to put the region fully on track to achieve the 2030 Agenda for Sustainable Development. The senior officials' segment will focus on developing agile statistical systems and review progress on decisions from the eighth session. Additionally, UN entities and other international organizations and interested stakeholders can showcase their work related to the "Power of Data" theme through lightning talks or exhibitions. Related links: Committee on Statistics, Ninth Session UNSIAP , Stats Café Home: Upcoming events Concluded events
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP
Description: This course offers participants the opportunity to explore and interpret key techniques in data visualizationboth for data exploration and effective data presentation. Learners will analyzeevaluateand apply essential principles of data visualization through dedicated case studiesaddressing the challenges of visualizing complex datasets. The course emphasizes strategies for visualizing multi-dimensional data and introduces practical methods for representing statistical indicators on maps and within dashboards.While the course introduces popular softwareit is not focused on any particular tool. Participants are encouraged to use the software of their choicetailoring the techniques to their specific needs.Designed as an interactive e-learning experiencethe course comprises six moduleseach following a structured progression with mandatory pedagogical activities. These include videosinteractive contentchatslive lectureswebinarsdocument readingsexerciseshomework assignmentspollsand quizzesall aimed at engaging participants in active learning and application of the material.
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014), with an emphasis on new concepts introduced in GFSM 2014. The course requires that participants are familiar with the basic GFS framework and classification system. Emphasizing the integrated GFS framework, the course addresses complex cross-cutting GFS issues, such as social protection, government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and public sector balance sheets. It also examines coverage of the public sector, giving special attention to borderline and complex cases. The course discusses internal and intersectoral data consistency, coordination between data-producing agencies, as well as data presentation and communication with users. The format is lectures and discussions.
Target Audience: Officials whose main responsibility, for at least three years, has been compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues, such as those described below.
Description: This two-week course, conducted by the Statistics Department, familiarizes participants with the sources and methods to develop macroeconomic relevant climate change-related indicators that can inform economic and financial policies. The participants gain an understanding of a) environmental accounting concepts; b) how to assess global/open-source datasets that can be used for the compilation; and c) the different approaches and methodologies used to estimate the indicators. The course consists of a series of lectures, workshops, and plenary discussions on country practices describing the methods for compiling environmental and climate change statistics, including data sources. Participants will have the opportunity to discuss compilation challenges they have encountered and gain insights into the analytical uses of the environmental and climate change statistics. The statistics covered include Environmental revenues and expenditures, Natural Resource Accounts, Physical and Transition risk indicators, Air Emission Accounts and Sustainable Finance indicators.
Target Audience: Officials from National Statistics Agencies, Ministries of Finance, Planning and Environment, Central Banks and other agencies, who are responsible for compiling environment and/or climate change related indicators.
Organizer(s): UNSD DANE Colombia Ruta N Colombia City of Medellin Colombia AWS Esri GPSDD UN MGCY ECLAC OpenMined GeoVille DataProvider.com
Description: Hosted in Medellín, Colombia by Ruta N and DANE and organized by the United Nations and partners in conjunction with the World Data Forum, UN Datathon 2024 will challenge participants to localize the Sustainable Development Goals (SDGs) at the city level, with a focus on Medellín, Colombia. The event centers on urban sustainable development, addressing three critical themes: Sustainable Tourism, Urban Waste Management, and Circular Economy. Teams will develop innovative, data-driven solutions that strike a balance between economic growth, environmental preservation, and community well-being. The Datathon aims to showcase how localizing SDGs can foster resilient, inclusive cities and demonstrate how Medellín’s strategies can serve as blueprints for sustainable urban development globally.
Source: Eurostat (Data extracted on: 11 Dec 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: * Provide an overview of the key concepts of SEEA ecosystem accounting; * Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ environmental and national accounting, * Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of ecosystem accounting.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants engaged in statistical, technical and other analytical training, presentations, consulting and facilitating group discussions with enhanced levels of competence and the expertise required to be effective in understanding and managing groups and individuals. It provides excellent insights into ‘statistical consulting’ which is frequently part of the statistical trainers’ role.
Target Audience: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences.
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts, methods, and challenges of compiling CPIs. Concepts and methods introduced in the online CPIx are explored in greater detail to address actual compilation issues faced by participants. It provides an overview of the index number theory and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing/validating weights; and practical applications of the methods used for sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; adjusting prices for quality changes; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs).
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts, methods, and challenges of compiling CPIs. Concepts and methods introduced in the online CPIx are explored in greater detail to address actual compilation issues faced by participants. It provides an overview of the index number theory and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing/validating weights; and practical applications of the methods used for sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation.
Target Audience: Compilers of consumer price indexes (CPIs).
Description: This course, conducted by the Statistics Department, presents a user-friendly tool developed by the department to automatically combine monetary, government, and international investment position data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis—an extremely useful tool for macro-financial analysis. Once the matrix is generated, country officials should be able to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement.
Target Audience: Officials at central banks, ministries of finance and other agencies in charge of compiling monetary and financial statistics, government finance/debt statistics, and external sector statistics; and/or overseeing macro-financial analysis.
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Introduction to geographic information systems, geospatial standards, and the spatial data infrastructure in Europe. * Presenting the role of geospatial information in the statistical production process and statistical data dissemination. * Hands-on experience with GIS tools and thematic mapping.
Target Audience: Statisticians involved in the production and analysis of statistical data. Focus on geocoding of data, data integration based on location, spatial analysis, and presentation of statistics on maps.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to offer an overview on the various necessary steps to compile a supply-and-use system and for the transformation of the resulting data in matrices, focusing on practical examples on how that compilation is made. The second objective is to provide an introduction into input-output analysis and to show how this technique may be used for structural analyses. In particular the course aims at illustrating in which fields input-output analysis can be used to address questions of high political relevance.
Target Audience: The course is targeted at ESS staff interested in the principles of compiling supply and use tables according to ESA2010 and in understanding the main concepts and the potentials of input-output analysis for empirical investigations of high political relevance; Sound command of English.
Description: The second webinar will address some examples of the most common housing indicators that are needed and produced, as well as some of the more familiar challenges encountered by NSOs in producing data on housing. Furthermore, the webinar will showcase innovative approaches to overcome some of these challenges by using administrative data, web scraping, satellite imaging, AI and other techniques.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Title in Spanish: Taller para la generación de indicadores de cambio climático en República Dominicana
Organizer(s): ECLAC ONE Dominican Republic AI Generated
Description: La ONE impulsa el fortalecimiento de estadísticas ambientales y de cambio climático a nivel nacional, colaborando con el SEN para superar los desafíos de la información multidisciplinaria necesaria para monitorear el impacto del cambio climático.
Description: For this Global Network Webinar on “Beyond GDP – Stakes, Challenges, and Statistical Contributions”, we welcomed Stefan Schweinfest and Amr Nour from the UN Statistics Division (UNSD) to discuss the developments around measuring progress beyond Gross Domestic Product (GDP). The webinar gave valuable insights into the policy and political momentum behind this agenda, including the latest relevant action from the Summit of the Future. Amr Nour highlighted the key stakes and challenges, emphasizing the need to move beyond GDP's blind spots in capturing human well-being, environmental sustainability, and inequality. The speakers elaborated on the potential contributions from statistical frameworks, accounts, and work streams across the economic, environmental, and social/demographic domains. Examples included the updated System of National Accounts, the System of Environmental-Economic Accounting, and initiatives like the Statistical Framework for Measuring Sustainable Tourism and Bhutan's Gross National Happiness Index. The Q&A session reflected the statistical community's interest in finding the right balance between conceptual breadth and practical simplicity in developing a new dashboard of progress indicators. Participants emphasized the need for broad stakeholder engagement, user-driven priorities, and building on existing initiatives to ensure country ownership and global comparability.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims at providing a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts.The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6).
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP UN-WOMEN
Description: The achievement of the Sustainable Development Goals (SDGs) requires the availability of high-qualitytimely and reliable data to produce the relevant SDG indicators and other statisticsdisaggregated as relevant. To meet this needofficial statistics must modernize and incorporate new data sourcesincluding Big Data. At its 53rd session in 2022the Statistical Commission underscored the importance of mainstreaming the use of big data and data science into the work programmes of national statistical offices and the necessity to include training in big data and data science into the training curricula of national statistical offices. This course is a first response to this injunction by sharing experienceand providing the pedagogical activities required for understanding the process leading to the production and dissemination of official statistics and SDGs with new data sources.The course Big DataInnovative Methods and Applications for Achieving organized by the United Nations Statistical Institute for Asia and Pacific (UNSIAP)with the contribution of the UN Women Centre of Excellence for Gender Equality (SeoulKorea) will be conducted from 21 to 25 October 2024in ChibaJapan.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Statistics Norway
Description: To create an awareness of the possibilities and challenges of mixed mode questionnaire design generally, and for IESS surveys specifically.
Target Audience: Pretesting, data collection and subject matter specialists conducting or planning mixed mode data collection for social surveys covered by the IESS framework regulation.
Organizer(s): Bank Indonesia UNSD UNCTAD AI Generated
Description:
The international high-level seminar aims to help policymakers, statisticians, academics, and others understand the increasing trend of cross-border digital trade. The discussion will focus on policy issues, opportunities, and challenges related to digital trade. It will also address the participation of SMEs and individuals/households in utilizing digitalization to boost economic growth and explore innovative methodologies for collecting cross-border digital trade statistics. It targets a diverse audience of approximately 100 in-person participants, including central bank representatives, government officials, statistics compilers, academics, and private sector members.
Description: The webinar, organized by the Friends of the Chair Group on Social and Demographic Statistics, in collaboration with the United Nations Statistics Division (UNSD), will explore the concept of time as a crucial integrating element in social and demographic statistics. The event will address best practices for data collection and dissemination frequencies, the importance of longitudinal data and life course approaches in understanding social outcomes, and propose mechanisms to ensure the adaptability and relevance of demographic and social statistics over time. Key themes include managing trade-offs between timeliness and resource constraints, understanding social outcomes through life course transitions, and incorporating generational measures to reflect societal changes. The webinar aims to foster comprehensive discussions and generate recommendations that enhance the collection, analysis, and dissemination of demographic and social statistics.
Source: Eurostat (Data extracted on: 02 Dec 2024 )
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Organizer(s): Eurostat
Description: This year, the EU celebrated the 20th anniversary of its historic enlargement. 20 years have passed since 1 May 2004, when 10 countries – Cyprus, Czechia, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovakia, and Slovenia – and over 74 million new citizens joined the European Union, marking a major milestone in European integration. Did you know that Albania, Bosnia and Herzegovina, Georgia, Moldova, Montenegro, North Macedonia, Serbia, Türkiye, and Ukraine are currently candidate countries to become EU members? This webinar will introduce you to Eurostat’s role in the EU enlargement process, its cooperation with the European neighbourhood policy group as well as the EU candidate countries and the potential candidate in the field of statistics. It was part of the European Statistics Day 2024 initiative: ‘Official statistics, a window for understanding society’.
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB), other depository corporations (ODCs) and other financial corporations (OFCs) in accordance with international statistical standards. Course materials are based on the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectoring of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants will also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. They will also gain a deeper understanding of the OFCs sector and their relevance for compiling a broader and often more reliable measure of the liquidity available in an economy and financing extended to the nonfinancial sectors and nonresidents by the financial corporations.
Target Audience: Central bank officials, officials from financial regulatory agencies responsible for compiling monetary statistics as well as users interested in understanding key conceptual framework and compilation process.
Description: To support NSS in Data for Now committed countries to effectively communicate data insights for increased data uptake by various users, the United Nations Statistics Division (UNSD) and the United Nations Development Programme (UNDP) is conducting a series of training sessions on data visualization and communication. Effective data visualization is a key component in the interpretation and communication of complex statistical information, which can help transform raw data into visual insights that are easier to utilise for decision-making. For participants, understanding the building blocks of the key data visualization practices, combined with a practical understanding of effective and user-friendly visualization tools will be important in supporting them to disseminate their findings and making the data more accessible downstream. Additionally, the sessions will touch base on the geospatial domain with key concepts related to geospatial data visualization and provide practical tools and skills to achieve this objective.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP ILO
Description: The causes and consequences of informal employment and employment in informal sector and their impact on achieving sustainable development continues to gain attention in national development agendas. The evidence in developing and emerging economies shows that on average the proportions of people in informal employment ranges from close to two thirds in emerging economies to nearly 90% in low-income countries. Thereforeevery national policy targeting povertysocial protectionor decent work needs to recognise the role of the informal economy in national development. Yetthe lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies. This regional training course brings together statisticians and labour analysts from Asia-Pacific national statistical systems to discuss technical aspects and share experiences in the production and use of statistics on informality.
Description: FAO proposes to advance methodological development for analysing public domestic resource flows through the review of public expenditure on forests based on officially accepted norms and definitions provided by international standards and FAO instruments.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment; * To train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of revisions; * To prepare and to motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending the tool.
Target Audience: Advanced users of seasonal adjustment methods involved in regular/massive data production and/or developers involved in the integration of SA methods in their IT environment wishing to enhance their knowledge of the JDEMETRA+ tool and/or using or potentially developing relative plug-ins. Ideal participants are either young statisticians with some interest in IT or young IT specialist with some interest in statistics. People currently using TRAMO/SEATS and/or X12 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Participants will understand different quality concepts, European Statistical System (ESS) quality criteria, the European Statistics Code of Practice and its Common Quality Framework and know how to apply methods to measure quality concepts.
Target Audience: Employees of national statistical agencies involved in quality management, measurement and reporting.
Organizer(s): UNSD UNCTAD Bank Indonesia AI Generated
Description:
The international workshop will cover topics described in the recently released Handbook on Measuring Digital Trade, which establishes a framework for compiling cross-border digital trade statistics and addresses the pressing need for accurate measurement in this rapidly evolving domain. Participants will learn about the conceptual framework for statistics on cross-border digital trade and discover sources and methods for compiling digital trade statistics. This event is essential for statistical compilers, policymakers, and data users seeking to ensure that the adoption of digitalization in international trade is well captured and understood.
Title in Spanish: Taller de intercambio de las buenas prácticas del IPC y su sincronización respecto al Programa de Comparación Internacional (PCI)
Organizer(s): INE Chile ECLAC AI Generated
Description: El Taller de intercambio de las buenas prácticas del IPC y su sincronización respecto al PCI, se realizará del 14 al 18 de octubre de 2024 en la sede del INE de Chile (Moránde 801, piso 2, Santiago).
Source: Eurostat (Data extracted on: 01 Dec 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of the course is to improve knowledge of the fundamentals of energy statistics and the concepts involved in producing coherent and comprehensive energy balances that represent the energy situation in a country.
Target Audience: Statisticians dealing with compilation of energy statistics who wish to understand more about the overall energy statistics system, the specifics of forms of energy and tools or techniques for energy statistics.
Description: Join this insightful webinar organized by the Friends of the Chair Group on Social and Demographic Statistics (FOC), in collaboration with the United Nations Statistics Division (UNSD), exploring the critical role of location, geography, and places in social and demographic statistics. The places where people grow up, live and work significantly influence their lives, revealing disparities and informing policy through place-based breakdowns and geo-spatial analysis. This session will also discuss how geography acts as a crosscutting element, integrating various data sources and linking different statistical domains. Key topics include the use of georeferenced data, the potential of satellite imagery, and techniques like small area estimation to address data gaps. The discussion will highlight national perspectives and user demands, showcasing examples of how 'place' can predict social outcomes and enhance data dissemination through geoportals.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of this course is to introduce participants to the practice of output checking for confidentiality risks. The course focuses on output that is generated by researchers from official microdata. In most cases researchers will have had access to microdata through the Research Data Centre of the data producer to produce the output. The participants will be invited to bring their own case studies for discussion in the training.
Target Audience: The course is intended for staff checking output that was created by external researchers or output from varying statistical analyses created by colleagues in statistical offices.
Description: The United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM), in collaboration with the Government of México through Instituto Nacional de Estadística y Geografía (INEGI) will convene the Seventh High-level Forum on United Nations Global Geospatial Information Management with the theme "Accelerating Implementation: Achieving Resilience" in México City from 8 - 10 October 2024. This seventh edition of UN-GGIM's High-level Forums will continue UN-GGIM's regular high-level, multi-stakeholder discussions on global geospatial information management, through the convening of global forums, aimed at promoting comprehensive dialogue among Member States, and between Member States and relevant international organizations, UN system entities, and stakeholders At its thirteenth session in August 2023, the Committee of Experts, with decision 13/101, welcomed the offer of the Government of México, through its National Institute of Statistics and Geography, to host the Seventh High-level Forum in México City in October 2024 and confirmed the support of the Committee of Experts in the development and implementation of the programme of the Forum. The Seventh High-level Forum has the substantive support from each of the five Regional Committees of United Nations Global Geospatial Information Management (UN-GGIM: Africa, UN-GGIM: Americas, UN-GGIM: Arab States, UN-GGIM: Asia and the Pacific, and UN-GGIM: Europe), as well as the functional groups and thematic networks of the Committee of Experts.. An advisory committee has been established to develop and promote a compelling substantive agenda for the High-level Forum with high-level keynote and plenary presentations for the three days. Additional information including an outline of the substantive programme, local arrangement and logistical information will be provided on this website when available.
Description: Background The Economic and Social Commission for Asia and the Pacific (ESCAP) and the United Nations Environment Programme (UNEP), together with other United Nations Development System partners, are working to strengthen the capability of countries to collect, process and disseminate data and statistics to respond to emerging economic, social and environmental data needs in times of crises and disasters through the use of innovative data sources, advanced data acquisition methods and modern technologies, while ensuring a path towards the achievement of the 2030 Agenda. In Bhutan, during 2024-25, through support from the United Nations Development Account, activities are underway to support the following outcomes: The production of land and forest accounts, in line with Bhutan’s published System of Environmental-Economic Accounting (SEEA) implementation plan. The creation of a strategic plan for producing and developing disaster-related statistics. To initiate this support a capacity building workshop on SEEA land and forest accounting, and a multi-stakeholder consultative workshop on disaster-related statistics were held in Thimphu between 8-10 October 2024, with the involvement of the National Statistics Bureau (NSB) of Bhutan and relevant stakeholders. Aim and Objectives The workshops had the following primary objectives: Provide practical support on the identification and application of available data sources for the development of land and forest accounts, in line with the Bhutan’s published SEEA implementation plan. Follow up on actions identified in the 2023 High-Level Seminar on Statistical-Geospatial Integration, with a focus on the use of geospatial data for SEEA compilation. Enhance awareness and understanding of relevant international statistical frameworks, guidelines and tools on disaster-related statistics. Identify and prioritise national data needs for disaster-related statistics through a multi-stakeholder workshop. Support the identification of priority data and capacity gaps to facilitate the development of a national plan for disaster-related statistics. A key outcome was the development of an agreed approach for taking forward the production of land and forest accounts and developing a strategic plan for disaster-related statistics for Bhutan.
Source: Eurostat (Data extracted on: 23 Apr 2024 )
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Organizer(s): Eurostat Icon-Institut
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: The webinar will take discuss the idea of developing a primer, a jointly created/resourced document that would provide users with a 'how to' develop or improve their own data strategy.
Description: The Global Network Webinar on "Unlocking the Power of Large Language Models for Official Statistics: Opportunities, Challenges, and Practical Uses", hosted by the Global Network of Data Officers and Statisticians on 8 October and presented by Amilina Kipkeeva from the UN Economic Commission for Europe (UNECE), provided a comprehensive overview of the growing impact of Large Language Models (LLMs) like ChatGPT and Claude within the official statistics community. The webinar highlighted the significant opportunities LLMs offer to boost productivity and improve user experience, as well as the challenges related to privacy, accuracy, and ethical considerations that require careful attention. The event covered key topics such as the fundamentals of LLMs, their potential applications in various stages of statistical production (from survey design to data dissemination), and the risks and mitigation strategies identified in a recent white paper by the High-Level Group for the Modernisation of Official Statistics (HLG-MOS). Amilina also shared insights from a survey conducted by UNECE on the adoption of generative AI in official statistics, which revealed a broad agreement on the technology's potential impact, as well as the need for formal policies and staff training to address concerns around data security, privacy, and ethical use. The webinar highlighted several compelling use cases, including the Bank of International Settlements' AI-powered metadata editing tools, the Australian Bureau of Statistics' successful application of LLMs for occupation code updates, and the efforts of Statistics Canada and Deutsche Bundesbank in leveraging LLMs for report generation and content creation. The presentation emphasized the importance of international collaboration and knowledge sharing as the official statistics community navigates this rapidly evolving landscape. During the Q&A session, participants raised questions about the development of policies and governance frameworks to guide the responsible use of LLMs, as well as the potential for these technologies to address challenges around human resource gaps in statistical organizations, particularly in developing countries. The discussion also touched on the distinction between internal and external use of LLMs, and the importance of ensuring the accuracy and reliability of LLM-generated outputs when engaging with the public.
Description: Background: Statistical data exchanges often take place in an ad-hoc manner, using all kinds of formats and non-standard concepts, hence the need for common standards, guidelines and tools to enable more efficient processes for exchanging and sharing statistical data and metadata. SDMX (Statistical Data and Metadata eXchange) is an international initiative that aims to standardize and modernize ("industrialize") the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. The standard has evolved in recent times, going beyond straightforward data exchange and now enabling more efficient and reliable data storage and dissemination. SDMX is a business choice (as opposed to a technical choice), improving the quality of statistical data-processing and exchange through standardization, automation, validation and data-sharing. SDMX is a standard (indeed an ISO standard, 17369:2013) designed to describe statistical data and metadata, normalize their exchange and enable them to be shared more efficiently among organizations. To meet these three requirements, SDMX has three key components: 1. Technical standards (including the Information Model); 2. Statistical guidelines; 3. An IT architecture and tools. SDMX is therefore much more than a mere data-transmission format. All labour market information (LMI) systems implemented with the assistance of the ILO are based on and make intensive use of SDMX. The objective of the course is to enable participants to understand the scope, architecture and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata. This will enable the to: - Assess how to take advantage of SDMX in their day-to-day work; - Understand DSDs and MSDs, and how they reflect requirements for data and metadata exchange; - Work together (statisticians and IT specialists within an organization) in planning for SDMX in their domain; - Learn how to model data in using SDMX for data-exchange, storage and/or dissemination; - Understand the relationship between SDMX and the production of statistics; - Understand the different roles of organizations in the collection and production of statistics and their relationship with SDMX; - Understand (in broad terms) the different tools available in the marke, and the architecture that can be developed; - Understand how SDMX enables data harmonization across a system.
Target Audience: National statistical offices (NSOs); IT specialists; Ministries of labour and related Institutions (such as labour observatories); Governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); Research and academic institutions; International organizations; Development agencies; Non-governmental organizations; etc.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Understand the challenges and the issues of web data; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: This sprint, the second in a series of online events organized by the Friends of the Chair Group on Social and Demographic Statistics, in collaboration with the United Nations Statistics Division (UNSD), is an opportunity to take stock of and review essential elements for developing and maintaining population data systems fit for current and future data demands. Indeed, countries are expected to significantly transform their data collection and processing systems, by adopting digital-first, multi-mode methods, increasing utilization of geospatial information and administrative data sources, and developing strategies to address and adapt to potential shocks and disruptions. Against this background, this sprint will discuss both current and emerging practices to enhance the quality of population statistics and will address ongoing challenges and the growing need for integrated data sources, innovative methods, and techniques to meet diverse data demands effectively.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: The objective sof this course are: * To provide participants with a theoretical and methodological background on the development of indicator systems, especially in the context of monitoring SDGs; * To build up a common understanding of terms, definitions, as well as the role and limits of official statistics in the construction and maintenance of indicator systems; * To provide knowledge about the links between policy makers and other users of indicators and the statistical community providing data and indicators; * The course will not address the following topics: ** Construction of individual indicators; ** Construction of data platforms and reporting procedures for SDGs monitoring; ** Use of indicators in statistical models.
Target Audience: Staff members working in the field of monitoring the UN Sustainable Development Goals (SDGs) or of economic, social or environmental statistics or who need to extend their knowledge on how to use indicators and indicator systems
Description: The African Development Bank’s Statistics Department, in collaboration with the National Institute of Statistics Rwanda (NISR), will host the Second Edition of the Innovate Africa Symposium on 2-4 October 2024 in Kigali, Rwanda. Centered on "Strengthening Data Governance in the African Data Ecosystem," the symposium will address recent significant advancements in data governance that will ultimately benefit the entire continent, highlighting the pivotal role of robust data governance frameworks in harnessing data for socio-economic growth in the digital era. Participants will include an eclectic mix of leaders from government, civil society, the private sector, academia, and international organizations who will deliberate on enhancing transparency, efficiency, and innovation through effective data governance. Symposium sessions will be both plenary and panel discussions. Parallel sessions exploring different dimensions of data governance will take place on Innovation & Strategy, Platforms & Process, and Case Studies & Technology Demos.
Organizer(s): Zoom Video Communications, Inc. AI Generated
Description: The WHO/UNICEF JMP, in collaboration with Emory University, presents priority gender-specific indicators for enhanced monitoring of SDG WASH targets identified through a multi-stakeholder expert review. This webinar will briefly introduce the priority indicators, present emerging data on gender inequalities in WASH, and discuss opportunities for integrating gender-specific indicators into national and global monitoring of WASH.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP ESCAP
Description: According to the World Health Organization in 2021 more than 700 million people in Asia and the Pacific lived with some form of disabilitywhich accounted for 16 per cent of the population. Persons with disabilities encounter social and economic barriers and bias in all aspects of life. Disability statistics enable tracking socioeconomic indicators related to persons with disabilitiestherefore understanding better their needs to participate in society on an equal basis and identifying policy gaps to ensure disability-inclusive development.Within the framework of the 2030 Agenda for Sustainable Developmentdisability inclusion in the development process has been increasingly crucialnecessitating the need to improve disability disaggregated data to monitor disability-related Sustainable Development Goal (SDG) indicators. At a regional levelthe Incheon Strategy to ‘Make the Right Real’ for Persons with Disabilities in Asia and the Pacificthe regional development goal to promote disability inclusionreinforces the importance of disability-disaggregated data to measure progress against its targets and indicators. Disability data as a critical instrument to advance disability-inclusive development was reaffirmed by the adoption of the Jakarta Declaration on the Asian and Pacific Decade of Persons with Disabilities2023–2032. Underscoring the continued implementation of the Incheon Strategythe Jakarta Declaration urges regional stakeholders to take measures to close disability data gaps and strengthen statistical capacities.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP
Description: Climate change is one of the most pressing issues of our time. Its impacts on well-being are far reachingincluding impacts on health and the economy. Humans have contributed to climate change largely through economic activities which are intrinsically linked to climate change. Our supply and use of energy for example has led to increased emissions of greenhouse gases which have resulted in global warming. A better understanding of the relationship between the economy and climate change through the compilation of relevant indicators is key to mitigating and adapting to climate change.This course will focus on climate change indicators that can be compiled from environmental economic accounts. After a brief overview of climate change andrelevant polices and multilateral agreementsparticipants will learn how to compile various indicators that inform climate change. The focus of the course is on better understanding the relationship between climate change and economic activity. And the statistical framework that provides the conceptsdefinitionsand methodology for measuring this relationship is the System of Environmental Economic Accounting. Participants will learn about physical supply and use tables for energy and air emissionsand indicators that can be compiled from these accounts. Other topics to be discussed include transaction accounts which can be used to derived expenditure type indicators such those on taxes on energy and pollution. Further details on course content follow below.
Description: This course, offered by the ILO, gives economists and analysts a solid foundation for assessing the state and trends of labour markets based on robust analysis of labour statistics. It examines empirical questions regarding the labour market leveraging cross-sectional, time series, and panel data models, as well as quantitative economic models. Several sessions are devoted to how to interpret findings and draft powerful data stories to identify critical decent work and social justice gaps and potential policies to address them. The course also discusses the limitations of the tools used and introduces causal inference models, which can overcome some of them. Participants will attend interactive lectures and applied workshops, where they use Stata for hands-on exercises and work with real world datasets to craft analysis.
Target Audience: Economists & Analysts From Ministries Of Labour, National Statistical Offices, Ministries Of Finance, Central Banks, Research And Academic Institutions, International Organizations, Development Agencies And Non-Government Organizations.
Description: This one-week course will be presented by experts from the International Monetary Fund's Statistics Department. The course will be based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). This course consists of lectures covering national accounts concepts, methods, and framework; estimating Gross Domestic Product using the production, expenditure and income approach; Supply and Use tables: and price and volume measures The course will feature interactive lectures and hands-on exercises that enable participants to operationalize what they learn. The main lectures and workshops include: (i) Overview of the System of National Accounts, (ii) Gross Domestic Product by Production, Expenditure and Income approach (iii) Supply and use tables (iv) Price and Volume measures (v) Measuring economic activities at the regional level- Conceptual principles and compilation issues
Target Audience: The workshop is intended for government officials who are integrally involved in the compilation of national accounts statistics.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): IMF ESCAP SIAP SPC
Description: Consumer price indexes (CPI) measure changes over time in the general level of prices of goods and services that households acquire (use or pay for) for the purpose of consumption. In many countriesthey were originally introduced to provide a measure of the changes in the living costs faced by workersso that wage increases could be related to changing levels of prices. Howeverover the yearsCPIs have widened their scope and now are widely used as a macroeconomic indicator of inflationas a tool by governments and central banks for monetary policy and for monitoring price stabilityand as deflators in the national accounts. With the globalization of trade and production and the liberalization of the marketsnational governmentscentral banksand international organizations place great importance on the quality and accuracy of national CPIsand their international comparability.CPIs are official statistics that are usually produced by NSOsMinistries of Finance and Labouror central banks. They are published as quickly as possiblegenerally within four weeks after the reference period. This face-to-face coursedeveloped jointly by SIAPIMFand SPCaims to build capacity to improve the compilation of consumer price indexes (CPI) that reflect international standards and best practice as described in the 2020 CPI Manual. Course topics will include overview of index calculation methodsdeveloping weightsselecting samplesprice collectiondata dissemination. The program will include interactive discussions to share country experiencespractical exercises to apply concepts and methods discussedand limited lecture.
Description: The Asia-Pacific Stats Café on "Statistical Training needs Assessment Tool (STAT): a tool to make informed decisions about capacity needs" was held on Monday, 30 September 2024, from 15:00 to 16:00 hr (UTC+7). About this Session The quality of statistics produced by the National Statistical System (NSS) depends on the capabilities of their staff, as well as the ability/opportunities of staff to maintain and increase their capabilities. To ensure that staff of NSS continue to increase their capacities to meet the new demands for data, there is a need for the NSO to understand the training needs of the NSS staff. The Global Network of Institutions for Statistical Training (GIST) has developed the Statistical Training needs Assessment Tool, also known as STAT, which is a tool for National Statistical Offices (NSOs) to assess and analyze skills gaps of staff and decide on how to prioritize and meet their training needs by using different types of informal and formal learning approaches. STAT focuses on all types of job functions including staff working in statistics production, IT, communication, management, finance, HR, and other administrative functions. Staff working with statistics production within the National Statistical System (NSS) can also be included in the assessment. During this Stats Café, participants learned more about the tool and how it could be implemented by NSOs in the Asia Pacific region. Flyer Presentations Statistical Training needs Assessment Tool (STAT) in brief (GIST) Staff Skills and Institutional Transformation of National Statistical Offices: Experience of the Ghana Statistical Service Roles and Speakers Role Suggestions for speakers Welcome Remarks Shailja Sharma Moderator Sokol Vako Presenters Charlotte Juul Hansen —UNSD Peter Takyi Peprah —Ghana Discussants J. S. Tomar —India Aishath Hassan —Maldives , Stats Café Home: Upcoming events Concluded events
Description: Relationships are a crucial, but underexplored, building block of social and demographic statistics. This webinar, the first in a series of online events organized by the Friends of the Chair Group on Social and Demographic Statistics (FOC), in collaboration with the United Nations Statistics Division (UNSD), will examine relationships at multiple levels—among and between individuals, groups large and small, and institutions. The event will provide an opportunity to review what is currently known about "relationships" and how they are measured across different national statistical systems. It will also explore gaps in understanding and highlight the most important concepts that need further investigation. The webinar aims to define why relationships are essential and to gain a deeper understanding of their characteristics, functions, and impacts. This will guide the FOC's efforts to establish recommendations on how relationships should be treated from a measurement perspective in social statistics.
Source: Eurostat (Data extracted on: 11 Dec 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: To learn state of the art techniques in survey sampling.
Target Audience: NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.
Description: The African Development Bank’s Statistics Department, in collaboration with the National Institute of Statistics Rwanda (NISR), will host the Second Edition of the Innovate Africa Symposium on 25-27 September 2024 in Kigali, Rwanda. Centered on "Strengthening Data Governance in the African Data Ecosystem," the symposium will address recent significant advancements in data governance that will ultimately benefit the entire continent, highlighting the pivotal role of robust data governance frameworks in harnessing data for socio-economic growth in the digital era. Participants will include an eclectic mix of leaders from government, civil society, the private sector, academia, and international organizations who will deliberate on enhancing transparency, efficiency, and innovation through effective data governance. Symposium sessions will be both plenary and panel discussions. Parallel sessions exploring different dimensions of data governance will take place on Innovation & Strategy, Platforms & Process, and Case Studies & Technology Demos.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Make the participants aware of what is involved in the acquisition of PHD for use in official statistics, including the European legal and policy background and what is needed for developing partnerships. The course should enable the participants to apply the acquired knowledge in roles such as developing policies concerning the acquisition and use of PHD and developing partnerships.
Target Audience: Staff from NSIs who are involved or wish to become involved in the acquisition of privately held data (PHD) as a source for official statistics. This engagement may come in different shapes, such as involvement at a legal or policy level, in negotiations with holders of PHD or stakeholders engagement.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Present the essentials concepts of open data and linked open data; * Improve data management skills in exploring feasible data sources, finding publications, data portals and how to publish them.
Target Audience: Official statisticians (including process managers) with data management skills, who are interested in exposing data and metadata assets using linked data principles. The course is not meant to be targeted exclusively at IT specialists but can also be useful for staff involved in dissemination.
Description: UNSD hosted a Global Network Webinar on the topic "Measuring the Sustainability of Tourism” with Clara van der Pol of UN Tourism and with Peter Laimer from Statistik Austria and Julio López Astor from the National Tourist Office of Spain, who are co-chairs of the UN Tourism Committee on Statistics. The speakers provided an overview of the newly endorsed Statistical Framework for Measuring the Sustainability of Tourism (MST), developed under the leadership of the UN Tourism Committee on Statistics. Clara van der Pol introduced the framework, highlighting its purpose to provide a harmonized methodology to effectively assess the sustainability of tourism across economic, environmental, and social dimensions. Peter Laimer shared experiences from Austria, where measuring tourism from a holistic point of view has become a key priority, including the development of a set of 26 indicators. Julio López Astor presented on Spain's initiative to measure residents' attitudes towards tourism, aiming to track perceptions and capture potential changes between high and low tourism seasons. The Q&A session touched on the impact of the upcoming System of National Accounts (SNA) update on the tourism sustainability framework, the importance of integrating emissions data and other environmental indicators, and the MST framework being a great example on how to measure progress beyond GDP. The speakers emphasized that the MST framework is a first step, with room for continuous improvement and implementation support for countries.
Description: Unpaid care work refers to work - performed without expectation of pay or profit - that is oriented to meeting people's physical, psychological, cognitive, and emotional needs. It sustains individual health and wellbeing and is essential to the functioning of societies everywhere . Most unpaid care work occurs as own use provision of services (also termed unpaid domestic and care work). It is intra-household and/or intra-familial, undertaken by and for members of the same household or by and for relatives living elsewhere. Not all unpaid care work takes place within household or kin networks. It is also routinely provided within wider communities or networks, via direct- or organisation-based volunteering. In recent years, the measurement of unpaid care work has been accorded new priority in official statistics . This has occurred as part of a wider revitalisation of interest in the topic in national and international policy circles. There is growing acknowledgement of the economic contribution of unpaid care work, which, based on conservative estimates, would amount to nine per cent of global GDP were it accorded monetary value . Similarly, there is growing recognition of the untenability of a status quo whereby, globally, women and girls contribute over three quarters (76.2 per cent) of the total hours spent daily on unpaid care work, to the detriment of labour force participation, access to formal employment and decent work, and involvement in the wider public sphere. Since 2015, the Sustainable Development Goals (SDGs) have mandated countries to produce statistics on the "proportion of time spent on unpaid domestic and care work, by sex, age and location" (SDG indicator 5.4.1), while also recognising a central role for volunteer work in the realisation of the wider 2030 Sustainable Development Agenda . Nationally, data on unpaid care work has relevance for a wide range of public policy areas, especially when collected alongside data on labour force participation and employment. Such data provide for a much fuller treatment of gender-based differences and inequities. They permit a fuller analysis of the contribution of unpaid work to national economies, alongside improved monitoring of transitions in the social organization of care work, from unpaid- to market-based provision (or vice versa). Current international standards for labour statistics provide a strong conceptual framework for the measurement of unpaid care work, and volunteer work more broadly , in labour force surveys. This course will explain and operationalise the current guidelines for the measurement of unpaid care work and volunteer work, and will demonstrate available methods, tools, and practical resources. The ILO Department of Statistics, in collaboration with the ITCILO, is proud to offer the first edition of the online course "Measuring Unpaid Care Work & Volunteering in Labour Force Surveys".
Target Audience: Statisticians from national statistical offices; Ministries of labour and other institutions involved in production of work, social, and gender statistics; - Governmental agencies responsible for developing and implementing policies addressing unpaid care work/volunteer work, labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations. - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations.
Description: The ITCILO and ILO's Employment Department, Skills and Employability Branch join forces to bring learners a course on "Tracer Studies" to measure impact of vocational training. Tracer studies or graduate surveys are standardised surveys of graduates from education institutions, which take place some time after graduation or at the end of a training. Tracer studies commonly s topics include questions on study progress, the transition to work, work entrance, job career, use of learned competencies, current occupation and bonds to the education institution (school, centre, university). Tracer studies are common in higher education, but are becoming more and more popular in technical and vocational education and training (TVET). Reforms and programmes seeking improvement of TVET systems (you can check our website for the upcoming course on Skills anticipation and matching) try to respond to labour market needs and contribute to overcoming skills mismatch, and support the transition from school to work; to achieve these objectives, TVET institutions need data from tracer studies to measure their effectiveness and the impact they have generated.
Target Audience: Statisticians from national statistical offices; Ministries of labour and other institutions involved in production of work, social, and gender statistics; - Governmental agencies responsible for developing and implementing policies addressing unpaid care work/volunteer work, labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations. - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations.
Description: This course, presented by the Statistics Department and delivered in collaboration with the Bank for International Settlements (BIS) and the European Central Bank (ECB), familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the BIS, and the ECB, published in May 2015. The course covers definition and features of securities, securitization, and related operation; valuation and recording of securities; classification schemes and presentation tables for securities; and security-by-security databases. A practical exercise on valuation and recording of different types of debt securities complements the lectures.
Target Audience: Officials in central banks and other agencies responsible for collecting and compiling securities statistics.
Description: Provisional Programme Concept note (English | 中文) Self-Assessment Tool on the Readiness to Use Administrative Data for Census (SATRAC) (Excel file) Objectives and Outcomes The workshop aims to strengthen participants’ capacity on how to better use administrative data to support the census. The objectives of the workshop are to: Provide an overview of the different potential uses of administrative data sources for the census. Discuss the concepts, features, preconditions, considerations, challenges, opportunities, and processes involved in the use of administrative data sources for census purposes. Discuss the self-assessment tool on the readiness to use administrative data for census purposes. Introduce the “Generic model for the transition from a traditional census to register-based approaches”. Draft potential approaches to increase the use of administrative data for censuses in participating countries. Exchange experience and learn from participating countries. Resources This workshop builds upon the Regional Training Workshop on Transition to Register-based Approaches for Population and Housing Censuses. Some of the key resources for this workshop include: UNFPA Register-Based Census eLearning Course United Nations Economic Commission for Europe. Guidelines on the use of registers and administrative data for population and housing censuses. United Nations, New York and Geneva, 2018. United Nations Economic Commission for Europe. Guidelines for assessing the quality of administrative sources for use in censuses. United Nations, Geneva, 2021. United Nations Statistics Division. Handbook on Registers-Based Population and Housing Censuses, 2022. Economic and Social Commission for Asia and the Pacific. Emerging Trends in Census Approaches in Asia and the Pacific – with country examples. United Nations, Bangkok, 2022. ESCAP Stats Briefs: Tapping into administrative data in census-taking: an emerging trend in Asia and the Pacific (2022) Are population censuses in Asia and the Pacific evolving? (2021) Population registers: a key resource for producing vital statistics (2020)
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: * Aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material. * Describes the purpose, use and construction of HICP. * Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data.
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP ESCAP Mongolia
Description: Quality data are vital for enabling governmentsinternational organizationscivil societyprivate sector and the general public to make informed decisions and to ensure the accountability of representative bodies. Effective planningfollow-up and review of the implementation of the 2030 Agenda for Sustainable Development requires the collectionprocessinganalysis and dissemination of an unprecedented amount of data and statistics at localnationalregional and global levels and by multiple stakeholders.
Launch of the Assessment, Analysis & Redesign of Civil Registration & Vital Statistics (CRVS) and the Use of CRVS-Related Evidence to Inform Gender–Sensitive Policies
Description: The event served as a platform for policy advocacy based on findings from key initiatives aimed at improving Civil Registration and Vital Statistics (CRVS) and leveraging CRVS-related evidence to inform gender-sensitive policies in Fiji. The report of the Assessment, Analysis & Redesign of Civil Registration & Vital Statistics (CRVS) Processes in Fiji as well as two policy briefs (i) An Intersectional Profile of Adolescent Pregnancy and Motherhood in Fiji were disseminated to key stakeholders and (ii) Target Groups for Addressing Disparities in On-Time Birth Registration were disseminated to national stakeholders, including the Ministry of Justice, the Ministry of Health & Medical Services, the Fiji Bureau of Statistics, the Ministry of iTaukei Affairs, the Ministry of Women, Children & Social Protection as well as other national agencies and development partners. The event was attended by the Minister of Justice, Hon. Siromi Turaga. Preparations towards the Third Ministerial Conference on Civil Registration and Vital Statistics in Asia and the Pacific, to be held from 24 to 26 June 2025 in Bangkok, Thailand, were also launched in the presence of the honorable Minister of Justice. The event highlighted significant advancements and set the stage for continued progress in CRVS and gender-sensitive policy-making in Fiji. Report: Assessment, Analysis and Redesign of Civil Registration and Vital Statistics Processes in Fiji Policy Brief: Adolescent Pregnancy and Motherhood in Fiji Policy Brief: Addressing Disparities in On-Time Birth Registration , HOME - Project: CRVS E2A for Gender Policy Project countries: Bangladesh Fiji Events
Source: Eurostat (Data extracted on: 23 Apr 2024 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Regulation (EC) No 1099/2008 and its implementation. The main focus will be on concepts, definitions, methodology and data validation on annual questionnaires (including discussions on issues observed in practise). The course will focus on aiming at improving the quality aspects of annual energy statistics and facilitate the learning processes on the Annual Hydrogen questionnaire.
Target Audience: Data providers in national administrations involved in the production of ESSPROS (European System of integrated Social Protection Statistics) data, with an interest in understanding the links between ESSPROS and national accounts and their potential use in the compilation of the ESSPROS data.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat
Description: The course will provide participants with a solid understanding of the links between ESSPROS and national accounts, related concepts and how to implement/exploit these links to identify and understand differences/similarities between the data produced by the two statistical systems.
Target Audience: Data providers in national administrations involved in the production of ESSPROS (European System of integrated Social Protection Statistics) data, with an interest in understanding the links between ESSPROS and national accounts and their potential use in the compilation of the ESSPROS data.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Providing participants with a better understanding of the principles of creating, developing and disseminating data visualisations to a wide audience: * Various means of content visualisation (infographic, video, animation, etc.); * Different ways of using infographic, video, animation; * The do’s and don'ts of content visualisation; * How to display your own content and organise it effectively; * How the media use visual material; * Familiarize participants with open-source data visualization tools commonly used in statistics. Equip participants with the necessary skills to effectively analyze and present statistical data using open-source tools.
Target Audience: ESS staff with some basic knowledge of data visualisation.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Content: * An introduction to Earth Observation; * Examples using EO for statistical reporting; * Processing and analyse of EO data; * Practical exercises on receiving EO data; * Advanced analytics; * Reporting statistical values; * Question and Answer Session.
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of Earth observation, geographic information systems and statistics. Participants are expected to have knowledge of Earth observations and Scripting.
Description: The overall objective of this technical assistance is to improve the technical capacity of staff and management of the Department of Gender Affairs, the Department of Statistics, and other Ministries, Departments and Agencies of the Government of Turks and Caicos Islands to collect, analyze, utilize and disseminate sex-disaggregated data in accordance with international standards and best practices.
Description: In this Global Network Webinar, we welcomed Herman Smith of the United Nations Statistics Division (UNSD). He presented on the topic “Towards the 2025 System of National Accounts (2025 SNA).” The System of National Accounts 2025 (2025 SNA) updates the 2008 SNA to include new economic developments such as globalization and digitalization, and strengthens the articulation of the linkages between the System of National Accounts and broader measures of well-being and sustainability. The presentation covered the update process and main changes to the 2008 SNA, the development of implementation guidance and a 2025 SNA implementation strategy.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course will enable you to pick your next top data-science programming language; * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Description: Background The ESCAP Committee on Statistics decided at its 7th Session decided to “feature big data for official statistics in its future work, with an emphasis on sharing country research, experiences and good practices and facilitating capacity development” and “strengthening legislative provisions and institutional mechanisms to enable national statistical systems to take full advantage of new and innovative technologies while respecting the Fundamental Principles of Official Statistics.” In implementing this decision, ESCAP is running a capacity development project entitled the 2030 Data Decade - Strengthening the institutional capacity of national statistical offices in Asia and the Pacific to use innovative, new and big data sources for official statistics in support of the 2030 Agenda for Sustainable Development (the Big Data Project) amongst others. One component of this project involves capacity development in the area of web scraping prices focusing on consumer price indices in Azerbaijan, Cambodia, Fiji, Lao PDR, Maldives, Nepal, Thailand, Tonga and Uzbekistan. Concept note and Tentative programme Objectives and Expected Outcomes The in-person workshop's overall aim is to embed the knowledge and skills delivered to participants via the webinars May through August 2024. By the end of the workshop, participants will: Have embedded Python coding knowledge and skills for web scraping prices data and applied this to their chosen website. Understand how to process and clean web-scraped data, ready for inclusion into the CPI calculation process. Have discussed further and explored coding to automate a pipeline for incorporating web scraped prices data into the NSO’s processes. Have a deeper appreciation of the methodological challenges for incorporating web scraped prices into CPI calculations, and how to overcome these.
Description: The Asia-Pacific Stats Café on "Balancing Access and Confidentiality: The Role of Synthetic Data in Official Statistics" was held on Monday, 16 September 2024, from 14:00 to 15:15 hrs (UTC+7). Concept note Flyer Presentations UNECE: Synthetic Data for Official Statistics & the UNECE Starter Guide Thailand: Why we need Synthetic Data New Zealand: Balancing Access and Confidentiality: The Role of Synthetic Data in Official Statistics Singapore: Data Exploration and Research: Use of Synthetic Data in the Singapore Department of Statistics Agenda Moderator: Afsaneh Yazdan, ESCAP Opening remarks: Rachael Beaven (3 mins) Presentation 1: Introduction to Synthetic Data and the Guide, Christopher Jones, UNECE (10-15 mins) Presentation 2: Thailand (10-15 mins) Presentation 3: New Zealand (10-15 mins) Presentation 4: Singapore (10-15 mins) Q & A and discussion Closing remarks: Rachael Beaven (2 mins) Concept Note Producers of official statistics encounter the complex challenge of balancing data access with confidentiality. They must safeguard the confidentiality of individuals and businesses while addressing the increasing demand for detailed datasets. Traditionally, national statistical offices have granted trusted users, such as academics, access to micro-level data while providing aggregate statistical tables to other users. However, this approach is not a perfect solution, as it restricts the level of detail available to many users, and the process of vetting and managing trusted users is time-consuming and does not guarantee data security and confidentiality. An alternative solution is the use of synthetic data, which replicates the properties of the original dataset and yields comparable insights, thereby significantly reducing the risk of disclosing sensitive information. This Stats Café session explored the potential of synthetic data and how some countries have used or considered the use of synthetic data in the Asia-Pacific region. Relevant links UNECE Publication: Synthetic Data for official statistics Article on synthetic data (aimed at non-technical readers): Could synthetic data redefine the way we share statistical insights? , Stats Café Home: Upcoming events Concluded events
Description: Health policy evidence-building requires data sources such as healthcare claims, electronic health records, probability and nonprobability survey data, epidemiological surveillance databases, administrative data, and more, all of which have strengths and limitations for a given policy analysis. Data integration techniques leverage the relative strengths of input sources to obtain a blended source that is richer, more informative, and with better fitness-for-use than any single input component. This presentation notes the expansion of opportunities to use data integration for health policy analyses, reviews key methodological approaches to expand the number of variables in a data set or to increase the precision of estimates and provides directions for future research. As data quality improvement motivates data integration, key data quality frameworks are provided to structure assessments of candidate input data sources.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing an advanced knowledge of the elaboration and use of statistics on: trade in goods, services, financial flows, trade in value added and IIP statistics.
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide the participants with a state of the art knowledge of the methodology and practice of nowcasting; * To introduce the participants to the use of R to produce nowcasts for their own series.
Target Audience: Staff of national statistical institutes involved in the production process who want to acquire a good understanding of nowcasting methods and practices.
Description: The annual Seminar on national accounts for Latin America and the Caribbean, 2024 is held in hybrid format (in-person and virtual) on 10 and 11 September 2024, at ECLAC headquarters.
Description: The webinar will take the participants through the key features of a successful data strategy such as the establishment of measurable objectives, reporting, outcomes, governance model and getting the users' buy in. Additionally, this webinar will showcase the difference between international and national data strategies, as well as project-level versus organizational data strategies to equip participants with the knowledge necessary to bring to their own projects.
Description: Addressing climate change, biodiversity loss and other related issues requires high quality and consistent data on the environment-economy nexus. The System of Environmental Economic Accounting (SEEA) provides the agreed upon statistical framework for measuring the relationship between the environment and the economy. There is a need to strengthen the capacities of NSOs to produce and disseminate SEEA accounts to better meet the needs of users for high quality integrated data on climate change, biodiversity and the economy. In the Central Asia region, national statistical offices (NSOs) have expressed strong interest to compiling various SEEA accounts, including taking steps towards compiling energy and air emission accounts which are among the most relevant accounts for informing climate change. Ecosystem accounts inform biodiversity as well as climate change related issues. With the recent adoption of the Kunming-Montreal Global Biodiversity Framework (GBF), demand by users for ecosystem accounts will increase as the SEEA Ecosystem Accounting is the methodological base for several headline indicators of the GBF. The workshop, organized by the United Nations Statistics Division (UNSD) and the UN Statistical Institute for Asia and the Pacific (SIAP), with the support of the Office of the Director-General for Policy Planning on Statistical Policy, the Ministry of Internal Affairs and Communications of the Government of Japan, and in collaboration with the National Statistical Committee of the Kyrgyz Republic aims to further build capacities in the Central Asia region for the compilation of SEEA accounts relevant to climate change and biodiversity.
Description: The ESCAP-ASEAN Workshop on Tracking Progress Against the SDGs Tracker aims to convene technical experts from the ASEAN Secretariat and national statistical agencies and institutions of ASEAN Member States involved in the compilation, reporting, and monitoring of activities related to the Sustainable Development Goals (SDGs). The primary objective is to equip WGSDGI members with the skills to effectively utilize statistical indicators and quality data for tracking SDG implementation progress. Participants will have the opportunity to understand how SDG progress is being tracked, identify their countries’ strengths and gaps in SDG tracking, and explore ESCAP’s methodology and the SDG Tracker tool. This workshop will demonstrate how these tools can support and streamline SDG assessments at the national level. Target participants ASEAN Secretariat and members of the ASEAN Working Group on SDG Indicators (WGSDGI) from the national statistical agencies and institutions involved in the compilation, reporting, and monitoring of activities related to the SDGs.
Organizer(s): UNHCR ESCAP NSO India BPS Indonesia AI Generated
Description: The Asia-Pacific Stats Café on "Asia and the Pacific Regional Trends on Forced Displacement and Statelessness" was held on Monday, 9 September 2024, from 11:00 to 12:15 hrs (UTC+7). Concept note Flyer Presentations UNHCR: Asia-Pacific Regional Trends Report 2023 Population and Housing Census in Thailand: The Analysis of Stateless Persons National Statistical Office Presented Indonesia's experience in Population Data collection from Census and Survey UNHCR RBAP, in collaboration with ESCAP, organized this Stats Café to: Highlight the trends in forced displacement and statelessness in Asia and the Pacific in 2023. Share Thailand's experience in including stateless people in the CRVS system and census. Share Indonesia's experience in including refugees, IDPs, and stateless people in the national survey. Please find the following methodology papers which provided more detailed guidelines on statistical inclusion of forcibly displaced and stateless people in national systems: EGRISS Methodological Paper 1 on standardized refugee and IDP identification questions in surveys. Including refugees or IDPs in a population census. Including refugees in a sample survey of the national population, or running a stand-alone survey of refugees. Including IDPs in a sample survey of the national population, or running a stand-alone survey of IDPs. First issue of the EGRISS Methodological Paper Series. The collection of documents is intended as the Expert Group's input to ongoing methodological debates. , Stats Café Home: Upcoming events Concluded events
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The aim of the course is to: * give an overview of the functioning of ESS, including ESS procedures and concepts; * create understanding of the requirements originating from the EU cooperation * introduce in the relations of the European statistical world with EU institutions, the legal basis of the ESS, the decision-making process, the cooperation among the different stakeholders, etc.; * prepare participants and enable them to tackle the day-to-day challenges of the ESS system for the purpose of strengthening efforts and thereby increasing their involvement; * train the participants in negotiating with colleagues from other European countries, including negotiation and presentation skills, effective oral communication and active participation in an ESS meeting..
Target Audience: Staff members wishing to understand the framework and functioning of the European Statistical System (ESS) as well as staff who participate or will be participating in the meetings of committees, working groups and task forces.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP Paris21 Mongolia
Description: This training will provide NSO heads with leadership skills to improve their effectiveness through greater awareness of their strengths and weaknesses and the challenges they face both internally within their organization and externally within the larger environment they are engaging with. OftenNSO heads rarely have the opportunity to receive extensive feedback from staff and stakeholders outside. It is necessary to have to open opportunity and understanding to build a comprehensive plan for driving success within the NSO and the NSSand by extension the data ecosystem.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP UNODC-KOSTAT UN-WOMEN
Description: This regional training introduces crime statistics from a gender perspective to produce reliable indicators to monitor the relevant SDGs (SDGs 5 and 16). The training provides an opportunity for participants to learn about gender concepts and frameworks on SDG indicators relevant to crime and criminal justice statistics including gender-based SDG targetswith the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statisticsto inform policy decisions at national and international levels.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences. Courses will provide attendees with the competences required to be effective when training/teaching colleagues in statistical, technical and analytical topics. Specific details can be seen under ‘Outcomes’ below.
Target Audience: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences.
Description: This course, presented by the Statistics Department, introduces the fundamentals of compiling monetary statistics, with special attention to other financial corporations (OFCs). It also gives an overview of financial statistics and national accounts. The course material is based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). Although the course summarizes the main principles underlying the compilation of monetary statistics, it assumes participants already understand these principles (e.g., having participated in the MFS-I course). The core of the course deals with characteristics of various OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structure, and their role in the financial sector. The course also covers some aspects of financial statistics, dealing with financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world; the balance sheet approach to vulnerability analysis; and the relationships between monetary, balance of payments, government finance, and national accounts statistics. The course consists of lectures and case studies to familiarize participants with practical aspects of compiling monetary statistics for OFCs and the basic principles underlying the compilation of national accounts. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.
Description: The second session of two-part series to be held on Monday, 2 September 2024, from 12:00 to 13:00 hr (UTC+7), following the first session on Wednesday, 14 August 2024, from 12:00 to 13:00 hr (UTC+7).This Stats Café series aims to provide support to participants in the process of completing the questionnaire for the 2025 review of progress in implementing the Regional Action Framework on CRVS in Asia and the Pacific. The objectives of the series are as follows:For ESCAP to share more information on the process and timeline for completing the questionnaire for the 2025 review of progress in implementing the Regional Action Framework on CRVS in Asia and the Pacific, including highlighting some frequently asked questions and answers;For countries that have already completed the questionnaire to share experiences and lessons learned;For participants to ask and/or seek clarification from ESCAP on any questions and required information in the questionnaire;To update participants on preparations for the 2025 Ministerial Conference on CRVS in Asia and the Pacific and call for their support in facilitating optimal engagement from their governments.Concept notePresentations2025 review of progress in implementing the Regional Action Framework on CRVS in Asia and the Pacific: Process, timeline, and FAQsPhilippines: Completing the Questionnaire for the 2025 Review of Progress in Implementing the Regional Action Framework on CRVSMaldives: Experience Sharing on 2025 Review Questionnaire CompletionPreparations for the 2025 Ministerial Conference on CRVS in Asia and the Pacific.embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; }
Description: The producer price index (PPI) and the export and import price index (XMPI) are important complements to the consumer price index (CPI) in drawing a more complete picture of how inflation affects major parts of an economy, including businesses and institutions, in addition to households. These indexes are used to deflate production and expenditure values in the national accounts, adjust prices in long-term contracts, analyze short-term inflation trends, and perform terms of trade analysis.In the Producer, Export, and Import Price Index course, or PPIx, you will learn the fundamentals of how these statistics are compiled and used. In this course, we take a close look at the types of transactions and prices included in these indexes, and how they are weighted together to create the total index values reported in the news.
Target Audience: Compilers of producer price indexes (PPIs) and export and import price indexes (XMPIs), and users of these data interested in understanding key concepts and compilation issues.
Description: As Uganda undergoes rapid urbanization, the pressures on urban infrastructure, services, and management are escalating. However, amidst these challenges lies a significant opportunity to harness advanced spatial and remote sensing data to optimize urban planning, decision-making, and resource management. In preparation for this transformative phase, three organizations—Sunbird AI, UN Global Pulse, and ToroDev—are collaborating under […]
Title in Spanish: Evento paralelo – Cuentas Nacionales de Transferencia (NTA) y Cuentas Nacionales de Inclusión (NIAs)
Organizer(s): ECLAC DANE Colombia
Description: Partiendo de la importancia de la estimación de las NIA y las NTA para los países de la región en la formulación de políticas y programas públicos que tengan en cuenta los cambios demográficos, este evento tiene como objetivo compartir las buenas prácticas y desafíos que desde la perspectiva de las y los directores o gerentes de las oficinas nacionales de estadística, organismos internacionales y otros actores clave del ecosistema de datos identifican en la implementación y adaptación de las NIA y las NTA en los sistemas estadísticos, así como su uso para la toma de decisiones en materia de política pública.
Description: The Asia-Pacific Stats Café on "Governance Statistics – New Solutions and Approaches to Address the Information Gap" was held on Wednesday, 28 August 2024, from 14:00 to 15:00 hr (UTC+7). Concept note Flyer PowerPoint presentations Governance statistics to monitor SDG 16, including through the SDG 16 Survey Praia Group on Governance Statistics About the session This session aimed to provide updated information, guidance and tools for NSOs and statisticians to address data gaps in reporting on the SDG 16 survey-based indicators and to strengthen official statistical production on participation in political and public affairs and on non-discrimination and equality. Seven years after the adoption of the 2030 Agenda for Sustainable Development, the Asia Pacific region faces considerable challenges in monitoring targets for Sustainable Development Goal (SDG) 16 (“Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels”.) Many countries in the region have prioritized SDG 16 in their national development priorities, recognizing the importance of addressing peace, justice and inclusion as part of sustainable development. However, reporting progress on SDG 16 indicators has been a challenge. ESCAP’s 2024 SDG Progress Report notes that SDG 5 on Gender equality and SDG 16 continue to be the goals with the least available data and for SDG 16 there is no data for nearly 60% of the indicators and only 23% of the indicators have sufficient data. The SDG16 Survey Initiative jointly developed by UNDP, UNODC, and OHCHR, and approved by the United Nations Statistical Commission provides a high-quality, well-tested tool that countries can use to measure progress on many of the survey-based indicators under SDG16. The SDG16 Survey is primarily for countries that are not yet producing SDG 16 indicators in line with relevant SDG metadata and was created to translate the approved metadata for survey-based SDG 16 indicators into a consolidated survey instrument. The tool is made available to national statistical systems, which might want to use it according to their needs and priorities, either as a standalone survey, to collect data on all the indicators in one single operation, or as separate modules to be inserted in other household surveys. The Survey focuses on eight domains, namely: Access to Justice – Access to Dispute Resolution Mechanisms; Access to Justice – Violence Reporting; Corruption; Discrimination; Harassment; Physical Violence; Psychological Violence; Satisfaction with Public Services; Sexual Violence; and Trafficking in Persons. Meanwhile, the Praia City Group on Governance Statistics continues to work towards the establishment of global standards for measuring key areas of governance statistics, building on the Handbook on Governance Statistics which was endorsed by the UN Statistical Commission in 2020. With the landmark adoption in 2023 of an updated Classification of Statistical Activities (CSA 2.0) which includes Governance as a new domain of official statistics, the need for such standards and internationally agreed methods for compiling statistics on various sub-domains of governance has become even more pressing. This session informed about the ongoing work of two Task Teams of the Praia Group which were developing short survey modules to enable the production of globally comparable official statistics on Non-Discrimination and Equality and on Participation in Political and Public Affairs. In 2024, twelve NSOs across the world will be field-testing or piloting the draft modules, and eight more have committed to doing so in 2025. To date, however, no NSO in the Asia-Pacific region has indicated interest in testing the modules. The Praia Group Task Teams are keen to engage with NSOs of the region to discuss the relevance of these modules in the Asia-Pacific context, and the possibility of testing them, independently or as part of a larger survey already planned for 2024 or 2025. It is of paramount importance for NSOs from all regions and all development contexts to participate in this critical testing phase, to validate the applicability of the modules across diverse socio-cultural and political settings. , Stats Café Home: Upcoming events Concluded events
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This is a side event of the twenty-third meeting of the Executive Committee of the SCA-ECLAC. The objective of the seminar is to share innovations from the 2020 census round and lessons learned from the perspective of directors of national statistical offices. It seeks to contribute to the planning of the 2030 census round, enhancing lessons learned and capacities acquired in light of the results and challenges.
Description: The CRVS applied research training (CART) initiative focuses on enhancing CRVS systems through supporting applied research on strategies, interventions, and tools. This project aims to strengthen the capacity of CRVS practitioners to conduct high quality relevant research. The first workshop was held in Dubai, United Arab Emirates, from 26 to 30 August 2024. The agenda is attached.
Description: FAO water data experts participated in the World Water Week in Stockholm from 25 to 29 August, contributing to the global annual conference on water.
Description: The theme of the IFC 2024 Biennial Conference, to be held at the BIS in Basel on 22–23 August 2024, is “Statistics and beyond: new data for decision making in central banks”. The programme will cover issues such as the evolving role of the central banks’ statistical function, in particular to produce official statistics and support policy-making; opportunities and challenges related to new data sources and tools, including advances in artificial intelligence and data science; and ongoing international statistical initiatives, especially the revision of the System of National Accounts (SNA) and balance of payments (BPM) manuals, the G20 Data Gaps Initiative (DGI), and the implementation of the Statistical Data and Metadata eXchange (SDMX) standard.
Title in Spanish: Taller para la generación de cuentas de ecosistemas de Guatemala
Organizer(s): ECLAC Banco de Guatemala AI Generated
Description: El objetivo de esta asistencia técnica fue la de revisar conceptos clave de la Contabilidad de los Ecosistemas para fortalecer las capacidades de la Sección de Cuentas Ambientales del Banco de Guatemala y conocer buenas prácticas en la región para impulsar su desarrollo.
Description: The webinar will be held on 20th August 2024, 11:00-12:00hr Bangkok Time (UTC+7). ESCAP Statistics Division continues to support member states in strengthening their statistical capacity to produce relevant data to monitor the 2030 agenda. Different countries are at various stages of progress in implementing SDGs and face different challenges while adapting all the time. The most critical aspect of monitoring SDG progress is data. Data is produced by different agencies in a country. As part of implementing SDGs as a global development agenda, countries have adopted different approaches to suit their specific national contexts. Others have created national action plans as a way of implementing SDGs and overall national SDG progress across various goals and targets. This webinar will showcase the process of creating a national action plan for implementing and monitoring SDGs by the National Development Planning Agency of Indonesia (Bappenas). The webinar will give insights on how key users of statistics apply data in national development planning in practice. , Stats Café Home: Upcoming events Concluded events
Description: This course, presented by the Statistics Department, deals with identification and assessment of elementary indicators and techniques for combining them into a single index of economic activity to track national trends. Flash estimates or indexes of economic activity bring together a range of elementary indicators to give timely general measures of economic activity. These measures give policy makers useful information that complements annual and quarterly GDP estimates, which are more comprehensive but usually only available after substantial lags, and provide a more comprehensive picture than individual monthly and quarterly indicators, which are up-to-the-minute but reflect just a portion of the total economy).This course is for actual or potential compilers of short-term indicators in central banks and statistical offices and for those who collect data for monthly indicators. Participants are expected to work with their own monthly and quarterly time series during the course. These indicators will be used in the practical session as the basis for experimental estimates.
Target Audience: Officials responsible for compiling short-term or monthly economic indicators in central banks and statistical offices.
Description: The first session was held on Wednesday, 14 August 2024, from 12:00 to 13:00 hr (UTC+7). The second session will be held on Monday, 2 September 2024, from 12:00 to 13:00 hr (UTC+7).This Stats Café series aims to provide support to participants in the process of completing the questionnaire for the 2025 review of progress in implementing the Regional Action Framework on CRVS in Asia and the Pacific. The objectives of the series are as follows:For ESCAP to share more information on the process and timeline for completing the questionnaire for the 2025 review of progress in implementing the Regional Action Framework on CRVS in Asia and the Pacific, including highlighting some frequently asked questions and answers;For countries that have already completed the questionnaire to share experiences and lessons learned;For participants to ask and/or seek clarification from ESCAP on any questions and required information in the questionnaire;To update participants on preparations for the 2025 Ministerial Conference on CRVS in Asia and the Pacific and call for their support in facilitating optimal engagement from their governments..embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } Event websiteRegistration form
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP UNSD
Description: Identifying and responding to the needs of users for data and statistics is at the heart of the mission of National Statistical Offices (NSOs) and national statistical systems. NSOs already undertake many activities interacting with different users such as preparing press releases to aid journalists and communicate with the public at large and organizing launch events/workshops to disseminate important results from surveys and censuses. In generalthe NSO interacts with users towards the tail end of the statistical production process when the data is disseminated. There is an opportunity for national statistical offices to further improve their collaboration with users by engaging more systematically throughout the statistical production process. User engagement is the process of conducting a dialogue with users of official statistics to understand their needs and improve the productsservices and operation of a statistical organization accordingly.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide. Asynchronous Component — July 1–15, 2024 This component will comprise five modules and will focus on the conceptual issues that will be performed by the participants after each synchronous part. The asynchronous component will be supplemented with assigned readings and references. These modules will be made available to the participants at least five days before the start of the synchronous classes.Participants will be required to take a pre-course quiz. Successful completion (i.e., a passing grade) will not be a pre-requisite for participating in the synchronous component. The results of the quiz will be only used by the instructors to determine the knowledge of the participants. Synchronous Component — August 5–9, 2024 The synchronous component will focus on the practical compilation of issues and topics that may require greater instructor input and feedback. It will comprise lectures, question and answer sessions and practical workshop exercises. The lectures will be developed using existing lecture presentations and the scripts that were prepared for the online course. The lectures will be presented in 30 minutes to 45-minute slots. Each presentation will be followed by a brief exercise or question-answer session. Participants will be invited to present case studies of practical problems or proposed solutions to practical problems. These issues could be related to source data or compilation. Participants will also be invited to respond to some practice questions in discussion forums. This will be followed by a workshop where the responses to these questions will be discussed, along with the correct answers.
Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This presentation scrutinises the transformative potential of Large Language Models (LLMs) in survey research, focusing on three critical areas: questionnaire design, synthetic data creation, and the role of LLMs as qualitative interviewers. In the domain of questionnaire design, the lecture delves into if and how LLMs can construct contextually accurate and highly effective survey items. However, there are valid concerns about the model’s understanding and potential biases, which we will critically evaluate. She also discusses LLMs’ ability to fabricate synthetic data, preserving core statistical properties whilst ensuring privacy. Here too, the ethical implications and the potential for misuse of this capability pose challenges that need to be addressed. Lastly, the lecture explores how LLMs, with their human-like conversational ability, can act as qualitative interviewers, allowing in-depth information gathering at scale. Yet, questions about their ability to fully capture the complexity and subtleties of human interaction and response also remain. The underlying theme of this talk is the question on how research in this space should be structured.
Description: This three-day course, conducted by the Statistics Department familiarizes participants with key climate change related indicators that can be developed to better inform economic and financial policies. The statistics covered include Environmental revenues and expenditures, Natural Resource Accounts, Physical and Transition risk indicators, Air Emission Accounts and indicators of Sustainable Finance. The course consists of a series of lectures giving overview of methods for compiling climate change-related indicators, and insights into the analytical uses of the climate change-related indicators.
Target Audience: Officials from National Statistics Agencies, Ministries of Finance, Planning and Environment, Central Banks, and other agencies, who are responsible for compiling and/or using environment or climate change related indicators.
Description: The 2024 United Nations World Data Forum (UNWDF) presents a unique opportunity to turn dialogue into actionable commitments, accelerating progress towards the Sustainable Development Goals (SDGs). This webinar marks the official launch of the UNWDF Commitments Campaign, inviting stakeholders from all sectors to join the movement and commit to transforming data into impact. The following key topics will be covered: Introduce the UNWDF Commitments Campaign and its goals. Showcase examples of current commitments from diverse sectors. Provide guidance and answer questions on how to submit and promote commitments. Speakers:
Description: About This Session This session was the second in the series, following the first one held on 20 June 2024, to further discuss the review of the groups and communities of practice supporting the Committee’s work. The secretariat circulated the revised version of the consultation paper on 8 July 2024, which incorporated feedback received from the first round of the consultation received in June 2024. The session was chaired by Dr. Koh, Singapore’s Chief Statistician and Rapporteur of the Bureau of the Committee on Statistics. It was a panel discussion, where each panelist “shared their reflections on the proposed new structure, highlighting the potential benefits and any challenges which might still need to be addressed.” Audience ESCAP stats cafe’s main audience is NSOs and statisticians. Open to the public Roles and Speakers .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } , Stats Café Home: Upcoming events Concluded events ESCAP Committee on Statistics: Fit for the future: 1st session 2nd session
Description: In this Global Network Webinar, we welcomed Dr. Haidong Wang and Dr. Bochen Cao from the World Health Organization (WHO). They presented on the topic “World Health Statistics 2024: The World’s Annual Health Check.” The latest edition of the World Health Statistics report revealed that the COVID-19 pandemic reversed the trend of steady gain in life expectancy at birth and healthy life expectancy at birth (HALE). The pandemic wiped out nearly a decade of progress in improving life expectancy within just two years. Between 2019 and 2021, global life expectancy and HALE dropped back to the levels of 2012. COVID-19 rapidly emerged as a leading cause of death, ranking as the third highest cause of mortality globally in 2020 and the second in 2021. Communicable diseases surged back to causing 23.0% of all deaths in 2020 and 28.1% in 2021 – a return to 2005 levels. These effects have been felt unequally across the world. The two speakers provided details on these and other key findings from the report during the webinar.
Description: This one-week workshop will be presented by experts from the International Monetary Fund's Statistics Department and a representative from India's Ministry of Statistics and Programme Implementation. The workshop will be based on the System of National Accounts 2008 (2008 SNA) and the Quarterly National Accounts Manual, 2017. The workshop will cover the following topics: (1) national accounts concepts and methods from the perspective of GSDP; (2) data sources and indicators (annual and quarterly), including use of benchmarking techniques; (3) price and volume measures; and (4) fundamental aspects of state/regional economic accounts. The workshop will feature interactive lectures and hands-on exercises that enable participants to operationalize what they learn.
Target Audience: The workshop is intended for Indian subnational government officials who are integrally involved in the compilation of and dissemination of gross state domestic product statistics (GSDP).
Within this context, the Collaborative on Citizen Data is organizing a one-day workshop on citizen data. The workshop aims to familiarize participants with the Copenhagen Framework on Citizen Data; and facilitate an exchange of experiences and peer-learning on leveraging citizen data for public policy, including challenges faced and lessons learnt on how to overcome the challenges. Some of the topics that will be covered include, but not limited to
Data collection and validation
The use of citizen data for public policy
Quality assurance
Ethical considerations and rights-based approach to data
Collaboration between civil society organization (CSO) and state institutions including national statistical offices (NSO) and trust-building
Statistics Poland and the United Nations Statistics Division (UNSD) are jointly organizing a four-day Technical Workshop on International Migration and Temporary Mobility Statistics in Warsaw, Poland. The event will take place on 16-19 July 2024.
The workshop aims to address the gaps in the availability of reliable and timely migration data, crucial for designing effective operational and policy responses in alignment with the Global Compact for Safe, Orderly and Regular Migration (GCM) and the 2030 Agenda for Sustainable Development. The objectives of the workshop include to: 1) facilitate knowledge exchange, 2) discuss implementation issues and 3) build statistical capacity in the production and use of relevant, high quality and disaggregated statistics on international migration.
Organizer(s): UNSD UNICEF Paris21 European Commission
Description: Co-hosted by the State Department of Economic Planning of Kenya, PARIS21, Directorate General of International Partnerships of the European Commission, the United Nations Statistics Division (UNSD) and the United Nations Children's Fund (UNICEF), this side event focuses on highlighting the indispensable role of National Statistical Offices (NSOs) in strengthening the evidence-base of the Voluntary National Review (VNR) process and the follow-up. The organisers will share best practices from countries and present new analysis and guidance for Governments, who look for ways to boost their capacities for an improved monitoring of Sustainable Development Goals (SDGs) and for a better data governance. Registration
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer the training Advanced STATA for labour market analysis. Harnessing the latest ground-breaking learning technologies, the ITCILO is proudly offering this face to face training in full collaboration with the ILO Department of Statistics. - This course qualifies for the Labour Market Statistics & Analysis Diploma.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Title in Spanish: Taller introductorio a las cuentas ambientales de Cuba
Organizer(s): ECLAC ONEI Cuba AI Generated
Description: En virtud de la cooperación técnica previa entre ONEI y la CEPAL, se solicitó a esta última continuar el apoyo técnico. En octubre de 2023, CEPAL realizó una misión para fortalecer capacidades en estadísticas e indicadores ambientales, promoviendo marcos internacionales y desarrollando cuentas ambientales en Cuba para apoyar los ODS y fortalecer el Sistema Estadístico Nacional.
Source: Eurostat (Data extracted on: 30 Jul 2024 )
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Organizer(s): Eurostat
Description: The event is an opportunity to present the Annual Report on Migration and Asylum which highlights the most significant legislative and policy developments introduced by EMN Member and Observer Countries during 2023. The report provides an overview of key developments and cross-cutting themes in all areas of migration and asylum, set in the context of statistics developed by Eurostat and provided by EMN Observer Countries.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 29 May 2024 )
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Organizer(s): Eurostat ILO
Description: The Statistical Office of the European Union (Eurostat) in partnership with the International Labour Organization (ILO) has the pleasure of organising The Global Conference on Measuring New Forms of Employment in Brussels on 4-5 July 2024. Rapid changes impact labour markets, emphasising the need to advance the measurement of emerging forms of employment. This conference will gather high-profile policy makers and statistical experts from across Europe and around the World, who will provide input in the future development of reliable statistical information on digital and innovative economy in the labour market domain. Throughout the course of the conference, we intend to tackle issues linked to data sources, definitions and measurement. We also intend to explore current experiences in measuring the phenomenon of forms of employment, both at national and international levels, and new or forthcoming international recommendations. The event will bring together labour statisticians, data scientists, researchers, labour force analysts, policy users and stakeholders for this opportunity to have rich exchanges on future labour statistical measurements in a global perspective. Conference highlights: * Speeches from leaders and experts in the field; * Sessions on a wide range of topics; * Expertise and knowledge sharing.
Description: The webinar of the sprint will take a deep dive into Statistics Canada's framework for housing statistics, while also addressing the question of why housing data matters from the point of view of policy makers and other users.
Organizer(s): UN-GGIM: Americas ECLAC AI Generated
Description: The Integrated Geospatial Information Framework (UN-IGIF) was developed in collaboration between the United Nations and the World Bank, with the purpose of providing guidance to countries in developing and strengthening their national and subnational arrangements on geospatial information management and related infrastructure.
Jointly organized by the United Nations Statistics Division (UNSD), the Economic and Social Commission for Western Asia (ESCWA), and the Arab Institute for Training and Research in Statistics (AITRS), this regional workshop will review international recommendations and standards for Statistical Business Registers. The program will facilitate the implementation of the Maturity Model for Statistical Business Registers and address emerging developments, including the global assessment questionnaire, revised industrial classification systems, geospatial information integration, and the global initiative on unique business identifiers.
Description: The objective of International Workshop on Time-Use Statistics is to strengthen national capacity to collect and regularly produce comparable high-quality time-use data in cost-effective ways by adopting innovative data collection methods and latest technologies to inform and monitor public policies, including SDGs. The workshop will include presentations on conceptual and methodological issues, data sources, collection and compilation, country practices, and round-table discussions. The workshop will also be an opportunity to introduce the UN Guide to Producing Statistics on Time Use, endorsed by the UN Statistical Commission at its 55th session in 2024.
The UN Committee of Experts on Environmental-Economic Accounting (UNCEEA) functions as an umbrella body to provide overall vision, coordination, prioritization and direction in the field of environmental-economic accounting. The UNCEEA meets once a year and is governed by the Bureau of the UNCEEA.The Nineteenth Meeting of the UNCEEA will take place virtually on 25-26 June 2024, from 7:30 to 11:00 EDT.
The agenda of this meeting is organized around the main areas of work of the Committee, namely, coordination and communication, methodological development for normative standards and other research, development of databases for the SEEA, and implementation and statistical capacity building. Background documents reviewing progress and outlining key questions for discussion will be circulated in advance of the meeting to facilitate the discussion and will be made available online on this webpage.
Members of the Committee are encouraged to send written feedback on the questions prior to the meeting, preferably by 24 May 2024, to seea@un.org.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing.
Description: UNSD, under the Data For Now initiative, organized a high-level seminar and technical workshop to discuss the potential of mobile network operator (MNO) data to gain insights into internal migration to deliver information needed by decision makers.
The Tunisian Institut National de la Statistique (INS), recognizing the strategic nature of timely estimations of internal migration for many development domains such as demographic projections, resource allocation and social equity, has identified the area of internal migration as one of the priorities in line with their national development plans within the Data For Now initiative.
The event brought together, for the first time, representatives from all the three Tunisian telecommunication companies, the telecommunication regulator, the data protection authority and other relevant national stakeholders in a joint conversation on the feasibility of accessing and using mobile positioning data for statistical production. While the high-level seminar presented the potential of the mobile phone data in light of international benchmarks and local stakeholder feedback, the workshop was focused on technical aspects of the use of MNO data for statistical purposes, including statistical needs, data requirements, data processing modalities, data privacy, ethical use of data, and quality criteria.
At the end of the workshop, the participants jointly developed a roadmap which defines next steps for project planning for access to migration data outputs based on MNO data, with commitment and support from national stakeholders to ensure the privacy and confidentiality.
Before and after the events, several meetings and online events took place, including a preparatory webinar on the use of MNO data for statistics for the MNOs facilitated by UNSD.
Description: In this insightful Global Network Webinar on the vital nexus between official statistics and democracy, Luca Di Gennaro Splendore from the University of Malta shared his research, showcasing a quantitative relationship between a country's level of democracy and the performance of its national statistical system. Key points of the presentation included: * Official statistics are the lifeblood of democracy, influencing policymaking, media narratives, and electoral choices. * There is a striking correlation between the Democracy Index and Statistical Performance Indicators across countries, regions, and continents. * The most democratic countries tend to have the best-performing national statistical offices. * The independence of national statistical offices is crucial, akin to the freedom of speech and justice system. * Statisticians and data users have a vital role to play in defending the independence and integrity of national statistical systems, especially in the face of democratic backsliding. The discussions during the Q&A session covered issues like data quality, causality, and the role of statistical systems in both thriving and deteriorating democracies. This event underscored the importance of official statistics as constitutional guardians of democracy.
Description: The meeting aimed to engage countries in detailed discussions on the presentations and topics covered during the initial kickoff workshop held in Barbados on 21-22 May 2024. It was meant to ensure all participants have the opportunity to contribute and clarify outstanding points, discuss and refine the selection of priority sectors for analysis and pilot testing, review and confirm focal points for each country, address any remaining questions from the workshop, and plan next steps, including the installation of TiSSTAT, piloting activities, and scheduling the next regional events. The objective was to foster collaboration among countries, ensuring the project aligns with their development goals and priorities.
Description: About This Session During its 8th session, the ESCAP Committee on Statistics decided “That its Bureau shall, with the support of the secretariat, conduct a review of the groups and communities of practice supporting the Committee’s work and propose recommendations to that end for consideration by the Committee to streamline, consolidate and improve those groups and communities to ensure that they continue to be fit for purpose. This could include moving towards less formal collaboration mechanisms, as appropriate, that may be better suited to the complex world in which national statistical offices now operate, while bearing in mind the lead role played by such offices. Particular attention should be paid to arrangements and mechanisms to support statistical offices in their efforts to meet the growing demand for climate change-related statistics and to navigate complex data governance choices.” As part of the review process, a consultation paper was sent to all member States for their feedback. The paper outlined the proposed new structure for groups and communities, which would replace the existing structure. There will be two rounds of consultation on the review and each one will be accompanied by an ESCAP Stats Cafés, where the proposals will be presented and there will be an opportunity for participants to share their feedback and to ask questions. .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } , Stats Café Home: Upcoming events Concluded events ESCAP Committee on Statistics: Fit for the future: 1st session 2nd session
Source: Eurostat (Data extracted on: 30 Jul 2024 )
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Organizer(s): Eurostat
Description: Discover the “Sustainable Development Goals (SDGs) - monitoring report – 2024 edition” that was published on 18 June and be among the first to learn about the European Union`s progress towards the Sustainable Development Goals. In this webinar, you will also get an insight into past, present and future perspectives of the global SDG monitoring by the United Nations. The 17 SDGs, which are at the heart of the UN's 2030 Agenda for Sustainable Development, provide a comprehensive policy framework worldwide towards ending all forms of poverty, fighting inequalities, protecting the environment and tackling climate change, while ensuring that no one is left behind.
Description: Unit nonresponse in surveys, which occurs when selected units cannot be reached or refuse to participate, is a common issue when conducting surveys. One option to address these non-responses is through weighting techniques in post-data collection adjustments, which existing survey statistics literature has primarily focused on. However, substitution presents an alternative approach during data collection itself. While substitution is commonly used already, ongoing concerns exist about its impact on nonresponse bias. Still, under certain conditions, substitution can mitigate bias while preserving essential aspects of sample designs typically disrupted by nonresponse. Despite its practical application, theoretical research on substitution remains limited, especially in the context of longitudinal surveys using face-to-face interviews as a sample frame. This webinar will offer preliminary results of a study evaluating the use of matching substitution in longitudinal surveys, drawing data from the MICS and MICS Plus conducted in Georgia and Nigeria. Specifically, it will examine the “matching substitution” approach (Zanutto, 1998; Rubin and Zanutto, 2002; Nishimura, 2015), used by MICS Plus, which deterministically selects a substitute that most resembles the nonrespondent with respect to auxiliary variables observed across all units in the population.
Description: The region faces droughts and floods, affecting food security and the economy. Environmental statistics in Latin America and the Caribbean require inter-institutional collaboration. They are crucial for the 2030 Agenda, but insufficient. This seminar seeks to improve the resilience of statistical systems with innovative data and modern technologies, reviewing advances and challenges in climate change statistics.
Description: The objective of this virtual seminar is to provide Member States and interested parties with the conceptual foundations related to the five principles of the United Nations Global Statistical and Geospatial Framework, to enhance the use of integrated statistical and geospatial information.
Description: This course, presented by Statistics Department, is based on the conceptual framework of the 2008 System of National Accounts (2008 SNA). It covers advanced methodological and practical issues related to the compilation of the sequence of accounts of the SNA (current and capital accounts, financial accounts, other changes in volume of assets accounts, revaluation accounts, and balance sheets) by institutional sectors. The course also examines the linkages between institutional sectors as a basis for establishing from-whom-to-whom accounts. The aim of the course is to provide participants with the necessary skills to compile—or further enhance—their country’s institutional sector accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues, workshops sessions on practical compilation issues, discussions on emerging financial issues such as fintech and crypto assets. It reviews case studies involving new applications of ISA such as household distributions to examine income, consumption and wealth accumulation by various cohorts and intergenerational transfers and pensions. The myriad ways in which the ISA supports economic policy is also examined. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral institutional sector accounts and balance sheets, examine potential data sources for the compilation of annual and quarterly ISA, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral institutional accounts and balance sheets.
Target Audience: Officials whose main responsibility is compiling national accounts, including financial accounts statistics and balance of payments statistics (specifically responsible for the sectoral accounts, household distribution accounts and accounts on a from-whom-to-whom basis), who are employed by national statistical agencies and central banks.
Description: This course, presented by the Statistics Department, introduces the conceptual frameworks and practical aspects to build prerequisite knowledge for the compilation of government finance and public sector debt statistics that are useful for policy- and decision-makers, as well as other users. The course material is based on the Government Finance Statistical Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011) - which both are harmonized with other macroeconomic statistical frameworks. The course covers fundamental principles, definitions, and classifications, accounting rules (including accrual accounting and consolidation), balance sheets and public sector debt instruments, and the sources and methods relevant to the compilation of fiscal and debt statistics. It also deals with the data dissemination and highlight its importance in fiscal analysis and debt sustainability analyses (DSA). Additionally, it covers the data dissemination and highlight its importance in debt sustainability analyses (DSA) and fiscal analysis. Case studies, online self-paced blended learning, in-person lectures, and peer-to-peer learning are incorporated into the curriculum to familiarize participants with the practical aspects of compiling government finance and public sector debt statistics. As eligibility requirements, selected applicants are required to complete self-paced online tutorials and prepare short presentation on chosen topics relating to the compilation of government finance and public debt statistics in their respective countries.
Target Audience: Officials at ministries of finance, central banks and other agencies in charge of compiling government finance statistics and public debt statistics.
Description: The demand for analysing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment, employment, and decent work indicators. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. In line with the 2030 Agenda for Sustainable Development, governments have committed to policy action concerning decent employment creation and inclusive economic growth, with references to the demand-side, supply-side, and labour market policies. Hence, the need for good labour market governance and institutions able to collect, store, analyse, disseminate, and monitor labour market information has become paramount for evidence-based policy-making. A Labour Market Information System (LMIS) is "a network of institutions, persons and information that have mutually recognized roles, agreements, and functions with respect to the production, storage, dissemination, and use of labour market-related information and results in order to maximise the potential for relevant and applicable policy and programme formulation and implementation." The LMIS serves as a tool to aid decision-making in the area of labour market policy, and helps policy makers make informed policy decisions. Overall, an efficient LMIS will enhance the scope of evidence-based policy-making and facilitate the measurement of progress towards the achievement of the policy objectives set out in national employment strategies in line with the 2030 Agenda for Sustainable Development. Recognizing the rising demand of countries to better understand the functioning of Labour Market Information Systems (LMIS) doubled by the rising demand for measuring the impact of policies and programmes on labour market outcomes, the International Training Centre of the ILO in Turin (ITCILO) in close collaboration with the ILO Department of Statistics are proud to offer the course "Labour Market Information Systems (LMIS)".
Target Audience: National Statistical Offices (NSOs); Ministries of Labour and related Institutions (such as labour observatories); Governmental agencies in charge of labour market data analysis and SDG national reporting; ILO Social Partners (Employers' and workers' organizations), Research and academic institutions; International organizations; Development agencies; in addition to Non-governmental organizations.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP SPC
Description: Climate change is one of the most pressing issues in the Pacific region. Many countries are already experiencing intensifying threats such as rising sea levelsincreasing ocean acidificationand escalating extreme weather eventsprofoundly impacting the region's economysocietyand environment. There is a need to address the well-being of people through good evidence-based policy. Reliable statistics and indicators on the impact of climate change are vital to enable evidence-based policydecision-makingplanning and investment. Importantlythese statistics and indicators must be able to speak to the range of economicsocial and environmental impacts of climate change in a timely manner. This workshop aims to support capacity building and knowledge sharing across this topic in the region.
Source: Eurostat (Data extracted on: 23 Apr 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with information on theory (methodological framework) and practical challenges in the context of the compilation of Physical Environmental Accounts (Eurostat questionnaires).
Target Audience: * Statisticians involved in compiling data on economy-wide material flow accounts (EW-MFA), air emission accounts (AEA) or physical energy flow accounts (PEFA) under Regulation (EU) 691/2011. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above.
Description: Background and purpose National statistical and civil registration and vital statistics systems in Asia and the Pacific are facing ever-increasing demand for statistical products that are timely, frequent, granular, and accurate. To be able to continuously respond to this demand effectively and efficiently, they need to transform into systems that are agile by taking advantage that opportunities such as new data sources, new methods, new technologies, pathways to business process improvement, and change management provide. The United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) supports statistics development of its members and associate members, especially those that are least developed, landlocked, small islands developing States, and in or emerging from conflict. Over recent years, a broad range of work has been undertaken to strengthen national statistical and civil registration and vital statistics systems, including through system reviews and efforts to improve business processes. The workshop will showcase the results of this work, while discussing options for the further strengthening of national statistical and civil registration and vital statistics systems, including under the Power of Data initiative.1 In this context, the workshop will also serve as a forum for initial discussions on the high-level theme topic Agile Statistical Systems Fit for the Future of the 9th session of the ESCAP Committee on Statist advantage that opportunities such as new data sources, new methods, new technologies, pathways to business process improvement, and change management provide. Concept note
Description: Travelling can be a major challenge for the 16% of the world´s population who experience significant disability. Around 1.3 billion people face major physical, sensory, cognitive and cultural barriers on a daily basis. Accessibility is a human right, but also a business opportunity for the tourism destinations and the entire business ecosystem of the travel value chain. Travellers with specific access requirements and seniors struggle to find clear, accurate and trustworthy information on the accessibility of the tourism facilities, services and experiences, offered by destinations and service providers. Accessible tourism enables destinations and companies to tap into this expanding market, engage with diverse customer groups and host communities. Destinations can adopt methodologies to size up the market, introduce monitoring and evaluation indicators and encourage feedback systems meant to improve the overall service quality. The ISO Standard 21902:2021, the San Marino Action Agenda for the Future of Accessible Tourism 2030 and the recently adopted MST, serve as catalysts for the disability inclusion and tourism’s contribution to the Sustainable Development Goals. They encompass strategies to advance in training, undertake specific access improvements in different environments, develop measurement systems and increase awareness in the industry of the benefits of accessible tourism for all. Measuring and monitoring accessibility, at a global level, is gradually progressing. This is important as for decision- making on future developments and investments in the sphere of accessible tourism, specific qualitative and quantitative data is needed. Such will not only help to better understand the actual needs and behavioural patterns of the travellers with specific access requirements. This data will also make the business case of Tourism for All more evident for the private sector and public investments. Accessibility is one of the eleven key issue area that INSTO members are committed to monitor at the destination level. This INSTO webinar will discuss latest concepts and specific developments in the sphere of measuring accessibility. It will feature solutions and lessons learned by selected experts and Members of the UN Tourism International Network of Sustainable Tourism Observatories (INSTO) in the field of measuring and monitoring accessibility, at the destination level.
Description: Asia-Pacific Stats Café Series: Launch of the Questionnaire for the 2024 Review of the Asia and Pacific CRVS Decade (2015-2024) was held 13 June 2024, from 10:00 to 11:00 hrs. (UTC+7).Concept noteFlyerPresentationsLead with Purpose: Reflections on measurement and monitoring of CRVS systems (Vital Strategies)Rationale, timeline, process and support for completing the 2024 review questionnaire (ESCAP).embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; }
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The content produced by a statistical organisation is essentially facts and figures. This course will explain how you can translate it to a more understandable and simple way and reach everybody outside the statistical world. Writing in a clear, concise and simple manner while avoiding statistical jargon.
Target Audience: Staff drafting /writing statistical texts and articles for publications, the web or any other type of product. Staff working in the communication/dissemination/press departments with the role of promoting the widest possible dissemination and use of official statistics.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: To improve the theoretical and practical knowledge related to the collection, transmission, validation and aggregation of official water statistics. The main focus will be on different data sources and the complementarities of different direct and indirect methods such as measurements, surveys, models and estimations. The description of the respective strengths and weaknesses with special attention to data quality should thus result in an enhancement of the comparability between water statistics from countries using different methods. The courses shall also provide a platform and starting point for cooperation in method development among the countries. The aim of the courses is to explore possible ways of avoiding inconsistencies in the European water statistics and to obtain a more effective statistics production.
Target Audience: Staff involved in the production of official water statistics and other quantitative information under Union law on water.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide participants with a basic knowledge of the seasonal adjustment methods and tools included in JDEMETRA+; * To understand the basic principles of the ESS seasonal adjustment guidelines and to be able to apply them using JDEMETRA+, including for mass production; * To motivate the participants to acquire and advanced knowledge in the various seasonal adjustment methods and in other time series algorithms.
Target Audience: Junior users of seasonal adjustment methods involved in regular/massive data production wishing to enhance their knowledge of the methods and to use the JDEMETRA+ tool in an efficient way. People currently using TRAMO/SEATS and/or X13 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version.
Title in Arabic: منهجية علم البيانات في الاحصاء الرسمي
Organizer(s): ESCWA AITRS
Description: تُعدّ البيانات عنصرًا هامًا لاتخاذ القرارات ورسم السياسات السليمة ويلعب علم البيانات دورًا رئيسيًا في تحليل هذه البيانات واستخلاص المعلومات منها، بينما يُساهم الإحصاء الرسمي في ضمان جودة البيانات وسلامتها. وتهدف هذه الدورة التدريبية عن بعد إلى تعريف المشاركين بمفاهيم منهجية علم البيانات في الإحصاء الرسمي، وتزويدهم بالمهارات اللازمة لتطبيقها في مختلف مجالات العمل الاحصائي. تأتي هذه الورشة في سياق الاهتمام الإقليمي والدولي بتطوير القدرات الإحصائية وذلك من خلال المقترح الذي أيدته لجنة الإحصاءات التابعة للأمم المتحدة المعد من اللجنة الاستشارية للخبراء عن البيانات الضخمة وعلوم البيانات للإحصاءات الرسمية لإدماج البيانات الضخمة وعلوم البيانات في العمل اليومي لمكاتب الإحصاء الوطنية، وإنشاء شبكة من قادة علوم البيانات في هذه المكاتب. بالإضافة إلى ذلك، تأتي هذه الورشة بعد ورشة عمل إقليمية ناجحة حول موضوع البيانات الضخمة في الإحصاء الرسمي، التي نظمتها الاسكوا بالتعاون مع المعهد العربي للتدريب والبحوث الاحصائية. تهدف الورشة بالأساس الى تعزيز قدرات المشاركين في مجال الإحصاء الرسمي باستخدام أساليب علم البيانات وذلك من خلال: * تعريف المشاركين بمفاهيم أساسية في علم البيانات والإحصاء الرسمي. * شرح منهجية علم البيانات في الإحصاء الرسمي. * إكساب المشاركين مهارات تحليل البيانات واستخلاص المعلومات منها. * تمكين المشاركين من تطبيق مهارات علم البيانات في الإحصاء الرسمي من خلال حالات احصائية عملية.
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer this online training on using STATA for labour market analysis. Harnessing the latest ground-breaking distance learning technologies, the ITCILO is proudly offering this course online in full collaboration with the ILO Department of Statistics. - This course qualifies for the Labour Market Statistics & Analysis Diploma.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Organizer(s): UNSD Basque Centre for Climate Change INE Spain Gobierno Vasco Spain Ministry of External Affairs, EU and Cooperation Spain Instituto Vasco de Estadística Spain Excelencia María de Maeztu Spain
Description: As the world grapples with numerous global challenges, including environmental issues, climate change, health crises, food insecurity, economic recovery, and human displacement, the need for knowledge integration has never been more critical. Amid a data landscape with fast-increasing volumes of data, information remains compartmentalised to pre-defined scales and fields, rarely building its way up to collective knowledge. The statistical community, the data science community, the geospatial community and the modelling community are tasked with delivering this integrated knowledge, to shed light on the ongoing “wicked problems”—intertwined, multistakeholder and with potential solutions dependent on subjective, competing interests. The purpose of the conference is to address and share knowledge on these emerging issues that require the timely and flexible production of integrated scientific, statistical and geospatial information. This involves collaboration with strategic partners from the public and private sectors, as well as from academic and research institutes, and needs a paradigm shift that will favour open synthesis to contribute and reuse knowledge and apply it toward decision making. The conference will consist of a ministerial opening, high-level panels, technical sessions as well as a several workshops. The overall theme of the conference is “Informing Climate Change and Sustainable Development policies with integrated data”.
Title in Arabic: المنهجيات الدولية في اعداد ونشر البيانات الوصفية
Organizer(s): AITRS
Description: تسعى الاجهزة الاحصائية لتوفير بيانات إحصائية تتمتع بجودة عالية وتلائم احتياجات المستخدمين في كافة المجالات الاقتصادية والاجتماعية بحيث تساعد في إعداد برامج وخطط التنمية المحلية وتسهم في توفير البيانات الضرورية من خلال اعتماد واتباع المعايير الدولية في مجال إعداد وتحليل ونشر البيانات الاحصائية الاحصائية ً مع مبدأ الشفافية وتلبية احتياجات المستخدمين. لذلك على الاجهزة الاحصائية نشر بيانات وصفية عن الاحصاءات التي ينتجها وينشرها بما يتوافق والمعايير الدولية في هذا المجال والمبادئ الأساسية للإحصاءات الرسمية الصادر عن الامم المتحدة والتي لها ارتباط بالبيانات. تندرج هذه الورشة في إطار تنفيذ البرنامج السنوي للمعهد العربي للتدريب والبحوث الإحصائية لعام 2024 من اجل دعم قدرات الأجهزة الإحصائية العربية في مجال توثيق المفاهيم والتعاريف والمصطلحات والتصانيف والمنهجيات المستخدمة في جمع البيانات وذلك للرجوع اليها عند الحاجة والاستئناس بها، بالإضافة الى احترام مقتضيات المبادئ الأساسية للإحصاءات الرسمية في الخصوص وخاصة المبدأ المتعلق بالشفافية. تتمثل الأهداف الرئيسية للورشة في تمكين المشاركين من فهم البيانات الوصفية واهميتها للمستخدمين للبيانات سواء كانوا من داخل الاجهزة الاحصائية او خارجها وذلك من أجل: * توثيق المفاهيم والتعاريف والمصطلحات والتصانيف والمنهجيات المستخدمة في جمع البيانات * وصف الجوانب الرئيسية لنوعية البيانات * المساهمة في تعزيز الشفافية وزيادة عدد المستخدمين للإحصاءات الرسمية * تأكيد جودة البيانات الاحصائية * اثراء العمل وتوفير الموارد وسهولة الرجوع للبيانات والتعاريف وإعادة استخدامها.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). Both a brief, overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered. Introductions to each of the 3 main accounts, Environmental Taxes, EGSS, EPEA, plus some relevant extensions such as environmental subsidies and related transfers and ReMEA (resource management expenditure accounts) will be in focus. The course will make emphasis in putting together the practical difficulties that participants have in their offices to produce the monetary environmental accounts and discussing solutions and best practices.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Statistics Norway
Description: To provide the participants with a basic understanding of how to produce statistics with the use of geocoded statistical registers and map databases. Emphasis is on the use of Vector data and Vector tools, but we will also touch into the use of Raster tools and Raster data. We will be using the Open Source GIS-tool QGIS.
Target Audience: The course is introductory, for persons with none to some practical experience in GIS/ GI/ cartography, wanting to learn the basics in using GIS for statistics production and analysis.
Source: Eurostat (Data extracted on: 29 May 2024 )
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Organizer(s): Eurostat INE Portugal
Description: Statistics Portugal and Eurostat are pleased to invite you to the 11th European Conference on Quality in Official Statistics (Q2024) in Estoril (the Greater Lisbon region) from 4 to 7 June 2024. Following a longstanding quality-driven tradition in the European statistical community, this conference will gather statisticians, academics, and external stakeholders to foster the dissemination of knowledge and research on emerging issues related to quality in official statistics. By bringing diverse stakeholders together, Q2024 aims to enhance and improve cooperation between official statistics and the scientific community — in which students play a significant role — and to promote closer dialogue between users and producers. Q2024 will focus on the role of official statistics as a pillar of democracy and on some of the most challenging issues currently faced by the official statistics community. The conference topics aim to be broad enough to cover the diversity of challenges faced by the statistical community while also addressing the most relevant dimensions within the field of quality. Q2024 will explore how institutional frameworks and the role of innovation and research impact on quality in official statistics, and it will also focus on the power of data and NSIs’ capabilities to harness opportunities in a challenging environment. Bearing in mind the importance of capacity-building in previous editions of the conference, a variety of engaging and informative one-day training courses will be held on 4 June 2024. These courses will be organised around four main pillars: quality management, innovation/data science/AI, dissemination/communication, and the integration of administrative and privately-held data.
Description: The webinar will provide an introduction to developing a data strategy, including the contextual user need impetus for this work. The sessions will explore theoretical links between user needs, data governance, and data stewardship and will illustrate how to put theory into practice, by establishing solid data governance. The webinar will also delve into how data, throughout the various life cycle processes, can be better managed and leveraged when a solid data strategy is in place. Register for the webinar here: Registration
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP SPC
Description: Climate change is one of the most pressing issues in the Pacific region. Many countries are already experiencing intensifying threats such as rising sea levelsincreasing ocean acidificationand escalating extreme weather eventsprofoundly impacting the region's economysocietyand environment. There is a need to address the well-being of people through good evidence-based policy. Reliable statistics and indicators on the impact of climate change are vital to enable evidence-based policydecision-makingplanning and investment. Importantlythese statistics and indicators must be able to speak to the range of economicsocial and environmental impacts of climate change in a timely manner. This workshop aims to support capacity building and knowledge sharing across this topic in the region.
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). The course will cover basic concepts, definitions, and classifications, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the EDS. Finally, participants will be briefed on basic concepts of the debt sustainability analysis framework.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts—specifically compilation of external debt statistics (EDS) and/or international investment position (IIP) statistics. It is a basic-level course laying the foundation for the face-to-face EDS course. It is open to those who compile, or plan to compile, EDS/IIP and to the general public.
Description: This course, presented by the Statistics Department, teaches you how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs). The course presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.
Target Audience: This introductory online course is designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts and High-Frequency Indicators of Economic Activity, according to the recommendations of the System of National Accounts, and using them to better understand the role of high-frequency data in analyzing current economic developments.
Description: This Joint Webinar of the Intersecretariat Working Group on Household Surveys (ISWGHS) and of the Global Network of Data Officers and Statisticians, which was attended by around 210 participants, featured Stephanie Eckman from the Social Data Science Center of the University of Maryland. She discussed how insights from survey methodology can help improve the quality of training and feedback data used for machine learning models like large language models (LLMs) which can improve model performance. Stephanie highlighted two key areas where survey methodology principles are relevant: 1) Representation - ensuring the labelers who train the models are representative of the target population, and 2) Measurement - ensuring the labeling instruments and procedures yield high-quality labels. On representation, she showed how characteristics of the labelers can impact the labels and resulting models, creating selection biases. If many labelers are from specific countries/regions then this can introduce demographic biases. One possible solution to adjust for this is using statistical weights for the different groups of labelers. On measurement, she described how aspects of the labeling interface like question wording, order, and format can significantly impact the quality of labels, which then impacts the trained model performance. Through an experiment, she demonstrated the importance of carefully designing labeling instruments akin to survey design principles. The Q&A covered topics like using sentiment analysis instead of binary labels, accounting for survey fatigue, leveraging existing survey data for model training, and concerns around cultural biases embedded in LLMs trained primarily on data from western, rich countries. Overall, Stephanie made a strong case for interdisciplinary collaboration between the survey research and AI/ML communities to improve training data quality and develop more accurate, unbiased AI models aligned with human values.
Description: The digital economy heavily relies on ICT for information management, enhancing productivity supported by ICT goods, services, and trade. This economy is characterized by core technologies (e.g., semiconductors, computers), enabling infrastructures (e.g., the Internet), and digitalized sectors like finance and media. Despite widespread digitalization, traditional economic metrics often overlook digital aspects. The Digital Supply-Use Tables (SUTs) framework addresses this by incorporating digital products and actors into national statistics. The 5th International Seminar aims to equip staff from developing countries' NSOs with skills to produce high-quality digital economy statistics, supporting informed policymaking and sustainable development.
Description: Geospatial information provides key insights, and policymakers leverage it to make evidence-based decisions. Geospatial information reflects the digital version of our physical world, in which all human, economic and environmental activity and events take place. Geospatial data is a vital component of the overall information and management systems related to the Earth and human activities, enabling us to not only map the current situation on Earth, but also the modelling of nature's processes. By understanding natural and built environments, stakeholders tackle complex challenges and bolster resilience, sustainability, and societal equity. Our changing climate is increasing the fragility of the most vulnerable countries, making adaptation and mitigation even more challenging, leaving those that are already the furthest behind in terms of development further behind still. Although strengthening climate resilience is essential for all countries, it is especially crucial for SIDS, hampered by their unique vulnerability to exogenous shocks because of their small size, geographical remoteness, and the limited scale and undiversified nature of their economies. The primary objective of the side event is to build awareness and explore innovative applications of geospatial information for climate resilience, showcase the UN-GGIM discussion paper Applying Geospatial Information to Climate Challenges, and shares national examples of the use of geospatial information for climate resilience. In particular, participants at the side event will be informed of the following: High-level statements and perspectives on the importance of geospatial information for climate resilience by global leaders from Member States. How Member States are leveraging geospatial information for climate resilience Highlighting national good practices of integrated geospatial information management in SIDS
Description: For several decades, area-level models have played a critical role in the theory and practice of small area estimation. For an area-level model, we propose a random effects variance estimator that simultaneously (i) improves on the estimation of the related shrinkage factors, (ii) protects empirical best linear unbiased predictors (EBLUP) of the random effects from the common over-shrinkage problem, (iii) avoids complex bias correction in generating strictly positive second-order unbiased mean square error (MSE) estimator either by the Taylor series or single parametric bootstrap method. The idea of achieving multiple desirable properties in an EBLUP method through a suitably devised random effects variance estimator is the first of its kind and holds promise in providing good inferences for random effects under the EBLUP framework. The proposed methodology is also evaluated using a Monte Carlo simulation study and real data analysis. This is a joint work with Prof. Partha Lahiri at the University of Maryland, College Park.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Illustrate “standardisation” activities within the European Statistical System and, more in general, within the statistical community. * Explain how to define a standardization strategy to improve the statistical business processes * Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI) * Introduce open data (DCAT) and spatial (INSPIRE) standards * Highlight the relationships between conceptual and implementation standards * Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to metadata management, data dissemination and data reporting
Target Audience: Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge
Description: The theme "Charting the Course Toward Resilient Prosperity" highlights with "charting" the necessity for better planning and managing resources, where geospatial information and mapping technologies can play a critical role, towards addressing national priorities and sustainable development. Geospatial information now underpins everything we do and is essential for sustainable development across countries, including Small Island Developing States (SIDS). Considering the challenges that face SIDS due to their geographical remoteness and vulnerability to weather-related disasters, geospatial information and technologies can provide data, knowledge, shared understanding and innovative solutions for "charting" the course towards sustainable development and resilient prosperity The use of timely and reliable geospatial information and enabling technologies are critical to address national priorities, for national development and for decision-making. The availability of geospatial data integrated with other data that is relevant to our lives and livelihoods are key to providing better information and shared understanding of what happens where, and in turn address challenges and priorities such as those that may relate to climate, biodiversity, resilience, sustainability and economic opportunities, to name some. The development, strengthening, integration and delivery of national geospatial information policy, data, systems, tools, services and capabilities is critical for the development of national policies, strategies and arrangements and to enable the implementation of national development priorities and the SDGs. The primary objective of the side event on Geospatial Technologies for Sustainable Development of SIDS aims to explore data, platforms, frameworks and experiences for the benefits of countries including SIDS and how geospatial information and technologies contribute to addressing national development priorities and sustainable development toward resilient prosperity. The side event will also provide opportunity for participants to discuss how global cooperation can foster innovation with geospatial technologies to enrich data resources and strengthen capacity.
Source: Eurostat (Data extracted on: 23 Apr 2024 )
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Organizer(s): Eurostat
Description: The aim of the course is: * To improve the capacity of national statistical services to produce high quality ESA 2010 national accounts; * To achieve an understanding of the theoretical basis and structure of ESA 2010 national accounts, together with sources and methodology; * To provide a general overview and an understanding of the links of the different areas of the system of NA.
Organizer(s): UNCTAD CARICOM OECS ECLAC AI Generated
Description: Services-led diversification is critical to economic resilience and structural transformation in the CARICOM region. Services trade has been growing in the region, and many countries rely strongly on service exports.The session will provide a forum to identify opportunities and challenges in harnessing the potential of trade in services.It will consider how to strengthen the evidence base and effectiveness of policy action to strengthen the economic resilience of CARICOM countries.It will provide an opportunity for countries to share practices and identify areas for greater efforts jointly with trading partner countries and the international community.ProgrammeModerator:Jan Yves Rémy, Director, Shridath Ramphal Centre, University of West IndiesSpeakers: * Rebeca Grynspan, Secretary-General, UNCTAD * Chad Blackman, Minister of Economic Affairs and Investment, Barbados * Chantal Ononaiwu, Director, External Trade, Caribbean Community (CARICOM) Secretariat * Ricardo James, Head, Trade Policy Unit, Organization of Eastern Caribbean States (OECS) Commission * Sheldon Mc Lean, Coordinator, Economic Development Unit, Subregional Headquarters for the Caribbean, United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC)
Description: Date Location 21 May 2024 The International Statistical Literacy Project (ISLP) is happy to initiate the International Day of Statistical Literacy, which will from now on be celebrated annually. To inaugurate this new thematic day, you are most warmly welcome to the International Statistical Literacy Project's first-ever, one-day online conference. The day is full of interesting presentations, panel discussions, and networking opportunities, as well as a pre-conference workshop.
Source: Eurostat (Data extracted on: 29 May 2024 )
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Organizer(s): Eurostat
Description: Can Eurostat data affect our daily life? What makes Eurostat statistics reliable? In a world that is faced with complex issues and is therefore difficult to understand, statistics provided by Eurostat support the work of journalists, decision-makers, and fact-checkers all over the EU and beyond. Available to everyone and free-of-charge, Eurostat data can also help EU citizens make evidence-based decisions, better understand the trends in many of Europe’s sectors. In this webinar, you will get to know more about how Eurostat works to provide high-quality statistics and learn how to find the information you are looking for on Eurostat’s website.
Organizer(s): UNCTAD CARICOM OECS ECLAC AI Generated
Description: The kick-off workshop will launch the Development Account project: "Strengthening capacity for evidence-based policymaking and the economic resilience of CARICOM".This exclusive workshop focuses on advancing the capacity and data infrastructure of selected CARICO Member States to enhance evidence-based policymaking for resilience and transformational change in services.Trade in services is pivotal for economic development, particularly amidst challenges such as the COVID-19 pandemic and climate disasters. Our objectives include highlighting the significance of services for economic diversification, sharing best practices in compiling trade statistics, identifying priority sectors and data gaps, and discussing the project's workplan.This invitation-only event will gather experts from beneficiary countries, including statistical and policy experts and representatives from CARICOM, UN Barbados, OECS, ACS, and their members.By invitation only, this activity is limited to a specific number of participants.
Title in Arabic: استخدام برنامج نظم المعلومات الجغرافية "QGIS"
Organizer(s): AITRS
Description: تعتبر نظم المعلومات الجغرافية وسيلة مميزة في جمع وتحليل مختلف البيانات وربطها بالبعد المكاني في أوقات مختلفة وقدرتها على المساعدة على تشخيص ونمذجة مختلف الظواهر الاقتصادية والاجتماعية والبيئية. كما تساعد بشكل كبير في فهم العلاقة بين البيانات الإحصائية والبعدين المكاني والزماني. وتنفيذا للبرنامج السنوي للتدريب لعام 2024، سينظم المعهد العربي للتدريب والبحوث الإحصائية ورشة تدريبية متقدمة عن بعد حول استخدام برنامج نظم المعلومات الجغرافية "QGIS" خلال الفترة 20 – 23 مايو/أيار 2024، لفائدة إطارات الأجهزة الإحصائية العربية من أجل دعم مكتسباتهم ومهاراتهم في تحليل البيانات المكانية والاستغلال الأمثل لبرنامج نظم المعلومات الجغرافية "QGIS" في الاحصائيات الرسمية. تهدف الورشة بصورة أساسية إلى: * اكتساب المهارة في أتمتة سير عمل نظم المعلومات الجغرافية "GIS workflow". * حسن كفاءة استخدام برنامج "QGIS". * إيجاد حلول للمسائل المعقدة للتحليل المكاني. * ربط أهداف التنمية المستدامة بنظم المعلومات الجغرافية.
Description: This webinar is part of the SEEA Webinar series “Uses of the SEEA for Policy, developed with the aim to highlight various priority and/or emerging policy areas that can be informed by the System of Environmental-Economic Accounting (SEEA). This webinar will provide an opportunity for participants to learn about recent country experiences in compiling the SEEA Ecosystem Accounting, the statistical framework underlying headline indicators A.2 Extent of natural ecosystems and B.1 Services provided by ecosystems. The webinar will look at these experiences from a technical and practical standpoint, with an eye towards how the accounts can feed into countries’ monitoring and reporting efforts for the Global Biodiversity Framework. The objectives of this webinar are: To share experiences in the compilation of the SEEA Ecosystem Accounting, with focus on data sources, institutional environment, resources and methods used. To gain an insight into the lessons learned and practical steps that countries have taken in the compilation of SEEA Ecosystem Accounting; and To understand how the ecosystem accounts can be used for national monitoring and reporting under the Global Biodiversity Framework.
Description: In accordance with Article VI-1 of the FAO Constitution, the FAO Regional Office for Asia and the Pacific (RAP) organized the Thirtieth session of the Asia and Pacific Commission on Agricultural Statistics (APCAS30), convened along with its side events in Kathmandu, Nepal during 19-24 May 2024 at the kind invitation of the Government of Nepal.
Description: Mexico's National Institute of Statistics and Geography (INEGI), the International Association of Official Statistics (IAOS) and the International Statistical Institute (ISI) welcome you to the website for the 19th IAOS Conference and the 5th ISI Regional Statistics Conference which will be held jointly as the IAOS-ISI 2024 Mexico Conference. Join us in Mexico City from 15 - 17 May 2024 to discuss the future of statistics. The Conference theme, "Improving Decision-Making for All", points to official statistics' role as a valuable public good all kinds of users rely on to inform their decisions. The IAOS-ISI 2024 Mexico Conference aims to build a new social contract around data based on value and trust.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Gain a comprehensive understanding of Symbolic Data Analysis as conceived within Benzecri’s French school of "analyse des données," appreciating its historical and conceptual foundations. Develop expertise in distinguishing and managing various forms of symbolic data, enhancing their versatility in working with diverse datasets. Acquire hands-on skills to preprocess symbolic data efficiently, preparing it effectively for subsequent analysis.
Target Audience: Staff involved in preparing quality reports
Description: UNSD and UNDP, under the Data For Now initiative, organized a high-level seminar to discuss and establish a mutual understanding of how to better collaborate and make increased use of administrative data sources for statistics production. The event was followed by a practical workshop which provided an opportunity to jointly engage on technical level, ensuring that administrative data sources can be used for official statistics production.
Sierra Leone has identified, among others, two priority areas and respective SDG indicators that can be calculated using administrative data sources, environment and climate (SDG 13.1.1, 14.4.1 and 14.7.1) and crime and justice (SDG 16.1.1), that feeds into the National Mid Term Development Plan (NMTDP) and other policy documents.
The events were attended by high-level representatives and technical staff of the national statistical office and line ministries and agencies across sectors, including the National Disaster Management Agency, the Ministry of Fisheries and Marine Resources and the Justice Sector Coordination Office. The high-level seminar focused on the importance of data sharing within government and with the public for more informed decision-making, while the training covered different components, from mapping to quality management of administrative data sources, from metadata to data-sharing, interoperability and security.
Before and after the events, several meetings took place both online and in person, including a knowledge exchange with Dominican Republic and Cameroon, facilitated by UNSD.
Participants jointly developed a roadmap for sharing administrative data between institutions in which collaboration and capacity building has been recognized as key-drivers of change.
Source: Eurostat (Data extracted on: 29 May 2024 )
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Organizer(s): Eurostat
Description: What are the skills sought-after by employers? How do they vary across EU countries? To answer these questions, Eurostat has developed an interactive tool to explore which are the most demanded skills in online job advertisements. In this webinar, you will learn more about the development of the Top & trending skills tool by our experts, and how you can navigate it to find useful information on the skills demand in Europe.
Description: The objective of this virtual seminar is to provide Member States and interested parties with the conceptual foundations related to the five principles of the United Nations Global Statistical and Geospatial Framework, to enhance the use of integrated statistical and geospatial information.
Title in Spanish: Seminario sobre Integración de fuentes de datos y estadísticas oficiales
Organizer(s): ECLAC INEGI Mexico
Description: El propósito de generar un intercambio regional sobre los avances recientes en los distintos ámbitos de integración de fuentes de información, así como discutir sobre los desafíos que enfrentan los organismos productores de estadísticas oficiales y las alternativas para abordarlos con miras a la planificación estratégica para el próximo decenio.
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014), with an emphasis on new concepts introduced in GFSM 2014. The course requires that participants are familiar with the basic GFS framework and classification system. Emphasizing the integrated GFS framework, the course addresses complex cross-cutting GFS issues, such as social protection, government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and public sector balance sheets. It also examines coverage of the public sector, giving special attention to borderline and complex cases. The course discusses internal and intersectoral data consistency, coordination between data-producing agencies, as well as data presentation and communication with users. The format is lectures and discussions.
Target Audience: Officials whose main responsibility, for at least three years, has been compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues, such as those described below.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The objectives: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Understand the challenges and the issues of web data; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: Objectives The seminar aims to promote knowledge sharing, capacity building, and networking among UN officers responsible for supporting the development of national statistical systems, aiming to improve the quality, reliability, and relevance of statistics for inclusive decision-making and sustainable development. The event will update participants about the latest global efforts to strengthen and modernize national statistical systems. This includes discussing advancements in data governance, innovative data initiatives, and emerging trends in SDG monitoring. Participants can enhance their skills to support UN partners and national institutions effectively. The seminar also intends to provide a platform for participants to share their experiences and exchange good practices in coordinating development partners and stakeholders. Through interactive sessions and discussions, attendees can learn from each other's successes and challenges. Audience The main participants are Results Monitoring and Data Management Officers from the UN Resident Coordinator’s Offices in the Asia-Pacific region. The event is also open to participants from UN entities based in Bangkok. Presentation Agenda , RCP Data and Statistics Working Group SDG Data and Statistics Clinics SDG Learning Lab
Organizer(s): FAO European Commission European Space Agency WFP GEOCLAM
Description: The European Space Agency (ESA), the European Commission (EC), the World Food Programme (WFP), the Food and Agriculture Organization (FAO) and GEOGLAM are co-organising the EO for Agriculture Under Pressure 2024 Workshop, which will take place in Frascati (Italy), from 13 to 16 May 2024.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics.
Title in Arabic: التحليل الاحصائي المتقدم باستخدام برمجية SPSS
Organizer(s): AITRS
Description: تمكن عمليات معالجة وتحليل الإحصائيات المتأتية من مختلف المصادر الاحصائية من التعرف عن مجتمع الدراسة بكل عناية، وشرح صفاته، وتحديد مميزاته وتوفر مقارنة مع المجتمعات الاخرى او مع فترات زمنية سابقة. وكي يتحقق هذا الهدف لا بد من التعمق بدراسة البيانات التي تميز هذا المجتمع عن غيره كما يتوجب القيام بالدراسة من خلال عينة ممثلة للمجتمع الاساسي وفق الأسس العلمية، ليستخرج منها المؤشرات والخصائص التي يمكن تعميمها على المجتمع. ويأتي ذلك بتحويل البيانات الأولية إلى معلومات وحقائق قابلة للفهم وتزيد المعرفة الاحصائية، وذلك باستخدام عدة طرق وبرامج في عملية تحليل البيانات وتفسيرها. ومن هذا المنطلق تهتم الأجهزة الإحصائية بالتحليل الاحصائي الاستدلالي الى جانب التحليل الاحصائي الوصفي والذي يمكنه من اجراء اختبارات إحصائية للبيانات بغرض مزيد فهم الاحصائيات وإنجاز الأبحاث العلمية المختلفة حسب طبيعة البيانات، كما ويزيد من فهم الحزمة الإحصائية SPSS وامكانياتها العالية في هذا المجال.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic and social classifications, their content and use.
Target Audience: Any statistician of a National Statistical Institute (including newcomers) dealing with any statistical domain and wishing to understand better the system of classifications used.
Source: World Bank (Data extracted on: 24 Apr 2024 )
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Organizer(s): World Bank
Description: In a survey experiment conducted in El Salvador, we explore whether alternative survey methods can alleviate the underreporting of women's and young men'slabor market outcomes, thus enhancing the measurement of gender- and age-based gaps. We compare two alternative methods—a List of Activities survey module (LOA) and enforced self-responses (ESR)—with a traditional household survey, which relies on proxy responses without an LOA module. Our findings reveal significant differences. The inclusion of the LOA module leads to higher reported work and employment rates for the average respondent compared to the standard household survey. Notably, the reported work gap between men and women decreases when using the LOA module. Furthermore, employing ESR reduces the age gap for male respondents' employment and work rates. Our research underscores the impact of peer examples of informal employment and social norms regarding domestic obligations on these outcomes. This study offers valuable insights into the potential of alternative survey methodologies to provide more accurate representations of labor market dynamics and address gender and age disparities in employment.
Organizer(s): UN Global Pulse UNFPA WFP WHO Finland
Description: Three Tales of Transformation: Catalysing innovations for the 2030 Agenda with the UN Global Pulse Scale Accelerator Organized by: UN Global Pulse, the Government of Finland, United Nations Population Fund, World Food Programme and World Health Organization Join teams from WFP, WHO and UNFPA as they share their journeys of catalysing their promising innovations to turn […]
Description: This online workshop is organized by the Food and Nutrition Centre of CREA and the Food and Nutrition Division of FAO (ESN) within the framework of the Memorandum of Understanding between FAO and Italian Research Institutes (IRI).
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with theory and practice of quality in Official Statistics, in particular process and product quality. To this purpose, a brief overview of the ESS quality framework is given. Then, the focus of the course shifts on process and product quality measurement. The statistical process is described and tools for preventing and reducing the errors are presented and discussed. Methods and tools to assess the effect of non-sampling errors such as coverage, measurement and nonresponse errors in statistical products are widely described.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management.
Description: In a rapidly evolving educational landscape, the strategic use of data has become essential for training institutions to enhance the quality of learning experiences and extend their reach. "Analytics for Learning: Leveraging Data for Effective Training" is a comprehensive online course designed to empower educators, learning designers, training managers, and administrators with the knowledge and skills needed to harness the power of learning analytics and outreach strategies. This course will provide participants with insights into utilizing data-driven insights to optimize learning design, track learner progress, and implement successful outreach initiatives.
Target Audience: This course is tailored for a diverse audience that includes: - Educators and trainers seeking to leverage data for informed decision-making and improved learning outcomes. - Learning designers aiming to align course design with data-driven insights. - Training managers and administrators interested in enhancing the efficiency and impact of their training programs. - Professionals involved in outreach and marketing activities for training institutions.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP
Description: This e-learning course aims to build capacity in national statistical systems for the development and implementation of Reproducible Analytical Pipelines (RAPs) for Official Statistics.What is a Reproducible Analytical Pipeline?Simply putreproducible analytical pipelines (RAPs) are automated statistical processes (data processing and analysis) that codify to the greatest extent possible the production of official statistics. Common tools that are used to develop RAP include software such as R or Pythonand version control management tools such as Git.Reproducibility is at the heart of the approach. It implies that the outputs can be generated again with any new or revised input datasets using the RAP developed. This also implies drafting documents explaining the RAP that make it possible to build institutional knowledge and use the RAP in the future by new staff.
Description: Objective: The objective of the workshop was to provide participants with comprehensive insights into the production of tourism statistics and to foster discussions on harmonized methodologies and good practices, in line with the internationally agreed statistical frameworks for tourism statistics. Participants were better equipped to foster the development of the System of Tourism Statistics in their country, including by conducting relevant tourism surveys, the compilation of the Tourism Satellite Accounts, as well as the implementation of the Statistical Framework for Measuring the Sustainability of Tourism.
Organizer(s): BIS Bank of France Deutsche Bundesbank Germany
Description: The workshop on "Addressing climate change data needs: the global debate and central banks’ contribution" will be hosted by the Central Bank of the Republic of Türkiye, with the support of the Irving Fisher Committee on Central Bank Statistics (IFC), the Bank of France and Deutsche Bundesbank. The event is scheduled to take place in İzmir, Türkiye, from Monday 6 May to Tuesday 7 May 2024. For those unable to attend in person, we also offer the option of virtual participation. We aspire to convene experts from the public and private sector, as well as academia, to facilitate an insightful discussion on the challenges and prospective solutions that can enhance climate resilience strategies, especially through bridging data gaps. The imperative to improve climate risk data (and data on all ESG policies more generally) is now a universally acknowledged priority. While the workshop will be centred on initiatives by central banks to improve their policy-making and climate risk data frameworks, we intend to illuminate a broader spectrum of data-related challenges and potential remedies, considering the perspectives and inputs of all stakeholders involved. Specifically, we explore how ongoing and future initiatives, both at the national and international levels, can contribute towards identifying and closing data gaps for key policy areas. These include, but are not limited to, measuring the climate impact of economic activities, the volume of climate finance and government expenditure to mitigate climate change as well as developing forward-looking physical and transition risk indicators. The workshop is meant to contribute to the global debate on the subject matter and will particularly emphasise forward-looking physical and transition risk indicators.
Description: The course will review concepts and definitions of key welfare indicators such as the consumption aggregate, poverty line and headcount rate, inequality, and shared prosperity measures. It will outline the key steps of household survey design and implementation, including sampling, survey instruments, and data quality monitoring. The training will also have a hands-on session using Stata, a statistical software for data management and analysis, to familiarize participants with its functionalities, including data importing, cleaning, and analysis. Through real-world examples, the course will cover how a consumption aggregate is calculated from food and non-food components of household expenditure, and the necessary imputations to capture rent, subsidized goods, and spatial differences in prices. Using these concepts, the course will enable participants to calculate welfare measures at national and sub-national levels. The training will also consist of interactive sessions among participants and trainers for focused country specific discussions on upcoming household surveys, labor force modules, and aspects of multi-dimensional poverty. The overarching goal would be to improve statistical capacity and create a basis for engagement on statistics that the Poverty team can build upon in future.
Target Audience: The training program on poverty measurement is specifically designed for officials and policymakers at the National Statistics Organizations (NSO), Ministries of Planning, Finance, Social and Labor Affairs, and related government think tanks of MENA countries. Countries where statistical capacity needs to be improved, and which are either in the early stages or in the process of implementing a household survey are especially encouraged to participate. This audience is targeted due to their roles in data management, analysis, and policy-making that require a deep understanding of household survey data and welfare measurement.
Source: World Bank (Data extracted on: 08 Mar 2024 )
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Organizer(s): World Bank
Description: Foundational models like large language models (LLMs) have recently commanded widespread public attention—and caution—given their transformational potential for both our economy and society. Naturally, questions loom about how these AI innovations will impact the global development research and policy landscape. If used properly by the right actors, these tools might unlock enormous troves of data and create new opportunities to improve lives around the world. The World Bank's Development Impact (DIME) department and Development Data Group (DECDG), the Center for Effective Global Action (CEGA), and and the development community at the University of Chicago are excited to explore this topic at our tenth annual Measuring Development (MeasureDev) Conference, “AI, The Next Generation.” MeasureDev 2024 will feature presentations on AI that span the measurement ecosystem: from efforts to improve and expand responsible data infrastructure in low- and middle-income countries (LMICs) and facilitate the development of a new generation of AI tools, to analysis tailoring foundational models to optimize generative AI (GenAI) including LLMs for social impact. The event will feature speakers who are shaping the way these new tools will be adopted and regulated.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts that cover balance of payments and international investment position (IIP) statistics according to the internationally accepted standards. It is a basic-level course laying the foundation for the intermediate balance of payments and IIP statistics course. It is open to those who compile, or plan to compile, balance of payments and IIP statistics and to the general public.
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in the compilation of annual gross domestic product both at current prices and in volume terms using the production and expenditure approaches, in support of better policy-making and surveillance. The course starts with an overview of the system of national accounts, presenting the sequence of accounts for transactions and other flows as well as balance sheets, with a focus on the framework of the 2008 SNA. It covers the main concepts involving transactions, other economic flows, stocks, institutional units, classifications, and main macroeconomic aggregates measured by the system. The main lectures and workshops include: sessions on the production account covering the definition and measurement of output, intermediate consumption, and value added; valuation issues; and the treatment of particular industries; source data and issues in the compilation of GDP by production and expenditure approaches; deflators and derivation of volume measures of GDP; and specific issues related to goods and services transactions, including supply and use framework, inventory valuation adjustment, consumption of fixed capital, non-observed and informal economy, global supply chains, and the digital economy.Emphasis is also placed on sharing country experiences among the participants.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts data.
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014 , which is harmonized with the System of National Accounts (SNA 2008) . The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Target Audience: Officials whose main responsibility is compiling and disseminating fiscal statistics.
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). The course will cover basic concepts, definitions, and classifications, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the EDS. Finally, participants will be briefed on basic concepts of the debt sustainability analysis framework.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts—specifically compilation of external debt statistics (EDS) and/or international investment position (IIP) statistics. It is a basic-level course laying the foundation for the face-to-face EDS course. It is open to those who compile, or plan to compile, EDS/IIP and to the general public.
Description: This course, presented by the Statistics Department, of the International Monetary Fund (IMF) introduces participants to the underlying concepts, definitions, and methodology for the compilation of Financial Soundness Indicators (FSIs). FSIs were developed by the IMF in the late 1990s and currently, more than 140 countries compile and report FSIs to the IMF. These indicators are widely used by researchers, analysts, and policymakers around the world to monitor the soundness of the financial system as a whole from a macroprudential perspective, as well as by IMF staff in financial stability analysis and surveillance. This course covers the history of the FSIs and their application in surveillance and macroprudential analysis, the conceptual framework for the FSIs, the data collection process for FSI compilation and its underlying aggregation and consolidation methodologies as well as the application of core and additional FSIs in macroprudential analysis. An important reference throughout this course is the Financial Soundness Indicators Compilation Guide revised in 2019. The 2019 FSIs Guide is the ultimate authority on FSI concepts and methods and is the foundation of this course.
Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This online course, presented by the Statistics Department, introduces participants to key CPI concepts and methods. The course provides an overview of key CPI concepts, definitions, and uses. It provides an overview of different index number formulas and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course also discusses the sources and methods for sampling areas, items, outlets, and varieties; treatment of temporarily and permanently missing prices; and updating and linking CPI data series. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: defining key concepts and uses of CPI data and how these influence the design of a CPI; meeting data users' needs to ensure relevancy; calculating elementary and upper-level indexes; methods for sampling areas, items, outlets, and varieties; methods for handling temporarily and permanently missing prices, including adjusting prices for quality changes; and chaining and linking indexes with updated weighting structures. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs) and users of CPI data interested in understanding key concepts and compilation issues.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011) —in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Target Audience: Officials whose main responsibility is compiling and disseminating public sector debt statistics.
Description: This course, presented by the Statistics Department, teaches you how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs). The course presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.
Target Audience: This introductory online course is designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts and High-Frequency Indicators of Economic Activity, according to the recommendations of the System of National Accounts, and using them to better understand the role of high-frequency data in analyzing current economic developments.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Target Audience: Officials who compile macroeconomic and financial statistics in national statistical organizations, ministries of finance, economy, or planning, or in central banks.
Source: World Bank (Data extracted on: 24 Apr 2024 )
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Organizer(s): World Bank
Description: Caribbean-wide, there is an urgent need to measure poverty to understand exactly who is affected and how. Only by doing so can the region effectively implement corrective policies. Many Caribbean countries struggle with weak statistical capacity and low data usage. According to the World Bank's Statistical Performance Indicator (SPI), which measures statistical capacity at the country level, the region ranks lowest in statistical performance compared to other regions, aligning more closely with low-income countries. With some exceptions, like Jamaica and the Dominican Republic, the most recent poverty estimates are between 6 and 8 years old. Furthermore, national poverty estimates are only available for the 2000s in more than a handful of countries. This data deficit hinders the effective tracking of Sustainable Development Goals related to poverty and inequality (SDG1: eradicating poverty in all its forms, and SDG 10: reducing inequality within and among countries) and the design of targeted poverty alleviation programs and policies. In the past, even if data to measure poverty was available, it had not been used sufficiently for purposes other than national poverty monitoring. A recent World Bank effort harmonized data from living conditions and household budget surveys in four Caribbean countries with existing microdata (Grenada, Jamaica, Saint Lucia, and Suriname) to produce internationally comparable poverty and equity estimates and allow the inclusion of these estimates into global monitoring of SDG1 and SDG 10. These estimates are now available on the World Bank’s Poverty and Inequality Platform. Harmonized welfare aggregates are essential for providing a consistent and comparable welfare measure across different populations or countries, allowing for global monitoring and benchmarking. This is especially valuable in regions like the Caribbean, where countries may have diverse economic contexts but share similar development objectives. Harmonized welfare aggregates facilitate cross-country analyses, inform policy decisions, and contribute to more effective regional cooperation and development strategies. Join us for another Ask WB Caribbean on April 30, where we will present the global estimates of poverty and inequality in the Caribbean and discuss committing to regular and comprehensive data collection on poverty and key socio-economic indicators, investing in the capacity of national statistical offices and policy analysis units, and promoting data transparency and accessibility.
Description: The producer price index (PPI) and the export and import price index (XMPI) are important complements to the consumer price index (CPI) in drawing a more complete picture of how inflation affects major parts of an economy, including businesses and institutions, in addition to households. These indexes are used to deflate production and expenditure values in the national accounts, adjust prices in long-term contracts, analyze short-term inflation trends, and perform terms of trade analysis. In the Producer, Export, and Import Price Index course, or PPIx, you will learn the fundamentals of how these statistics are compiled and used. In this course, we take a close look at the types of transactions and prices included in these indexes, and how they are weighted together to create the total index values reported in the news.
Target Audience: Compilers of producer price indexes (PPIs) and export and import price indexes (XMPIs), and users of these data interested in understanding key concepts and compilation issues.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
In today's digital age, citizen data stands at the forefront of efforts to bridge data gaps, promote inclusivity, and strengthen accountability worldwide. Defined as data co-created with or initiated by citizens, these invaluable insights offer a unique perspective on addressing the most pressing challenges facing our communities.
At this event, we will delve into the crucial role of citizen data in advancing the UN 2.0 vision, where innovation, cultural shifts, and enhanced skills converge to turbocharge support for people and planet. Moreover, we will showcase the groundbreaking work of the UN Collaborative on Citizen Data, highlighting the recently unveiled "Copenhagen Framework on Citizen Data" as a blueprint for action.
Join us as we explore how UN agencies and country offices can champion citizen data initiatives, amplifying the voices of marginalized communities and driving meaningful progress towards the Sustainable Development Goals.
Registration
Programme:
Opening: Yongyi Min
Presentation of Collaborative on Citizen Data and the Copenhagen Framework: Haoyi Chen
UN country team (Bangladesh): Halima Neyamat
UN Women: Jessamyn Encarnacion
ODW: Francesca Perucci
International Disability Alliance: Jose Maria Viera
Description: UNSD, under the Data For Now initiative, has conducted online training on metadata on geospatially enabled statistical indicators prioritized by the project countries. National staff from Morocco, Jordan, State of Palestine and Kyrgyzstan participated in the training which aimed to strengthen their capacity to compile metadata on those SDG 9 and 11 indicators they work on in the project.
Description: We consider model-based optimal sampling designs for multipurpose surveys with multiple measures of size. The problem is motivated by surveys conducted by the United States Department of Agriculture’s National Agricultural Statistics Service (NASS), in which estimates of planted and harvested acres of different crops are of interest, and historical acreages are available on the frame as measures of size. We use convex optimisation to find the inclusion probabilities that minimise expected sample size subject to target precision requirements for different study variables, along with other inequality constraints. The precision requirements are computed as anticipated coefficients of variation under models relating study variables to frame measures of size. These same models are used in established NASS strategies for the multipurpose survey problem to obtain Multivariate Probability Proportional to Size (MPPS) inclusion probabilities. MPPS uses the measures of size to determine optimal inclusion probabilities for each model, then maximises over models. This solution is practical but not optimal. We compare the use of the MPPS and optimal inclusion probabilities under different designs (Poisson sampling and balanced sampling) and different estimators (calibrated and uncalibrated) via a Monte Carlo experiment using a simulated population of farms with realistic size and complexity.
Description: The United Nations Integrated Geospatial Information Framework (UN-IGIF) serves as a foundational roadmap for enhancing geospatial information management globally. Its primary goal is to aid countries in developing, integrating, and optimizing their geospatial resources, thereby narrowing the digital gap, and fostering socioeconomic progress for all.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective is to enable participants: * To have an understanding of the range of techniques which make up a cognitive interview; * To have increased their own ability to do cognitive interviewing; * To have insight into selecting and recruiting respondents; * To have insight into analysing cognitive interview data and creating better survey questions; * To have awareness of a broad range of uses for cognitive interviewing; * To have awareness of the contribution of cognitive interviewing in comparison to other testing methods; * To understand how cognitive interviewing can improve questionnaires on gender topics and thus the associated social statistics.
Target Audience: The course is targeted at NSI methodologists and social scientists whose work involves conducting surveys
Description: This course, presented by the Statistics Department, introduces the fundamentals of compiling monetary statistics, with special attention to other financial corporations (OFCs). It also gives an overview of financial statistics and national accounts. The course material is based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). Although the course summarizes the main principles underlying the compilation of monetary statistics, it assumes participants already understand these principles (e.g., having participated in the MFS-I course). The core of the course deals with characteristics of various OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structure, and their role in the financial sector. The course also covers some aspects of financial statistics, dealing with financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world; the balance sheet approach to vulnerability analysis; and the relationships between monetary, balance of payments, government finance, and national accounts statistics. The course consists of lectures and case studies to familiarize participants with practical aspects of compiling monetary statistics for OFCs and the basic principles underlying the compilation of national accounts. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This course shall democratize the accessibility of privately held data and valorisation thereof; Get to know the techniques and tools to access privately held data; Understand the stages of data valorisation pipelines, including data storage and accessibility; Familiarize with the European Data Strategy and Digital Strategy; Experiment with web-crawling, web-scraping, web-automation and API interfacing techniques; Gain hands-on experience with diverse data mining techniques from privately held data sources.
Target Audience: Official Statisticians wishing to develop a toolbox for data acquisition with respect to privately held data at national level.
Description: This workshop will bring representatives from Member State civilian science, defence and policy agencies together to: 1. Introduce the global geodesy supply chain and explain why it is vital for national economies and the operation of critical infrastructure. 2. Discussthe weaknessesin the global geodesy supply chain and the threat to our use ofspace from a civilian and defence perspective. 3. Discuss pathways and actions to address weaknesses in the global geodesy supply chain in the short, medium and long-term.
Description: Join us for an exclusive event unveiling the cutting-edge capabilities of the new UN Data Platform! Harnessing AI-based natural language query and knowledge graph technologies, this platform revolutionizes how we access and utilize authoritative statistical data from across the UN system. UNDESA’s Statistics Division, in collaboration with Google’s Data Commons, launched the UN Data Commons for the SDGs at the 2023 SDG Summit. Building upon this success, the UN Data Platform has since expanded to include WHO data, with plans for further integration of data across the UN system in the upcoming year. The event will also feature a distinguished panel that will delve into topics such as new data governance models, collaborative approaches to data management, and strategies for providing powerful search and analytic capabilities for all users. Don't miss this opportunity to shape the future accessibility and usability of the UN Data Platform. View live stream on YouTube here.
Source: Eurostat (Data extracted on: 23 Apr 2024 )
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Organizer(s): Eurostat
Description: Would you like to know more about how our statistical maps are created and become a mapmaker of your own? Maps are an integral part of our daily lives, helping us to navigate the world around us. They are powerful tools for data visualisation that enable us to translate complex information into instantly understandable insights. In this webinar you will learn more about the geographic information system of the European Commission, abbreviated as GISCO, and how to use Eurostat data to create your own statistical maps with the so-called IMAGE tool.
Title in Spanish: Power of Data: Alianzas estratégicas para la generación de datos para el desarrollo en América Latina y el Caribe
Organizer(s): ECLAC
Description: Evento paralelo de la Séptima reunión del Foro de los Países de América Latina y el Caribe sobre el Desarrollo Sostenible llevada a cabo en Santiago, del 15 al 18 de abril de 2024.
Description: ARFSD Side event Webinar: Africa Progress Towards SDG 16.9: Legal Identity for All Registration Link: https://zoom.us/webinar/register/WN_kcj7yB5VSyeAMYvtkn7_6g#/registration Date: 18/04/2024 Time: 09:00-10:30 (Addis Ababa time)
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance the theoretical and practical knowledge of waste statistics validation approaches. The main focus will be on validation routines, looking at strengths and weaknesses in the chosen approaches and possibilities for shared responsibilities between countries and Eurostat. The course will explore possible ways of avoiding duplication of validation routines and in waste statistics and means of obtaining more effective statistics.
Target Audience: Staff members involved in the production of official waste statistics, advanced level.
Organizer(s): UNCTAD SDG Lab Rethinking Economics AI Generated
Description: BackgroundIt is by now well understood that today’s financial and economic systems are not fit-for-purpose to address the triple planetary crisis and ensure a sustainable future for all. Our current system is biased towards prioritizing short-term profit over the long-term wellbeing of people and planet.As we head into the UNs Summit of the Future, one of the key structural challenges that needs to be addressed to advance the SDGs is the development of a universal and comprehensive measurement of progress on sustainable development to complement Gross Domestic Progress (GDP). It is key that young people have a voice in the development of a framework to complement GDP, a framework that will have implications on their futures and wellbeing.To this end, the SDG Lab is organizing an intergenerational discussion on “What Counts in the future?” in collaboration with the UN Conference on Trade and Development (UNCTAD) and the international student movement, Rethinking Economics. The objective is to infuse the discussion on how we move Beyond GDP with a diverse range of youth perspectives and expertise, to provide input for Member States as they negotiate the Pact for the Future.The dialogue is the continuation of discussion at the event “Rethinking Economic Systems for Long-term Sustainable Development”, which took place in October 2023 as part of the SDG Lab`s What`s Next series. The session brought together several influential organizations and stakeholders to reflect on the way forward to ensure that the economy creates value for local communities and countries today and in the future. The discussion made it clear that we need a mindset change and political courage to make use of the momentum to move beyond GDP.To generate insights from young people, an essay competition was launched in advance of the dialogue on 17 April. Over 630 young people from more than 50 countries submitted their response to the question: What values and principles would you like to see in a Framework to Value What Counts beyond GDP and what are the challenges to be addressed as a priority? ProgrammeAt this interactive in-person meeting the five winners of the global essay contest will share their perspectives on the values and principles that should be included in a framework to move beyond GDP. Furthermore, the meeting will invite leaders from both the public and private sphere, including senior UN officials and Member States and other international organizations, to reflect and engage with the young speakers.Speakers include: * Ms. Tatiana Valovaya, Director-General, United Nations Office at Geneva (UNOG) * Mr. Pedro Manuel Moreno, Deputy Secretary-General, United Nations Conference on Trade and Development (UNCTAD) * H.E. Ms. Eunice M. Tembo Luambia, Ambassador and Permanent Representative of Zambia to the United Nations Office and other international organizations in Geneva * Mr. Jean-Luc Bernasconi, Chief of Staff, Swiss Agency for Development and Cooperation (SDC), Member of the Directorate at SDC * Mr. Laurence Jones-Williams, Director of Rethinking Economics International * Ms. Özge Aydogan, Director of the SDG Lab, United Nations Office at Geneva (UNOG) * The five winners of the global essay competition on Moving Beyond GDP: * Ms. Paula Borges (Brazil) * Ms. Rose Holm (Denmark) * Ms. Kaydence Drayak (United Kingdom) * Ms. Julianna Makonise (Zimbabwe) * Ms. Aymen Ahmad (Pakistan)Read the publication"What counts in the future? Youth perspectives on measuring what we value".
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of this course is to provide the participants with an overview of Statistical disclosure theory and methods related to tabular data protection and microdata protection, as well as the respective software. Participants will be asked to bring case studies that will be discussed in the training.
Target Audience: Staff dealing with statistical confidentiality
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course: to provide practical training in writing about statistics in clear and understandable language, with the aim to improve the attractiveness and efficiency of presenting statistics, while bearing in mind the principles of the Code of Practice.
Target Audience: Staff involved in/responsible for drafting/writing press releases, statistical texts and articles for NSI’s publications, for the web, for social media or other types of communication channels.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat EFTA Statistics Iceland
Description: This objectives are: * Present how R can be used for processing, analyzing and disseminating official statistics. * Introduce the “tidyverse” and how it can be used for data wrangling. * Present ggplot and how it can be used to produce graphs. * Introduce the GSBPM, how it applies to the production of official statistics and linking it to available R libraries and functions. * Introduce RMarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians.
Description: UNSD, under the Data For Now initiative, organized a workshop on using geospatial and statistical data to produce three SDG 11 indicators: 11.2.1 on convenient access to public transport, 11.3.1 on the ratio of land consumption rate to population growth rate, and 11.7.1 on access to open public spaces. The national partners have identified these indicators in line with Morocco’s national priorities.
Description: From 15 to 16 April, FAO organized a workshop in Rome to convene key national stakeholders to introduce them to the ASTI methodology and procedures as well as initiate dialogues between national agricultural research institutes (NARIs) and national statistical offices (NSOs). These dialogues aim to unveil and present the new data collection approach while deliberating on and exploring strategies for effective integration of ASTI into National Statistical System (NSS) mechanisms, a crucial step for providing collecting agencies with a clear mandate, ensuring quality, and official validation of the data.
Description: This is the first webinar of the webinar series on the System of Environmental-Economic Accounting (SEEA) organized by the United Nations Committee of Experts on Environmental-Economic Accounting (UNCEEA). This webinar aims at providing a foundational understanding of the SEEA and how the SEEA can support national implementation of the monitoring framework of the Kunming-Montreal Global Biodiversity Framework (GBF). The SEEA provides the methodological basis for a number of indicators of the monitoring framework of the GBF. In particular, the SEEA Ecosystem Accounting will provide the methodological basis for three headline indicators adopted for high-level monitoring of the GBF, including in national reports under the Convention on Biological Diversity (CBD) — i.e., indicators A.2 Extent of natural ecosystems, B.1 Services provided by ecosystems and 9.1 Benefits from the sustainable use of wild species. In addition, the SEEA Central Framework includes accounts which contain information on biodiversity expenditures and investments, which are relevant to the GBF’s financing indicators, such as D.3 on Private finance. The full list of indicators can be found in the CBD Decision 15/5. Objectives To understand the SEEA framework and its relevance to the headline indicators of the Kunming Montreal GBF monitoring framework, with a focus on indicators A2 and B1. To discuss the challenges and opportunities in applying the SEEA Ecosystem Accounting for national level monitoring of biodiversity.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Provide an introduction to cartographic design principles for statistical map design. Introduce basic and advanced cartographic representation methods with practical examples on statistical data. Provide guidelines for creating maps for online publication and for printout.
Target Audience: Statisticians working in the field of Earth observation, geographic information systems and statistics, who would like to gain knowledge and practical skills on using cartographic representation methods to visualize statitiscal data.
Description: Background and rationale National Statistical Offices (NSOs) and other entities comprising national statistical systems in the Asia-Pacific region are facing ever-increasing demand for statistical products that are timely, frequent, granular, and accurate. The continuous improvement of statistical business processes, including through standardization and automation, is imperative to keep up with this demand while assuring that quality standards are being met. This requires the deployment of IT tools that can be used for a wide range of these processes, are cost effective, and are widely accepted and supported. In R, NSOs in many countries are converging on a programming language and software environment that meets these criteria. Designed for statistical analysis, reporting and visualization, R is a powerful tool for data analysis. R and specific packages developed for it cover many of the processes schematized in the Generic Statistical Business Process Model (GSBPM).1, 2 R is open-source, which not only makes it free, but also makes it a solution that facilitates sharing and collaboration. And R is used by a worldwide community of an ever-increasing number of users, not only in official statistics, but also in academia, business, and other branches of government. Programme Concept note Objective The objective of the workshop was to strengthen and/or build (whatever the case may be) the capacity of participants in applying R and the packages developed for statistical business processes at their organizations. Specifically, the participants were expected to: Use R and RStudio and gain a sound foundation from which they can continue to learn within their organizations Learn about some commonly used R packages Explore examples of how R can be applied to official statistics Gain an understanding of how business processes for the production and dissemination of statistics can be structured, as reflected in the GSBPM
Description: The fifth meeting of the Expert Group on Land Administration and Management is hosted by the National Institute of Statistics and Geography (Instituto Nacional de Estadística y Geografía) of Mexico and will also incorporate the Second International Seminar on United Nations Global Geospatial Information Management with the theme "Effective land administration". This in-person meeting allows members of the Expert Group together with invited experts to review, discuss and consider a number of substantive items that are presently before the Expert Group. The International Seminar on United Nations Global Geospatial Information Management with the theme ""Effective land administration", will provide an open forum for dialogue and deliberating key considerations leveraging the nine pathways of FELA to provide the reference and guidance for Member States when establishing, strengthening and modernizing their land administration nationally or sub-nationally. This International Seminar seeks to share and exchange knowledge, information and experience, facilitate peer-to-peer engagement and learning; promoting and raising awareness of the merits and benefits of effective land administration; accelerating efforts to recognize and record people to land relationships in all its forms; addressing climate-related challenges and improving resilience including the technical complexities around the land/sea interface; and broadening perspectives in effective land administration.
Description: The MAM-CoP secretariat is pleased to invite you to participate in the upcoming webinar. Title of the webinar: “Insights in Determining Causes of Death Amongst Adults using Verbal Autopsies”, Date: Monday 8 April 2024 Time: 08:00 – 09:00 am (New York time) (please click to check your time) Venue: Online via MS Teams Registration link: (Please register here) Once you have completed the registration process, a meeting link will be generated for you to access the webinar. For more details about the content and objectives of the webinar, please refer to the attached flyer.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). It’s an overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered.
Target Audience: Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. Managers with responsibility on several or all the areas listed above.
Description: ESCAP in collaboration with the International Monetary Fund (IMF) and the Statistics Division of the Department of Economic and Social Affairs (UNSD) hosted a webinar on Updates to the Balance of Payments Manual and the System of National Accounts. The objective of the Webinar was to facilitate understanding of the update processes, the resulting changes, and their implications for official statistics production. Participants were also informed of the joint BPM/SNA chapters, and were expected to identify priority changes for implementation in their country. During the webinar, participants had ample time and opportunity to engage in plenary and group discussions and seek insights from other participants and resource persons. The Webinar was organized for mid-level management and technical staff involved in the compilation and dissemination of external sector and national accounts statistics. Agenda , Webinar: Asian countries (26-27 March 2024) Webinar: Pacific countries (3-4 April 2024)
Description: An insight into implementation of CRVS Business Process Improvement (BPI), and the experiences and success stories from countries in Asia and the Pacific. .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } , Stats Café Home: Upcoming events Concluded events
Description: The objective of this virtual seminar is to provide Member States and interested parties with the conceptual foundations related to the five principles of the United Nations Global Statistical and Geospatial Framework, to enhance the use of integrated statistical and geospatial information.
Description: For this Joint UNICEF and Global Network Webinar on Benchmarking Progress on Child-Related SDGs Across Countries we welcomed João Pedro Azevedo from UNICEF. The SDG midpoint must be a turning point. As we approach the halfway mark of the Sustainable Development Agenda, it is imperative that we accelerate progress, particularly for children. UNICEF’s benchmarking approach helps countries set ambitious and realistic child-related SDG targets. This method sheds light on the effort that will be needed in the second half of the SDG period compared to past achievements within each country. Moreover, it offers insights into the future efforts required, drawing comparisons with similar countries. The webinar will feature a presentation describing the nature of the benchmarking exercise and the main results of a recent UNICEF report followed by a QA session.
Source: ESCAP SIAP (Data extracted on: 29 Jul 2024 )
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Organizer(s): EGRISS ESCAP SIAP UNSD
Description: The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent yearswith UNHCR estimating over 108.4 million forcibly displaced persons in 2022. Similarlythe issue of statelessness continues to persist in societywith 4.4 million people currently estimated to be stateless. This course introduces the “International Recommendations on Refugee Statistics” (IRRS)the “International Recommendations on IDP Statistics” (IRIS) and the “International Recommendations on Statelessness Statistics” (IROSS). These sets of recommendations were endorsed by the United Nations Statistical Commission in 2018 (IRRS)2020 (IRIS) and 2023 (IROSS)respectively. The course is spread over six substantive modules and provides details on the statistical framework for compiling refugeeIDP and stateless persons statistics. It introduces conceptsdefinitionsclassifications and methodologies relevant to collectingcompilinganalyzing and disseminating data and indicators on refugeesIDPs and stateless persons2 including Sustainable Development Goal (SDG) indicators. The course also includes information on data sourcesinstitutional mechanismsand coordination.
Description: This course, presented by the Statistics Department, prepares participants to compile QNA and/or HFIEA by providing them with a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets. The course covers both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. Participants will learn how to identify and assess available data sources for compiling QNA and HFIEAs; use related real-time series databases to assess the quality of QNA and HFIEAs; and implement a suitable revisions policy.
Target Audience: This online course is designed for officials worldwide who are responsible for compiling quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). The course will cover basic concepts, definitions, and classifications, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the EDS. Finally, participants will be briefed on basic concepts of the debt sustainability analysis framework.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts—specifically compilation of external debt statistics (EDS) and/or international investment position (IIP) statistics. It is a basic-level course laying the foundation for the advanced EDS course. It is open to those who compile, or plan to compile, EDS/IIP and to the general public.
Description: The increasing availability of multiple data sources to investigate complex socio-economic, agricultural, health and environmental phenomena represents a great opportunity for survey statisticians, given the need to reduce the cost of data collection and the increasing demand for detailed information. Combining already available data sources is a key element in complementing and increasing the relevant information available in a single source. However, sometimes lack of standardisation, different forms and structures (if any) of data pose challenges to data linkage procedures and may result in an error-prone linkage. Probabilistic data linking comprises a set of statistical methods for combining multiple sources, recognising the same units even in the absence of common identifiers. In addition, probabilistic linkage produces some measure of the potential errors generated by the statistical integration procedure itself. The propagation of uncertainty from data linkage to downstream analyses based on linked data is a topic of growing interest to survey statisticians, with some interesting proposals for adjusting standard methodology (and more).
Description: ESCAP in collaboration with the International Monetary Fund (IMF) and the Statistics Division of the Department of Economic and Social Affairs (UNSD) hosted a webinar on Updates to the Balance of Payments Manual and the System of National Accounts. Agenda The objective of the Webinar was to facilitate understanding of the update processes, the resulting changes, and their implications for official statistics production. Participants were also informed of the joint BPM/SNA chapters, and are expected to identify priority changes for implementation in their country. During the Webinar, participants had ample time and opportunity to engage in plenary and group discussions and seek insights from other participants and resource persons. , Webinar: Asian countries (26-27 March 2024) Webinar: Pacific countries (3-4 April 2024)
Description: For this Global Network Webinar, we were pleased to welcome Francesca Perucci, Jahanara Saeed, and Deirdre Appel from Open Data Watch who presented on Advancing National Data Systems with the Gender Data Compass. As a compass helps travelers orient themselves, the Gender Data Compass (GDC) is a guide for national statistical offices (NSOs), other government agencies, development practitioners, and donors seeking to build robust, inclusive, and effective gender data systems. It has five cardinal points: gender data availability, gender data openness, institutional foundations, technical and statistical capacity, and financing. The results of the first round of Gender Data Compass reveal a stark reality: many countries face significant challenges in producing the necessary gender indicators for informed policymaking and monitoring progress towards equitable and sustainable development. Despite these challenges, the Gender Data Compass offers a roadmap of recommendations and solutions to overcome them. Specifically, this webinar presented the Gender Data Compass and offered ways in which countries can use this research to improve and strengthen their own gender data systems. For more information on the Gender Data Compass please visit: https://gdc.opendatawatch.com/
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of government finance statistics (GFS) as presented in the¿Government Finance Statistics Manual 2014¿(GFSM 2014), with an emphasis on new concepts introduced in¿GFSM 2014. The course requires that participants are familiar with the basic GFS framework and classification system. Emphasizing the integrated GFS framework, the course addresses complex cross-cutting GFS issues, such as social protection, government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and public sector balance sheets. It also examines coverage of the public sector, giving special attention to borderline and complex cases. The course discusses internal and intersectoral data consistency, coordination between data-producing agencies, as well as data presentation and communication with users. The format is lectures and discussions.
Target Audience: Officials whose main responsibility, for at least three years, has been compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues, such as those described below.¿¿
Description: The 27th Energy Statistics Course from the IEA, will take place in a virtual format on 25-28 March 2024. This free course offers training in the internationally recognised IEA methodology and tools for collecting and organising national-level energy data by different fuels and sectors of the economy. It focuses on creating complete and accurate energy balances through the use of consistent definitions and units, in order to inform national energy policy and enable consistent international reporting. The course is from 12:00 to 15:30 Paris time and it will be divided into 8 modules with a strong focus on exercises.
Source: Eurostat (Data extracted on: 24 Aug 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material. Describes the purpose, use and construction of HICP. Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data.
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Validation and reporting results of machine learning methods. * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks. * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments * Understanding of symbolic computation for backpropagation and gradient descent * Model selection, Hyper-parameter tuning and practical considerations * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients. * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Half-way through the implementation of the 2030 Agenda and despite improvements, critical gender data gaps still exist across the SDGs in terms of geographic coverage, timeliness and the level of disaggregation required. Intensified efforts need to be made to fill those gaps. The Agenda 2030 asks that follow-up and review processes at all levels should be open, inclusive, participatory and transparent for all people and support the reporting by all relevant stakeholders. Therefore, the successful as well as gender-sensitive implementation and monitoring of the Agenda needs the engagement of citizens, with particular attention to the voices of the poorest and most vulnerable – more often, women and girls.
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Government Finance Statistics Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics: Guide for Compilers and Users (PSDSG). The course requires that participants are familiar with the basic government finance statistics (GFS) and PSDS framework and classification system. Emphasizing the integration of stock positions and flows in the framework, the course addresses more complex issues regarding the:definition of gross and net debt in terms of debt instruments;coverage and sectorization of the public sector, with special attention to borderline and complex cases;valuation of public sector debt statistics; andconsolidation of public sector debt statistics.In addition, the course addresses a number of complex cross-cutting PSDS issues, such as government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and the balance sheet approach (BSA) to identify risks and vulnerabilities.The format is lectures and discussions.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This course shall democratize the understanding and use of blockchain technology, showcasing how decentralized, asynchronous data economies leveraging micro-data, official statistics, verifiable credentials and the European blockchain, change the way we live and work – blockchains have so much more to offer than just cryptocurrencies. Understand the cryptographic principles behind blockchains Understand the components of blockchains Get to know impactful use cases of diverse blockchains Get to know the ecosystems of available blockchains and tools Develop an application and its smart contracts on the blockchain for Official Statistics
Target Audience: Official statisticians/data scientists/IT experts
Organizer(s): ESCAP EGRISS International Data Alliance for Children on the Move
Description: This workshop is a joint ESCAP-EGRISS-IDAC initiative to support the Asia-Pacific Civil Registration and Vital Statistics Decade. The workshop aims to strengthen the capacity of Member States to achieve inclusive CRVS systems and, thereof, to produce and use statistics on statelessness, forced displacement, and children on the move through:Introducing key resources developed by EGRISS, IDAC and ESCAP and strengthening understanding of concepts and methodologies related to statelessness and forced displacement statistics and CRVSEnabling exchange of experiences, best practices and lessons learned between countries and other stakeholders in ensuring inclusion in CRVS systems and producing and using statistics on statelessness and forced displacement statisticsIdentifying gaps and challenges that need to be addressed and facilitate discussions around solutions and innovative approaches related to inclusion of stateless and displaced people in CRVS systems and the production and use of statistics from these systems.Identifying areas of technical support, collaboration and partnerships within wider technical and political regional priorities.Relevant resources: Find the agenda and the resources links listed in attachments!Link to Inequality Assessments project (ESCAP)Link to Principles and Recommendations for a Vital Statistics SystemLink to Guidelines on the Legislative Framework for Civil Registration, Vital Statistics and Identity Management SystemsLink to Bali Process Civil Registration Assessment ToolkitLink to Guidelines for estimating completeness of civil registration of vital events: a guide for practitionersThe report of the workshop is here
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material. Describes the purpose, use and construction of HICP. Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data.
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs.
Title in Spanish: Taller sobre los lineamientos globales de Naciones Unidas para la gestión de información geoespacial y su integración con la información estadística
Organizer(s): ECLAC ONEI Cuba ONHG Cuba
Description: En este taller se expusieron los lineamientos globales para la gestión de información geoespacial y su integración con la información estadística.
Description: The Second Meeting of the International Advisory Committee will be held from 18 to 19 March 2024 at the UN Campus in Bonn, Germany. Over these two days, there will be a joint workshop on the global geodesy needs assessment and global geodesy development plan where the UN-GGCE and the UN-GGIM Subcommittee will participate
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing a sound knowledge on the elaboration and use of statistics on : trade in goods, services, travel, financial flows, trade in value added, use of bop and IIP statistics.
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks.
Description: The results of the ICP are important for policymakers at both the national and regional levels in areas as diverse as the allocation of resources for production or the targeting of plans to address the well-being of the population.
Description: For this Global Network Webinar we were pleased to welcome Enrique Delamónica (UNICEF) and Oliver Fiala (Save the Children) who presented on Pro-poor public social spending and its concepts, data challenges, and measurement. SDG indicator 1.b.1, Pro-poor public social spending, measures the share of government spending that directly benefits the monetary poor in education, health and direct transfers. Measuring, analyzing and reporting on this indicator will help countries access the evidence needed to properly design, implement and finance policies to end poverty and achieve the other SDGs. This webinar presented details about the methodology behind the measurement and explained what data is required. It highlighted examples and best-practice cases, and pointed to existing tools and support available to produce estimates for this indicator.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This course will enable you to pick your next top data-science programming language: * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP UNSD
Description: Statistical Business Registers (SBRs) are often described as the backbone of economic statisticsas they provide the core infrastructure to support the collection of economic data and the production of economic statistics. They provide a coherent set of units and classifications to collect and compile data across all domainsand a consistent set of rules to maintain this set of units over time. SBRs are considered as the backbone for producing economic statistics that meet the increasing demand for better integratedcoherent and comparable statistics across countries and statistical domains. Inclusive and exhaustive SBRs are becoming an increasingly more important element of the statistical infrastructure for maintaining the relevanceresponsiveness and quality of economic statistics in order to measure the structure and dynamics of economic activity.
Description: This online course, presented by the Statistics Department, introduces participants to key CPI concepts and methods. The course provides an overview of key CPI concepts, definitions, and uses. It provides an overview of different index number formulas and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course also discusses the sources and methods for sampling areas, items, outlets, and varieties; treatment of temporarily and permanently missing prices; and updating and linking CPI data series. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: defining key concepts and uses of CPI data and how these influence the design of a CPI; meeting data users’ needs to ensure relevancy; calculating elementary and upper-level indexes; methods for sampling areas, items, outlets, and varieties; methods for handling temporarily and permanently missing prices, including adjusting prices for quality changes; and chaining and linking indexes with updated weighting structures. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs) and users of CPI data interested in understanding key concepts and compilation issues.
Description: The MAM-CoP secretariat is pleased to invite you to participate in the upcoming webinar. Title of the webinar: “Verbal autopsies to determine causes of death amongst adults in countries where vital statistics are lacking”, Date: Thursday, 7 March 2024 Time: 10:00 – 11:00 am (GMT) (please click to check your time) Venue: Online via MS Teams Registration link: (Please register here) Once you have completed the registration process, a meeting link will be generated for you to access the webinar. For more details about the content and objectives of the webinar, please refer to the attached flyer.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP
Description: This webinar will provide the participants with a clear understanding of the importance of measuring digital tradeand the conceptual framework for measuring digital trade whilst focusing on the fundamental concepts and statistical definitions. A variety of examples and practical applications will be shared by country representatives. The webinar will also emphasize the importance of digital trade statistics in evidence-based policy making.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+ via the graphical interface and R.
Target Audience: Official statisticians (including managers) interested in seasonal adjustment methods and have no specific knowledge on this subject.
Organizer(s): UNSD Ministry of Envronment Rwanda Global Program on Sustainability World Bank
Description: The Global Policy Forum on Natural Capital is the signature annual event of the Global Program on Sustainability of the World Bank. Co-organized with the United Nations Statistics Division, the Forum aims to connect users—primarily the investment community and policy makers—with both data and analytics, and data providers, to share knowledge and experiences on incorporating natural capital accounting and approaches in decision making. The 7th Global Policy Forum on Natural Capital, Implementing the Global Biodiversity Framework: Leveraging Natural Capital Data, Accounting and Analysis to Inform Policies, taking place in Kigali, Rwanda, will bring together governments and other relevant stakeholders to discuss the policies that will help with the implementation of the National Biodiversity Strategies and Action Plans (NBSAPs) and thus contribute to the achievement of the Kunming-Montreal Global Biodiversity Framework (GBF) goals and targets. Over two days, sessions will focus on and highlight the importance and need to leverage existing data and analytics on natural capital and ecosystem services, including natural capital accounting, to design such policies and actions.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP
Description: This course introduces the SEEA Central Frameworkthe international statistical standards for measuring the interactions between the environment and the economy. It is comprised of 5 modules. The first module introduces the SEEA. Modules 2 discusses accounting for physical flows while module 3 discusses accounting for environmental assets. The fourth module contains details on environmental activity accountscombined presentations and indicators. The last module contains an overview of subsystemsapplications and extensions.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims at providing a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts.The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP)) statistics, and who are familiar with the methodology of the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6).
Description: This course, presented by the IMF Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: Recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; Implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; Data dissemination and requirements of the World Banks Quarterly External Debt Statistics (QEDS) database.
Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.
Description: The United Nations Committee of Experts on Global Geospatial Information Management had recognized that to sustainably manage that significant portion of the Earth's surface that is covered by water - lakes, rivers and tributaries, deltas, seas, and oceans and all that it has to offer, governments will need to ensure that marine geospatial information management is fully integrated within the wider national digital information ecosystem for evidence-based policy development and decision making. Well managed and integrated marine geospatial information program nationally will be a necessity to meet the challenges of governance, planning, managing and coordinating resources, transportation, coastal resilience, recreation, and other aspects of the blue economy. The Operational Framework for Integrated Marine Geospatial Information Management (UN-IGIF-Hydro), a two-part document to leverage the guidance offered in the United Nations Integrated Geospatial Information Framework (UN-IGIF), provide practical guidance for countries to ultimately working towards the vision of the integrating marine geospatial information into the global geospatial information ecosystem and to enhance the ability to make informed decisions to support the preservation and management of the marine resources. At its thirteenth session in August 2023, the Committee of Experts, in decision 13/111, adopted the Operational Framework for Integrated Marine Geospatial Information Management comprising Part One - The Strategic Overview, and Part Two - The Strategic Pathways, and encouraged the Working Group to provide practical support for countries to extend the nine strategic pathways of the UN-IGIF into the hydro domain and the integration of marine geospatial information into the broader national geospatial information ecosystem. The Committee emphasized that it was strategically crucial for any national hydro or marine programmes to increase their value and recognition within the broader national geospatial information management programmes to support national development priorities, including the ability to address climate-related challenges and improve resilience, the land-sea interface, coastal zones and the pressing need to monitor sea level rise, recognizing their importance in mainstreaming the Blue Economy and achieving sustainable coastal resilience and development. The Working Group plays a leading role in marine geospatial information policies at the global level to support the wellbeing of billions of inhabitants reliant on sustainable inland water bodies and waterways, coastal zones, seas and oceans. The Working Group provides a forum for dialogue and coordination among Member States, and between Member States and relevant international organizations including the International Hydrographic Organization and the United Nations system to enhance global cooperation, advocate and improve the availability and accessibility of marine geospatial information. The Committee of Experts further noted that the Working Group would convene its sixth expert meeting with an international seminar in Indonesia in March 2024, jointly with the fifteenth meeting of the International Hydrographic Organization Marine Spatial Data Infrastructures Working Group and the 2024 meeting of the Open Geospatial Consortium Marine Domain Working Group.
Description: This webinar aims to explore cutting-edge approaches for handling sensitive microdata while preserving privacy. Experts will discuss state-of-the-art techniques, real-world applications, and collaborative efforts across international projects. Join us for insightful presentations, engaging discussions, and an open Q&A session.
Description: Composite indices are increasingly recognized as a useful tool for measuring complex and multidimensional phenomena, such as development, poverty, quality of life, well-being, globalization, competitiveness, freedom, and so on. Technically, a composite index is a mathematical combination of a set of indicators representing the different dimensions of a phenomenon to be measured. The idea of summarizing a complex phenomenon into a single number is not straightforward, as it implies both theoretical and methodological assumptions that must be carefully evaluated to avoid producing results of dubious analytic rigor. One of the main criticisms of composite indices is that their simple "big picture" results may lead users to draw simplistic analytical or policy conclusions. Methods for constructing composite indices are proposed, taking into account appropriate methodologies for different areas of application.
Description: Persons with disabilities are one of the most marginalized and excluded groups in society and face countless barriers globally, yet lack of data on the barriers and enablers of persons with disabilities remains. One way to address this is the wider recognition of citizen-generated data, including data efforts led by organizations of persons with disabilities, to complement official statistics to address critical data gaps. This webinar will provide (1) an overview of citizen-generated data and stakeholder collaborations and (2) case studies on how organizations of persons with disabilities and allies have led data design, collection, management, and use to fill critical data gaps on the experiences of persons with disabilities to complement official statistics.
Description: This talk will cover recent developments in the literature on small area estimation in developing countries from a practitioner’s perspective. It will consider the merits of non-traditional sources of auxiliary data, particularly geospatial data. It will also consider different statistical methods for estimation, software packages to carry out estimation, and propose a research agenda to fill knowledge gaps.
Organizer(s): UNWTO Statistik Austria INE Spain UNCEEA
Description: UN Tourism, Statistics Austria, the National Statistics Institute of Spain, are jointly organizing in collaboration with UNCEEA, a high-level side event titled "Measuring the Sustainability of Tourism: Bridging the Gap between Policy and Statistics". This event will be held on Tuesday, 27 February 2024, at the United Nations Headquarters in New York, under the auspices of the 55th session of the United Nations Commission. Back on the agenda of the United Nations Statistical Commission since 2017, tourism statistics has undergone important developments amidst particularly challenging times for the sector. This side event will introduce the Statistical Framework for Measuring the Sustainability of Tourism, present pioneering country experiences that showcase its relevance and feasibility, and reflect on the lessons learnt from the integration of economic, environmental and social dimensions that characterize the framework.
Description: The event "New challenges for national statistical offices for environment and climate change statistics: Role of the SEEA" is organized as a side event of the 55th session of the United Nations Statistical Commission (UNSC) will tentatively be held on Tuesday , 27 February 2023, from 13:15 to 13:30 in New York. This side event will review new and emerging demands for environmental and economic information that are being faced at global, regional and national levels. It will identify ways that the statistical community can address these demands through existing SEEA frameworks, as well as identify areas which could be addressed through an update of the SEEA Central Framework (CF) in order to make the SEEA CF more responsive to the new demands.
Description: The first meeting of the fourth series of seminars, “Case studies on food and agricultural statistics” in conjunction with La Sapienza, will take place on Monday, February 26 at 6:00 p.m. in room 34 (fourth floor) of the Department of Statistical Sciences.
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET Centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: This course, presented by the Statistics Department, deals with identification and assessment of elementary indicators and techniques for combining them into a single index of economic activity to track national trends. Flash estimates or indexes of economic activity bring together a range of elementary indicators to give timely general measures of economic activity. These measures give policy makers useful information that complements annual and quarterly GDP estimates, which are more comprehensive but usually only available after substantial lags, and provide a more comprehensive picture than individual monthly and quarterly indicators, which are up-to-the-minute but reflect just a portion of the total economy).This course is for actual or potential compilers of short-term indicators in central banks and statistical offices and for those who collect data for monthly indicators. Participants are expected to work with their own monthly and quarterly time series during the course. These indicators will be used in the practical session as the basis for experimental estimates.
Target Audience: Officials responsible for compiling short-term or monthly economic indicators in central banks and statistical offices.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: Introducing the participants to the Python language and ecosystem Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization)
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: The High-level Forum on Official Statistics, an annual event of the Statistical Commission, is a pivotal event commemorating the 30th and 10th anniversaries of the adoption of the Fundamental Principles of Official Statistics (FPOS) by the UN Statistical Commission and the General Assembly, respectively. This forum, more than just a seminar, is a tribute to the significant milestones achieved and a proactive step towards shaping the future of official statistics, guided by the FPOS. Titled 'Empowering Official Statistics - Upholding the Fundamental Principles to Stay Relevant,' this High-level Forum represents the culmination of a series of global initiatives, including expert consultations, collaborations with statistical associations, webinars, workshops, and international conferences. These efforts have been crucial in enhancing the understanding of the FPOS within an ever-evolving data ecosystem, setting the stage for the 55th session of the Statistical Commission to celebrate the global endorsement of these principles. The event will be structured into two main segments. The first segment, 'Celebrating Milestones,' will explore the genesis and historical importance of the FPOS in fostering trust and credibility in official statistics. Esteemed speakers will provide thoughtful interventions, tracing the journey of the FPOS and examining their impact on monitoring Sustainable Development Goals and other regional and national development policies, emphasizing how the FPOS have been instrumental in shaping national statistical systems and establishing data integrity and public confidence in statistical outputs over the years. The second segment, 'Shaping the Future of Official Statistics,' will begin with introductory speeches, followed by a dynamic panel discussion. This segment will embark on an exploratory journey, examining how the FPOS can guide Official Statistics in navigating challenges and seizing opportunities in a rapidly changing data ecosystem, highlighting its role as a reliable and adaptable source of information. The discussion will also consider how the Terms of Reference for the Independent Advisory Board and the commented outline of the revitalized FPOS implementation guidelines, submitted for discussion and approval at the 55th session of the Statistical Commission, might contribute to their broad implementation. The High-level Forum will conclude with an open debate, offering a unique opportunity for attendees to engage with the topics, share insights, and contribute to the dialogue.
Citizen participation throughout the data value chain is increasingly recognized in addressing data gaps for marginalized communities and enhancing data fairness, inclusiveness, openness, accountability and transparency. As the global community strives to meet the Sustainable Development Goals and increase the impact of data, the insights derived from the lived experiences and perspectives of citizens are indispensable in decision-making. However, leveraging citizen data and making it fit for policymaking encounters various challenges. These include the lack of trust between state and non-state actors, data quality and sustainability, and capacity constraints faced by civil society organisations and communities in data production.
Description: The Data For Now initiative, with technical support from UN-Habitat and contributions from ESCWA, organized a series of training sessions to strengthen technical knowledge and practical capabilities of the relevant members of national statistical system in Jordan to calculate and produce SDG indicators 11.3.1 and 11.7.1. These indicators were chosen by Jordan Department of Statistics (DoS) in close cooperation with all stakeholders line ministries and government departments.
Description: The Friday Seminar on Emerging Issues was established as a space for the global statistical community to explore emerging issues. It is a place which serves as a learning environment where statisticians come together with specialists and experts to explore innovative topics and address the interplay between official statistics and the broader data ecosystem. Data governance can be described as the policies, guidelines, standards, procedures and practices that regulate the generation, management, use and reuse of data. It addresses the overarching vision for data within a system and how it is shared, accessed and integrated while mitigating risks and maintaining trust. The implementation of data governance strategies differs across domains and is dependent on national practices. It is essential for the global statistical community as the data space evolves in a dynamic fashion to discuss different ways of handling data governance and explore commonalities that can help define the role and the strategies of the national statistical offices within the larger landscape of data governance across the whole system. Data governance has been discussed across various groups at the national and international levels. It applies to data within the private and public sectors and on how data is exchanged between them. The Statistical Commission focuses on official statistics and is the primary body for the coordination of the global statistical programmes in general and of the United Nations statistical and data-related system. In 2022, the Economic and Social Council of the United Nations requested the Commission to play the role as the apex for discussions, knowledge exchange and sharing of best practices on statistics and data across all domains, to develop and maintain international statistical standards and norms, tools and methodologies, to support and bolster the development of sustainable national statistical systems, to develop and build the capacity of national systems, to advocate for the professional community of official statistics, and to ensure continued innovations to adapt to the changing statistical and data system. The 2022 update to the terms of references of the Commission emphasizes the need for technological innovations, the promotion of practices for the generation of information aligned with principles that ensure coherence, comparability, data privacy, among others, and the importance to build partnerships. This calls for a better, more thorough understanding of how governance of data applies across the system.
Description: The United Nations Conference on Trade and Development (UNCTAD) and the United Nations Office on Drugs and Crime (UNODC) are co-custodians of the Sustainable Development Goal (SDG) indicator 16.4.1 on the “total value of inward and outward illicit financial flows”. UNCTAD, in collaboration with the Economic Commission for Africa (ECA), has implemented a UN Development Account project from 2018 to 2022 on “Defining, estimating and disseminating statistics on Illicit Financial Flows (IFFs)”, in 11 countries on the African continent, including Ghana, Namibia, and Zambia. The project focused on developing a statistical methodology to estimate IFFs and resulted in the finalisation of the UNCTAD-UNODC IFF Conceptual Framework in 2020 and the UNCTAD Methodological Guidelines in 2021, to measure tax and commercial IFFs, and tested by all pioneering countries. The project and related guidelines supported the countries to assess the types of IFFs relevant to their national contexts. Countries pilot tested between one and three of the methods to measure different types of IFFs, including trade misinvoicing, profit shifting and offshore wealth. In parallel, UNCTAD Africa, Least Developed Countries (ALDC) Division was focusing on strengthening research and data analysis skills in selected pioneering countries and developing targeted policy measures linked to specific IFF activities. These pioneering countries have paved the way for the approach to measure IFFs, providing a wealth of knowledge, lessons learned and resources such as terms of references, tools and guidelines. At the end of the project, more work was necessary to confirm the preliminary estimates and extend them to other types of IFFs towards reporting data on the Global SDGs Indicator Database for 16.4.1. At half-way point through the 2030 Agenda and in the conditions of compounding crises, it is more urgent than ever to pursue SDG target 16.4 to significantly reduce illicit financial (and arms) flows by 2030, strengthen the recovery and return of stolen assets and combat all forms of organized crime. The new project proposes to refine preliminary estimates, to pilot test new methodologies and report results on the Global SDGs Database, as well as to link estimates with policy formulation and action. Objectives The objectives of the online regional workshop are as follow: Kick-off the project and introducing the different entities; Present the project components, objectives, activities and timeline; Countries share expectations on measurement and policy pillars, confirming their national objectives. Participants UNCTAD Statistics; UNCTAD ALDC; Ghana Statistical Service; Bank of Namibia; Zambia Statistics Agency; other relevant national institutions in countries; ECA (tbc); UN Regional Coordinator Offices (tbc).
Organizer(s): UN-GGIM: Europe EuroGeographics National Geographic Institute Belgium
Description: At its Thirteenth Session, the Committee of Experts welcomed the report of the Working Group on Policy and Legal Frameworks for Geospatial Information Management and its continuing efforts to address the Committee's issues related to authoritative data. The Committee also appreciated the efforts of the Working Group to engage and collaborate with other functional groups and key partners of the Committee of Experts and to promote and raise awareness on the importance of sound and robust policy and legal frameworks for achieving the societal, environmental, and economic benefits from geospatial information management. The Committee endorsed the paper entitled "Authoritative data in an evolving geospatial landscape: an exploration of policy and legal challenges", intended as a policy and legal guide to help national geospatial entities to better produce, sustain and govern the use of geospatial information that is deemed authoritative and trusted. The paper promotes the concept of a continuum of "Control versus Trust" (figure below) when considering authoritative data governance framework according to national circumstances. Given the increasing global challenges and the related need for reliable data, the Committee acknowledged the Working Group's planned exploration of fit-for-purpose authoritative geospatial data and applications in crises and disasters is timely. The Committee of Experts further noted the convening of the next expert meeting of the Working Group in Belgium in February 2024 in partnership with the United Nations Global Geospatial Information Management Regional Committee for Europe (UN-GGIM: Europe) and EuroGeographics, to be held back-to-back with the EuroGeographics Policy Knowledge Exchange Network (POLKEN) to maximize the participation of and input from Member States, relevant stakeholders, and policymakers. The Second expert meeting of the Working Group on Policy and Legal Frameworks on Geospatial Information Management is hosted by the Nationaal Geografisch Instituut (National Geographic Institute) of Belgium in partnership with the United Nations Global Geospatial Information Management Regional Committee for Europe (UN-GGIM: Europe) and EuroGeographics. The second expert meeting will be held back-to-back with the meeting of EuroGeographics's Policy Knowledge Exchange Network to maximize the participation of and input from Member States, relevant stakeholders, and policymakers. This second expert meeting will also incorporate the workshop on "Fit-for-purpose authoritative geospatial data for crisis".
Source: Eurostat (Data extracted on: 24 Jan 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to offer theoretical overview of SHA Methodology, but also to give practical approach to build a health data questionnaire. The course will provide to the participants overview of current SHA requirements.
Target Audience: The course is targeted at statisticians working on health administrative data from National Statistical Institutes or Ministries of health/welfare.
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in developing and using more advanced compilation techniques in areas including supply and use tables (SUTs), input-output tables, price and volume measures, and thematic satellite accounts. The course starts with SNA framework and will discuss how these accounts can be extended to address specific user needs. The main lectures and workshops include: * Conceptual framework of the SNA; * Output of specific industries; * SUTs and input-outputs tables; * Price and volume measurement; * Estimating consumption of fixed capital; and * Thematic satellite accounts, with a focus on topics covered in the update of the 2008 SNA (e.g., informal economy, labor accounts).
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts statistics.
To prepare for the discussion on the Copenhagen Framework on Citizen Data at the upcoming 55th session of the United Nations Statistical Commission, this side event will provide an opportunity for the Collaborative to present the draft Framework and the roadmap for its implementation; and solicit input from national statistical offices (NSOs), civil society organisations (CSOs) and a broader range of stakeholders. More specifically, the event will
Foster an exchange and solicit feedback on the Copenhagen Framework on Citizen Data and the roadmap for its implementation;
Share experience of the production and use of citizen data for policy and impact;
Expand the outreach of the Framework and gather interest from a variety of stakeholders on leveraging the power of citizen data.
Description: يعتبر تأمين الغذاء من التحديات الكبرى التي تواجهها المنطقة العربية والذي يتفاقم في المستقبل مع ضغط التغيرات المناخية وتزايد الطلب على المواد الغذائية وندرة الموارد خاصة منها المياه وتدهور الأراضي الزراعية اضافة الى العادات والنظم الغذائية التي تأثرت بشكل كبير بالعولمة والانفتاح على الأسواق الخارجية وتحسن مستوى معيشة السكان. ويعتبر توفر المعلومة الإحصائية المرتبطة بالأمن الغذائي مفتاح القرارات الذي ترتكز عليها الجهات الحكومية وكذا تستعملها مختلف الجهات ذات المصلحة في إبداء الرأي في القضايا التي تطرح عنها. ويشكل توفر المعطيات الإحصائية الخاص بالأمن الغذائي تحديا كبيرا للمنظومات الإحصائية الوطنية في مختلف القطاعات وفي كل الدول.
Description: This conference on External Statistics brings together users and compilers of external statistics. It is organised jointly by the Irving Fisher Committee on Central Bank Statistics (IFC) of the Bank for International Settlements, the European Central Bank (ECB) and the Banco de España (BdE). The event aims to foster regular discussions and sharing of experiences within the central banking community as well as with other interested stakeholders and users to identify the main analytical needs, prioritise data collections and address upcoming challenges in external statistics. To this end, the agenda will include keynote speeches from influential policymakers and academics, round table discussions and thematic sessions, with inputs both from analysts and compilers. Following its first edition held in 2020 (Lisbon, Portugal), this conference will focus on the recent factors that have been reshaping the landscape for external statistics: in particular, the consequences of the pandemic and its aftermath, digitalisation, geo-political tensions and growing attention to environmental issues. The event will also be an opportunity to shed light on important statistical developments affecting the measurement of the external sector, namely improvements in compilation methods, the use of multiple information sources, the growing importance of micro data and the ongoing review of international statistical standards, particularly the update of the Balance of Payments Manual (BPM7).
Description: The members of the Data Science Leader's Network (DSLN), under the umbrella of the Committee of Experts on Big Data and Data Science for Official Statistics, have agreed to develop a DSLN Playbook with the objective to provide a comprehensive guide for integrating data science into the work of National Statistical Offices, and to offer a systematic approach to piloting projects, pooling resources, documenting successes, and overcoming institutional barriers. The "playbook" format has been chosen as a way of capturing (in a user-friendly manner) a structured set of practical guidelines designed to help NSOs achieve specific objectives towards the mainstreaming of data science in the day-to-day business of official statistics, providing both strategic and tactical guidance. It aims to be a practical, hands-on resource that can be easily consulted and followed by practitioners at the frontlines of statistical work, with step-by-step procedures, best practices, checklists, and real-world examples that help a team understand not just the "what" but also the "how" of implementation. The event will be an opportunity to present and discuss the progress towards the development of the Data Science Playbook, based on the outcome of the 2nd Sprint of the Data Science Leaders' Network, which took place in Dubai from 22 to 24 January, as part of the International Seminar on Data Science for the Statistical and Transport Communities.
Jointly organized by the Statistics Division and Division of Inclusive Social Development, DESA, the side event aims to explore the impact of citizen engagement across the data value chain, for highlighting social issues, shaping policy, and driving change, particularly in marginalized and underrepresented communities. The event will also provide a comprehensive overview of the Copenhagen Framework on Citizen data, a major effort initiated by the UN Statistics Division with its partners within the Collaborative on Citizen Data, to harness the power of citizen-generated data to foster social justice and reduce inequality. The event will also call on partners to join the effort to implementing the Framework.
Source: Eurostat (Data extracted on: 24 Jan 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics.
Description: In this webinar, Ginette Azcona and Antra Bhatt of UN Women will share data and insights from the Progress on the Sustainable Development Goals: The SDG Gender Snapshot 2023 Report. The presentation will cover key insights from UN Women and UNDESA’s Progress on the Sustainable Development Goals: The SDG Gender Snapshot 2023 Report which provides a comprehensive analysis of gender equality progress across all 17 Sustainable Development Goals (SDGs). This year’s report shows that halfway to the end point of the 2030 Agenda for Sustainable Development, the world is failing to achieve gender equality, making it an increasingly distant goal. If current trends continue, more than 340 million women and girls will still live in extreme poverty by 2030, and close to one in four will experience moderate or severe food insecurity. Growing vulnerability brought on by human-induced climate change is likely to worsen this outlook, as many as 236 million more women and girls will be food-insecure under a worst-case climate scenario. The presentation will discuss these key findings as well as present data and insights on all 17 SDGs and also focus on the need for an integrated, holistic approach to advancing gender equality, involving multistakeholder collaboration and sustained financial backing including through costing of SDG 5.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP IMF
Description: The Statistics Department (STA) of the International Monetary Fund (IMF)is implementing the “Environment and Climate Change Statistics Capacity Development Program”supported by the State Economic Cooperation (SECO). The program is oriented towards assisting beneficiary countries in the development and dissemination of indicators most relevant to their policy needs. Accordinglytechnical assistance will focus on developing one or two indicators that reflect the most urgent data needs of the targeted countries; and encompass the use of internationally agreed methodology or testing methodology underdevelopment. The program will build capacity in the project countries to compile select indicators through the organization of workshopstrainingsand targeted hands-on technical assistance.
Description: This course, presented by the Statistics Department, provides practical advice on compiling and disseminating the international accounts (balance of payments and IIP) statistics based on the BPM6 Compilation Guide (the Guide). The purpose of the course is to demonstrate how the conceptual framework described in the BPM6 may be translated into practice. The course consists of a series of lectures, workshops, and discussions on methods for compiling international accounts. They focus on compilation practices, including data sources that international accounts can draw on, as well as complex methodological and compilation issues related to specific balance of payments and IIP components and other issues that cut across accounts. Participants have the opportunity to discuss compilation challenges they have encountered and gain insights into the analytical uses of the international accounts.
Target Audience: Officials whose main responsibility is the compilation of balance of payments and/or international investment position (IIP) statistics. Participants should be familiar with the methodology of the sixth edition of the Balance of Payments and International Investment Position Manual (BPM6).
Title in Arabic: العمل بالنموذج العام للعمل الإحصائي (GSBPM)
Organizer(s): AITRS
Description: تشكل العصرنة التنظيمية وتدبير الجودة الإحصائية رهانين وتحديين هامين بالنسبة لمكاتب الإحصاء العربية بشكل خاص ولأنظمتها الوطنية للإحصاء بصفة عامة. اذ تزايد الطلب على المعلومات الإحصائية بجودة عالية وبتدفق مستمر في إطار تدبير وأخذ القرارات الناجعة للبرامج العالمية والجهوية والوطنية، وخاصة برنامج اهداف التنمية المستدامة، وبرامج التنمية القطرية في مختلف المجالات. هذا ويشكل تبني أدوات تدبيرية حديثة معتمدة عالميا من طرف المنظمات الدولية المشتغلة بالمجال الإحصائي، احدى الركائز الأساسية لعصرنة سلسلة الانتاج وتحقيق الجودة المطلوبة في العمل الإحصائي. وفي هذا الإطار يشكل النموذج العام للعمل الإحصائي GSBPM احدى الأدوات الأساسية التي طورت من طرف منظومة الإحصاء الدولية والتي اعتمدت ويتم العمل بها من طرف العديد من أجهزة الإحصاء الوطنية في العالم، كل حسب سياقه المؤسسي ومستوى النضج التنظيمي والرقمي لها. وبناء على ما سبق، أصبح حيويا بالنسبة لأجهزة الإحصاء الوطنية العربية العمل بهذا النموذج الذي سيمكن، ان طبق بشكل ذكي ومتدرج، من تطوير العمل بها، وتتبع الجودة الإحصائية بارتباط به، كما سيمكنها أيضا من تدبير البيانات الوصفية التي تعتبر من أهم أعمدة تشكيل وتوثيق المعلومات حول العمليات الإحصائية، خلال جميع مراحل سلسلة الإنتاج الإحصائي. تماشيا مع استراتيجية واهداف المعهد العربي للتدريب والبحوث الإحصائية في مجال تعزيز القدرات الإحصائية للدول العربية واستنادا على الحاجة الماسة والمعبر عنه على مستوى الدول لتكوين كوادرها على المناهج والأدوات المعيارية المرتبطة بتنظيم العمل الإحصائي على أسس حديثة تمكن من تجويد العمل الإحصائي وتبادل التجارب بين الدول والمنظمات الدولية حول المناهج، تأتي هذه الورشة التدريبية لدعم قدرات الأجهزة الإحصائية العربية في العمل بالنموذج العامل للإنتاج الإحصائي GSBPM.
Description: This side event of 55th session of the United Nations Statistical Commission, aims to showcase the experiences and lessons learned from the Global Training on Small Area Estimation across three key regions: Latin America and the Caribbean, Asia Pacific, and Africa.
Description: The Food and Agriculture Organization of the United Nations is organizing a special event to launch a new data domain on food and diet on FAOSTAT, the world’s largest portal on food and agriculture statistics.
Description: The use of latent variable models has become common practice in estimation from complex surveys, particularly to address small area estimation problems and non-sampling errors. In their basic definition, the assumption of Normality is made for the variable of interest and/or for the random effect(s) introduced to account for unobserved heterogeneity. In this talk, I will discuss the use alternative latent variable models, such as latent class models and latent trait models in estimation from complex surveys. Latent class models are useful tools to deal with (possibly non-ignorable) unit nonresponse to build better response homogeneity groups and using, for example, generalized calibration, when measurement error on the response variables is suspected. Latent trait models can be used to obtain a measure of the "attitude to respond" to a survey that can be used as a covariate in response propensity estimation. Finally, these models are very useful when the variable of interest is not directly observable, such as disability, social integration, educational poverty, and/or measured with error by means of a set of binary/categorical variables. I will present applications of these methods to Italian Household Surveys, such as the Survey on Households Income and Wealth and the survey on Health Conditions and Appeal to Medicare, and discuss their use to handle the process of integration of administrative and survey data for the production of official statistics.
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in the compilation of annual gross domestic product both at current prices and in volume terms using the production and expenditure approaches, in support of better policy-making and surveillance. The course starts with an overview of the system of national accounts, presenting the sequence of accounts for transactions and other flows as well as balance sheets, with a focus on the framework of the 2008 SNA. It covers the main concepts involving transactions, other economic flows, stocks, institutional units, classifications, and main macroeconomic aggregates measured by the system. The main lectures and workshops include: sessions on the production account covering the definition and measurement of output, intermediate consumption, and value added; valuation issues; and the treatment of particular industries; source data and issues in the compilation of GDP by production and expenditure approaches; deflators and derivation of volume measures of GDP; and specific issues related to goods and services transactions, including supply and use framework, inventory valuation adjustment, consumption of fixed capital, non-observed and informal economy, global supply chains, and the digital economy. Emphasis is also placed on sharing country experiences among the participants, both informally and via specific country case study sessions. Asynchronous Component — January 15–19, 2024 This component will comprise five modules and will focus on the conceptual issues that will be performed by the participants after each synchronous part. The asynchronous component will be supplemented with assigned readings and references. These modules will be made available to the participants at least five days before the start of the synchronous classes. Participants will be required to take a pre-course quiz. Successful completion (i.e., a passing grade) will not be a pre-requisite for participating in the synchronous component. The results of the quiz will be only used by the instructors to determine the knowledge of the participants. Synchronous Component — January 29–February 9, 2024 The synchronous component will focus on the practical compilation of issues and topics that may require greater instructor input and feedback. It will comprise lectures, question and answer sessions and practical workshop exercises. The lectures will be developed using existing lecture presentations and the scripts that were prepared for the online course. The lectures will be presented in 30 minutes to 45-minute slots. Each presentation will be followed by a brief exercise or question-answer session. Participants will be invited to present case studies of practical problems or proposed solutions to practical problems. These issues could be related to source data or compilation. Participants will also be invited to respond to some practice questions in discussion forums. This will be followed by a workshop where the responses to these questions will be discussed, along with the correct answers.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts data.
Source: Eurostat (Data extracted on: 24 Jan 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: This course is an eye-opener, democratizing the ethical development and use of AI to empower every human to achieve more Understand the working principles of Artificial Intelligences (AI) Get to know the processes and tools involved in creating an AI Get to know impactful use cases of AI Understand the risks and challenges related to AI Unlock entirely new data sources for science by Leveraging existing AIs (without coding) Training new custom AIs (with some coding)
Target Audience: Statistical production units and methodologist of NSIs.
Title in Arabic: الأرقام القياسية الخاصة بالانتاج الصناعي
Organizer(s): AITRS League of Arab States
Description: تندرج سلسلة هذه الورشات التي ستتعرض الى الرقم القياسي لأسعار المستهلك والإنتاج الصناعي وأسعار المنتجات الصناعية وأسعار الجملة في إطار تنفيذ برنامج المعهد التدريبي لعام 2024 الذي صادق عليه مجلس الأمناء في دورته الثامنة والأربعين وكذلك برنامج ادارة الاحصاء وقواعد المعلومات بجامعة الدول العربية في هذا المجال. وتتمثل دواعي تنظيم هذه الورشات بالأساس في الدور المهم الذي تلعبه الأرقام القياسية في اعمال الأجهزة الإحصائية الوطنية لتركيب مؤشرات في مختلف المجالات وكذلك للتطور السريع في كيفية معالجة بيانات الأرقام القياسية من حيث المنهجيات والتصانيف ومصادر البيانات وطرق جمعها. وتاتي هذه الورشة بواقع جلستان للفترة 29-30 يناير / كانون الثاني 2023: حول الأرقام القاسية الخاصة بالانتاج الصناعي سواء أسعار منتجين صناعيين وكذلك كميات الانتاج الصناعي وآلية جمع وتبويب ومعالجة البيانات ومعادلات الاحتساب الخاصة بهذين المؤشرين.
Source: World Bank (Data extracted on: 26 Jan 2024 )
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Organizer(s): World Bank
Description: This event is part of the 55th Session of United Nations Statistical Commission (UNSC) side events and will focus on the UNSC’s “Data and indicators for the 2030 Agenda for Sustainable Development” agenda item. The World Bank’s Development Data Group is organizing the event. Since 2013, the World Bank has monitored “shared prosperity” as one of its Twin Goals alongside “ending extreme poverty”. This goal aims to provide an “alternative to average income as the benchmark for progress” judging progress by comparing how much the growth is reaching the least well-off in society. The new corporate mission indicators attempt to better capture the growth of the least well off in society and track the number of countries with high inequality. The event will introduce two new indicators to measure shared prosperity and inequality. The World Bank proposed these new corporate mission indicators at the Annual Meetings in October 2023 to replace the current World Bank measure of shared prosperity (“boost growth in the bottom 40%”). The first measure is the prosperity gap, which captures the average factor by which individual incomes need to increase to attain a prosperity standard of $25 per day. It is a measure that gives increasingly greater weight to poorer people, providing statistical support to the notion of “leave no one behind”. The second measure is tracking the number of countries with high inequality, defined by the Gini index.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP ESCAP
Description: The United Nations System of National Accounts (2008 SNA) manual represents the flagship of international economic accounting standards across all macroeconomic statistics disciplines. In factthe Macroeconomic statistics are expressed in terms of a set of conceptsdefinitionsclassificationsand accounting rules that comprise the internationally agreed-upon standard for measuring different areas of economic statistics.
Description: Session Agenda Time Agenda 5 mins Welcome Remarks - Rachael Beaven, UN ESCAP 10 mins Presentation on Data Governance Framework – Jonathan Palmer, Statistical Consultant 30 mins Panel Discussion & dialogue- two rounds of questions to panel members 15 mins Q&A 3 mins Wrap up and Closing - Moderator Data Governance in Asia and the Pacific .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } , Stats Café Home: Upcoming events Concluded events Data governance Homepage
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. Course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, and exercises covering practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) and the derivation of the respective surveys for the CB, ODCs, and the consolidated DCs sector. Participants should be prepared to ask questions and discuss challenges related to MFS compilation practices. This course is an abbreviated version of the longer, introductory MFS course traditionally offered by STA in-person.
Target Audience: Central bank officials and officials from financial regulatory agencies responsible for compiling monetary statistics.
Description: This in-person Aguascalientes expert consultation and meetings with expert representatives of Member States and relevant stakeholders seek to review and enhance the inclusive, integrated, self-paced, country-owned and country led approach to strengthen and enhance national geospatial information management arrangements, resources and capacities towards accelerating implementation of the Committee's adopted norms, frameworks, principles and guides for the achievement of the SDGs according to national circumstances. It will engage and consult with the Bureau and the Expanded Bureau of UN-GGIM, the High-level Group of the Integrated Geospatial Information Framework (HLG-IGIF) and contributing countries and partners from the SDG Data Alliance. It will incorporate the formal meeting the Expanded Bureau of UN-GGIM, the third plenary meeting of the HLG-IGIF and the meeting and workshops of the SDG Data Alliance. These formal meetings will allow the Expanded Bureau, the HLG-IGIF, and key contributing countries of the SDG Data Alliance to engage and consult on the implementation of the UN-IGIF and discuss upcoming priorities for strengthening and enhancing geospatial information management arrangements for accelerating the implementation of the SDGs. The formal meetings will primarily address strategic strategic directions and priorities of the Committee of Experts to ensure a lasting impact to support Member States in enhancing geospatial information management arrangements for accelerating the implementation of the SDGs. Topics will include considerations of the work programs of the Committee of Experts and its Secretariat, the work and achievements of the HLG-IGIF, the contributions of the Centers of Excellence, the implementation of the UN-IGIF at the country-level through the SDG Data Alliance, the Seventh High-level Forum on Global Geospatial Information Management, the future geospatial information ecosystem, and the new agenda item on climate and resilience. There will also be a number of workshops embedded within the program on strengthening and enhancing the effectiveness of the Committee of Experts, particularly for the achievement of its operations focused on the SDGs and the UN-IGIF, to strengthen and ensure its continued effectiveness and benefits to all Member States.
Organizer(s): UNSD FCSC United Arab Emirates Road & Transport Authority United Arab Emirates
Description: Integrating data science into the production of official statistics to inform and enhance efficacy of policy decisions, with a special focus on the transport sector. Get practical insights into human-centric transformation of transport information systems and see how modern transportation information systems play a pivotal role in designing and implementing sustainable transportation policies utilizing new data sources and technologies. The second sprint of the Data Science Leaders Network will focus on developing a detailed outline of a playbook to integrate data science into National Statistical Offices. The International seminar will also feature a workshops on Mobile Phone Data in transport statistics and hands-on GIS training for SDGs.
Title in Arabic: الرقم القياسي الخاص بأسعار المستهلك
Organizer(s): AITRS League of Arab States
Description: تلعب الأسعار دورا أساسيا في نمط واتجاهات التجارة الدولية وتسترشد غالبية الدول النامية منها والمصنعة على حد سواء بالأسعار وآلية تغيراتها في وضع توزيع اقتصادي لاستثماراتها المختلفة. كما تعتمد هذه الدول على الأرقام القياسية لأسعار المستهلك وكذلك تكاليف المعيشة في تعديل وتحديد الرواتب والأجور. وانطلاقا من هذه الأهمية للأسعار، تقوم الأجهزة الإحصائية في مختلف الدول بجمع بيانات الأسعار بصورة دورية وبدراسة أسعار السلع المختلفة المتداولة في أسواقها المحلية بصورة خاصة بالإضافة إلى واقع الأسعار بالبلدان المجاورة والدول الأخرى. وتاتي هذه الورشة بواقع جلستان للفترة 22-23 يناير / كانون الثاني 2023: حول الرقم القياسي الخاص بأسعار المستهلك وآلية جمع وتبويب ومعالجة البيانات ومعادلات الاحتساب الخاصة بالرقم القياسي لأسعار المستهلك كذلك آلية احتساب التضخم (Inflation)والتضخم الأساسي Core Inflation.
The United Nations Statistics Division cordially invites you to the webinar 'Advancing Official Statistics - Celebrating Milestones and Shaping the Future of FPOS,' held remotely on January 18 from 09:00 to 10:30 New York Time. This event marks the culmination of a series of global engagements, which included consultations with experts, statistical associations, webinars, workshops, and international conferences. These initiatives have been aimed at deepening the understanding of the Fundamental Principles of Official Statistics (FPOS) within a rapidly changing data ecosystem, paving the way to the 55th session of the Statistical Commission, where the global adoption of these principles will be celebrated.
This webinar will feature a dynamic panel discussion. Following a brief introduction, we will embark on an exploratory journey covering key topics such as the genesis of the FPOS, their relevance in today's fast-evolving data landscape, as well as success stories and challenges in implementation. The discussion will also delve into how the Terms of Reference for the Independent Advisory Board and the commented outlines of the revitalized FPOS, submitted for discussion and approval at the 55th session of the Statistical Commission, might contribute to their broad implementation. The panel will be followed by an open debate, offering a unique opportunity for attendees to engage with the subjects, share insights, and contribute to the dialogue.
Senior experts, including Jean-Louis Bodin, Ximena Clark, Norah Madaya, Shailja Sharma, and Hallgrimur Snorrason, will lead our exploration, responding to your questions and reflecting on your contributions.
Please use the following link to register for the event: https://events.teams.microsoft.com/event/cdcb60d8-3da6-4210-98ef-51bcc5c10ab1@0f9e35db-544f-4f60-bdcc-5ea416e6dc70
Title in Spanish: Taller para la generación de una hoja de ruta para la integración de información estadística y geoespacial de Costa Rica
Organizer(s): ECLAC INEC Costa Rica AI Generated
Description: La definición de una hoja de ruta permite avanzar en el proceso de integración de la información estadística y geoespacial siguiendo las recomendaciones de las Naciones Unidas.
Description: This course, presented by Statistics Department, is based on the conceptual framework of the 2008 System of National Accounts (2008 SNA). It covers advanced methodological and practical issues related to the compilation of the sequence of accounts of the SNA (current and capital accounts, financial accounts, other changes in volume of assets accounts, revaluation accounts, and balance sheets) by institutional sectors. The course also examines the linkages between institutional sectors as a basis for establishing from-whom-to-whom accounts. The aim of the course is to provide participants with the necessary skills to compile—or further enhance—their country’s institutional sector accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues, workshops sessions on practical compilation issues, discussions on emerging financial issues such as fintech and crypto assets. It reviews case studies involving new applications of ISA such as household distributions to examine income, consumption and wealth accumulation by various cohorts and intergenerational transfers and pensions. The myriad ways in which the ISA supports economic policy is also examined. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral institutional sector accounts and balance sheets, examine potential data sources for the compilation of annual and quarterly ISA, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral institutional accounts and balance sheets.
Target Audience: Officials whose main responsibility is compiling national accounts, including financial accounts statistics and balance of payments statistics (specifically responsible for the sectoral accounts, household distribution accounts and accounts on a from-whom-to-whom basis), who are employed by national statistical agencies and central banks.
Description: This course, conducted by the IMF SARTTAC deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and on the practical aspects of compiling public sector debt data. Basic concepts, accounting principles, and detailed classifications are discussed in the context of methodology harmonized with government finance statistics and the system of national accounts. The course examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics. It also deals with reporting debt data to the IMF and the World Bank. The course is organized around a series of case studies.
Target Audience: Officials whose main responsibility is compiling public sector debt statistics.
Title in Arabic: الأرقام القياسية وأنواع الأسعار ومؤشراتها والمنهجيات
Organizer(s): AITRS League of Arab States
Description: تعد الأرقام القياسية للأسعار من أهم المؤشرات الاقتصادية في كافة دول العالم على اختلاف أنظمتها، وخاصة مع سرعة التقدم التكنولوجي والمعلوماتي حيث أنها تعطي ايضاحا بسيطا ومختصرا عن كم هائل من البيانات وتربط بينها عبر الأزمان و الأمكنة المختلفة، مما يساهم ويساعد في فهم الحاضر وتوقع أحداث المستقبل. كما تستخدم هذه الأرقام في مجالات واسعة ومتعددة في الاقتصاد الوطني على غرار الحسابات القومية والتجارة الخارجية وقياس مستوى عيش الأسر. من ناحية أخرى، توفر الأرقام القياسية للمخططين وصناع القرار وسائر المستخدمين بيانات موجزة وفاعلة تلبي احتياجاتهم لإدارة شؤونهم ورسم سياساتهم في مختلف المجالات الاقتصادية والاجتماعية، إضافة إلى تحليل الواقع الاقتصادي القائم تاتي هذه الورشة حول الأرقام القياسية وأنواع الأسعار ومؤشراتها والمنهجيات المختلفة ومنافع وعيوب كل منها، وكذلك التسلسل والربط والتطرق الى مواضيع أولية وتعريفية وآلية تركيب الأرقام القياسية والطرق المستخدمة في ذلك. مع الاشارة الى التحديثات التي تمت على كل طريقة مؤخرا، كما سيتم التطرق الى دراسة المقارنات الدولية للأسعار .
Description: The International Association of Survey Statisticians (IASS) presents this short auto-instructional course, including: introductory videos; and course notes with theoretical lessons, followed by tutorials for practical computer sessions in R, and computer workshops. In the practical sessions, participants will conduct tasks using the methods and software presented. Examples with data are presented and used in the practical sessions. Short videos, course materials, data files, and R scripts are provided on this website. Main topics include probability sampling designs, an introduction to the analysis of survey data, point and standard error estimation, model selection and model fitting, and plotting survey data.
Title in Spanish: Taller para la generación de una hoja de ruta para la integración de información estadística y geoespacial de Ecuador
Organizer(s): ECLAC INEC Ecuador IGM Ecuador AI Generated
Description: La definición de una hoja de ruta permite avanzar en el proceso de integración de la información estadística y geoespacial siguiendo las recomendaciones de las Naciones Unidas.
Description: This course, presented by the Statistics Department, deals with identification and assessment of elementary indicators and techniques for combining them into a single index of economic activity to track national trends. Flash estimates or indexes of economic activity bring together a range of elementary indicators to give timely general measures of economic activity. These measures give policy makers useful information that complements annual and quarterly GDP estimates, which are more comprehensive but usually only available after substantial lags, and provide a more comprehensive picture than individual monthly and quarterly indicators, which are up-to-the-minute but reflect just a portion of the total economy).This course is for actual or potential compilers of short-term indicators in central banks and statistical offices and for those who collect data for monthly indicators. Participants are expected to work with their own monthly and quarterly time series during the course. These indicators will be used in the practical session as the basis for experimental estimates.
Target Audience: Officials responsible for compiling short-term or monthly economic indicators in central banks and statistical offices.
Description: This course, presented by the Statistics Department, of the International Monetary Fund (IMF) introduces participants to the underlying concepts, definitions, and methodology for the compilation of Financial Soundness Indicators (FSIs). FSIs were developed by the IMF in the late 1990s and currently, more than 140 countries compile and report FSIs to the IMF. These indicators are widely used by researchers, analysts, and policymakers around the world to monitor the soundness of the financial system as a whole from a macroprudential perspective, as well as by IMF staff in financial stability analysis and surveillance. This course covers the history of the FSIs and their application in surveillance and macroprudential analysis, the conceptual framework for the FSIs, the data collection process for FSI compilation and its underlying aggregation and consolidation methodologies as well as the application of core and additional FSIs in macroprudential analysis. An important reference throughout this course is the Financial Soundness Indicators Compilation Guide revised in 2019. The 2019 FSIs Guide is the ultimate authority on FSI concepts and methods and is the foundation of this course.
Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This course is presented by the ISI Statistical Capacity Building (SCB) Committee. It is available for free to everyone. The course includes an introduction to (descriptive) statistics, and modules on sampling, probability, statistical inference, experimental design, categorical data, non-parametric methods, and linear regression.
Description: Financing Sustainable Development Goals (SDG) process and achievement has been at the heart of global leaders around the way due to the challenge it represents in terms of amounts to be mobilized and their sources. The SDG agenda foresaw in its Target 17.3 the need to “Mobilize additional financial resources for developing countries from multiple sources” as a supporting means to implement the Agenda beside ODA flows and strengthening of domestic resources mobilization. In this respect, understanding the contribution of South-south Cooperation (SSC) constitutes an important step in better comprehending the sources of development support for developing countries as well as the specific challenges faced by developing countries in meeting the SDGs.The Economic Commission for Africa, African Center for Statistics (ECA-ACS), in collaboration with the United Nations Conference on Trade and Development (UNCTAD) Statistics Service, are organizing a session during the StatsTalk-Africa webinar on progress and challenges regarding the measurement of SSC, as part of the new SDG indicator 17.3.1 on ‘additional financial resources mobilized for developing countries from multiple sources’. The new indicator’s methodology was adopted by the United Nations Statistical Commission (UNSC) at its 53rd session in March 2022.Thanks to the joint efforts of the South, now for the first time there is a global, voluntary Conceptual Framework to Measure South-South Cooperation which will support countries’ reporting on the SDG indicator. The Statistical Commission, at its 53rd session, welcomed the development of this conceptual framework and “requested that further work on this, including on global reporting and capacity-building, be enabled by the co-custodianship of UNCTAD and be led by countries from the global South, building on country-led mechanisms”. The Commission also invited countries involved in SSC to work closely with UNCTAD to that effect. This event will update heads of National statistical offices (NSOs) and international cooperation agencies across Africa as well as other participants interested in this field. Specifically, this event on the quantification of SSC aims to: * Share information on the new SDG Indicator 17.3.1 and on the Framework to measure South-South cooperation elaborated by countries of the South; * Present the ongoing UN Development Account project on Quantifying South-South cooperation to mobilize funds for the SDGs; * Discuss African perspectives on South-South cooperation and its measurement.Kindly register here: https://zoom.us/webinar/register/WN_e8vHNn2MSOq7vMuyGHnYMg
Source: World Bank (Data extracted on: 11 Dec 2023 )
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Organizer(s): World Bank
Description: Representative surveys on individuals’ daily time use—across unpaid domestic and care work, employment and other productive activities—are essential to understand economic decision-making among men and women. However, standard recall-based time use surveys can be costly to conduct, and often face challenges in accurately capturing people’s multiple daily activities. Addressing these difficulties is important to design data-driven labor policies and to improve the monitoring of global targets that recognize and value unpaid work across countries. Our study is one of the first to compare real-time against recall-based time use data collection from a low-income context, and in this talk, we present findings from a randomized experiment in Malawi. We compare how real-time data collection, through a low-cost pictorial smartphone-based app, can address potential recall bias in traditional 24-hours and 7-days time use diaries. The findings reveal several benefits of the smartphone diary approach, such as the possibility of capturing a greater range of multitasked activities and the avoidance of potential fatigue in recalling time allocation within the day—particularly among women. We will discuss how the insights of our paper can advance the validation of scalable best practices to individual-level data collection on time use, which could, in turn, be considered for implementation as part of large-scale surveys conducted by national statistical offices.
Description: The United States Department of Agriculture’s (USDA) National Agricultural Statistics Service (NASS) produces more than 500 state and national reports a year and conducts a census of the nation’s 2.0 million farmers once every five years. At the heart of the Agency’s current data collection strategy is its ability to persuade a respondent to voluntarily respond to surveys. Respondents are becoming less willing to participate in surveys and demands for statistics and secure data access are becoming increasingly challenging. The gold standard to produce official statistics has been probability-based sample surveys for many years. Yet, the environment for obtaining information and providing statistical summaries to policy makers and the public is changing. At the same time, new technology and data sources provide opportunities to reduce the burden on the public by reducing the number of survey questions or even eliminating surveys while increasing timeliness, geographic or subpopulation detail, and statistical efficiency. This webinar will present practical approaches and techniques to data collection and provide examples of how technological advances and new procedures like the use of administrative and previously reported data can be used to enhance the experience for data providers and data users. This presentation will also share how the USDA-NASS plans to improve accessibility, ease of use, and access to data through modernizing data collection and product design.
Organizer(s): INS Romania Ecological University of Bucharest Romania
Description: Date Location More information 12 December 2023 - 14 December 2023 The uRos2023 is the 11th International Conference of the Use of R in Official Statistics. After 3 on-line editions, this year we are inviting you at uRos home country and institution - Bucharest, Romania, at the premises of Romanian NIS.
Description: In this Global Network Webinar, Sophie Mitra of Fordham University and the Disability Data Initiative presented on the use of household surveys and population censuses to monitor the inequalities that affect persons with disabilities: recent evidence from the Disability Data Initiative. The speaker shared recent developments and highlighted research opportunities related to the situation of adults with disabilities worldwide. Based on recent results from the Disability Data Initiative, the webinar: (i) discussed various approaches to collect and analyze data on disability in household surveys and population censuses, in particular with respect to the types of questions used and how to analyze answer scales on severity; (ii) documented how and where questions on functional difficulties using the internationally tested Washington Group Short Set or similar questions have been adopted around the world; and (iii) presented results of analyses of Demographic and Health Survey and census data on whether persons with disabilities are being left behind in 15 countries. The webinar was attended by 44 colleagues from across the globe, including those from national statistical offices, UN resident coordinator offices, civil society, and academia. The recording is available on the Global Network. The Global Network of Data Officers and Statisticians aims to improve coordination and collaboration among peers and organizations, to connect existing but not necessarily wellconnected networks and initiatives, and to provide and share information on capacity building efforts globally. In the framework of the Global Network UNSD organizes a series of webinars. For more information visit our information pages.
Description: This course, presented by the IMF's Statistics Department, aims at providing a thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts (QNA) statistics. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA.
Target Audience: Officials responsible for compiling and using intensely national accounts statistics (NAS).
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP ESCAP UNSD UN DESA DOSM Malaysia MIC
Description: Quality data are vital for enabling governmentsinternational organizationscivil societyprivate sector and the general public to make informed decisions and to ensure the accountability of representative bodies. Effective planningfollow-up and review of the implementation of the 2030 Agenda for Sustainable Development requires the collectionprocessinganalysis and dissemination of an unprecedented amount of data and statistics at localnationalregional and global levels and by multiple stakeholders.
Title in Spanish: Taller para la generación de una hoja de ruta para la integración de información estadística y geoespacial de Paraguay
Organizer(s): ECLAC INE Paraguay AI Generated
Description: La definición de una hoja de ruta permite avanzar en el proceso de integración de la información estadística y geoespacial siguiendo las recomendaciones de las Naciones Unidas.
Description: The effective follow-up and review of progress made towards the Sustainable Development Goals (SDGs) is essential for achieving the 2030 Agenda for Sustainable Development. One of the critical follow-up and review mechanisms is the Voluntary National Reviews (VNRs) prepared by Member States to be presented at the High-Level Political Forum (HLPF). Since the adoption of the 2030 Agenda, countries have made significant strides in enhancing their monitoring frameworks for the SDGs, leading to improved inclusion of data and progress assessments in VNRs and overall SDG reporting.
Organizer(s): National Survey Authority Oman Arabic Division of Geographic Names
Description: This conference aims to promote joint Arab work in the following areas: * Documenting the geographical names. * Standardising the Arabic geographical names. * Implementing the Unified Arab System for Romanization 2017. * Promoting the work of the national committees and authorities for geographical names. * Linking between geospatial information and geographical names. * Enabling the Geographical Names.
Description: This webinar was jointly organized by the Inter-Secretariat Working Group on Household Surveys (ISWGHS) and the Global Network of Data Officers and Statisticians. We welcomed Marcelo Pitta, Thiago Meireles, and Pedro Silva from the Brazilian Network Information Center (NIC.Br) and the Brazilian Institute for Geography and Statistics (IBGE) who presented on the topic of leveraging non-probability samples and organic data for producing public statistics. The use of non-probability samples and of non-designed organic data for producing reliable public statistics is now a hot field of study and academic production. Such alternative data sources have been growing in importance due to the increasing demand for more timely and disaggregated data, resource constraints, and the increasing non-response associated with conventional probability sample surveys. Substantial body of emerging literature aims to enable official and public statistics producers to cope with the challenges presented by using such alternative data sources, namely the potential biases created by selection effects or undercoverage. The COVID-19 pandemic has compounded this scenario and increased the difficulties already faced by statistics producers. In this context, some experiments were developed to produce public data from alternative data sources in the Brazilian Network Information Center (NIC.br), a non-profit organization responsible for the planning, evaluation, and monitoring of the use of information and communication technologies (ICT) in Brazil. Here we present the approaches adopted in two projects developed to fulfil the information needs of policymakers and civil society for insights into Internet usage and Internet quality. The first experience focused on Internet usage and adopted a designed non-probability sample of internet users conducted via web self-interviewing during the COVID-19 pandemic. The second experience involved estimating from a large, non-designed organic database of Internet quality measurements taken in self-selected schools. For the Internet usage survey, a web panel, initially selected utilizing quota sampling, was surveyed to assess emerging policy-relevant topics such as privacy and e-waste among Internet users. The survey was developed in response to the urgent need for Internet usage data during the COVID-19 pandemic, in a period when traditional face-to-face household surveys were infeasible. For the Internet quality study, our experience comprised determining pseudo-weights for Brazilian public basic education schools participating in a voluntary scheme where measurements of internet quality are regularly reported to the NIC.br via the ‘Simet’ devices installed in the schools. While not all public schools have installed the Simet devices, we have developed an approach to leverage existing School Census data to estimate pseudo-weights for the participating schools, thus enabling the production of Internet quality estimates for the entire school population while minimizing response bias.
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. Course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, and exercises covering practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) and the derivation of the respective surveys for the CB, ODCs, and the consolidated DCs sector. Participants should be prepared to ask questions and discuss challenges related to MFS compilation practices. This course is an abbreviated version of the longer, introductory MFS course traditionally offered by STA in-person.
Target Audience: Central bank officials and officials from financial regulatory agencies responsible for compiling monetary statistics.
Description: This in-person, two-week course, conducted by the IMF Statistics Department, will familiarize participants with the sources and methods to develop macroeconomic relevant climate change-related indicators that can inform economic and financial policies. The participants gain an understanding of a) environmental accounting concepts; b) how to assess global/open-source datasets that can be used for the compilation; and c) the different approaches and methodologies used to estimate the indicators. The course consists of a series of lectures, workshops, and plenary discussions on country practices describing the methods for compiling environmental and climate change statistics, including data sources. Participants will have the opportunity to discuss compilation challenges they have encountered and gain insights into the analytical uses of the environmental and climate change statistics. The statistics covered include Environmental revenues and expenditures, Natural Resource Accounts, Physical and Transition risk indicators, Air Emission Accounts and Sustainable Finance indicators.
Target Audience: Officials from National Statistics Agencies, Ministries of Finance, Planning and Environment, Central Banks and other agencies, who are responsible for compiling environment and/or climate change related indicators.
Description: The aim of the course is to better equip data officers serving in UN offices in using the new SDG statistical monitoring system. The course is designed to enhance capacities for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. It also emphasizes the latest ICLS Resolutions on the statistics of work relationships as an important pillar for measuring progress towards the 2030 Global Agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: Data officers serving in UN offices.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: UNSD participated in the First Global Workshop for the 2024 Voluntary National Reviews (VNRs) organized by the DESA and hosted by ECA with the support of the European Union. The workshop facilitated a practical exchange of experiences and knowledge among countries, as well as explored specific issues and challenges related to the VNR preparations. To this end, it engaged officials from finance ministries, statistical offices, planning and sectoral and other ministries and institutions engaged in the VNR at national level. UNSD led the data session in exploring how statistics and data are critical for reviewing progress towards the SDGs. The session explored challenges in the availability and analysis of statistics in the preparation of their VNR and at the same time, the key opportunity to build on countries’ statistical capacities and understand countries’ progress towards the SDGs. The session encouraged countries in developing a data and statistics roadmap for the VNR process following the Practical Guide for Evidence-based VNRs developed by UNSD, based on the national SDG monitoring framework and exploring additional opportunities to fill data gaps. It also provided lessons learned from countries who have presented their VNR in the previous years. In addition, Colombia and Mauritius presented their country experience followed by UNECA highlighting the regional support mechanism. The workshop attracted participation from thirty-four countries slated to present their VNRs in 2024. The event commenced with opening remarks by H.E. Paula Narváez, Permanent Representative of Chile to the United Nations in New York and President of ECOSOC. Mr. Antonio Pedro, Deputy Executive Secretary of the United Nations Economic Commission for Africa (ECA), also extended welcome remarks.
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat
Description: Are you interested in macroeconomic statistics and want to learn more about national accounts and balance of payments? During this webinar, you will get valuable insight into the main concepts of macroeconomic statistics. The webinar will focus in particular on the innovations that will be introduced in the macroeconomic measurements frameworks - the system of national accounts and the balance of payments manual - to keep them abreast of the changes in the global economic environment.
Description: This side event on “Integrating Natural Capital Accounting and Climate Change” was organized by the Basque Centre for Climate Change (BC3) during the UN Climate Change Conference COP28 in Dubai. The event was moderated by the Scientific Director of BC3 and included interventions by representatives from the IMF and the World Bank, who emphasized the importance of using the harmonized methodology of the System of Environmental Economic Accounting (SEEA) in support of informing climate change adaptation and mitigation strategies and the role of capacity building to support countries to develop the necessary information. The event was opened with a message by the UNSD Director, who underlined the strengths of the SEEA in linking environmental and economic information to support decision-making in a statistical framework endorsed by the international statistical community through the UN Statistical Commission. Tools such as ARIES for SEEA, developed by BC3 in collaboration with UNSD, can facilitate the implementation of the SEEA in countries by providing easily accessible data and models that are consistent with SEEA. More information on the side event is available here
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat
Description: Are you interested in regional statistics and want to learn more about the nomenclature of territorial units for statistics, the so-called NUTS? During this webinar, you will get valuable insight into European regional statistics. How can we compare small EU countries like Luxembourg to Germany, which is the most populous one? Comparing regional data is often more informative compared with country data: it may reveal the disparities or similarities between EU members or even within EU countries themselves. Speakers will give fascinating insights into the lives of the 448 million people living in the EU. They will be covering a variety of topics, from demography to education, labour market, and economy. With the help of interactive visuals, the speakers will show how the EU regions are coping with the green and digital transition. In addition, you can learn how to make your own statistical map for regions.
Description: In this Global Network Webinar, we welcomed Yongyi Min, Heather Page, Daniel Eshetie, and Sokunpanha You from the United Nations Statistics Division (UNSD) of the Department of Economic and Social Affairs (DESA). They shared data and insights from The Sustainable Development Report 2023: Special Edition and supplementary materials and introduced participants to the UN Data Commons for the SDGs. 2023 is the critical midpoint of the implementation of the Sustainable Development Goals (SDGs). To mark this occasion, DESA released a special edition of its annual flagship Sustainable Development Goals Report. Using the latest available data and estimates, this publication provides a comprehensive midpoint assessment of the 2030 Agenda, highlighting not only impacts of multiple crises affecting people's lives and livelihoods, but also areas of progress where acceleration is needed. This report is prepared by DESA, in collaboration with the entire UN Statistical System, consisting of more than 50 international and regional agencies, based on data from over 200 countries and territories. Serving as a companion to the report, The Sustainable Development Goals Progress Chart 2023 presents an overview of global progress with respect to the targets outlined in the 17 Goals of the 2030 Agenda for Sustainable Development, employing a visual framework of stoplight colours to measure progress towards each target using trend data between the baseline year of 2015 and the most recent year. And enabling access to even more granular SDG data and the visualization and analyses of those data, UNSD recently launched UN Data Commons for the SDGs, a platform integrating authoritative SDG data and information from across the UN System into a public repository with advanced search functionality and a modern, user-friendly interface.
Description: The United Nations Network of Economic Statisticians and the United Nations Committee of Experts on International Statistical Classifications jointly organized a sprint webinar series on international statistical classifications, with the objective to raise the awareness of the importance of international classifications among users, provide a forum for discussing and sharing modern ways of updating and implementing classifications, and highlight the value of investing in classification work as a foundation for data integration. This second webinar’s theme was: the mechanisms for rendering the classification process more efficient through collaboration and coordination. It was attended by over 200 online participants from national statistics offices, regional and international organizations, classification users from specific industries, and experts on statistical classifications. The meeting provided an outreach opportunity for the Committee of Experts on International Statistical Classifications to engage directly with classification users on the concept of evergreening and on the importance of a more efficient revision process to develop agile and responsive international classifications. The webinar also provided a platform for sharing knowledge and experience on the review process and revision cycles of national, regional and international classifications. More information on the classifications sprint is available on UNSD website.
Description: The Subgroup on Administrative and Other Data Sources under the United Nations Expert Group on National Quality Assurance Frameworks (EG-NQAF) organized its seventh meeting. A key agenda item was the review of the list of requirements that are of special importance in assuring the quality of official statistics when using administrative and other data sources and their links to the UN National Quality Assurance Framework (UN NQAF). Participants stressed the importance of establishing precise terminology aligned with the existing UN NQAF to prevent duplication of work and confusion. On the issue of implementation, the experts agreed to develop a module specifically for administrative and other data sources which will complement the existing UN NQAF. The meeting of the Subgroup was attended by 13 experts from national statistical offices and international organizations. The next meeting is scheduled for 6th December 2023.
Description: In unit-level small area models, the response variable corresponds to an individual element within a small area. Unit-level models serve a fundamental role in the field of small area estimation. Predictors based on unit-level models have been demonstrated to be more efficient than predictors based on area-level models, where the response variable is a direct estimator for an area. The seminal work on unit-level small area models is Battese, Harter, and Fuller (1988). This work uses unit-level small area models to predict crop areas at the county level. The model of Battese, Harter, and Fuller (1988) is linear and postulates normal distributions for the random terms. The assumptions of linearity and normality fail to hold in many practical situations. Therefore, research on the unit-level model has expanded in a variety of directions. Extensions of the Battese, Harter, and Fuller (1988) model include lognormal models, zero-inflated models, models with gamma response distributions, models for count data, and methods to incorporate an informative sample design. In this webinar, we discuss the use of the unit-level model for small area estimation, with emphasis on recent developments.
Description: Background United Nations Statistics Division (UNSD) as the Secretariat for UN-GGIM and the core partner of the Data for Now initiative, together with ESCAP and Statistics Norway, is convening an international high-level seminar that aims to foster this collaboration by bringing together representatives from National Statistical Offices (NSOs), National Geospatial Information Agencies (NGIAs) and other relevant national institutions to learn from globally recognized good practices, increasing awareness of the global frameworks and resources, and discuss current practices and potential ways forward at national level. The seminar also provides an opportunity for countries to utilize a Self Assessment Tool, developed by the United Nations Expert Group on the Integration of Statistical and Geospatial Information, that aims to assist countries to self-assess their geo-statistical capacity (or maturity). By understanding their level of capacity, countries can take concise actions to improve their capacity according to their own ambitions, needs for statistics and at their own pace. Participating countries will be asked to apply the Self Assessment Tool in advance of the high-level event and to share the findings so that international experts can provide input and guidance during the discussions at the seminar. The roadmap and action plan that each country will be encouraged to develop during the seminar can then be used for individual follow up in countries, where feasible also with support from UNSD and other partners. Aim and Objectives The workshop’s primary aim is to equip Member States with the necessary skills to ensure continuous production and disaggregation geospatially enabled statistical data. Specific objectives include: Present the Global Statistical Geospatial Framework (GSGF) and the SDGs Geospatial Roadmap and highlight how it can be implemented; Facilitate discussions on countries’ geo-statistical capacity (maturity) and help identify specific actions that can improve implementation, ideally developing national draft roadmaps, which in turn also can guide needs for further capacity development; In this context, present methodologies for continuously calculating geospatially enabled statistical data, inclusive of relevant SDGs indicators; Highlight the importance of collaboration across the National statistical and geospatial ecosystem; Identify needs for partners to better be able to provide support to countries through follow-up activities Programme Programme for download Report Seminar Report , Contacts Programmatic and Substantive: Ms. Vibeke Nielsen, Inter-Regional Advisor, UNSD - vibeke.nielsen@un.org Ms. Faryal Ahmed, Statistician, UNSD – faryal.ahmed@un.org Mr. Mark Iliffe, Geographer, UNSD – mark.iliffe@un.org Mr. Richard Tonkin, Statistician, ESCAP – richard.tonkin@un.org Administrative: Mr. Jaspreet Doung, Statistics Assistant, UNSD - doung@un.org (UNSD & Statistics Norway-funded participants) Ms. Anne Kerdlapphon, Statistics Assistant, ESCAP – anne.kerdlapphon@un.org (ESCAP funded participants & questions relating to Thai visas and venue)
Description: The International Data Alliance for Children on the Move (IDAC), in partnership with UNICEF Innocenti – Global Office of Research and Foresight (Innocenti) and UNICEF Division of Data, Analytics, Planning and Monitoring (DAPM), facilitated a global collaboration around the theme of improving data on climate-related child and family mobility. The workshop will convene a core group of cross-sectoral data and thematic experts working on issues relevant to mobility, climate, and child rights, protection and well-being. The objectives of the workshop will be to take stock of, and improve, data for informing solutions to the needs of children and their families engaged in contexts of climate-related migration and displacement, in order to set a shared research agenda, identifying common gaps, priorities, and opportunities for knowledge-sharing and collaboration.
Description: The Expert Group on National Quality Assurance Frameworks (EG-NQAF) conducted its 33rd meeting via MS Teams. A total of 20 experts of 14 countries and 2 international organizations attended the meeting. UNSD as the secretariat of the Expert Group presented the work progress of the two Subgroups of the EG-NQAF, one focusing on quality culture and one focusing on quality assurance when administrative and other data sources are used to produce official statistics. The meeting also discussed the results of the two global seminars that were conducted, and the results of the regional workshop for countries of Latin America and the Caribbean in Bogota, Colombia. In addition, the Expert Group reviewed the logistics and preparations of its upcoming in person meeting, which is scheduled for 5-7 February 2024. The Expert Group also suggested to host a side event during the 55th Session of the Statistical Commission in late-February 2024, aiming to generate awareness about the ongoing work and its forthcoming global consultation on guidelines for quality assurance when using administrative and other data sources for official statistics.
Source: ESCAP SIAP (Data extracted on: 23 Jan 2024 )
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Organizer(s): ESCAP SIAP ESCAP ADB
Description: This 8-week course developed by SIAP in partnership with the Asian Development Bank (ADB) introduces machine learning as a tool for using either traditional (surveysmicro data…) or non-traditional (big data) data sources to produce high quality predictions for Official Statistics or Sustainable Development Goals (SDGs) indicators. It provides an opportunity for participants to explore and manipulate the techniques of Machine Learning and their links with traditional statistical methods. The 6 modules (+1 module with recalls/prerequisites) aim at providing an overview of the current methods and applications of Machine Learningthrough simplified theoretical conceptspedagogical case studies and interactive resources.The course is not basednor does it requirea particular software. Howeverreproducible examples on either simulated or real data are provided using the R/RStudio environment. Some Python procedures and packages are also provided. The weekly webinars are planned on Wednesdays at 4 p.m. Japan time.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * This course shall democratize the accessibility of privately held data and valorisation thereof; * Get to know the techniques and tools to access privately held data; * Understand the stages of data valorisation pipelines; * Familiarize with the European Data Strategy and Digital Strategy; * Experiment with webscraping and API interfacing techniques; * Gain hands-on experience with data mining techniques from privately held data sources.
Target Audience: Official Statisticians wishing to develop a toolbox for data acquisition with respect to privately held data at national level.
Description: Concept note Over the past decade, countries have made good progress towards meeting the Sustainable Development Goals (SDGs) but the COVID-19 pandemic has severely disrupted these efforts and even led to reversal of gains in several area1. To that end, there is a critical need for timely, reliable, and disaggregated data, estimates and forecasts, and it is of paramount importance that all stakeholders unite to work on this common agenda. Citizen data—that is data produced by people or organizations to directly monitor, demand, or drive change on issues that affect them2 —, has the potential to meet this need. In particular, citizen data is able to fill crucial data gaps for vulnerable and marginalized groups, integrating their situations and conditions into statistical production processes. Citizen data also progresses fundamental values namely fairness, openness, inclusiveness, non-discrimination, accountability and transparency in statistics. Data collection process for citizen data can be initiated by different stakeholders, including national statistical offices (NSOs), civil society organizations (CSOs), community leaders, national human rights institutions (NHRIs) and other state institutions, scientists, or individual citizens. Moreover, citizen data can be integrated into different stages of the data value chain. For instance, CSOs and citizens are often at the forefront of data collection generally focusing on vulnerable and marginalized population groups and ensuring that their voices are heard. CSOs can also engage in collecting citizen data for SDG monitoring and Voluntary National Reviews (VNRs) led by NSOs. Finally, NSOs, relevant government agencies, and UN entities can coordinate and facilitate validation processes for citizen data in close collaboration with CSOs and community leaders. Noting the potential contributions of citizen data in inclusive statistics production, there is a critical need for a comprehensive and inclusive guide on citizen data. To that end, United Nations Statistics Division (UNSD) organized an expert group meeting on citizens’ contribution to data in September 2023 with the specific objective of deriving insights from experts for the development of a Conceptual Framework on Citizens’ Contribution to Data. More specifically, the meeting allowed participants to review and discuss a draft Conceptual Framework on Citizens’ Contribution to Data, discuss ways and steps to operationalize the Conceptual Framework, and identify solutions to key challenges in engaging with citizens in data processes such as data quality, building trust and keeping engagement sustainable. 1 Ms. Amina J. Mohammed, Deputy-Secretary General, United Nations, “High-Level Political Forum 2021,” 2021, https://hlpf.un.org/2021/programme/closing-hlpf 2 Global Partnership for Sustainable Development Data, “World Data Forum: Citizen-generated data for inclusive data ecosystems,” 2023, https://www.data4sdgs.org/world-data-forum-citizen-generated-data-inclusive-data-ecosystems ESCAP also organized a side event at the expert group meeting with a specific focus on the use of citizen data in health and well-being statistics. At the side event, WHO and the International Institute for Applied Systems Analysis (IIASA) presented their latest publication on key processes and considerations for the use of citizen science and data for the production of health and well-being statistics. Representatives from Philippine Statistics Authority and Kenya National Bureau of Statistics also shared their experiences including the processes and outcomes of using citizen data in producing health and wealth-being statistics, challenges faced, and lessons learned. Prior to the expert group meeting, ESCAP and UNSD also co-organized a VNR Lab on the use of citizen-generated data to leave no one behind at the High-Level Political Forum in July 2023. The Lab focused mainly on initiatives designed to harness the power of citizen data to improve VNR and SDG reporting processes and facilitated insightful experience sharing by countries in Asia and the Pacific and beyond. These events offer up-to-date information on the progression of citizen data as a viable non-traditional data source in official statistics and SDG reporting. Nonetheless, they were all invite-only events which limited the sizes of audience. Therefore, ESCAP and UNSD organized this Stats Café session to: Present on insights and outcomes of discussions occurred throughout the three events; Share country experience with using citizen data in official statistics and/or SDG reporting; Share updates on the development of the Conceptual Framework on Citizens’ Contribution to Data and way forward for citizen data. , Stats Café Home: Upcoming events Concluded events
Description: Starting with a question, a knowledge gap, and looking for an answer through data. This certification programme aims to provide development practitioners with the knowledge, methods, tools and software solutions to gather, store, process, analyse, visualise, and utilise qualitative and quantitative data to meet the information needs of an organisation and its stakeholders. With the technological advances of recent years, the amount of data and its potential have multiplied, but together with the risks of data manipulation and misinformation. This situation calls for stronger evidence-based management in the public sector and in development cooperation. Through this certification programme, participants develop their data analysis skills to generate and manage knowledge that ultimately inform decision-making. The course relates to the phases of the policy and programme cycles and prepares for the identification of need of knowledge and data in order to - inform strategic intervention planning - the development of evidence-based development models and theories of change - allow adaptive and agile management fed by an up-to-date and on demand data and evidence availability - strengthen evaluation robustness on the basis of solid data collection, analysis and knowledge provision - underpin organisational development based on ready availability of data and analysis - enhance external communication fed by credible evidence
Target Audience: This certification program on data analysis and knowledge management for development is intended for a wide range of actors active in the field of development cooperation, in the public sector or the third sector who want to improve evidence-based management processes: technical specialists, programme and project managers, monitoring and evaluation officers, evaluators, programme managers. Members of the research community involved in the identification, design, implementation and evaluation of development policies, programmes and projects are also invited to participate.
Description: The workshop will train participants from national statistical offices on quality assurance and its implementation throughout the national statistical system. It will also support the development of additional guidelines on quality assurance. Specifically, the workshop will provide an overview of the contents of the Manual, the United Nations National Quality Assurance Framework, the Code of Good Practice in Statistics for Latin America and the Caribbean, and ECLAC’s Guide for the implementation of a quality assurance framework for statistical processes and outputs. It will review and discuss the implementation of quality assurance in participating countries. A special focus will be on quality assurance when administrative and other data sources (such as big data or citizen generated data) are used for producing official statistics. Other topics will include quality culture and data stewardship. The sharing of experiences will be a central element of this workshop and support the development of additional guidance on some of the above-mentioned topics.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The training course will introduce the theoretical and practical know-how of TSA compilation and will position TSA vis-à-vis primary tourism statistics. The main compilation challenges for each TSA table (with a focus on core tables 1 to 7) will be discussed, with the aim of improving the international comparability through maximising the use of existing harmonised European statistics. The final goal of the course is to prepare participants to embark on the production of TSA at national level or to improve the existing TSA and to better align national TSA to the international recommendations.
Target Audience: Staff of national statistical authorities involved in the production process of tourism statistics, national accounts or (tourism) satellite accounts, who want to acquire a good understanding of the macro-economic measurement of the tourism sector, in particular the tourism satellite accounting framework (TSA), with the objective to develop or improve TSA in their country. The training is targeted at experienced as well as novice or future TSA compilers with the aim of spreading/exchanging the know-how and best practices within and between the different levels of expertise.
Description: The United Nations Statistics Division (UNSD), in collaboration with Statistics Indonesia (BPS), is organizing a workshop on Big Data in Asia-Pacific countries, focusing on an introduction to Remote Sensing and Land cover classification using remote sensing. The overall objective of the week-long workshop is to help participants better understand the use and benefits of Big Data specifically the utilization of Remote Sensing for Land Cover Classification. To that end, the workshop program will present methods, case studies, and processes that can support the Agricultural Statistics to identify the agricultural lands. This workshop is one of the first activities organized under the umbrella of the new Regional Hub for Big Data and Data Science in Official Statistics, which will be launched on 24 November 2023.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP Paris21
Description: The Partnership in Statistics for Development in the 21st Century (PARIS21) in collaboration with the Statistical Institute for Asia and the Pacific (SIAP) developed a unique training course for NSSNSO leaders and national planning senior managers to improve strategic planning for data and statisticsdevelopmentusing innovative tools and methods. The course will give a thorough introduction to the NSDS design process and introduces the data gaps assessment and planning using ADAPT. In additionthis course will feature special topics on gender statisticsclimate change data as well as fragility and resilience of NSS in crisis context.
Description: UNSD took part in a regional workshop on core SDG indicators organized by the Caribbean Community (CARICOM) Secretariat at the Central Statistical Office of Trinidad and Tobago in Port-of-Spain. The main objective of the workshop was to provide capacity building and support to CARICOM Member States to fill in data gaps in key areas – especially those that relate to the monitoring of the SDGs. Thirty statisticians from the national statistical offices of CARICOM members attended in person, and another ten?plus participants joined online. At the workshop, UNSD presented on the current state of data availability from CARICOM countries in the UN global SDG indicators database and shared information on resources and initiatives available from UNSD to enhance SDG data availability in the CARICOM region and globally. UNSD also contributed to sessions on data disaggregation; data-driven National Voluntary Reviews; the use of nontraditional data sources, including geospatial and citizen generated data; and Statistical Data and Metadata Exchange (SDMX) for SDG reporting. On the final day, participants were able to use the tools and knowledge gained from the workshop to define data priorities and to develop national work plans to improve the production and dissemination of SDG indicators in each country. Post-workshop, the CARICOM Secretariat plans to conduct follow-up in-country missions with the primary aim of improving the range, quality, and dissemination of SDG indicators with a focus on social, gender, environmental, and information and communication technology (ICT) statistics.
Description: Agenda Opening remarks, Ms. Rachael Joanne Beaven – Director, Statistics Division, ESCAP Transforming a Yearbook into a digital portal using .Stat Suite and SDMX, Ashiyath Shazna, Statistician, Maldives Bureau of Statistics Using PowerBI to automate Dashboards, Natthamon Mayurasakhon, Statistician, Government Strategic Information Center, National Statistics Office, Thailand New training on tools to simplify SDMX implementation for data exchange, Jeffrey Napoles, Consultant, Economic Research and Development Impact Department, Asian Development Bank (ADB) Q&A and discussion , Stats Café Home: Upcoming events Concluded events
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP ESCAP UNSD ADB
Description: SDMX stands for Statistical Data and Metadata eXchange. It is an ISO standard designed to describe statistical data and metadatanormalize their exchangeand improve their efficient sharing across statistical and similar organizations. SDMX provides an integrated approach to facilitating statistical data and metadata exchangeenabling interoperable implementations within and between systems concerned with the exchangereporting and dissemination of statistical data and their related meta-information. This course has been developed by Asian Development Bank (ADB)United Nations Statistics Division (UNSD)Economic and Social Commission for Asia and the Pacific (ESCAP)and Statistical Institute for Asia and the Pacific (SIAP) with comments from the Bank of International Settlements (BIS) and the International Labour Organization (ILO).The course will be available in ADB eLearnand is free-of-chargeself-pacedand open to anyone who is interested in learning more about SDMX.
Description: The 11th Statistical Forum of the International Monetary Fund (IMF) will take place in hybrid format (in person and virtually) in Washington, D.C. during November 15 to 16, 2023. The Forum is a platform for policymakers, researchers, the private sector, regulators, and compilers of economic and financial data to come together to discuss cutting edge issues in macroeconomic and financial statistics and to build support for statistical improvements. The theme of this year’s Statistical Forum is Measuring Money in the Digital Age. Digitalization is pervasive. It has impacted all aspects of life – money is no exception. There are daily accounts of the rise and fall of digital currencies, stable coins and other types of crypto assets, however there is little formal “accounting” of these new forms of money. Digitalization is also changing the way individuals and businesses interact with the financial system. As digitalization continues to impact the future of money and the exchange of value, effective policy and regulation are needed to ensure a stable and equitable financial system. The Forum will explore (i) the new forms of money and payments, (ii) the implication for financial stability and monetary policy, (iii) the impact on financial inclusion and illicit financial flows, and (iv) how we can better measure the new forms of money and payments to support policymaking. The Forum focuses on a discussion track, where participants will have the opportunity to share experiences, and build on topics of mutual interest through presentations and panel discussions.
Description: The PACIFIC CIVIL REGISTRARS NETWORK (PCRN) will be organizing the third webinar in the Webinar series (Journey Towards ICD-11 in the Pacific) on ICD applications, introduction to WHO-FIC and in-depth ICD-11 transition discussion. When: 15 November 2023 To register: Click here.
Description: Nowadays the conditions for the use of Earth Observation (EO) data for agricultural statistics are very favorable. The generous availability of free and open high resolution satellite data (such as from the Copernicus program) offer an unprecedented possibility to detect crop phenology and spectral traits, and to derive accurate agricultural statistics. Moreover, the expansion of cloud storage and computing capabilities, and the rise of machine learning (ML) and artificial intelligence (AI) has opened the door to high flexibility and alternatives for deploying low-cost infrastructures and automation. Despite all this, the actual uptake of EO data for operational use in national statistical offices is still relatively low globally, especially in developing countries, due to a series of barriers, such as the complexity of image pre-processing, low availability and low quality of in-situ data due to high cost of surveys and inconsistent use of georeferencing methods in the field, and models are area and time dependent, and a lack of user-friendly EO platforms. The 4th International Seminar was organized by the Global Hub on Big Data and Data Science for Official Statistics of the National Bureau of Statistics of China together with UNSD and the UN task team on EO data for agriculture statistics. The topic of the seminar was remote sensing for agriculture statistics. The program of the seminar was led by experts from FAO, Mexico and Brazil and consisted of (i) Collection and validation of in-situ data, (ii) Pre-processing of the Satellite data, (iii) Classification of crops using various ML methods, (iv) Quality assessment of the classification, and (v) Crop yield estimation and data analysis and dissemination. In addition, various Chinese experts as well as experts of Rwanda shared their experiences in this field. The audience of the seminar consisted of about 20 participants from Asia and Africa and 80 participants of China. The opportunity of the seminar was taken to launch the laboratory of remote sensing for statistics. This laboratory is part of the Global Hub and will be used by experts from around the world.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 02 Dec 2022 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: Providing participants with a better understanding of transforming statistical data into effective, data-based, open, timely, and user-friendly information objects. How to make complex data understandable with a visual object, incl. storytelling. Meet the tools to choose the right visualisation, tools and frameworks adapted to produce visualisation, and best practices with guidelines and processes.
Description: The Global Bioenergy Partnership (GBEP) is a CSD Partnership registered with the UN Commission on Sustainable Development (CSD) since 2007. Its purpose is to provide a mechanism for Partners to organize, coordinate and implement targeted international research, development, demonstration and commercial activities related to production, delivery, conversion and use of biomass for energy, with a focus on developing countries. Among the annual meetings was the 16th meeting of the GBEP Working Group on Capacity Building for Sustainable Bioenergy, where UNSD presented on “Bioenergy statistics for the monitoring of SDG 7 targets”. The intervention was a follow-up of UNSD’s September 2023 presentation on the uncertainties of wood energy data at the global level at the webinar “Carbon accounting for wood energy” as part of the GBEP webinar series. While uncertainties in the data were discussed in September, UNSD now raised conceptual issues as to how sustainability is measured, calling for both issues to be addressed in the set of indicators to be adopted in the post-2030 agenda, and for GBEP to step up and play a bigger role. The meetings also updated members on the activities of GBEP Task Forces and Activity Groups, as well as setting the GBEP agenda for 2024. UNSD’s intervention was within the scope of work of Activity Group 4; "Towards sustainable modern wood energy development". More information, events and publications on this theme can be found on the GBEP website.
Description: The UN Expert Group on National Quality Assurance Frameworks (EG-NQAF) and its Subgroup on administrative and other data sources are hosting a global seminar on assuring the quality when administrative and other data sources are used to produce official statistics. The seminar will present insights on how the use of such data sources poses challenges and how quality aspects of the source data and the source itself impact the final statistical output. Expert speakers from four countries will share their experiences, exploring the promise and complexities of utilizing administrative and other data sources to produce official statistics. Registration: here Date & Time: Tuesday, 14 November at 8:00 – 9:15 AM EDT
Description: Measuring and analysing the informality of jobs, economic units and productive activities continues to be a challenge for many developing countries; it hinders policymaking, as the contribution made by the informal economy is unaccounted for due to a lack of data and statistics. Bearing in mind the growing demand for a better understanding of the functioning of the informal economy and ways of measuring informal employment, the International Training Centre of the ILO in Turin (ITCILO), in close collaboration with the ILO Department of Statistics, is proud to offer this e-learning course on Measuring Informal Employment.
Title in French: Mesurer l'inadéquation des compétences
Organizer(s): ILO ITC ILO
Description: L'inadéquation des compétences est une préoccupation commune des décideurs politiques, des employeurs et des travailleurs. Il s'agit d'un thème récurrent dans l'enseignement professionnel et le développement des compétences, avec de nombreuses initiatives politiques lancées pour faire face aux diverses formes du phénomène. En ce qui concerne les compétences fondées sur des données factuelles, des statistiques d'élaboration des politiques sur les diverses formes d'inadéquation des compétences sont nécessaires. S'appuyant sur sa longue expérience dans la prestation de formations sur les compétences et l'analyse du marché du travail, le Centre international de formation de l'OIT, en pleine collaboration avec le Département des statistiques de l'OIT, propose la première édition de ce cours en ligne en français dans le but d'équiper les et des acteurs internationaux dotés des compétences nécessaires pour mesurer et analyser les inadéquations et les déséquilibres de compétences pour l'élaboration de politiques fondées sur des données probantes. Le cours est conçu pour renforcer les capacités d'identification, de collecte, d'analyse et de diffusion des informations sur le marché du travail liées aux déséquilibres de compétences du côté de la demande et de l'offre.
Target Audience: Offices nationaux de statistique (ONS) ; ministères du travail et institutions connexes (telles que les observatoires du travail); les institutions gouvernementales engagées dans l'emploi, le développement des compétences, l'adéquation et l'analyse des compétences ; les organisations internationales et les agences donatrices engagées dans l'adéquation des compétences ; conseils de compétences ; les autorités nationales de l'EFTP ; centres d'EFTP ; les organisations de travailleurs et d'employeurs; les établissements de recherche et universitaires; organisations internationales; agences de développement; organisations non-gouvernementales.
Course Language: French
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide) . The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: AFW2 conducted a regional workshop to promote best practices and international standards for GDP rebasing, and to strengthen participants’ knowledge on using the Supply and Use Tables (SUT) framework as an integral compilation framework. The regional GDP rebasing workshop was attended by both experienced and new national accounts compilers, which gave everyone an opportunity to share experiences across countries.
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat
Description: Are you interested in unemployment statistics and want to learn more about the evolution of unemployment in the EU? During this webinar, you will get valuable insight into European statistics on unemployment, which is one of the key European economic indicators. Discover how these statistics are compiled and how the figures have evolved over time. To give an in-depth picture of the unemployment in the EU, we present selected results on unemployment across EU countries and additional indicators, such as the labour market slack and labour market transitions. The relevance of these data and the ways in which they inform EU policy are also discussed.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Participants will be able to (re)design statistical categories for the collection of equality data and actively participate in the review of indicators adequate for the relevant EU policy processes. They will also be able to disseminate equality data to diverse audiences.
Title in French: Rôle des Instituts Nationaux de la Statistique dans l’écosystème de production des statistiques environnementales et du changement climatique
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics.
Organizer(s): Global Partnership for Sustainable Development Data INE Uruguay AGESIC Uruguay Uruguay
Description: The Festival de Datos takes place in Punta del Este, from November 7-9, 2023, bringing together more than 400 delegates from governments, multilateral organizations, the private sector, academia and civil society of various nationalities.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * Provide an overview of the key concepts of SEEA ecosystem accounting; * Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ environmental and national accounting; * Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of ecosystem accounting.
Description: Concept Note Innovations remain an integral part of good practices in the production of economic statistics that are timely and meet the needs of users. Overtime, traditional systems of data collection such as surveys have involved to respond to new business practices such as online trading. As a result, some countries have had to change modalities of data collection for measures of aggregates such as inflation. These measures have included tendencies to scrap the internet for prices to produce consumer price indices. Other countries have not yet adopted such innovations. Similarly, for producing macroeconomic and microeconomic statistics such as gross domestic product (GDP), retail statistics, employment amongst others, countries have embraced different data collection techniques. Besides mere data collection, new industries such as e-commerce have emerged, often facilitated by more efficient payment systems and changes in consumer purchasing habits. While this has improved the timeliness of data produced, it is important that statistical standards are maintained in line with fundamental principles of official statistics. This Stats Café was organized by the Statistics Division of ESCAP and aimed to showcase country level practices and experiences regarding on-line price collection for consumer price indices, purchasing power parities (PPP’s) within the context of the international comparison programme (ICP) and the measurement of e-commerce. By participating in this Stats Café, attendees were expected to: Learn about how some countries are applying new innovations with respect to price data collection for price indices and their associated challenges; Acquaint themselves with some of the approaches and methods for measuring e-commerce. Agenda Moderator: Mr Alick Mjuma Nyasulu, Statistician, Statistics Division, ESCAP Opening remarks: Ms Rikke Munk Hansen, Chief, Economic and Environmental Statistics Section, Statistics Division, ESCAP Measuring E-commerce using market place site, Mr Viktor Suwiyanto, Junior Expert Computer Administrator, BPS Statistics Indonesia Online price collection for the Consumer Price Index (CPI) and experiences on the 2021 International Comparison Programme , Ms Ruth Lee, Senior Manager, Consumer Price Indices, Department of Statistics, Singapore Online Price Collection for Consumer Price Indices, Ms Chindy Saktias Pratiwi, Statistician, Directorate of Price Statistics, BPS Statistics Indonesia & Ms Irien Kamaratih Kamaratih Arsiani, Statistician at Integration of Statistical Processing and Dissemination - BPS Statistics Indonesia Question and Answer/Discussion , Moderator: Mr Alick Mjuma Nyasulu, Statistician, ESCAP Statistics Division Closing remarks: Mr Alick Mjuma Nyasulu, Statistician, ESCAP Statistics Division , Stats Café Home: Upcoming events Concluded events
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP ESCAP НИУ ВШЭ
Description: The 2030 Agenda encourages member states to conduct regular and inclusive reviews of progress at the national and sub-national levels which are country-led and country-driven. This course focuses on building capacity in countries for reporting on the SDG indicators using national indicator frameworks. During the course participants will learn about key concepts around metadataparticularly related to the SDGslearn how to fill the SDG metadata template and better understand the importance of metadata to help explain the data and potential differences between data.The target participants are officials in national statistical officesline ministries and other institutions who are responsible for providing data and metadata for one or more national SDG indicators. The course can also be useful to a wider audience who is interested to learn more about metadata in the SDG context.
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat EFTA
Description: Objectives of the course: * Introduce the GSBPM and how it applies to quality control in NSI’s. * Introduce R and its basic functions. * Present how R can be used within NSI’s for processing, analyzing and creating output for users. * Introduce the tidyverse and how it can be used for data wrangling. * Present ggplot and how it can be used to produce graphs. * Introduce RMarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians.
Source: Eurostat (Data extracted on: 30 Nov 2022 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: The objective of the course is to introduce participants to some advanced techniques of non-response treatment, variance estimation, calibration and sample coordination. Theoretical concepts and findings will be illustrated by examples and practical exercises. The course starts with an introduction to the R software, which will allow participants to better understand practical applications of presented survey techniques and their successful implementation in practice.
Target Audience: Junior or senior staff of methodology divisions using sample survey techniques in the production of statistics or staff with comparable knowledge.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP ILO
Description: The causes and consequences of informal employment and employment in informal sector and their impact on achieving sustainable development continues to gain attention in national development agendas. The evidence in developing and emerging economies shows that on average more than half of the employment in non-agricultural sectors are informal and this rate can reach as high as 80% in some countries. Thereforeevery national policy targeting povertysocial protectionor decent work needs to recognise the role of the informal economy in national development. Yetthe lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies. This regional training course brings together statisticians and labour analysts from Asia-Pacific national statistical systems to discuss technical aspects and share experiences in the production and use of statistics on informality
Organizer(s): UNSD Global Partnership for Sustainable Development Data INE Uruguay UNCEBD UN MGCY AWS UN Big Data Regional Hub in Brazil UN Big Data Regional Hub in China UN Big Data Regional Hub in Rwanda UN Big Data Regional Hub in the United Arab Emirates ECLAC Statistics Indonesia Statistics Canada ONS United Kingdom Oblivious OpenMined World Food Forum
Description: Leverage technology and your expertise to develop innovative solutions for a more sustainable and equitable future. Join us on this journey of innovation, exploration, and problem-solving as we harness the power of data to create a more sustainable and resilient world. Datathon participants will develop innovative data-driven applications, tools or statistical models combining geospatial data with other data sources to help advance the implementation of the Sustainable Development Goals. Register today!
Description: Under the Data For Now initiative, a knowledge exchange event was organized between Ghana Statistical Services and Statistics Sierra Leone on marine litter data and citizen science, in Accra from 2-3 November 2023. The meeting was hosted by SDSN TReNDS, the Ghana Statistical Services and the Ghana Environmental Protection Agency. The knowledge exchange event is to foster collaborative learning by sharing experiences, lessons learned, challenges and opportunities for collecting marine litter data with a special focus on harnessing citizen science data. The exchange aims to explore sustainable strategies, for expanding data collection efforts and enhancing cross-country cooperation within the Data For Now Initiative. UNSD presented its work around the Collaborative on Citizen Data.
Description: On 11 January 2023, the Expert Group on National Quality Assurance Frameworks conducted its 29th meeting via Teams. During the meeting, UNSD presented the updated survey results on the implementation of quality assurance in countries and expressed its gratitude to countries that have responded to the survey. The meeting also reviewed the updated Roadmap for the implementation of a national quality assurance framework, which was revised based on the feedback received at the Workshop for African countries on 6-9 December 2022. Furthermore, the Expert Group discussed the format and agenda for the side-event on data quality at the 54th session of the Statistical Commission. At this year’s Commission the item on data quality will be for discussion and decision. Nine countries and four international and regional organizations attended the meeting, with a total of 21 participants.
Description: This course, presented by the IMF Statistics Department, is based on the conceptual framework of the 2008 System of National Accounts (2008 SNA). It covers advanced methodological and practical issues related to the compilation of the sequence of accounts of the SNA (current and capital accounts, financial accounts, other changes in volume of assets accounts, revaluation accounts, and balance sheets) byinstitutional sectors. The course will also examine the linkages between institutional sectors as a basis for establishing from-whom-to-whom accounts. The aim of the course is to provide participants with the necessary skills to compile-or further enhance-their country's institutional sector accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues, workshops sessions on practical compilation issues, discussions on emerging financial issues such as fintech and crypto assets. It will review case studies involving new applications of ISA such as household distributions to examine income, consumption and wealth accumulation by various cohorts and intergenerational transfers and pensions. The myriad ways in which the ISA supports economic policy will also be examined. The lectures will provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral institutional sector accounts and balance sheets, examine potential data sources for the compilation of annual and quarterly ISA, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral institutional accounts and balance sheets.
Description: Concept Note Many statisticians associate the International Statistical Institute (ISI) with the biennial ISI World Statistics Congresses (WSC), while this is just one among many initiatives ISI has spearheaded over its 138-year history, in order to “promote the understanding, development, and good practice of statistics worldwide." ISI spells out its vision, being the one and only outstanding independent international statistical organization that a) sets the global standard for ethical practice in statistics, b) connects its members and shares the most recent developments in statistical techniques and practices, c) offers high-quality scientific content and support the development of statisticians from all over the world. Join us at this Stats Café session, to learn more about ISI and what it can mean to you. This session will overview ISI and its offerings, with a focus on its roles in ethical practice, and fostering the production and sharing of high-quality scientific content plus the development of statisticians. Relevant links: https://www.isi-web.org/ Agenda Moderator: Gemma Van Halderen, Elected member of the International Statistics Institute and former focal point for the Association’s Young Statistician Prize. Opening remarks: Gemma Van Halderen, Chief Data Officer, Data and Evaluation Group, Australian Government Department of Social Services Touching upon the ISI and its offerings, Oliver Chinganya, Director, African Centre for Statistics, UNECA, and ISI Vice President ISI advocating ethical principles in statistics, Walter Radermacher, chair of the Advisory Board on Ethics of the ISI ISI promoting official statistics: the Statistical Journal of the International Association for Official Statistics (SJIAOS), Lisa Grace S. Bersales, member of the executive committee of the International Association for Official Statistics and former member of the editorial team of the SJIAOS ISI promoting survey statistics: the International Association of Survey Statisticians (IASS), Natalie Shlomo, President of IASS ISI and statistical capacity building in the ESCAP region, Matthew Shearing, Co-Chair of the ISI Statistical Capacity Building Committee Q & A and discussion Closing remarks: Rachael Beaven, Director, Statistics Division, ESCAP , Stats Café Home: Upcoming events Concluded events
Description: Classification of the Functions of Government (COFOG) is a classification defined by the United Nations Statistics Division and adapted to the IMF government finance statistics (GFS) reporting framework. COFOG enables trends in government expenditure by function (e.g., defense or education) or policy purposes to be examined over time. The value of this is that expenditure by functions of government of different countries can be compared. Participants will gain an understanding of how the ten functions of government as described in the GFSM 2014 are classified, how to categorize expenditure data to generate a functional split will be explained and how it should reconcile with the economic classification of expenditure data used in the GFS. Participants should feel comfortable to present and discuss relevant data of their own country. Practical exercises with participants working in random groups will feature throughout the course enabling them to be able to appropriately categorize expenditure data to the correct functional categories.
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat
Description: Do you want to find out more about job skills utilisation in the EU? To mark European Statistics Day, which was celebrated on 20 October, and the European Year of Skills, this webinar on jobs skills offers insights on the statistics available in this field. It can help you understand important topics such as: * skills demand and supply in the labour market; * educational attainment levels; * the level of digital skills; * specifics of working time. These data come from various statistical sources: the EU labour force survey (LFS), job vacancy statistics (JVS), and the EU survey on the use of information and communication technologies (ICT) in households and by individuals.
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat CZSO Czechia
Description: The 9th EMOS workshop will take place on 26 and 27 October 2023 on the premises of the Prague University of Economics and Business in Prague, Czech Republic, bringing together representatives of EMOS-labelled master’s programmes and of organisations producing official statistics, EMOS Board members, EMOS students and graduates, European Central Bank and national central banks, international organisations and Eurostat. With a deliberate structure aimed at nurturing effective collaboration, this workshop aims to harness the richness of diverse perspectives in shaping the future of EMOS. Thursday, 26 October 2023 On the first day of the workshop, Thursday, 26 October, participants will gather to gain insights into the latest developments shaping European statistics and to explore relevant activities in the higher education sphere at the European level. After this, two key topics – internships and employability of EMOS students and collaboration and cohesion in the EMOS network – will be explored from a range of different perspectives in panel discussions. The programme will be concluded at 17:30 and followed by a social dinner. Friday, 27 October 2023 The second day of the workshop, Friday, 27 October, will be organised by the contracted study team responsible for assessing the future of EMOS. This day's program is designed to foster interactive group work, facilitating in-depth discussions and the collaborative generation of ideas, culminating in a plenary session. The main objective of Day 2 is to co-create viable options for the future development of EMOS alongside its key stakeholders. Through group work, participants will actively engage in brainstorming and idea-sharing sessions. The focus will be on identifying potential barriers and challenges that may arise during the implementation of these proposed solutions.
Description: International Statistical Classifications are an essential component of the statistical infrastructure. They ensure quality and relevance of statistics and their comparability across time and domains, e.g., output, trade, employment, balances, etc. International classifications are also essential to guarantee international comparability and therefore monitor global trend and phenomena in a reliable manner. In an increasingly interconnected world, classifications can play an important role for the integration of statistics across domains as long as the underlying concepts are clearly identified and to the extent possible linked. The revision and maintenance of classifications requires continuous and dedicated efforts to ensure that the classifications reflect the reality and support sound policymaking and informed decisions.
The Sprint is jointly organized by UN Network of Economic Statisticians and the UN Committee of Experts on International Statistical Classifications to raise awareness of the importance of international classifications with both internal and external users; advance outreach by the Committee of Experts on International Statistical Classifications to engage NSOs; provide an additional forum for discussing and sharing modern ways of updating and implementing classifications; and highlight the importance of investing in classification work as a foundation for data integration.
The Sprint consists of three webinars. The first webinar will explore the role of statistical classifications for data integration . It will raise awareness of the importance of international statistical classifications with both internal and external users and highlight the importance of investing in classification work as a foundation for data integration by showcasing real life applications inside and outside NSOs.
Description: Two broad categories of voices may be missing in household survey data. The first is people from types of households that are often missed – the very rich and the very poor; and marginalized groups such as indigenous people, unhoused people, or those living in institutional settings. The second category is people who live in households that are surveyed, but whose voices are missed when only one member of the household is interviewed. For instance, when only the household head is interviewed, the voices of women, youth, and the elderly may not be heard. This webinar will present recent research on ways to ensure that data is collected on all members of the household as well as to show the added value of exploring the insights gained when more than one person in the household is interviewed.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objective: To provide participants engaged in statistical, technical and other analytical training, presentations, consulting and facilitating group discussions with enhanced levels of competence and the expertise required to be effective in understanding and managing groups and individuals. It provides excellent insights into ‘statistical consulting’ which is frequently part of the statistical trainers’ role.
Target Audience: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences.
Source: Eurostat (Data extracted on: 24 Aug 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to offer an overview on the various necessary steps to compile a supply-and-use system and for the transformation of the resulting data in matrices, focusing on practical examples on how that compilation is made. The second objective is to provide an introduction into input-output analysis and to show how this technique may be used for structural analyses. In particular the course aims at illustrating in which fields input-output analysis can be used to address questions of high political relevance.
Target Audience: The course is targeted at ESS staff interested in the principles of compiling supply and use tables according to ESA2010 and in understanding the main concepts and the potentials of input-output analysis for empirical investigations of high political relevance.
Description: The Expert Group on National Quality Assurance Frameworks (EG-NQAF) and its Subgroup on Quality Culture hosted a virtual Global Seminar on Quality Culture. The Seminar emphasized the crucial role of establishing and maintaining a quality culture for official statistics within national statistical systems for achieving continuous quality improvements. The Seminar brought together presentations of four countries (Colombia, Norway, Niger and United Kingdom) to showcase best practices in the implementation of a quality culture, addressing challenges, and discussing expectations for the work of the Subgroup on Quality Culture. The event facilitated exchanges on the different dimensions, aspects and approaches to establishing a quality culture, highlighting the interlinkage between quality culture and the national quality assurance frameworks. The Seminar was attended by 48 international experts and colleagues. The presentations are available on the event website.
Description: During this joint webinar by the UN Global Network of Data Officers and Statisticians, the UN Food and Agriculture Organization (FAO) of the UN, and of the UN Datathon 2023 we were happy to welcome Aida Khalil, Oluwakayode Anidi, and Max Shang from FAO who talked about how to unlock food and agriculture microdata through the FAM Catalogue. The Food and Agriculture Microdata (FAM) Catalogue was launched by the FAO in 2019 to promote increased access to food security, nutrition, and agriculture-related microdata. As of today, the FAM Catalogue hosts over 1,300 surveys and censuses, providing easy access to their relevant documentation, metadata and, in most cases, microdata. Primarily targeted to FAM current and potential users, the webinar will focus on the Catalogue's main features, its publication workflow and supporting technologies, and on the different microdata access modalities in place. During this webinar the presenters also illustrated some of the datasets available on FAM that could be used in the context of the UN Datathon 2023.
Description: Starting with a question, a knowledge gap, and looking for an answer through data. This certification programme aims to provide development practitioners with the knowledge, methods, tools and software solutions to gather, store, process, analyse, visualise, and utilise qualitative and quantitative data to meet the information needs of an organisation and its stakeholders. With the technological advances of recent years, the amount of data and its potential have multiplied, but together with the risks of data manipulation and misinformation. This situation calls for stronger evidence-based management in the public sector and in development cooperation. Through this certification programme, participants develop their data analysis skills to generate and manage knowledge that ultimately inform decision-making. The course relates to the phases of the policy and programme cycles and prepares for the identification of need of knowledge and data in order to - inform strategic intervention planning - the development of evidence-based development models and theories of change - allow adaptive and agile management fed by an up-to-date and on demand data and evidence availability - strengthen evaluation robustness on the basis of solid data collection, analysis and knowledge provision - underpin organisational development based on ready availability of data and analysis - enhance external communication fed by credible evidence
Target Audience: This certification program on data analysis and knowledge management for development is intended for a wide range of actors active in the field of development cooperation, in the public sector or the third sector who want to improve evidence-based management processes: technical specialists, programme and project managers, monitoring and evaluation officers, evaluators, programme managers. Members of the research community involved in the identification, design, implementation and evaluation of development policies, programmes and projects are also invited to participate.
Description: Weighting is one of the major components in survey sampling. For a given sample survey, to each unit of the selected sample is attached a weight that is used to obtain estimates of population parameters of interest (e.g. means, totals, rates). The weighting process usually involves three steps: (i) obtain the design weights, which account for sample selection; (ii) adjust these weights to compensate for nonresponse; (iii) adjust the weights so that the estimates coincide to some population figures known from external trusted sources. The principle behind estimation in a probability survey is that each sample unit represents not only itself, but also several units of the survey population. The design weight of a unit usually refers to the average number of units in the population that each sampled unit represents. This weight is determined by the sampling method and is an important part of the estimation process. While the design weights can be used for estimation, most surveys produce a set of estimation weights by adjusting the design weights to improve accuracy of the final estimates. Once the final estimation weights have been calculated, they are applied to the sample data in order to compute estimates. The ILO Department of Statistics, in collaboration with the ITCILO, is proud to offer the Online course "Weighting Methods & Strategies". This course is directly linked to the course "Sampling Design: A Practical Approach" planned to take place in the spring of 2023 as both courses complement each other. Both courses are considered a learning journey that qualifies the learner to understand comprehensively Sampling design & weighting. Hence, attending both courses is strongly recommended for a fulfilling learning journey.
Target Audience: This course requires basic knowledge of statistics and probability! - It requires basic capacity to run procedures on statistical software using syntax (e.g. Stata do files, Spss syntax files, R scripts, Sas program files, etc.), and in particular with R3. The target audience includes: - Statisticians and practitioners from national statistical offices that have a role in designing household surveys samples.
Description: The course aims to enhance national capacities in the latest, most up-to-date statistical sampling techniques and methods, survey planning and data weights.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Nowcasting refers to the practice of using recently published data to update key economic indicators that are published with a significant lag, such as real GDP. The aim of this course is to familiarize participants with cutting-edge nowcasting tools that facilitate the use mixed-frequency data in regression models. The course begins by establishing the importance of nowcasting for more timely and appropriate policy formulation during crisis periods such as the GFC or COVID-19. It then reviews the standard nowcasting regression-based procedures available, including the BRIDGE, MIDAS, and U-MIDAS estimators, both with and without dynamic factors. The course also reviews the more general state-space/Kalman filter approach to formulating and estimating a nowcasting model with mixed-frequency data. Procedures for combining nowcasts from the distinct models are considered, along with statistical procedures for evaluating the accuracy of a sequence of nowcasts. Each topic is complemented by a hands-on workshops and assignment using country-specific data using the EViews econometric package. The workshops and assignments are an integral component of the course designed to illuminate the actual steps required to generate a nowcast.
Description: This was first in a series of regional expert consultations and meetings to enhance national geospatial information management arrangements and accelerate the achievement of the SDGs. It was convened from 23-28 November 2023 on ECA premises with the support of the Geospatial Information Management Section (GiMS) in ECA. The consultation engaged geospatial leaders from Burkina Faso, Cameroon, Cote d’Ivoire, Ethiopia, Mozambique, and South Africa. Staff from ECA and UNSD, including the Director of the recently established United Nations Global Geospatial Knowledge and Innovation Centre (UN-GGKIC) in Deqing (China) as well as invited resource persons participated. The group energetically interacted providing guidance and reviews on their national efforts, challenges, and accomplishments towards implementation of the United Nations Integrated Geospatial Information Framework (UN-IGIF) in African countries, particularly through UN-IGIF Country-level Action Plans. This included sharing challenges and accomplishments in engaging and working with colleagues across government, including national statistical offices, to integrate geospatial information, statistics, and other relevant data to produce ‘geospatially disaggregated’ indicators for visualizing and ‘story telling’national development priorities and the SDGs. In this regard, the group also provided valuable contributions to improve the recommended approach and related guides, resource materials and tools developed to support national efforts towards implementing the SDGs with the UN-IGIF. This highly interactive peer-to-peer learning approach benefited from the selfless sharing of real frustrations, accomplishments, joys, and pains to improve the visibility and impact of national geospatial programs and entities, and their contribution to national development. In this process, the group highlighted the importance of leadership –including personal commitment and passion – and strategies that can be employed to grow geospatial leadership in organizations and across government. A key element for success is having good governance structures and institutional arrangements in place, including government mandates and resources to ensure the sustainability of the UNIGIF. They also highlighted the importance of effective communication, and engagement, not only within their organizations, but also across government and amongst partners and stakeholders. The need to provide key messages and build multi-agency collaboration was referenced several times throughout the week. The geospatial leaders from Africa gratefully acknowledged the valuable support they are receiving from UNSD and the SDG Data Alliance in their journey of learning and discovering, allowing them to improve their national geospatial information management arrangements, and supporting the achievements of national development priorities and the SDGs. They confirmed the efficacy of the United Nations recommended ‘self-pace, learn and discover’ approach to develop their UN-IGIF Country-level Action Plans and the importance of demonstrating impacts through the use of enabling geospatial technologies including SDG Data Hubs. However, whilst appreciating the support and assistance thus far, the group requested further support be made available to the many other countries in their continent that are willing and ready to enhance their national geospatial information management capabilities and capacities. Noting that the overarching goal of the UN-GGKIC is to work towards the ambitions of implementation of the UN-IGIF, and to provide technical assistance and capacity building for national SDG monitoring and reporting and allowing greater availability and visibility of country data at sub-national, national, regional and global levels, it was agreed that the UN-GGKIC will be a key ‘implementation mechanism’ of the UN-IGIF in the years ahead, and is also well placed to support the ongoing work of the SDG Data Alliance. In discussions, the group of also requested that a geospatial leadership and executive training program could be established within the program of the UN-GGKIC as a tangible outcome to decision 13/101(h), where the Committee of Experts, at its thirteenth session, recognized the “efforts of developing countries to enhance and support the leadership roles within national geospatial and mapping agencies to ensure that effective geospatial information management contributes to increased geospatial capacities and capabilities, and shared knowledge for geospatial enablement across and within Member States”.
Source: Eurostat (Data extracted on: 03 Jul 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The objectives of this course are: * This course shall democratize the use of blockchain technology; * Understand the cryptographic principles behind blockchains; * Understand the components of blockchains; * Get to know impactful use cases of diverse blockchains; * Get to know the ecosystems of available blockchains and tools; * Develop an application on the Ethereum blockchain for Official Statistics.
Target Audience: Official statisticians/data scientists working on methodology.
Source: ESCAP SIAP (Data extracted on: 06 Sep 2023 )
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Organizer(s): ESCAP SIAP WHO
Description: SDG 3.8.2 indicator is focused on relatively large Out-of-Pocket (OOP) health spending which might lead to cutting spending on other basic needs such as educationfoodhousing and utilities.Butrecognizing that for poor and vulnerable people it is the absolute level of OOP health spending that is crucial – even if it represents less than 10% of a household’s total consumption or income (budget) – indicators of impoverishing health spending are also used to track the lack of financial protection in health and demonstrate the interdependency between SDG 1 “End poverty in all its form everywhere” and SDG target 3.8 on “Universal health coverage”. Specificallythese additional indictors include the proportion of the population impoverished or further impoverished by household expenditures on health using different poverty lines.The Subregional Training on Monitoring Financial Protection in Health will explain in detail the rationale to track SDG indicator 3.8.2why additional indicators are needed and how the monitoring framework can be expanded to support relevant policy discussions. This training will also discuss the data requirements to monitor the lack of financial protection in health.
Description: Main objectives of the Workshop include advancing the implementation of IMTS 2010 recommendations, including issues of scope and coverage, bilateral asymmetries, quality and data comparability, data dissemination, analyses and uses, among others. Participants will discuss analyses of topics of interest on the compilation of international merchandise trade statistics; ways of strengthening the generation of the statistics, including the El Salvadorian International Merchandise Trade System and other experiences in this regard. Furthermore, the Workshop will discuss emerging issues on trade statistics, including the revision of the trade manuals.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat EFTA Statistics Norway
Description: To create an awareness of the possibilities and challenges of mixed mode questionnaire design generally, and for IESS surveys specifically.
Target Audience: Pretesting, data collection and subject matter specialists conducting or planning mixed mode data collection for social surveys covered by the IESS framework regulation.
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat
Description: The objective of this course is to introduce participants to the practice of output checking for confidentiality risks. The course focuses on output that is generated by researchers from official microdata. In most cases researchers will have had access to microdata through the Research Data Centre of the data producer to produce the output. The participants will be invited to bring their own case studies for discussion in the training.
Target Audience: Staff members dealing with statistical confidentiality, especially staff in Research Data Centres or Safe Centres. The course is intended for staff checking output that was created by external researchers or output from varying statistical analyses created by colleagues in statistical offices.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * To provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment; * To train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of revisions; * To prepare and to motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending (new plug-ins) the tool.
Target Audience: Advanced users of seasonal adjustment methods involved in regular/massive data production and/or developers involved in the integration of SA methods in their IT environment wishing to enhance their knowledge of the JDEMETRA+ tool and/or using or potentially developing relative plug-ins. Ideal participants are either young statisticians with some interest in IT or young IT specialist with some interest in statistics. People currently using TRAMO/SEATS and/or X12 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version.
Jointly organized by the Inter-secretariat Working Group on Household Surveys (ISWGHS) and the Global Network of Data Officers and Statisticians, the webinar discusses various approaches to be integrated and implemented in future household surveys – within existing household survey programs and country-specific household surveys. The speakers will explore both customization and integration of data elements proposed in the paper for major household programs and the opportunities for technical support provided to National Statistical Offices (NSOs) by the Expert Group on Refugee, IDP and Statelessness Statistics (EGRISS) on the integration of identification questions in stand-alone national surveys. The webinar will be presented by UNHCR, MICS and a national presentative. More information about this work is available at EGRISS and JDC.
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014, which is harmonized with the System of National Accounts (SNA 2008). The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Description: This course, presented by the Statistics Department, focuses on the conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014), with an emphasis on new concepts introduced in GFSM 2014. The course requires that participants are familiar with the basic GFS framework and classification system. Emphasizing the integrated GFS framework, the course addresses complex cross-cutting GFS issues, such as social protection, government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and public sector balance sheets. It also examines coverage of the public sector, giving special attention to borderline and complex cases. The course discusses internal and intersectoral data consistency, coordination between data-producing agencies, as well as data presentation and communication with users. The format is lectures and discussions.
Description: This course focuses on the conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014). The course requires that participants are familiar with the basic GFS framework and classification system. Participants should also have experience in compiling GFS from national source data. Emphasizing the integrated GFS framework, the course addresses some complex cross-cutting GFS issues that we have found to be pertinent to improving data quality. It also examines coverage of the public sector, giving special attention to borderline and complex cases. The format is lectures and exercises. Participants will be requested to propose topics related to methodological concepts that they have found problematic in compiling GFS.
Description: Employment impact assessment is key to increasing the effectiveness of policies intended to promote decent jobs. In times of crisis of the kind the world is currently facing, the importance of timely and accurate assessment is greater than ever. In the light of these issues, the aim of this course is to improve the design and implementation of policies for the creation of decent jobs by building the capacity of all relevant stakeholders to identify, measure and assess the effects on employment of economic, sectoral, trade-related and labour market policies. Special attention will be paid to assessment of the impact on employment of pandemics like COVID-19.
Target Audience: This course will be of particular interest to: - Government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; - Staff of programme-management teams from private-sector entities, non-governmental organizations and community-based organizations; -Operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Description: This is a comprehensive training course that covers application of R in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in data management, analysis and interpretation.
Target Audience: Planners; Policy Makers; Statisticians; Economists; Monitoring and Evaluation Officers; Researchers and the Academia.
Organizer(s): IEA ESCWA Regional Center for Renewable Energy and Energy Efficiency
Description: Recognising the importance of accurate energy statistics for evidence-informed policymaking, the International Energy Agency (IEA) is organising a one-day training workshop on energy data in collaboration with the United Nations Economic and Social Commission for Western Asia (UNESCWA) and the Regional Center for Renewable Energy and Energy Efficiency (RCREEE), targeting national statisticians and energy analysts across the MENA region. All three organizations aim to strengthen partnerships with stakeholders in energy policymaking. The IEA collects, assesses, and disseminates energy statistics on supply and demand, compiled into energy balances in addition to a number of other key energy-related indicators, including GHG emissions estimates, energy prices, end-use data and energy efficiency indicators, with other measures in development. The UNESCWA provides support and capacity-building for national systems in official statistics and ensures coordination between various actors involved in statistical activities in the region. RCREEE partners with various stakeholders including governments and international organizations to lead the renewable energy development efforts in the MENA region. The workshop is built on the key topics identified with stakeholders in the region and targets national officials with experience around data or being users of data at technical level: from daily practice of data collection and validation, to managing projects with strong components of data collection or use. It will facilitate information exchanges and discussions among national statistics offices of the MENA region and international energy organisations, with the objective to increase awareness on the importance of energy statistics, through knowledge sharing, lectures, exercises, and discussions.
United Nations Statistics Division (UNSD), in collaboration with the United Nations Economic Commission for Western Asia (ESCWA), is organizing a three-day Regional Workshop on Time Use Statistics: Methods and Uses in Tunis, Tunisia. The event will take place on 10-12 October 2023.
The objective of the workshop is to develop national capacities on the methodology to collect and regularly produce comparable high-quality time-use data in cost-effective ways by adopting innovative and digitalization data collection methods; to analyze data to inform and answer policy questions; and to better understand progress towards the 2030 Agenda for Sustainable Development. The workshop will provide the opportunity to share the updates to the UN Guidelines on time-use statistics and to provide hands-on training on the adaptation at the national level of proposed methods to collect, analyse, disseminate, and communicate time-use data, including time spent on unpaid care and domestic work. It is expected that the newly developed tools will lessen the burden on respondents and the high cost associated with paper diaries and improve data quality.
Description: This course, presented by the IMF Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014, the update of the 2001 edition), and on practical aspects of data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the new methodology, which is harmonized with the system of national accounts. The course examines GFS coverage and accounting rules (including accrual accounting), valuation, classification, debt, balance sheets, and the sources and methods used for compiling the statistics. It also deals with reporting data to the IMF. Central to the course is a series of case studies.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: This is a comprehensive training course that covers application of R in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in data management, analysis and interpretation.
Target Audience: Planners; Policy Makers; Statisticians; Economists; Monitoring and Evaluation Officers; Researchers and the Academia.
Description: On 10 July 2023, the Demographic and Social Statistics Branch organized a hybrid meeting on the above topic, in collaboration with the European Commission Joint Research Center, Eurostat and UN-Habitat. The meeting discussed the Degree of Urbanisation-DEGURBA method as a geospatial approach to the definition of cities, urban and rural areas in a harmonised manner across countries, which is particularly important for monitoring SDG 11 indicators on “Sustainable Cities and Communities”. The method was endorsed by the UN Statistical Commission in 2020, for international and regional comparison purposes. UN-Habitat, European Commission and UNSD are working towards building member states’ capacity for the implementation of this methodology as recommended by the Statistical Commission. Discussants from the Statistics Division, UNFPA and Eurostat exchanged lessons learned and the progress made in building capacity on the methodology. Data experts from UN-Habitat and the Joint Research Centre presented with examples how geospatial data are used to monitor human settlements and support census activities. Overall, the meeting highlighted the power of geospatial information to assess the urbanisation process and contribute to the localisation of the Sustainable Development Goals.
Title in Spanish: Taller para la generación de una hoja de ruta para la integración de información estadística y geoespacial de República Dominicana
Organizer(s): ECLAC ONE Dominican Republic IGN Dominican Republic
Description: La definición de una hoja de ruta permite avanzar en el proceso de integración de la información estadística y geoespacial siguiendo las recomendaciones de las Naciones Unidas.
Description: UNSD participated in an event on privacy-enhancing technologies (PETs), which brought together private sector, civil society and public sector experts. The main themes of the event were (1) how to unlock the power of sensitive data while protecting privacy, (2) ensure compliance with data protection regulations, and (3) accelerate R&D and AI development to improve business practices by ensuring that data collaboration and sharing across teams and organizations is secure and private. UNSD contributed to a panel discussion by explaining how national statistical agencies are exploring the benefits and challenges of using PETs to access, share and disseminate data. The UN PET Guide for official statistics was recently released. It provides guidance on the reasons why PETs can improve the delivery of services of statistical agencies, on the available methods for input and output privacy, and on the legal considerations which are in play when using PETs. Moreover, the PET Guide describes in detail 18 use cases which exemplify how PETs can be used in practice. One use case was described on combining education statistics with student financial aid, and one on the verification of detailed cross-border trade statistics between trading countries. As an outcome of this event, additional experts on PETs (from private sector and civil society) may join the UN PET Lab of the UN Committee of Experts on Big Data and Data Science for Official Statistics.
Description: Leading up to the UN Datathon 2023 UNSD in cooperation with the UN Committee of Experts on Big Data and Data Science (UNCEBD) and with support of the UN Committee of Experts on Geospatial Information Management (UN-GGIM) organized webinar exploring the crucial synergy between geospatial data and statistics in driving progress towards the Sustainable Development Goals (SDGs) within the realm of big data.Participants were invited to discover why integration matters, how to unlock creative data visualization techniques, and how to gain a deeper understanding of utilizing geospatial insights for the SDGs. The webinar, which was attended by approximately 480 participants, had a lineup of three excellent speakers in the field of integration of geospatial information and statistics. The first speaker was Claudio Stenner, co-chair of the United Nations Expert Group on the Integration of Statistical and Geospatial Information. He is a geographer with experience in regionalization, urban geography and geoprocessing and works at the in Brazilian Institute of Geography and Statistics (IBGE) where he is in charge of Brazil's 2022 Demographic Census on issues related to geography and its integration with statistics. In his talk he demonstrated the importance and potential advantages for society in the integration of statistical and geospatial information and introduced the attendees to the Global Statistical Geospatial Framework (GSGF) which allows this integration. The second speaker was Ken Field, who after 20 years of academic career, now talks and writes about cartography, teaches, and makes maps at Esri in California. He teaches a Massive Open Online Course on Cartography which had so far over 200,000 participants and is the author of two award-winning books, Cartography (2018) and Thematic Mapping (2021). In his talk Ken said that every map is a product of its maker, its reader, and multiple competing contexts. He argued that maps are rarely right or wrong but, instead, offer different versions of the truth. His talk explored how the design of thematic maps mediates the message using a range of examples based on Covid-19 and election maps. The ideas and techniques explored during his talk provide a strong foundation for use on any other empirical data, big or small, and including the SDGs. The third speaker was Britta Ricker who is a Digital Geographer and faculty member within the Copernicus Institute of Sustainable Development at Utrecht University in the Netherlands. Through her teaching and research, she focuses on the use of open data, open software, and open science for cartographic production. Her work bridges qualitative and quantitative research by identifying practical solutions for spatial data collection, management and effective geovisualization of the UN Sustainable Development Goals at the local and global level. In her talk she shared examples from her open access book published together with the Sustainable World” as well as some ideas for future SDG spatial data solutions. The webinar is part of a series organized by UNSD to prepare the participants of the upcoming UN Datathon 2023 for this big data and data science competition. The UN Datathon will take place in November world-wide and at 8 in-person locations with the main venue in Montevideo, Uruguay.
This webinar was jointly organized by the Inter-secretariat Working Group on Household Surveys (ISWGHS) and the Global Network of Data Officers and Statisticians. We welcomed speakers from the UK's Office for National Statistics (ONS) who presented on qualitative research with statistically under-represented groups within the Office for National Statistics.
Qualitative research methods typically involve the collection and analysis of non-numerical data, such as people’s accounts of their experiences, needs and priorities, and perspectives. Their inclusiveness, and ability to help researchers understand nuanced topics and maintain rigour with sample sizes much smaller than typical statistical research makes them perfect for investigating the experiences of groups who are typically under-represented in survey data.
Description: This webinar was jointly organized by the Inter-secretariat Working Group on Household Surveys (ISWGHS) and the Global Network of Data Officers and Statisticians. We welcomed speakers from the UK's Office for National Statistics (ONS) who presented on qualitative research with statistically under-represented groups within the Office for National Statistics. Qualitative research methods typically involve the collection and analysis of non-numerical data, such as people’s accounts of their experiences, needs and priorities, and perspectives. Their inclusiveness, and ability to help researchers understand nuanced topics and maintain rigour with sample sizes much smaller than typical statistical research makes them perfect for investigating the experiences of groups who are typically under-represented in survey data. The Qualitative Research Team at the ONS specialises in using methods such as in-depth interviews and focus groups to carry out exploratory projects, helping to understand the lived experiences of groups and communities who may not be otherwise counted due to issues of trustworthiness, being missed via the traditional data collection pathways, or the inability to disaggregate due to small sample sizes. The team have carried out 5 projects over the past 3 years, working with groups identified by the Inclusive Data Taskforce as under-represented in UK data. They shared an overview of their work with the Global Network of Data Officers and Statisticians to demonstrate the value of qualitative research and analysis both alone and as used alongside statistical data.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP
Description: This e-Learning course introduces the System of Environmental Economic Accounting -Ecosystem Accounting (SEEA EA)the agreed statistical framework for collecting such information on ecosystems and their relationship to human activity. The SEEA EA provides an integrated statistical framework for organizing biophysical information about ecosystemsmeasuring ecosystem servicestracking changes in ecosystem extent and conditionand linking this information to measures of economic and human activities. It supports the compilation of indicators for several global policy frameworks including the 2030 Agenda for Sustainable Development and the associated SDGs indicators as well as the Kunming-Montreal Global Biodiversity Framework. The course is being organized by the United Nations Statistics Division (UNSD) and the UN Statistical Institute for Asia and the Pacific (UNSIAP)under the overall guidance of the UN Committee of Experts on Environmental Economic Accounting (UNCEEA).
Description: This five-day virtual course, conducted by the IMF Statistics Department as three-hour daily sessions, will familiarize participants with key climate change related indicators that can be developed to better inform economic and financial policies. The statistics covered include Environmental revenues and expenditures, Natural Resource Accounts, Physical and Transition risk indicators, Air Emission Accounts and indicators of Sustainable Finance. The course consists of a series of lectures giving overview of methods for compiling climate change-related indicators, and insights into the analytical uses of the climate change-related indicators.
Description: Employment data on tourism are fundamental for understanding labour markets and formulating relevant policies for job creation, promoting employment opportunities, planning workforce needs and contributing to human resource development. Collecting this data also allows to address education and relevant training needs. This is important as the tourism sector suffers from a shortage of workers with the required minimum qualifications or skills, and as a motivated and skilled workforce is a key element for a destination’s competitiveness and sustainability. In addition, gender and decent work issues are important aspects of socio-cultural sustainability. Relevant gender-disaggregated data should allow to identify the share of women employed in tourism and owning tourism enterprises, the level of seniority in employment and existing pay- gaps. It also makes it possible to monitor the quality of jobs and, consequently, the wellbeing of the employees and their families. However, measuring tourism labour markets remains a challenge. Despite existing international recommendations, the different measurement methods and data sources result in fragmented outcomes. This INSTO INSIGHTS webinar discussed the experiences and lessons learned by selected experts and members of the UNWTO International Network of Sustainable Tourism Observatories (INSTO) in the field of measuring and monitoring employment at the destination level. The webinar derives directly from the 11 mandatory key issue areas for INSTO members and touched also upon the initiative Towards a Statistical Framework for Measuring the Sustainability of Tourism (MST).
Source: IMF Metac (Data extracted on: 23 Apr 2024 )
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Organizer(s): IMF Metac
Description: In collaboration with the IMF's Middle East Center for Economics and Finance (CEF), METAC conducted a five-day workshop on Measuring Financial Services. The workshop was attended by 30 participants from 11 Arab countries and covered the techniques and methods used to estimate financial services in nominal and volume terms, their impact on the sequence of accounts, and estimation of financial institutions’ output, intermediate consumption and gross value added as recommended by the 2008 System of National Accounts.
Description: The objective of this virtual seminar is to provide Member States and interested parties with the conceptual foundations related to the five principles of the United Nations Global Statistical and Geospatial Framework, to enhance the use of integrated statistical and geospatial information.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Make the participants aware of what is involved in the acquisition of PHD for use in official statistics, including the European legal and policy background and what is needed for developing partnerships. The course should enable the participants to apply the acquired knowledge in roles such as developing policies concerning the acquisition and use of PHD and developing partnerships.
Target Audience: Staff from NSIs who are involved or wish to become involved in the acquisition of privately held data (PHD) as a source for official statistics. This engagement may come in different shapes, such as involvement at a legal or policy level, in negotiations with holders of PHD or stakeholders engagement.
Description: The UN Statistics Division is organizing a one-day workshop on citizen-generated data. The workshop aims to familiarize participants with various global frameworks that govern official statistics; and facilitate an exchange of experiences and peer-learning on leveraging CGD for public policy, including challenges faced and lessons learnt on how to overcome the challenges. Some of the topics that will be covered include, but not limited to:
Data collection and validation
The use of CGD for public policy
Quality assurance
Ethical considerations and rights-based approach to data
Description: UNSD co-organized a high-level event titled 'Unlocking SDG 16.9: Leveraging the UN Legal Identity Agenda for Leaving No One Behind.' The event engaged high-level representatives, including Ministers, Directors-General, and heads of agencies within the CRVS (civil registration and vital statistics), health, and National ID management sectors and attracted a wide audience including around 90 representatives of Member States, multilateral and international organizations and civil society organizations. The event provided an opportunity to discuss strategies for accelerated achievement of universal birth and death registration and legal identity for all in six countries that collectively account for half of the global burden of unregistered children: Bangladesh, the Democratic Republic of Congo, Ethiopia, India, Nigeria, and Pakistan. It provided a platform for sharing knowledge, fostering collaboration, and promoting best practices to ensure that legal identity is accessible to all, thereby advancing progress toward SDG 16.9. The United Nations Legal Identity Agenda, endorsed by the Deputy Secretary-General, was launched as a One UN approach to assist Member States in building holistic, country-owned, and sustainable civil registration, vital statistics, and identity management systems. UNSD serves as a custodian of international statistical standards, methods, and guidelines on these topics, and together with UNDP and UNICEF, co-chairs the UNLIA Task Force - composed of 13+ UN agencies - supporting Member States in delivering the 2030 Agenda commitments.
Description: The definition of statistical units is a recurring issue in the domain of sample surveys. Indeed, not all the populations surveyed have a readily available sampling frame. For these populations, the sampled units are distinct from the observation units, which constitute the population of interest on which we are willing to infer. This issue has been raised for a long time for studying populations that are difficult to reach, e.g. homeless people.To deal with this issue, Deville and Lavallée (2006: Surv. Methodol., 32(2), 165-176) proposed the so-called weight share method. It is based on a principle of duality between the sampled population and the observed population, where a variable of interest defined on the observed population may be written as a synthetic variable defined on the sampling frame. Because it creates a link between the observation units and the sampling units, this method enables the properties of the sampling design to be used to define unbiased estimators of totals for the observed populations, and to derive variance formulas.This work deals with the extension of this method to the case when the sampled population is a continuous frame. We are particularly interested in applications encountered in forest inventories, in which it is common practice to use a sample of points selected in a continuum and then fixed-shape supports defined from these points to perform the survey on a discrete population of trees. The approach which consists of transporting a variable from the discrete population to the continuous population is not new, see for example Stevens and Urquhart (2000: Environmetrics, 11, 13-41) or Gregoire and Valentine (2007: CRC Press). However, the link between the units from the population sampled and the units of the target population are only implicit in these works. The weight share method is a very useful and simple tool to formalize this approach, and enables one to produce general formulas for both point estimators and variance estimators. We will present an application of this approach for formalizing estimation and variance estimation in the French National Forest Inventory. We will also present a possible application to spatial cluster sampling. This is based on joint work with Olivier Bouriaud (Université de Suceava, IGN), Philippe Brion (Irmar), Trinh Duong (IGN) and Minna Pulkkinen (IGN).
Description: The World Health Organization, Regional Office for South-East Asia (WHO/SEARO) is organizing a regional workshop on strengthening the national civil registration and vital statistics (CRVS) system from 26 to 29 September 2023 in Bali, Indonesia. The primary objective of the workshop is to build countries capacities in developing strategic and operational action plans to strengthen the national CRVS system core business processes, to improve data completeness, quality and use (with more focus on mortality statistics) so as to strengthen evidence based operational plans and policies and enhance accountability. The specific objectives of the workshop are to: 1. review the progress to date countries have made in strengthening their CRVS system core business processes and to identify the key gaps and challenges faced in achieving further improvements; 2. discuss and bring into the focus the importance of a comprehensive system approach to strengthen CRVS system and build capacities for reporting of death and cause of death data with protocols for data management, analysis and use. Where necessary, the system approach will address specific issues related to legal, administrative and technical factors that need attention for CRVS improvement; and 3. guide countries in developing a national strategic action plan for implementing a system approach including use of digital technologies to strengthen CRVS, with a focus on data outcomes in terms of production of reliable mortality and cause of death data; 4. support countries in designing an initial implementation plan that targets the production of reliable vital statistics for a pilot set of population clusters, as a 'proof of concept', by mid/end 2025; and 5. develop a broad road map towards improving the national and regional mortality statistics in the short- (2023/2025) to medium- (2026/2028) to long- (2029/2030) term with a notional set of milestones and targets. The participants will be relevant ministries for CRVS work from countries in our region and international partners.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The objectives of the course are: * Present the essentials concepts of open data and linked open data; * Improve data management skills in exploring feasible data sources, finding publications, data portals and how to publish them.
Target Audience: Official statisticians (including process managers) with data management skills, who are interested in exposing data and metadata assets using linked data principles. The course is not meant to be targeted exclusively at IT specialists but can also be useful for staff involved in dissemination.
Description: For this Global Network Webinar we were happy to have with us Pau Garcia, media designer and founder of Domestic Data Streamers, who talked about Artificial Ignorance and Probabilistic Stories. This talk discussed the ethical considerations of utilizing AI in creative industries, exploring its power to produce both astonishing potential and dangerous consequences. It will examine how AI can have unseen impacts and the responsibility of creatives to ensure the safety of their work and the people they work with. Pau Garcia a media designer and founder of Domestic Data Streamers. Since 2013, the Barcelona-based studio has been producing immersive “info-experiences” for institutions like the United Nations, Tate Modern, and Citizen Lab. Garcia is chair of the Master in Data in Design at ELISAVA and has lectured at the Hong Kong Design Institute, the Royal College of Arts, Politecnico di Milano, and the Barcelona School of Economics. He also founded HeyHuman!, an artist residency program that combines music, journalism, data for art research, and social justice.
Source: Eurostat (Data extracted on: 25 Jan 2024 )
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Organizer(s): Eurostat
Description: Do you want to find out more about the wide range of transport statistics available at Eurostat? This webinar gives you valuable insight into European statistics on the transport of goods and passengers, accidents in transport, data on vehicle registrations and rail infrastructure as well as statistics at regional level. The transport statistics team of Eurostat presents interesting indicators on selected transport statistics, covering aviation, maritime, inland waterways, road and rail transport. Indicators on the share of each mode of transport in the total transport performance are also presented.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP IMF STA
Description: CPIs measure changes over time in the general level of prices of goods and services that households acquire (use or pay for) for the purpose of consumption. In many countriesthey were originally introduced to provide a measure of the changes in the living costs faced by workersso that wage increases could be related to changing levels of prices. Howeverover the yearsCPIs have widened their scope and now are widely used as a macroeconomic indicator of inflationas a tool by governments and central banks for monetary policy and for monitoring price stabilityand as deflators in the national accounts. With the globalization of trade and production and the liberalization of the marketsnational governmentscentral banksand international organizations place great importance on the quality and accuracy of national CPIsand their international comparability.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material Describes the purpose, use and construction of HICP Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data.
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of the course is to learn state of the art techniques in survey sampling.
Target Audience: NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.
Description: This webinar will provide participants an overview of the purpose and importance of the Global Assessment of Environmental Economic Accounting and Supporting Statistics. This year the Statistics Division of the United Nations will administer a benchmark assessment, which will provide a detailed understanding of the national implementation of the System of Environmental-Economic Accounting (SEEA) in countries, including institutional and funding arrangements, countries’ priorities and future plans for implementing accounts, technical assistance received and provided, and the use of the accounts. This year the survey will be administered in 5 languages: Arabic, English, French, Russian and Spanish. The webinar will cover: * The importance of the 2023 Global Assessment and how the data provided by countries is used; * How to navigate and respond to the survey; * Q&A session.
Description: UNCTAD and UNODC are custodian agencies of indicator 16.4.1 on illicit financial flows (IFFs) and their respective statistical sections jointly developed a Conceptual Framework for the Statistical Measurement of Illicit Financial Flows in 2020.1 The Framework was endorsed by the UN Statistical Commission in March 2022. In parallel, custodian agencies have drafted methodologies to measure various types of IFFs. To date, methodologies to measure IFFs have been tested by 22 countries on three continents in efforts coordinated by UN regional commissions and UNODC field Offices (on crime-related IFFs), alongside UNCTAD and UNODC statistics. This includes 12 African countries, 4 Latin American and 6 Asian countries many of which produced first estimates of commercial or crime-related IFFs. As lessons are learned and estimation methods are tested and refined, interest from countries to systematically and regularly measure IFFs is growing. During the first quarter of the year 2023, for SDG reporting, UNODC has provided the first ever data on crime-related IFFs for SDG indicator 16.4.12. Following up with these efforts, the UN Development Account project Measuring and Curbing Illicit Financial Flows3 aims to strengthen the capacity of developing countries across regions to produce standardized estimates of illicit financial flows and enhance investigative and analytical capacities to develop evidence -based policy responses to monitor and curb illicit financial flows. This meeting will launch activities of the project and is organised with three specific objectives: * To kick-off the UN Development Account project Measuring and Curbing Illicit Financial Flows globally with partners and participating countries; and strengthen stakeholder engagement and coordination. * To enhance capacity on the methodologies to measure SDG indicator 16.4.1 on IFFs and implementation of policy measures to curbing these flows by disseminating globally agreed concepts and methods to measure IFFs and providing examples from different regions. * Allow participating countries to share their experiences and learn. Targeted participants of the international kick-off meeting are national and international stakeholders within the UN Development Account project Measuring and Curbing Illicit Financial Flows. 1 https://unctad.org/publication/conceptual-framework-statistical-measurement-illicit-financial-flows 2 Selecting data series to reflect SDG indicator 16.4.1 on SDG Indicators Database: https://unstats.un.org/sdgs/dataportal/database returns Indicator 16.4.1 series: Total value of inward illicit financial flows (DI_ILL_IN) and Total value of outward illicit financial flows (DI_ILL_OUT). 3 https://unctad.org/project/measuring-and-curbing-illicit-financial-flows
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Regulation (EC) No 1099/2008 and its implementation). The focus will be on changes in the energy statistics questionnaires, concepts, definitions, methodology and data validation. Furthermore, they will have the possibility to understand how to use the CONVAL tool for their own needs and purposes. The course will also introduce the annual questionnaires on disaggregated final energy consumptions in Transport and in Services, to prepare participants for the first mandatory data collection in March 2024 (reference year 2022).
Target Audience: Statisticians dealing with compilation of monthly, annual energy statistics questionnaires wishing to understand better the IT tool CONVAL, systems and overall framework of energy statistics
Description: UNCTAD and UNODC are custodian agencies of indicator 16.4.1 on illicit financial flows (IFFs) and their respective statistical sections jointly developed a Conceptual Framework for the Statistical Measurement of Illicit Financial Flows in 2020.1 The Framework was endorsed by the UN Statistical Commission in March 2022. In parallel, custodian agencies have drafted methodologies to measure various types of IFFs. To date, methodologies to measure IFFs have been tested by 22 countries on three continents in efforts coordinated by UN regional commissions and UNODC field Offices (on crime-related IFFs), alongside UNCTAD and UNODC statistics. This includes 12 African countries, 4 Latin American and 6 Asian countries many of which produced first estimates of commercial or crime-related IFFs. As lessons are learned and estimation methods are tested and refined, interest from countries to systematically and regularly measure IFFs is growing. During the first quarter of the year 2023, for SDG reporting, UNODC has provided the first ever data on crime-related IFFs for SDG indicator 16.4.12. Following up with these efforts, the UN Development Account project Measuring and Curbing Illicit Financial Flows3 aims to strengthen the capacity of developing countries across regions to produce standardized estimates of illicit financial flows and enhance investigative and analytical capacities to develop evidence -based policy responses to monitor and curb illicit financial flows. This workshop is organised with three specific objectives: * To kick-off the UN Development Account project Measuring and Curbing Illicit Financial Flows globally and bring partners and participating countries to the similar level of understanding of the project and strengthen stakeholder engagement and coordination. * To enhance the capacity of countries on understanding the methodologies developed by custodian agencies and regional commissions to measure SDG indicator 16.4.1 on IFFs, and support countries in formulating relevant policy responses and providing examples from different regions. * Provide participating countries opportunities to share their experiences and learn. Targeted participants of the international kick-off meeting are national and international stakeholders within the UN Development Account project Measuring and Curbing Illicit Financial Flows. 1 https://unctad.org/publication/conceptual-framework-statistical-measurement-illicit-financial-flows 2 Selecting data series to reflect SDG indicator 16.4.1 on SDG Indicators Database: https://unstats.un.org/sdgs/dataportal/database returns Indicator 16.4.1 series: Total value of inward illicit financial flows (DI_ILL_IN) and Total value of outward illicit financial flows (DI_ILL_OUT). 3 https://unctad.org/project/measuring-and-curbing-illicit-financial-flows
Course Language: English
French
Spanish
Russian
Arabic
Organizer(s): FAO International Food Policy Research Institute
Description: The Women’s Empowerment Metric for National Statistical Systems (WEMNS) event is the soft launch of a streamlined tool for measuring women’s empowerment, which is suitable for use by national statistical...
Organizer(s): European Network for Better Establishment Statistics
Description: EESW23 is the eighth biennial European Establishment Statistics Workshop, will be held in Lisbon, Portugal, on 19-22 September 2021. It will be hosted by Statistics Portugal. The first day is devoted to short courses, followed by the traditional two-and-a-half day workshop.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The 4th Meeting of the Expert Group on Measuring Tourism Sustainability (MST) is scheduled to take place in Marbella, Spain, in September 2023. The Expert Group on MST constitutes a diverse and inclusive assembly, established by UNWTO in collaboration with prominent nations, the International Labour Organization, and the United Nations Statistics Division. Its primary purpose is to provide guidance for the formulation of a Statistical Framework for Assessing Tourism's Sustainability. The framework aims to support a more harmonized and integrated measurement of the impacts and dependencies of tourism on the economy, society and the environment, at both the national and sub-national levels.
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in developing and using more advanced compilation techniques in areas including supply and use tables (SUTs), input-output tables, price and volume measures, and thematic satellite accounts. The course starts with SNA framework and will discuss how these accounts can be extended to address specific user needs. The main lectures and workshops include: Conceptual framework of the SNA; Output of specific industries; SUTs and input-outputs tables; Price and volume measurement; Estimating consumption of fixed capital; and Thematic satellite accounts, with a focus on topics covered in the update of the 2008 SNA (e.g., informal economy, labor accounts).Emphasis is also placed on sharing country experiences among the participants.
Description: This two-week intermediate regional course on balance of payments and IIP statistics is presented by Statistics Department and targets compilers with some experience in compilation of balance of payments and/or IIP. The course will focus on more complex methodological issues than the previous balance of payments/IIP standard courses. It aims at providing a deep understanding of the concepts, data sources, and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts. Therefore, it is highly recommended to complete the balance of payments/IIP online course (BOP-IIPx) to review or learn the balance of payments/IIP basic concepts. The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants can discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice, and to demonstrate the analytical uses of ESS.
Description: Statistical data exchanges often take place in an ad-hoc manner, using all kinds of formats and non-standard concepts, hence the need for common standards, guidelines and tools to enable more efficient processes for exchanging and sharing statistical data and metadata. SDMX (Statistical Data and Metadata eXchange) is an international initiative that aims to standardize and modernize ("industrialize") the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. The standard has evolved in recent times, going beyond straightforward data exchange and now enabling more efficient and reliable data storage and dissemination. SDMX is a business choice (as opposed to a technical choice), improving the quality of statistical data-processing and exchange through standardization, automation, validation and data-sharing. SDMX is a standard (indeed an ISO standard, 17369:2013) designed to describe statistical data and metadata, normalize their exchange and enable them to be shared more efficiently among organizations. To meet these three requirements, SDMX has three key components: 1. Technical standards (including the Information Model); 2. Statistical guidelines; 3. An IT architecture and tools. SDMX is therefore much more than a mere data-transmission format. All labour market information (LMI) systems implemented with the assistance of the ILO are based on and make intensive use of SDMX. The objective of the course is to enable participants to understand the scope, architecture and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata. This will enable the to: - Assess how to take advantage of SDMX in their day-to-day work; - Understand DSDs and MSDs, and how they reflect requirements for data and metadata exchange; - Work together (statisticians and IT specialists within an organization) in planning for SDMX in their domain; - Learn how to model data in using SDMX for data-exchange, storage and/or dissemination; - Understand the relationship between SDMX and the production of statistics; - Understand the different roles of organizations in the collection and production of statistics and their relationship with SDMX; - Understand (in broad terms) the different tools available in the marke, and the architecture that can be developed; - Understand how SDMX enables data harmonization across a system.
Target Audience: National statistical offices (NSOs); IT specialists; ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The objectives of this course are: * This course will enable you to pick your next top data-science programming language; * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Description: This is a comprehensive training course that covers application of STATA in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Planners; Policy Makers; Statisticians; Economists; Monitoring and Evaluation Officers; Researchers and the Academia.
Organizer(s): UN DESA UNFPA UNDP WHO Global Partnership for Sustainable Development Data World Bank
Description: At the SDG Action Weekend on 17 September 2023, UNDESA and partners (UNFPA, UNDP, WHO, the Global Partnership for Sustainable Development Data (GPSDD), the World Bank) launched the High Impact Initiative on the Power of Data at the United Nations Headquarters. The event garnered numerous commitments and called on world leaders to invest in better data for driving progress and sustainable development. Speakers included Amina Mohammed, Deputy Secretary General of the UN; USG Li from UNDESA, and Principals from UNFPA, UNDP, the World Bank, GPSDD; Ashley Judd, Actor and UNFPA Goodwill Ambassador; Dr. Mo Ibrahim, founder and chair of the Mo Ibrahim Foundation; ministers from Colombia, Botswana, Ghana, Kenya; officials from all over the world; senior figures from NVIDIA and Microsoft; NGOs; and youth advocates. At the event, the following key issues were discussed: the urgent need and opportunity to fund data systems; the role of data in achieving the Sustainable Development Goals; the role of data in driving economic decision making and tackling inequalities; and the role of data in transforming decision making. Commitments made at the event include 15 countries launched cutting-edge National Data Partnerships; The UK made funding commitment of investing over USD 7.5 million to help scale up global support for national data partnerships; and 30 data for development and civil society organizations signed a letter of support for the High Impact Initiative.
Description: UNICEF, in collaboration with UN Legal Identity Agenda co-chairs, UNDESA and UNDP are hosting an in-person side event at the 2023 SDG Summit. The side event aims to facilitate knowledge exchange by showcasing successful strategies, innovative approaches, and insights from six priority countries: Bangladesh, the Democratic Republic of Congo, Ethiopia, India, Nigeria, and Pakistan. High-level representatives from these countries within the CRVS, health, and National ID management sectors have been invited to engage with UNICEF colleagues, civil society organizations, and experts in child rights, human rights, CRVS, and legal identity. The event intends to amplify participants collective experiences to garner greater international support and commitment towards achieving SDG 16.9.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Providing knowledge and basic practice on use of earth observation data to produce statistics, EO data sets, processing analyses and presenting.
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of Earth observation, geographic information systems and statistics.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing an advanced knowledge of the elaboration and use of statistics on: trade in goods, services, financial flows, trade in value added and IIP statistics.
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks.
Description: This webinar was jointly organized by the Inter-secretariat Working Group on Household Surveys (ISWGHS) and the Global Network of Data Officers and Statisticians. XIAO Ning, Deputy Director-General of the Department of Household Surveys, and LIAN Jiajia, Director of the Division of Household Monitoring Survey of the Department of Household Surveys, from the National Bureau of Statistics of China gave a presentation on a Brief Introduction to Household Survey in China. The webinar focused on China’s practices of conducting household survey, including the organization, sampling design, data collection, quality control and data release. Challenges and future plan were also shared in the presentation.
Description: UNSD delivered a presentation on the uncertainties of wood energy data at the global level at the webinar “Carbon accounting for wood energy” as part of the Global Bioenergy Partnership (GBEP) webinar series 2023. Data availability plays a crucial role in understanding wood energy value chains and supporting an efficient and sustainable use of wood energy as a renewable energy source. Comprehensive, context specific and updated data on wood energy provide insights into its potential as a renewable energy solution, assists in evaluating its environmental footprint, and supports the development of efficient and inclusive wood energy value chains. Accurate data availability is therefore essential for ensuring the sustainable and responsible utilization of wood energy, therefore maximizing its benefits. This webinar aimed to improve the understanding and explore the challenges regarding wood energy data at the global level, as well as showcase the general methods that can be used to estimate wood energy production and use.The webinar was hosted by the GBEP as part of the Scope of Work of Activity Group 4, under the thematic area ‘Carbon accounting for wood energy’. More information and other webinars on this theme can be found on the GBEP website.
Description: Main goals of the course are to enhance the capacity of trade statisticians to apply the most recent internationally agreed recommendations as contained in the Manual on Statistics of International Trade in Services 2010 (MSITS 2010); to define best possible data sources; to set up or enforce collection systems; and to strengthen statistical production processes. Furthermore, the course would raise awareness of SITS and its concepts, enhance statisticians’ capacity, and help them to better understand the MSITS 2010.
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. Course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, and exercises covering practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) and the derivation of the respective surveys for the CB, ODCs, and the consolidated DCs sector. Participants should be prepared to ask questions and discuss challenges related to MFS compilation practices. This course is an abbreviated version of the longer, introductory MFS course traditionally offered by STA in-person.
Description: A Regional Training on Assessing Inequalities in Civil Registration Completeness will take place in Bangkok, Thailand on 11-15 September. It aims to provide selected countries from Asia and the Pacific with practical knowledge to assess the completeness of birth and death registration records using secondary sources of data. More specifically, the training aims to address these objectives: Give participants and overview of the tools and data sources that can be used to assess inequalities related to civil registration. Provide participants with the demographics skills necessary to initiate inequality assessments. Train participants in the computation of completeness rates of birth and death registration. Discuss how to initiate inequality assessments and ensure their findings lead to policy recommendations. The training will use the guidelines for estimating completeness of civil registration of vital events as background documentation and make use of the experience of other countries of the region in conducting such inequality assessments. The workshop will be conducted in English with simultaneous interpretation in Russian. The concept note is available in English here:
Description: This is a comprehensive training course that covers application of STATA in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Planners; Policy Makers; Statisticians; Economists; Monitoring and Evaluation Officers; Researchers and the Academia.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of the course: * To provide the participants with a state of the art knowledge of the methodology and practice of nowcasting; * To introduce the participants to the use of R to produce nowcasts for their own series.
Target Audience: Staff of national statistical institutes involved in the production process who want to acquire a good understanding of nowcasting methods and practices.
Description: The Africa Natural Capital Accounting Policy Forum on Using Natural Capital Accounting (NCA) And Analysis to Inform Policies for Development, Climate Change and Nature Protection aims to provide participants with a platform to discuss the use of natural capital approaches, including natural capital accounting (NCA), in particular the System of Environmental-Economic Accounting (SEEA), and the challenges and opportunities in using natural capital data, tools and analysis to inform and support policies in African countries. The Forum will foster dialogue and sharing of experiences on using NCA and related data and analysis to address policy issues like climate change, biodiversity, and nature protection. Both the latest Climate and Biodiversity Conferences of the Parties (COP 27 and COP15) called for addressing climate change and nature protection simultaneously, as they are closely intertwined. The 2023 Africa NCA Policy Forum will hence focus on how NCA and related approaches can inform the climate change, nature, and development nexus in Africa. The Forum is expected to attract policy makers, statisticians, academics, regional and international experts, as well as private sector entities from countries and organizations across Africa. It will be an in-person event with selected sessions livestreamed.
Description: The first webinar series on "Measuring Adult Mortality Community of Practice (MAM-CoP)" was held on 6 September 2023, from 08.30 to 10.00 a.m. (New York time). The event focused on the use of surveys and censuses to measure the completeness and gaps in death registration and health information systems. Discussion in the event informed further work and guidance to countries on innovative and comprehensive measurement and collection of statistics on adult mortality. Concept note Event page website: https://unstats.un.org/wiki/pages/viewpage.action?pageId=143099385 (Member Only). Objectives: The objective of the webinar series is to facilitate knowledge sharing and innovative methods for measuring adult mortality. The specific objectives of this webinar are as follows: To share experiences and best practices, including the data quality and use, of select countries that have successfully incorporated a question on death registration status in their surveys and censuses. To discuss the importance of incorporating death registration status questions in surveys and censuses for improving mortality data accuracy and informing public health policies.
Description: The objective of the webinar series is to facilitate knowledge sharing and innovative methods for measuring adult mortality. The specific objectives of this webinar are as follows: To share experiences and best practices, including the data quality and use, of select countries that have successfully incorporated a question on death registration status in their surveys and censuses. To discuss the importance of incorporating death registration status questions in surveys and censuses (including recommending this topic in the next revision of the UN Principles and Recommendations for Population and Housing Censuses) for improving mortality data accuracy and informing public health policies. The recording from the webinar is here
Source: Eurostat (Data extracted on: 03 Jul 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences. Courses will provide attendees with the competences required to be effective when training/teaching colleagues in statistical, technical and analytical topics. Specific details can be seen under ‘Outcomes’ below.
Target Audience: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences.
Description: The aim of the course is to better equip data officers within the UN offices regarding the new SDG statistical monitoring system. The course is designed to enhance capacities for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. It also emphasizes the latest ICLS Resolutions on the statistics of work relationships as an important pillar for measuring progress towards the 2030 Global Agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Organizer(s): ESCWA UNFPA AITRS HCP Morocco National Institute for Statistics and Applied Economics in Morocco University of Minnesota
Description: ESCWA, the United Nations Population Fund (UNFPA) Arab States Regional Office, the Arab Institute for Training and Research in Statistics, in collaboration with the High Commission for Planning of Morocco, the National Institute for Statistics and Applied Economics in Morocco and the Micro/Single Data Qualification Program for Public Use University of Minnesota, are organizing a regional workshop on population projections and use of microdata files in Arab countries. The workshop provides an opportunity to enhance the capacity of national statistical offices and UNFPA Population and Development focal points in the Arab region to produce accurate and timely official statistics in support of evidence-based policy-making and the SDGs implementation and monitoring. It aims to: - Introduce participants to the basic concepts and methods of population projections - Provide hands-on training on data analysis, demographic models and projection techniques - Improve understanding of population projection applications in policy development and planning - Facilitate knowledge-sharing among participants - Explore how to establish microdata files for public use.
Description: Climate change is one of the most pressing policy issues for many African countries given its wide-ranging impacts on well-being. High quality, consistent data on the environment-economy nexus is needed to inform effective pathways for addressing climate change and related issues. Many national statistical offices (NSOs) of countries in the region have responded to this need by compiling various SEEA accounts, including taking steps towards compiling energy and air emission accounts which are among the most relevant accounts for informing climate change. However, there is still a need to strengthen the capacities of NSOs to produce and disseminate SEEA accounts, in particular energy, air emission and carbon accounts, to better meet the needs of users for high quality integrated data on climate change and the economy. Hence, this regional training workshop will aim to further build capacities in the region for the compilation of SEEA accounts relevant to climate change. The 2-day workshop will take place in Nairobi, Kenya at the Radisson Blu Hotel. During the workshop, participants will discuss technical issues related to the compilation of energy, air emission and carbon accounts and engage in practical exercises on how to compile these accounts This workshop will be held in advance to the Africa Natural Capital Policy Forum.
Description: The Director of UNSD participated remotely in a high-level panel organized by the National Institute of Statistics and Geography of Mexico (INEGI), to engage in a dialogue with users specialized in Mexico's System of National Accounts, on the occasion of the update of the base year change to 2018. Expert users from the public, private, social and international sectors, who presented their perspective on the importance of updating the SNA database, participated in the event. Before an audience of more than 300 in person and several hundred virtual participants, the UNSD director highlighted the importance of using international statistical standards and integrated information in the production of information. INEGI presented the main results of their new database as well as the regional breakdown of several annual and quarterly products, in response to user demand expressed through the public consultation process, helping to measure the three pillars of sustainable development. INEGI implemented the first global pilot on economic and environmental accounts; and more recently the pilot of ecosystem accounts which contributed to the adoption of the SEEA Ecosystem Accounting as a statistical standard.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Description: Este curso, presentado por el Departamento de Estadísticas del FMI, se enfoca tanto en el marco conceptual de las estadísticas de finanzas públicas (EFP), como se presentó en el Manual de Estadísticas de Finanzas Públicas 2014 del FMI (MEFP 2014) y en los aspectos prácticos de la compilación de datos. Los conceptos y definiciones básicos, las normas contables y las clasificaciones detalladas se tratan dentro del contexto del MEFP 2014, combinado con el sistema de cuentas nacionales. El curso analiza el marco de las EFP, así como también su cobertura y normas contables (incluida la contabilidad en base devengado), las clasificaciones, balances y deudas, y las fuentes y métodos utilizados para compilar las EFP. Por último, el curso trata la divulgación de las EFP y sus usos en la formulación de políticas y análisis fiscales.
Target Audience: A los funcionarios cuya responsabilidad principal es compilar y divulgar las estadísticas fiscales.
Description: This course, presented by the Statistics Department, teaches you how to compile timely, high quality national accounts statistics based on the system of national accounts (SNA) framework. The course introduces the sequence of national accounts, the accounting rules, and the key macroeconomic indicators in the SNA framework. You will learn about gross domestic product (GDP) - the main aggregate of the system, and how to compile consistent and internationally comparable measures of GDP according to the production, income, and expenditure approaches. The course also discusses in detail, how the SNA can be used to track an economy's production, consumption, and income and how to estimate volume measures of GDP.
Target Audience: This introductory online course is designed for anyone interested in learning how to compile and disseminate national accounts statistics according to the System of National Accounts and using them for macroeconomic analyses.
Description: This course, presented by the Statistics Department, teaches you how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs). The course presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.
Target Audience: This introductory online course is designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts and High-Frequency Indicators of Economic Activity, according to the recommendations of the System of National Accounts, and using them to better understand the role of high-frequency data in analyzing current economic developments.
Description: This course, presented by the Statistics Department, of the International Monetary Fund (IMF) introduces participants to the underlying concepts, definitions, and methodology for the compilation of Financial Soundness Indicators (FSIs). FSIs were developed by the IMF in the late 1990s and currently, more than 140 countries compile and report FSIs to the IMF. These indicators are widely used by researchers, analysts, and policymakers around the world to monitor the soundness of the financial system as a whole from a macroprudential perspective, as well as by IMF staff in financial stability analysis and surveillance. This course covers the history of the FSIs and their application in surveillance and macroprudential analysis, the conceptual framework for the FSIs, the data collection process for FSI compilation and its underlying aggregation and consolidation methodologies as well as the application of core and additional FSIs in macroprudential analysis. An important reference throughout this course is the Financial Soundness Indicators Compilation Guide revised in 2019. The 2019 FSIs Guide is the ultimate authority on FSI concepts and methods and is the foundation of this course.
Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: The need for statistics on gender-in-trade is becoming pressing as governments strive to develop gender-responsive trade policies. The Regional Workshop will focus on the importance of collecting and utilising gender-in-trade statistics to support better policymaking across the African continent. In addition, the Regional Workshop also discusses the findings obtained from six pilot countries – Georgia, Kazakhstan, Kenya, Senegal, Cameroon, and Zimbabwe – that participated in undertaking exercises in micro-linking trade and non-trade data within their countries and identify ways forward for improved data collection in gender-in-trade statistics. The objectives of this regional workshop is to: * Encourage knowledge sharing amongst statistics officers on best methods and practices to support the collation of data and statistics on gender and trade and to understand how to undertake micro-linking of non-trade and trade data. * Drawing on the findings from the African pilot case studies, discuss the long-term goal of collecting sex-disaggregated trade data and identify gaps and proposed solutions for ensuring that national statistics collection includes gender-responsive indicators across the continent. * Improve understanding of regularising and implementing long-term data collection on informal cross-border trade (ICBT) to inform evidence-based policymaking that meet the needs of informal and small-scale traders. This workshop is organized by the United Nations Economic Commission for Africa (UNECA), with contributions from the United Nations Conference on Trade and Development (UNCTAD) and the United Nations Economic Commission for Europe (UNECE). Financial support for this project was provided by United Nations Development Account.
Description: Labor market statistics are of major importance when addressing social and economic challenges. These statistics are typically derived from complex survey data collected on a monthly or quarterly basis. However, when it comes to small geographical areas or domains, survey samples often fail to provide reliable estimates. To address this issue, the Economic Commission for Latin America and the Caribbean (ECLAC) has put forth a standardized approach that utilizes area-level models, taking into account the multinomial nature of occupation statuses. Within a Bayesian framework, we define a both a linkage and a sampling model that enable the simultaneous estimation of a diverse set of indicators of interest, such as unemployment rates, occupation rates, and participation rates. This innovative approach proposed by ECLAC aims to overcome the limitations associated with traditional survey sampling methods, particularly in smaller areas where the precision of estimates may be compromised. To validate the effectiveness of our methodology, we conducted a design-based simulation, which revealed promising results and demonstrated the favorable performance of the proposed approach. Building upon this success, we proceeded to implement the methodology across several countries in Latin America, leveraging the extensive and reliable data repository provided by ECLAC's BADEHOG survey database. By adopting this standardized approach, ECLAC aims to enhance the accuracy and reliability of labor market statistics at both national and subnational levels. The utilization of area-level models and the incorporation of Bayesian techniques allow for more reliable estimations, thus enabling policymakers, researchers, and practitioners to make informed decisions and develop effective strategies to address labor market challenges in Latin America and the Caribbean region.
Description: This course examines the conceptual and practical elements of compiling and disseminating fiscal statistics according to international standards, useful to assess the impact of government activities on a country's economy and to facilitate international comparisons. This course, presented by IMF SARTTAC, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF's Government Finance Statistics Manual 2014 (GFSM 2014), and on practical aspects of data compilation. The basic concepts, definitions, accounting rules, classifications and presentation tables of the GFS framework are discussed. The compilation and dissemination of comprehensive and cross country comparable GFS are explained. Finally, the course shows how to use GFS to evaluate the impact of government activities on a country's economy.
Description: The Stats Cafe aimed to provide an overview and highlights in: The trends on Forced Displacement and Statelessness in Asia & the Pacific Region in 2022. Introduce latest asylum trends of Afghans in Europe. Share updates regarding ‘Census preparation and including nationality/statelessness-related questions in the questionnaire’ in Uzbekistan , Stats Café Home: Upcoming events Concluded events
Description: One of the key features of the programme for the update of the 2008 SNA is the outreach component, which aims: (a) to keep countries informed and updated on the process of updating the 2008 SNA; (b) to foster global consultation on recommendations for the update of the 2008 SNA; and (c) to work with countries on the testing and early implementation of new recommendations. The outreach is supported by dedicated webpages (Towards the 2025 SNA) maintained by UNSD, which provide extensive information on the update. As part of this outreach initiative UNSD presented the progress with the update of the 2008 SNA in two webinars. The first was organized in collaboration with the UNECA and the African Union Institute for Statistics on 30 October 2023 and the second was organized by UNESCAP as part of their Joint Meeting of the Steering Groups of the ESCAP Committee on Statistics on 2 November 2023. More information on the recommended changes to the 2008 SNA is available online.
Description: UNSD and ESCWA organized a virtual meeting to initiate a collaboration with MEDSTAT V which is one of the programmes on Euro-Mediterranean statistical cooperation. The programme is funded by the European Union, addressing nine Mediterranean countries with duration 2022-2025. The purpose of MEDSTAT V is to improve the development, production and dissemination of reliable and comparable statistical data in the Southern Neighbourhood countries as well as to strengthen the institutional capacity of the partner countries’ National Statistical Institutes and other producers of official statistics. It covers six thematic areas: 1. Business registers and statistics, circular economy, informal economy; 2. Trade and international investment; 3. Inclusiveness: Gender and Labour statistics; 4. Migration surveys and statistics; 5. Energy, transport and sustainable development; 6. Climate action and biodiversity. The programme has already used several of the UN statistical frameworks, including the Framework for the Development of Environment Statistics (FDES 2013). Key issues and challenges were discussed, in particular for meeting the needs for climate change information and statistics, for which the Global Set of Climate Change Statistics and Indicators will be disseminated among the nine countries and further implementation support will be offered.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts, methods, and challenges of compiling CPIs. Concepts and methods introduced in the online CPIx are explored in greater detail to address actual compilation issues faced by participants. It provides an overview of the index number theory and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing/validating weights; and practical applications of the methods used for sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; adjusting prices for quality changes; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Description: This is a comprehensive training course that covers application of statistics in Monitoring and Evaluation fields. The course aims at equipping participants with skills and knowledge in data entry, management, analysis, interpretation and reporting.
Target Audience: Officials working in Planning Policy Making Project Planning Monitoring and Evaluation
Organizer(s): Baltic-Nordic-Ukrainian Network on Survey Statistics University of Helsinki, Finland
Description: The 6th Baltic-Nordic Conference on Survey Statistics provides an international forum for sharing new results and ideas in survey statistics and data science research and application. The conference is organized by the Baltic-Nordic-Ukrainian Network on Survey Statistics and University of Helsinki.
Description: This course is being organized by the Centre of Excellence on Data for Children with Disabilities, which UNICEF launched in 2021, in partnership with the Department of Psychology and Cognitive Science of the University of Trento. This is the first time the training is being offered and it will focus on participants from the Europe and Central Asia region. It fits within the framework of the regional TransMonEE initiative. The course aims to increase participant knowledge on how to analyse and interpret data on children with disabilities obtained through the Child Functioning Module (CFM) and will provide participants with the opportunity to use their own country’s dataset to conduct the analysis. It is intended primarily for representatives of national statistical offices and other professionals whose primary work is to conduct data analysis.
Description: يعتبر توفر المعلومة الإحصائية مفتاح القرارات الذي ترتكز عليها الجهات الحكومية وكذا تستعملها مختلف الجهات ذات المصلحة من ابداء الرأي في القضايا التي تطرح عنها. ويشكل توفر المعطيات الإحصائية تحديا كبيرا للمنظومات الإحصائية الوطنية في مختلف القطاعات وفي كل الدول . ونظرا للمساهمات المختلفة للقطاع الزراعي في الدول العربية، اقتصاديا واجتماعيا وبيئيا، فان توفير المعلومة الإحصائية القطاعية له خصوصية كبيرة من حيث توفرها وجودتها واستعمالاتها خاصة مع التزامات الأطراف للتبليغ بمؤشرات وطنية في إطار خطط اممية وقارية وجهوية. ومن هذه المنطلقات والتحديات، برمجت هذه الورشة العلمية حول الاحصائيات الزراعية. تندرج هذه الورشة في اطار مواصلة المعهد العربي للتدريب والبحوث الإحصائية والمنظمة العربية للتنمية الزراعية في دعم قدرات العاملين في مجال الاحصائيات الزراعية من حيث توفرها ومعالجتها والابلاغ عنها، بالإضافة الى كيفية ضمان جودتها وشموليتها. وتعتبر الاحصائيات الزراعية من بين الأنشطة الإحصائية التي تتطلب تنسيقا كبيرا وتعاونا متواصلا بين الأجهزة الإحصائية ووزارات الزراعة لتوحيد المفاهيم والمصطلحات الإحصائية وطرق الاحتساب وكيفية نشرها، وذلك اعتبارا للاستعمالات المتعددة لهذه الاحصائيات في العديد من المجالات ومنها بالأساس الحسابات القومية.
Description: The UN Datathon (3-6 November) welcomes participants from around the globe of all ages and backgrounds, as long as you have a basic level of data science experience. If you are passionate about data-driven solutions at local and global levels, and eager to contribute to the implementation of the UN Sustainable Development Goals, this event is for you!
The European Statistical System (ESS) Active participation in ESS meetings
Planned for: Q3 2023
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The aim of the course is to: * provide an overview of the functioning of ESS, including ESS procedures and concepts; * create understanding of the requirements originating from the EU cooperation; * introduce in the relations of the European Statistical System with other EU institutions or fora, the legal basis of the ESS, the decision-making process, the cooperation among the different stakeholders, etc.; * prepare participants and enable them to tackle the day-to-day challenges of the ESS system for the purpose of strengthening efforts and thereby increasing their involvement; * train the participants in negotiating with colleagues from other European countries, including negotiation and presentation skills, effective oral communication and active participation in an ESS meeting.
Target Audience: Staff members wishing to understand the framework and functioning of the European Statistical System (ESS) as well as staff who participate or will be participating in the meetings of committees, European Union working groups and task forces.
Advanced earth observation processing for official statistics
Planned for: Q3 2023
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Contents of the course: * An introduction to Earth Observation; * Examples using EO for statistical reporting; * Processing and analyse of EO data; * Practical exercises on receiving EO data; * Advanced analytics; * Reporting statistical values; * Question and Answer Session.
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of Earth observation, geographic information systems and statistics. Participants are expected to have knowledge of Earth observations and Scripting.
Sampling issues in times of Covid-19: Applications at National Statistical Offices
Planned for: Q3 2023
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To learn state of the art techniques in survey sampling.
Target Audience: NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. Course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, and exercises covering practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) and the derivation of the respective surveys for the CB, ODCs, and the consolidated DCs sector. Participants should be prepared to ask questions and discuss challenges related to MFS compilation practices. This course is an abbreviated version of the longer, introductory MFS course traditionally offered by STA in-person.
Description: This is a comprehensive training course that covers application of statistics in Monitoring and Evaluation fields. The course aims at equipping participants with skills and knowledge in data entry, management, analysis, interpretation and reporting.
Target Audience: Officials working in Planning Policy Making Project Planning Monitoring and Evaluation
Description: تعد صحافة البيانات أداة مهمة يستخدمها الصحفيون في تقاريرهم لأنها تتيح توفير السياق والرؤية وتعزيز المصداقية وتشجيع المساءلة وإشراك الجماهير. من خلال دمج تحليل وتصور البيانات في التقارير الصحفية، يمكن للصحفيين إنتاج محتوى أكثر تأثيرًا وغنيًا بالمعلومات يساعد على إعلام الجمهور وتمكينه. - يمكن أن توفر صحافة البيانات سياقًا مهمًا ورؤية ثاقبة للقضايا المعقدة من خلال السماح للصحفيين بتحليل كميات كبيرة من البيانات وتحديد الأنماط والاتجاهات التي قد لا تكون واضحة على الفور. باستخدام البيانات لدعم التقارير، يمكن للصحفيين تعزيز مصداقيتهم وإظهار دقة عملهم، حيث يمكن أن يساعد ذلك في بناء الثقة مع الجماهير وزيادة تأثير تقاريرهم. يمكن أن تساعد صحافة البيانات في مساءلة الأفراد والمؤسسات من خلال الكشف عن أنماط السلوك التي قد لا تظهر على الفور. يمكن أن يكون هذا مهمًا بشكل خاص في مجالات مثل الحكومة والتمويل، حيث يمكن أن توفر البيانات رؤى مهمة حول كيفية اتخاذ القرارات وكيفية تخصيص الموارد. كما يمكن أن تكون صحافة البيانات أداة قوية لإشراك الجماهير من خلال تقديم معلومات معقدة بطريقة سهلة الفهم ومقنعة بصريًا. باستخدام تصور البيانات والتقنيات الأخرى، يمكن للصحفيين مساعدة الجمهور على فهم القضايا المعقدة بشكل أفضل واتخاذ قرارات مستنيرة. من هذا المنطلق، تأتي هذه الورشة التدريبية لتطوير مهارات الصحفيين في هذا المجال وربطهم بالعاملين في الأجهزة الإحصائية العربية.
Description: The UN Expert Group on National Quality Assurance Frameworks (EG-NQAF) established a Subgroup on Administrative and Other Data Sources to provide practical and concise guidance and best practices for statistical agencies in assuring the quality of official statistics when administrative data sources and other (new) data sources are used for producing official statistics. At its sixth meeting the Subgroup discussed the progress in identifying relevant requirements for the use of administrative and other data sources based on the review of national practices and other available guidance. During the meeting, the secretariat presented a detailed analysis of the mapping of national practices to the UN National Quality Assurance Framework and the process of identifying relevant requirements. The Subgroup discussed the next steps of the work. In addition, the secretariat updated the Subgroup on the preparations for the upcoming Global Seminar on 14 November, which will present country examples on how the quality of the input data is affecting the quality of the statistical outputs. The meeting of the Subgroup was attended by 20 experts from national statistical offices and international organizations. The next meeting is scheduled for 29 November 2023.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP
Description: Disasters continue to have an ever-increasing impact on lifewell-being and sustainable development. Given these impactsthere is a high demand at the localnational and international levels for high qualityintegrated statistics to inform all phases of the disaster risk management cycle. Furthermoredisaster related statistics are not only relevant to those working to prepare and respond to disasters but also to the public at largeresearch institutions and policy analysts at the local and national levels. In response to the increased demands for disaster related statisticsthe disaster management and official statistics communities in Asia-Pacific have developed the Disaster-related Statistics Framework (DRSF).
Description: The main goal of the workshop is to assist the participants to gain better understanding of the concepts and definitions set out in the Frascati Manual 2015; Oslo Manual 2018, Guidelines for Collecting, Reporting and Using Data on Innovation, 4th Edition; and share best country and international practices, including STI indicators, statistics, and analyses.
Description: This course, presented by the IMF's Statistics Department, aims at providing a thorough understanding of the concepts, as well as practical advice on the data sources and compilation techniques of the international trade in goods and services statistics. The course will be largely based on the BPM6 Compilation Guide - the companion document of the BPM6 - and the Manual on Statistics of International Trade in Services 2010 Compilers Guide (MSITS 2010 CG). The course will consist of a series of lectures, workshops and plenary discussions on country practices covering concepts, sources, and compilation methods associated with international trade in goods and services statistics. Recognizing the challenges in the compilation of certain services categories, such as manufacturing and merchanting, insurance, financial services, construction, and digitalization, the course will emphasize specific aspects related to their treatment and recording in the balance of payments. Participants will have the opportunity to discuss problems encountered in their compilation work and gain insights into the analytical uses of international trade in goods and services statistics.
Title in Arabic: التصنيفات المتعلقة بإحصاءات التجارة الدولية وأدلة الربط بينها
Organizer(s): AITRS
Description: تشمل الورشة التدريبية المواضيع أدناه: * لمحة عام عن التصنيفات الاقتصادية. * التغيرات التي طرأت على تصنيف النظام المنسق HS حسب نسخة عام 2022. * التغيرات على نسخة عام 2022 من التصنيف الموحد للتجارة الدولية SITC4. * أبرز التعديلات التي طرأت على تصنيف ISIC. * تمارين عملية حول ربط بيانات التجارة الخارجية باستخدام HS, SITC, ISIC. تهدف الورشة الى: * التعريف بأهمية التصنيفات الاقتصادية لأغراض نشر البيانات الإحصائية والمقارنة على المستويات الدولية. * التعرف على التغيرات التي طرأت على النسخ الجديدة من أدلة التجارة الدولية عام 2022. * اكتساب وتعزيز مهارات الربط بين التصنيفات المختلفة.
Description: This course, presented by the Statistics Department, of the International Monetary Fund (IMF) introduces participants to the underlying concepts, definitions, and methodology for the compilation of Financial Soundness Indicators (FSIs). FSIs were developed by the IMF in the late 1990s and currently, more than 140 countries compile and report FSIs to the IMF. These indicators are widely used by researchers, analysts, and policymakers around the world to monitor the soundness of the financial system as a whole from a macroprudential perspective, as well as by IMF staff in financial stability analysis and surveillance. This course covers the history of the FSIs and their application in surveillance and macroprudential analysis, the conceptual framework for the FSIs, the data collection process for FSI compilation and its underlying aggregation and consolidation methodologies as well as the application of core and additional FSIs in macroprudential analysis. An important reference throughout this course is the Financial Soundness Indicators Compilation Guide revised in 2019. The 2019 FSIs Guide is the ultimate authority on FSI concepts and methods and is the foundation of this course.
Description: Hosted by the Economic and Social Commission for Asia and the Pacific (ESCAP) and the United Nations Statistics Division (UNSD), the Voluntary National Review (VNR) lab will discuss and share experiences, at the UN High-Level Political Forum on Sustainable Development (HLPF) on how non-traditional data, particularly CGD is utilized to support SDG monitoring and the VNRs for evidence-based reporting and will present country experiences from Asia and the Pacific and beyond. It will explore initiatives to improve reporting frameworks and harness the power of citizens to capture and share more data on the SDGs for the VNRs. Interventions will be made by civil society, government, and national statistical office representatives.
Title in Arabic: أكاديمية إحصاءات وتحليل سوق العمل للمنطقة العربية
Organizer(s): ILO ITC
Description: لا يزال تطوير أنظمة إحصائية قوية لإنتاج وجمع ونشر معلومات موثوقة وشاملة وفي الوقت المناسب عن سوق العمل أمرًا بالغ الأهمية لصنع السياسات القائمة على الأدلة ولتعزيز "العمالة الكاملة والمنتجة والعمل اللائق للجميع". يعد الطلب على البيانات الإحصائية عالية الجودة أمرًا ملحًا بشكل خاص في البلدان التي لا تسمح فيها النظم الإحصائية الحالية بالإنتاج المنتظم لإحصاءات سوق العمل الموثوقة وذات الصلة في الوقت المناسب. علاوة على ذلك، أدت التغييرات السريعة في عالم العمل، التي تسارعت بسبب جائحة كوفيد 19 ، إلى زيادة الضغط على الأنظمة الإحصائية الحالية لابتكار وإنتاج مؤشرات جديدة وأفضل لقياس حقائق سوق العمل المتغيرة. تعتبر المعايير الإحصائية المبتكرة التي وضعها المؤتمران الدوليان التاسع عشر والعشرون لإحصاءات العمل فيما يتعلق بإحصاءات العمل وعلاقات العمل ضرورية للهدف الشامل المتمثل في تحقيق العمل اللائق للجميع. لقد ثبت بالفعل أهميتها في المراقبة الفعالة لأسواق العمل خلال الأوقات العادية وخلال أوقات الأزمات في العديد من البلدان في جميع أنحاء العالم. إن القرارات والمبادئ التوجيهية التي اعتمدها المؤتمر الدولي العشرون لخبراء إحصاءات العمل حول موضوعات مثل هجرة اليد العاملة وعلاقات العمل، وقياس الامتثال لحقوق العمال، وقياس وجود استراتيجيات التوظيف للشباب، وما إلى ذلك، سوف تساهم بشكل كبير في رصد التقدم المحرز نحو تحقيق أهداف التنمية المستدامة ، لأنها ترتبط ارتباطًا وثيقًا بالعديد من مؤشرات أهداف التنمية المستدامة. مع أخذ هذه التطورات الأخيرة في الاعتبار ، تفخر إدارة الإحصاء التابعة لمنظمة العمل الدولية ، المركز الدولي للتدريب التابع لمنظمة العمل الدولية (ITCILO) ، بالتعاون مع المكتب الإقليمي لمنظمة العمل الدولية للدول العربية ، بتنظيم الأكاديمية المصغرة لإحصاءات سوق العمل للمشاركين في المنطقة العربية. ستقام الأكاديمية عبر الإنترنت وتوفر فرصة رائعة للتعلم والتفكير في التحديات المستمرة التي تواجه النظم الإحصائية في العالم العربي والتعرف على أحدث المعايير الإحصائية الدولية التي تعتبر ضرورية لتعزيز العمل اللائق في البلاد العربية.
Target Audience: يشمل الجمهور المستهدف للأكاديمية: • إحصائيو العمل من المكاتب الإحصائية الوطنية. وزارات العمل والمؤسسات ذات الصلة (مثل مراصد المختبرات) ؛ الوزارات أو المؤسسات الحكومية الأخرى المسؤولة عن الرصد الإحصائي لأهداف التنمية المستدامة ، والشركاء الاجتماعيين لمنظمة العمل الدولية، • محللو سياسات التوظيف والتنمية من مكاتب الإحصاء الوطنية، والمؤسسات البحثية والأكاديمية، والمنظمات الدولية، والمنظمات المانحة، • الموظفون المسؤولون عن إدارة إنتاج ونشر إحصاءات سوق العمل، ولا سيما التقارير الوطنية الخاصة بأهداف التنمية المستدامة، • الموظفون المسؤولون عن تحليل إحصاءات سوق العمل وإصدار تقارير تحليلية للمساعدة في صنع السياسات القائمة على الأدلة.
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. Course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, and exercises covering practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) and the derivation of the respective surveys for the CB, ODCs, and the consolidated DCs sector. Participants should be prepared to ask questions and discuss challenges related to MFS compilation practices. This course is an abbreviated version of the longer, introductory MFS course traditionally offered by STA in-person.
Description: This is a comprehensive training course that covers application of SPSS in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Planners; Policy Makers; Statisticians; Economists; Monitoring and Evaluation Officers; Researchers and the Academia.
Description: Context The 2030 Agenda for Sustainable Development is the blueprint for member States to progress towards inclusivity and sustainability. At the midpoint of the 2030 Agenda, countries are urged to better assess the progress towards achieving the sustainable development goals (SDGs). Monitoring SDG implementation at the national level is challenging. Data availability and coordination across the entire statistical system, technical capacity, and access to IT infrastructure are key barriers for member States to measure their progress towards achieving the SDGs. In this regard, under the China-ESCAP Cooperation Programme (CECP), the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) and the government of China initiated a project to strengthen the capacity of national governments to follow up and review implementation of the 2030 Agenda. Specifically, the National SDG Tracker tool was introduced to help countries measure current and expected SDG progress achievement by 2030. Results of this assessment are also expected to complement the countries’ Voluntary National Review (VNR) narratives. The regional workshop was an opportunity for countries who implemented the National SDG Tracker to share their results and experiences on applying the SDG progress assessment methodology, emphasizing South-South cooperation, and exchange lessons learned from the use of SDG data. View / Download photos from the Workshop Concept note Objective and expected outcomes The regional workshop gathered statisticians, national planning experts, SDG coordinators and relevant stakeholders to: promote evidence-based assessment of SDG implementation in countries of the Asia-Pacific region; enable other countries of the region to use National SDG Tracker tool to measure current and expected SDG achievement; assess and understand the underlying challenges of monitoring SDG progress. These were expected to strengthen capacity for follow up and review of the implementation of the 2030 Agenda for Sustainable Development. The regional workshop took place in person at Amari Watergate Hotel, Bangkok, Thailand on 17-20 July 2023. It was conducted in English only. , National SDG Tracker Homepage Regional Workshop (July 2023) Countries: Indonesia (May 2024) Sri Lanka (May 2024)
Description: تمثل مسوح ميزانية الاسرة مصدرا هاما لتوفير العديد من البيانات والمؤشرات تساعد على فهم تطور أنماط الاستهلاك الاسري وانفاقها لمجابهة حاجياتها، بالإضافة الى مساهمتها في توفير بيانات ضرورية لاحتساب العديد من المؤشرات الحيوية في المجال الاجتماعي والاقتصادي على غرار نسب الفقر ومؤشر الأسعار وتركيب الحسابات القومية. كما تساهم نتائج مسوح ميزانية الاسرة في توفير العديد من المؤشرات لمجابهة الحاجيات المتزايدة لإعداد ومتابعة وتقييم اهداف التنمية المستدامة والخطط التنموية الوطنية والاجندات الإقليمية. وتندرج هذه الورشة في إطار مواصلة المعهد العربي للتدريب والبحوث الإحصائية دعم قدرات الأجهزة الإحصائية العربية في مجال تخطيط وإنجاز المسوح الاسرية والاجتماعية وكذلك معالجة وتحليل البيانات ذات الصلة
Title in Spanish: Infraestructura Colombiana de Datos Espaciales (ICDE): Ecosistema geoespacial sostenible
Organizer(s): ECLAC DANE Colombia
Description: En una visión del futuro de un “ecosistema geoespacial”, prácticamente todos los miembros de la comunidad mundial interactúan entre sí de forma ubicua, directa o indirectamente, aprovechando información de calidad basada en la localización que permita la realización de análisis geográficos.
Description: The UNSD Global Geospatial Information Management Section (GGIMS) was asked by UN-GGIM Americas, Caribbean Geospatial Development Initiative (CARIGEO) to coordinate and deliver a webinar on fostering effective participation at UN-GGIM meetings, on 17 July 2023 in advance of the thirteenth session of the UN Committee of Experts on Global Geospatial Information Management (UN-GGIM). The UNSD in collaboration with the UN-GGIM Americas Regional Committee, ECLAC and the Dag Hammarskjöld Library staged the webinar to an audience of over 35 participants from the Americas. The objective of the webinar was to raise awareness on the formality of participating in United Nations meetings and to strengthen the advocacy skills of geospatial experts to effectively represent and communicate their national positions and requirements specifically at UN-GGIM regional and global meetings. The webinar was moderated by the Vocal for North America, Gabriela Garcia Seco from INEGI, Mexico. Welcome remarks were delivered from the President of the UN-GGIM Americas Regional Committee, Ms. Sofía Alejandra Nilo Crisóstomo from Chile and Vocal for the Caribbean, Ms. Simone Lloyd from Jamaica. This was followed by testimonials on the benefits of participating in the regional and global inter-governmental processes, particularly on global geospatial information management, from Ms. Michelle St. Clair of Barbados and Ms. Artie Dubrie from ECLAC, Trinidad and Tobago. Ms. Ariel Lebowitz, Librarian at the Dag Hammarskjöld Library gave an overview on the UN, its main organs, the UN library resources delegates need to know, and how to access them. The main presentation on preparing for and participating in the annual session of the Committee of Experts delivered by GGIMS included the role and responsibilities of national representatives to the Committee of Experts, guidelines on preparing and delivering statements and interventions and the preparation of decisions and resolutions. This was followed by a panel discussion on what happens in countries in preparation for the session and actions post the session. The panelists were Ms. Pilar Garcia from Mexico and Mr. Paul Riley from the United States. The panel discussion was followed by an open discussion which was moderated by Ms. Valrie Grant of the UN-GGIM Private Sector. This webinar was an intervention that sought to strengthen the participation and engagement of Caribbean Member States and their technical representatives at UN-GGIM sessions at the regional and global levels. The presentations and recordings will be made available on the UN-GGIM Americas website.
Description: As one of the critical follow-up and review mechanisms for the 2030 Agenda for Sustainable Development, the Voluntary National Review (VNR) prepared by Member States and presented at the UN High-Level Political Forum on Sustainable Development (HLPF), provides an opportunity for countries to share their experiences, successes, challenges, and lessons learned in implementing the SDGs
Description: In 2015, with the launch of the Sustainable Development Goals, the global community made a commitment to end all forms of violence against children by 2030. Although this draws much needed attention to the importance of preventing and responding to violence against children, the availability of comparable data remains limited, which was also confirmed by the recently adopted Guidance of the European Statisticians for the Improvement of Statistics on Children. In response, UNICEF has developed the international classification of violence against children (ICVAC) with inputs from more than 200 experts from national statistical offices, academia, and international organizations. The ICVAC was endorsed at the 54th session of the UN Statistical Commission as international statistical standard and was recommended for inclusion in the International Family of Classifications.
Description: Background: In June 2021, the United Nations Development Coordination Office (DCO) hosted a Sustainable Development Goal (SDG) Data deep-dive for Resident Coordinators (RCs), Resident Coordinators’ Offices (RCOs) and United Nations Country Teams (UNCTs) with the aim of identifying challenges and opportunities to support the national statistical system (NSS). The deep-dive report found that “UNCTs have to develop capacity to engage politically with governments on data, developing advocacy and partnerships to create a system which has political support, is underpinned by good law and regulation, produces high quality and independent data that is freely shared across government, and is used to inform decisions.” The report also noted that UNCTs should “… take advantage of Regional Collaborative Platforms support to strengthen national capabilities”. The RCP statistics working group was set up to address these issues. This group has organised a series of virtual SDG statistics clinics which started in late 2021 Participants: Day 1 and 2 focused on UN only participants from both the RCOs and UNCTs, and Days 3-5 included the SDG national focal points. Objective of the event: Internally focused regional data management officers retreat which will look at the role of a data management officer in terms of monitoring and reporting of UNCT results; and Externally focussed SDG data learning lab event aimed at enhancing the capacity of staff of UNCTs, including RCOs, so that they are enabled to effectively support the strengthening of the capacity of national statistical systems to meet the demand emanating from the 2030 Agenda for Sustainable Development. This will build on the SDG statistics clinics by providing an in-person opportunity to go into these issues in more depth and to build the knowledge sharing between data officers. Modality: The learning labs provided practical hands-on experience on a range of issues related to strengthening national statistical capacity to measure and achieve the SDGs. There was a strong focus on collaborative learning to allow for exchanges of experiences and to help each other close SDG data gaps at the country level. The agenda was designed to allow time during coffee breaks and lunches for delegates to interact with each other or to hold specific bilateral meetings. , RCP Data and Statistics Working Group SDG Data and Statistics Clinics SDG Learning Lab
Description: This is a comprehensive training course that covers application of SPSS in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Planners; Policy Makers; Statisticians; Economists; Monitoring and Evaluation Officers; Researchers and the Academia.
Description: يهدف الاعتماد على الأساليب والأدوات الإحصائية على غرار استخدام التطبيقات الإحصائية إلى تيسير تحليل البيانات باختلاف حجمها، واختيار النماذج المناسبة لدراسة نواحي معينة لبعض الظواهر الاقتصادية والاجتماعية وكذلك لدراسة مشكلة معينة قائمة أو وقع التنبؤ بها وإيجاد الحلول الكفيلة لها. وتتنزل هذه الورشة في إطار دعم القدرات الإحصائية في مجال اكتساب الخبرة والتمكن من هذه الأليات التي تساعد على مواكبة التطورات السريعة فيما يتعلق بإنتاج واستخدام البيانات مع بروز جيل جديد من التخصصات في بعض المجالات الجديدة أهمها علوم البيانات (Data Science) والتي تعنى ببناء قاعدة البيانات وإيجاد طرق مبتكرة لتحليل وفهم معنى البيانات في سياق إقليمي ودولي شديد التغير. تهدف الورشة بالأساس إلى تمكين المشاركين على الاطلاع على تطبيقية Eviews 13 من خلال التعرف على أهم مكوناتها، ومختلف الأليات، والتعامل مع البيانات وانشاء قاعدة بيانات، واستخدام النماذج الإحصائية وتحليلها حسب أهداف المشروع ومجال التطبيق، إضافة إلى التطرق إلى تقنيات التنبؤ وتطبيقها على أمثلة ونماذج تطبيقية.
Description: Statistical businesses processes are changing over time and various national statistical systems are adopting different technologies to produce economic statistics. Some of the innovations involve use of big data tools to compile critical statistical data in a timely manner. To be able to undertake such compilations, statistical systems must adopt new business processes that integrate use of big data technology to process huge volumes of data. These processes must be integrated in the normal statistical operations across various domains with a strong emphasis on application of advanced information technology tools. Similarly, trading systems are involving and there has been a growth in digital trade during the covid-19 pandemic This webinar was designed to highlight some of the strides some of the countries had made in the setting up of innovative processes to produce economic statistics. Specifically, the objectives of the webinar were: To showcase processes required in a national statistical system in setting up big data use; To demonstrate methods to estimate domestic tourism.
Description: Solid waste management is an important aspect of sustainable development of tourism at destination level. Inappropriate and inefficient use of resources, contamination problems are only some of the aspects that cause much larger negative impacts in destinations and underline the need for timely and regular monitoring of solid waste management. While waste audits show how much and what kind of waste there is, where it is generated and where it ends up (e.g., in landfills, composting plants, incinerators, etc.) they also allow to assess tourism's share in solid waste production. It also helps to stimulate circular economy processes by identifying where waste reduction at the source is most practicable and effective. There are several indicators that allow destinations to monitor, inter alia, trends in solid waste production and recycling, the development of waste services and the perception of the cleanliness of a destination. This sixth INSTO Insights webinar will discuss the experiences of selected experts and INSTO Members in measuring solid waste management at the destination level. Solid waste management is one of the 11 key issue areas INSTO Members have to monitor and manage. Experiences will be shared on used indicators and various methodologies in this regard. The implications of these monitoring efforts in terms of informing policies and strategies will also be discussed.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Participants will understand different quality concepts, European Statistical System (ESS) quality criteria, the European Statistics Code of Practice and its Common Quality Framework and know how to apply methods to measure quality concepts.
Target Audience: Employees of national statistical agencies involved in quality management, measurement and reporting.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP
Description: This course is an advanced course in data visualizationconceived as an extension to SIAP’s facilitated course “Data Visualization for Official Statistics and SDG Indicators” conducted in 2021 and 2022 oralternativelyto the self-paced course “Principles of Data Visualization for Official Statistics and SDG Indicators” available on SIAP’s e-learning platform. This new course focuses on methods to produce high-quality graphics for monitoring and publishing official statistics and the Sustainable Development Goals (SDGs) indicators. It also highlights advanced topics such as network visualizationhigh dimension data visualizationvisualizing uncertainty and address some important issues when communicating with graphics. In particularstorytelling and the construction of visual narratives for any type of audienceor inclusive data visualizationis emphasized and discussed.
Description: Information: A workshop designed to enhance understanding of internationally agreed methods for measuring illicit financial flows by national experts responsible for SDG 16. Report of the training workshop List of participants Concept note Programme Information note for participants The workshop’s objectives: Raise awareness of existing methodologies for estimating illicit financial flows in Central Asia Enhance the understanding of different methods for measuring illicit financial flows Build the capacity to identify and apply appropriate methods that best fits the estimation of illicit financial flows in their participants’ respective countries Share experiences of setting up systems to compile illicit financial flows data References: Methodological guidelines to measure tax and commercial illicit financial flows. Conceptual framework for the statistical measurement of illicit financial flows. Estimating illicit financial flows from trade mis-invoicing : introducing the ‘Grey Re-exports’ method (The case of Kyrgyzstan). Previous training workshops: Final Workshop of Project on Statistics and Data for Measuring Illicit Financial Flows in the Asia-Pacific Region, 7-8 December, 2022. Interregional training workshop on the statistical measurement of tax and commercial illicit financial flows (IFFs), 6-13 December 2021. Previous Stats Café: Progress on Estimating Illicit Financial Flows – Lessons from the Asia-Pacific Region, 26 September 2022. Estimating the size of illicit financial flows: Strengthening national capacity to monitor SDG target 16.4, 22 September 2020. Информация: Целью семинара является углубление понимания утвержденных на международном уровне методов измерения незаконных финансовых потоков национальными экспертами, ответственными за ЦУР 16. Программа Информационная записка Задачи семинара: Ознакомить участников с существующими методами оценки незаконных финансовых потоков. Углубить понимание различных методов измерения незаконных финансовых потоков. Нарастить потенциал выбора и применения соответствующих методов оценки незаконных финансовых потоков в странах участников. Поделиться опытом создания систем сбора данных о незаконных финансовых потоках. Использованная литература: Методические рекомендации по измерению налоговых и коммерческих незаконных финансовых потоков. Концептуальные основы статистического измерения незаконных финансовых потоков. Оценка незаконных финансовых потоков от торговли: внедрение метода «серого реэкспорта» (на примере Кыргызской Республики). Предыдущие обучающие семинары: Заключительный семинар проекта «Статистика и данные для измерения незаконных финансовых потоков в Азиатско-Тихоокеанском регионе», 7–8 декабря 2022 г. Межрегиональный обучающий семинар по статистическому измерению налоговых и коммерческих незаконных финансовых потоков (НФП), 6–13 декабря 2021 г. Статс-кафе: Прогресс в оценке незаконных финансовых потоков – уроки Азиатско-Тихоокеанского региона,, 26 сентября 2022 г. Оценка объёма незаконных финансовых потоков: укрепление национального потенциала для мониторинга задачи 16.4 ЦУР, 22 сентября 2020 г.
Title in Spanish: Taller sobre medición de la desigualdad de ingresos a partir del uso combinado de fuentes de información
Organizer(s): ECLAC BCCR Costa Rica
Description: Este taller tiene por objetivo presentar la metodología, los requerimientos de información y los resultados de una primera estimación de la desigualdad, a las instituciones públicas y académicas interesadas en el tema. Se discutirán los insumos de datos necesarios para la mejora de las estimaciones disponibles y los pasos a futuro para una colaboración más amplia entre las instituciones participantes, que permita mejorar y ampliar las estimaciones que se presentan.
Description: Established by the UN Statistical Commission in 2015, the Inter-Secretariat Working Group on Household Surveys (ISWGHS) aims to foster improvement in the scope and quality of social and economic statistics as delivered through national, regional and international household survey programmes. Three major objectives of ISWGHS are (a) fostering coordination; (b) promoting advancement and harmonization of survey methodologies; and (c) communicating the importance of household surveys. As a collaborative group, ISWGHS is a platform to support the exchange of knowledge and experience among international agencies, national statistical offices, academic experts, the private sector and other key players. Such exchange will improve the flow of knowledge and experience among countries and assist in the scaling up of innovative approaches in countries with lower statistical capacity.The webinar will provide an overview of: (a) the outputs produced by the ISWGHS and how they support countries in making their household survey systems more coordinated and innovative; (b) the platform provided to support countries in exchanging knowledge and experience; and (c) the future work program following the paper on "Positioning Household Surveys for the Next Decade" (Position Paper) produced by ISWGHS.The speaker would also welcome advice and guidance from IASS members on the future work program and collaboration opportunities.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing.
Description: In this Global Network Webinar, José Viera of the International Disability Alliance and Elizabeth Lockwood of CBM Global Disability Inclusion discussed the importance of disability data awareness and capacity building by sharing two disability data resources: the Disability Data Advocacy Toolkit and the Disability Data Advocacy Workshop for Organizations of Persons with Disabilities. The International Disability Alliance, Stakeholder Group of Persons with Disabilities, and CBM Global Disability Inclusion developed the Disability Data Advocacy Toolkit to contribute to the growing global dialogue on the importance of data on persons with disabilities. The toolkit provides some basic knowledge on data collection, analysis, and use of data for evidenced-based advocacy to influence policy and decision makers. An innovative partnership was also established to increase the quality of disability data in the Asia-Pacific region. This partnership was between UNFPA Asia Pacific and CBM Global Disability Inclusion, in close collaboration with the International Disability Alliance, Stakeholder Group of Persons with Disabilities and national and regional organizations of persons with disabilities, including the ASEAN Disability Forum and Pacific Disability Forum. A key outcome was a Disability Data Advocacy Workshop for Organizations of Persons with Disabilities (OPDs), a publicly available resource that was recently launched. The workshop aims to introduce the basic concepts and skills on disability data to OPDs and to support applying these in the local context.
Description: The event will take place virtually on on 27 June 2023: (New York: 6:00-7:30), (Santiago: 6:00-7:30), (Bangkok: 17:00-18:30), (Addis Ababa: 13:00-14:30), (Beirut: 13:00-14:30), (Geneva: 12:00-13:30), (Vienna: 12:00-13:30). The webinar is co-organized by ESCAP, ECA, ECLAC, ESCWA, UNODC and UNCTAD. Please register here Link to the Regional webinar once it's time: here Concept note It will showcase success stories in the measurement of IFFs and share key lessons that are critical to regularizing the production of data on SDG 16.4.1 and how they can be applied and used in national policies. It will also provide a forum that will raise awareness on the upcoming activities of the DA15 project on illicit financial flows that will officially kick off in September 2023 with a seminar in Geneva. The webinar's objectives: Raise awareness on the DA15 project, its expected objectives and impacts; Secure buy-in and collaboration agreement from national statisticians, policy makers and other relevant stakeholders; Share current lessons and experiences in measuring IFFs and how they can feed into the DA15 project; Inform national stakeholders about the upcoming Kick-off workshop in September and their potential representations. Inform national stakeholders about the upcoming Kick-off workshop in September and their potential representations.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide.
Description: Coordination of statistical activities is a broad and often discussed topic. Its importance is directly recognized in the UN Fundamental Principles of Official Statistics (UNFPOS) through principle 8 “Coordination among statistical agencies within countries is essential to achieve consistency and efficiency in the statistical system.” Recognizing this gap, the Inter-Secretariat Working Group on Household Surveys (ISWGHS) established a task force to review and share national practices for the coordination of household survey systems. The task force has sought to address this through a review of the practices of five countries, namely Canada, Costa Rica, Ghana, Ireland, and Samoa, as well as one sub-regional statistical office – Statistics of Development Division for the Pacific Community (SPC). The webinar will foster a discussion on key lessons learnt and good practices in making household survey systems more coordinated, harmonized and integrated, based on the experiences of the entities that were part of the ISWGHS’ task force on survey coordination.
Description: The aim of this debate organised by the IAOS Krakow Working Group is to exchange views on the ethical challenges arising from the evolving data environment under which Official statistics operate. It will cover two sets of issues: (i) how the increasing use of privately‐held data by official statistics is leading to new developments to reinforce the professional values and ethical principles underpinning official statistics; and (ii) how official statistics could engage with providers of data from outside Official statistics that contribute to public decision‐making and public debates and other stakeholders to foster strong ethical principles.
Title in Arabic: بيانات إحصاءات الهجرة وطرق تحليلها
Organizer(s): AITRS
Description: في ظل تنامي الهجرة من وإلى العديد من البلدان العربية وكون المنطقة العربية من أهم الدول المستقبلة والمرسلة للهجرة الدولية وكذلك وجود العديد من الدول العربية في منطقة جغرافية يكثر فيها الحراك البشري بوجه عام، فإنه من الواجب إيلاء المزيد من الاهتمام بقضايا الهجرة، بما في ذلك طرق تحليل بيانات الهجرة لإرشاد السياسات في هذا المجال. تهدف هذه الورشة التدريبية أساسا الى تعزيز قدرات العاملين في الأجهزة الاحصائية العربية في تحليل بيانات الهجرة والطرق المختلفة المتبعة في تحليل البيانات مع التركيز على الطرق المختلفة لتحليل بيانات الهجرة التي يتم جمعها من خلال التعداد ات السكانية وكذلك البيانات التي يتم جمعها من خلال المسوح الميدانية المتخصصة
Description: The FAO Sub-Commission of the International Forestry Students’ Association (IFSA), in collaboration with the FAO Forestry Division (NFO), has organized the “Forests and Climate Transparency” webinar series.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 29 Dec 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP KOSTAT Korea
Description: The achievement of the Sustainable Development Goals (SDGs) requires the availability of high qualitytimely and reliable data to produce the relevant SDG indicators and other statisticsdisaggregated as relevant. In order to meet this needofficial statistics must modernize and incorporate new data sourcesincluding Big Data. At its 53rd session in 2022the Statistical Commission underscored the importance of mainstreaming the use of big data and data science into the work programmes of national statistical offices and the necessity to include training in big data and data science into the training curricula of national statistical offices. This course is a first response to this injunction by sharing experienceand providing the pedagogical activities required for understanding the process leading to the production and dissemination of official statistics with new data sources.
Description: This is a comprehensive training course that covers application of Excel in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Planners policy Makers Statisticians Economist and Monitoring and Evaluation Officers Researchers and the Academia
Title in Arabic: ادارة الجودة الشاملة والتميز المؤسسي في العمل الإحصائي
Organizer(s): AITRS
Description: وانطلاقا مما سبق ذكره، أصبح محتما على أجهزة الإحصاء الوطنية العربية إرساء قواعد جديدة ومتجددة للتدبير العملي والإستراتيجي للعمل الإحصائي ينبني على المقاربات و المناهج التي طورها علماء واختصاصيو علم التدبير في مجال إدارة الجودة الشاملة و السعي الحثيث الى التميز المؤسسي عبر ضمان التحسين المستمر للعمليات والإنتاج موازاة مع انخراط كلي للموارد البشرية المتاحة لتحقيق الأهداف المحددة بطريقة ناجعة وفعالة مبنية على ضمان الجودة و الابتكار والإبداع على كل المستويات. ومن هذا المنطلق، تأتي هذه الورشة التدريبية لدعم قدرات الأجهزة الإحصائية العربية في مجال ادارة الجودة الشاملة والتميز المؤسسي في العمل الإحصائي. فتماشيا مع استراتيجية واهداف المعهد العربي للتدريب والبحوث الإحصائية في مجال تعزيز القدرات الإحصائية للدول العربية واستنادا على الحاجة الماسة والمعبر عنه على مستوى الدول لتكوين كوادرها على المناهج والأدوات المرتبطة بنشر ثقافة الجودة مؤسسيا وارساء اسس تدبيرها بشكل يتماشى والأساليب الحديثة "للتدبير اللين" LEAN MANAGEMENT المبني على التحسين المستمر والابتكار المنتج للقيمة والمؤديين الى التميز المؤسسي في غالب الأحيان.
Description: The Data Working Group, together with the GEOSS Platform and the GEO Knowledge Hub teams are organizing a two-day Open Data and Open Knowledge workshop that will take place in Geneva from 15-16 June 2023.
Description: A total of 29 participants attended the 31stmeeting of the Expert Group on National Quality Assurance Frameworks, including members of 14countries and 4 international and regional organizations. During the meeting, which was held online the Expert Group discussed the work plan and topics for 2023-2024. The meeting agreed to form two subgroups focusing on quality culture and quality assurance when administrative and other data sources are used to produce statistics. The Expert Group agreed on the launch of an online discussion forum on quality assurance for official statistics on UNSD’s Global Network of Data Officers and Statisticians after summer. Furthermore, the meeting reviewed materials submitted by countries as part of last year’s global survey on the issue of quality assurance when administrative and other data sources are used. On the same topic, the Expert Group listened to the presentation given by a consultant of the Collaborative Administrative Data (CAD) introducing a draft Toolkit for assessing the quality of administrative data sources to produce official statistics. The next meeting of the Expert Group is scheduled for 21 September 2023.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP Paris21
Description: With the increased and evolving demand for data from national development plansAgenda 2030 for sustainable development goalsthe current and post crisis affecting the Worldincluding COVID-19 and climate change; National statistical offices (NSOs) continue to be at the forefront of developing and coordinating national statistical systems (NSS) as well as engaging with the larger data ecosystem. National statistical systems (NSS) in low and middle-income countries need to innovate and adapt quickly not only in terms of data productionbut also in more effectively re-usinganalysingdisseminating and communicating other existing sources of development data. The development of strong leadership and management skills at both senior- and mid - levels is key to ensure NSOs are positioned to drive change and operate in modern and dynamic data ecosystems. In this contextenhancing leadership skills of leaders of NSO through targeted trainings is an important strategy to position the NSO/NSS to respond to emerging data needsstrengthen institutional reputationand build trust among citizens.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The content produced by a statistical organisation is essentially facts and figures. This course will explain how you can translate it to a more understandable and simple way and reach everybody outside the statistical world. Writing in a clear, concise and simple manner while avoiding statistical jargon.
Target Audience: Staff drafting /writing statistical texts and articles for publications, the web or any other type of product. Staff working in the communication/dissemination/press departments with the role of promoting the widest possible dissemination and use of official statistics.
Description: I intend to connect two topics: statistics disinformation (fake news phenomena) and critical education. For that, I will work on three papers which bring results of our research and were published recently. "Fake News Phenomenon: Formation of Beliefs under Pragmatic Optics and Mathematical Education"; “O raciocínio de professores de matemática sobre amostragem e argumentos persuasivos nas redes sociais [Mathematics teachers' reasoning about sampling and persuasive arguments on social media]”; and “Creative insubordination in statistics teaching: Possibilities to go beyond statistical literacy”. What connects the three investigations is the aim of understanding the role of mathematics and statistics education in the process of strengthening democracy. Examples of how Statistics education may assist students to develop their identities and engage in problems and social contexts that assist in empowering them to act politically in the future will be discussed.
Description: The United Nations Statistics Division, ESCWA and the Arab Institute for Training and Research in Statistics are organizing the "Arab regional statistical conference: Agility and resilience of national statistical systems”. The conference focuses on the priorities and emerging needs of statistical organizations to help them adapt and develop in times of crises. Relevant practices and challenges are documented to contribute to the extended knowledge base of the new Handbook of Statistical Organization.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Regulation (EC) No 1099/2008 on energy statistics. Also the Regulation (EU) 2016/1952/EC) on European statistics on natural gas and electricity prices and its implementation). The main focus will be on concepts, definitions, methodology, improving quality aspects and data validation on monthly, annual and price questionnaires (including discussions on issues observed in practise). The course will focus also on facilitating the learning processes on the Annual Hydrogen questionnaire and the Annual questionnaire on energy consumptions in Households and in Industry (Commission Regulation (EU) No 431/2014 of 24 April 2014 amending Regulation (EC) No 1099/2008 of the European Parliament and of the Council on energy statistics, as regards the implementation of annual statistics on energy consumption in households).
Target Audience: Statisticians dealing with compilation of monthly, prices and annual energy statistics wishing to understand better the system and overall framework of energy statistics. Also for those who will deal with the new Hydrogen questionnaire.
Description: On Tuesday 13 June, FAO's 50x2030 team organized a webinar titled "Data production component of the 50x2030 Initiative: producing more and better data for policy making".
Description: For this Joint FAO and Global Network Webinar we had with us Carola Fabi, Marco Scarnò and Craig Steforn Matadeen from FAO who presented on Essence, an integrated framework for documents retrieving and analysis developed by FAO. “Essence” stands for Expert Search Semantic ENriChmEnt and is a web tool developed by the FAO Data Lab that automatizes searching for scientific articles and identifies the most relevant ones through the use of artificial intelligence (AI). The AI method learns and extends users’ previous selections by recognizing patterns in their texts. Essence offers a semantic search engine and interactive filters to navigate the stored data, plus data visualization functions or procedures to extract statistical values from unstructured texts.
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data collected in accordance with international standards is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyse appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analye international labour migration and produce timely, high-quality, up-to-date international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policymaking.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs); development agencies; non-governmental organizations.
Description: This is a comprehensive training course that covers application of Excel in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Planners policy Makers Statisticians Economist and Monitoring and Evaluation Officers Researchers and the Academia
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To improve the theoretical and practical knowledge related to the collection, transmission, validation and aggregation of official water statistics. The main focus will be on different data sources and the complementarities of different direct and indirect methods such as measurements, surveys, models and estimations. The description of the respective strengths and weaknesses with special attention to data quality should thus result in an enhancement of the comparability between water statistics from countries using different methods. The courses shall also provide a platform and starting point for cooperation in method development among the countries. The aim of the courses is to explore possible ways of avoiding inconsistencies in the European water statistics and to obtain a more effective statistics production.
Target Audience: Staff involved in the production of official water statistics and other quantitative information under Union law on water.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+ via the graphical interface and R.
Target Audience: Junior users of seasonal adjustment methods involved in regular/massive data production wishing to enhance their knowledge of the methods and to use the JDEMETRA+ tool in an efficient way. People currently using TRAMO/SEATS and/or X13 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version.
Description: Decision 12/102. UN-GGIM acknowledged that it was a timely and strategically important topic to consider, and there is need to reflect on and position the work in terms of the vision of the Committee and the geospatial community moving forward, and within the mandates provided by ECOSOC. Moreover, the Committee urged the need for understanding and clarity on how the future ecosystem would link to the work already carried out by the Committee, including the UN-IGIF, as a solid base for the future geospatial ecosystem. The question now arises "what is the role of UN-GGIM in advancing the future geospatial ecosystem?". This webinar aims to facilitate discussion on the "future geospatial ecosystem" and help respond to UN-GGIM Decision 12/102. The outcomes of this interactive and participatory discussion will be captured in a report that will be tabled at the upcoming thirteenth session of UN-GGIM on 2-4 August 2023. In discussing how geospatial data and technologies can help overcome global challenges and embrace the opportunities that arise from mainstreaming the rapidly evolving technological frontier in front of us, participants at the webinar will discuss and identify UN-GGIM's role in this "future geospatial ecosystem". This will complement other strands of work under UN-GGIM's purview, ultimately strengthening the interlinkages between UN-GGIM's current and future work programme and positioning the Committee of Experts for the future vís-à-vis the future geospatial ecosystem.
Description: UNSD participated in a webinar organized by ECA jointly with UNSD and the UK Office for National Statistics (ONS). This is part of a European Union-funded project Support to monitoring of SDGs and statistics in Africa, implemented by ECA, which aims to develop methodology to track member states' progress towards achieving SDG, reporting and dissemination of SDGs indicators through harnessing innovative tools and technologies. The six project countries participated in the webinar, which follows on previous online and inperson training events that develop the countries’ capacity in modeling their SDG indicators in accordance with the SDMX standard and use this standard to efficiently report and disseminate their data using standardized tools and platforms while reducing the reporting burden. ECA provided an overview of the project, progress achieved so far, and plans for the implementation into 2024. UNSD reviewed the reporting of SDG indicators through the SDMX standard as well as recent developments, in particular e-learning resources that have become available in the past year with UNSD’s active participation and which facilitate capacity development in both SDMX in general and its application in the SDGs in particular. The ONS provided introductory training to enable the countries to set up prototype SDG dashboards based on the Open SDG platform, which uses the global SDG Data Structure Definition to efficiently disseminate national SDG indicators and metadata. The two-session webinar will be followed by further events that build on progress achieved so far and enable the countries to enhance and standardize the dissemination of their SDG indicators.
Source: IMF Metac (Data extracted on: 23 Apr 2024 )
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Organizer(s): IMF Metac AITRS
Description: In collaboration with the Arab Institute for Training and Research in Statistics (AITRS), METAC conducted a five-day workshop on Compiling Supply and Use Tables. The workshop was attended by 23 participants from 12 Arab countries and covered topics such as data sources and practical compilation techniques, balancing methods, transforming SUTs into input-output tables, and compiling SUTs in volume terms. Participants benefitted from presentations by the IMF expert, doing exercises for self-learning, and peer-to-peer learning through discussions on country practices.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). Both a brief, overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered. Introductions to each of the 3 main accounts, Environmental Taxes, EGSS, EPEA, plus some relevant extensions such as environmental subsidies and related transfers and ReMEA (resource management expenditure accounts) will be in focus. The course will make emphasis in putting together the practical difficulties that participants have in their offices to produce the monetary environmental accounts and discussing solutions and best practices.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above * Managers with responsibility on several or all the areas listed above.
Description: The aim of this debate organised by the IAOS Krakow Working Group is to exchange views on how Official statistics are currently engaging with users, how they address the issue of data and statistics misuse and whether they should take up new tasks to bring more value to users in the context of increased diversification of providers of data and statistics. The IAOS, as an independent association that is not bound by a specific institutional mandate, brings together a diversity of actors from the data ecosystem and is thus well placed to facilitate exchange of views, advance possible solutions and add specific value to make progress on these issues. This conversation is part of a series that will provide inputs for recommendations, in particular as regards trust, misuse and ethics, that the IAOS will present at a later stage. These recommendations should be for the benefit of all the actors in the data-ecosystem that aim to contribute to quality information for the common good.
Description: The United Nations Statistics Division (UNSD) and the United Nations Statistical Institute for Asia and the Pacific (UNSIAP), in collaboration with the Philippines Statistics Authority (PSA) are organizing a Regional Training Workshop on the System of Environmental-Economic Accounting Ecosystem Accounting (SEEA EA) for the Asia Pacific region. The workshop will be held in Manila, Philippines from 5 to 8 June 2023 and will be conducted in English. The workshop is an opportunity for participants to increase their technical knowledge of the System of Environmental-Economic Accounting Ecosystem Accounting (SEEA EA) through exercises, country examples and discussions focusing on ecosystem extent, condition, and services accounts. Participants will learn about the policy relevance of ecosystem accounts and how SEEA EA can support measuring progress towards achieving the targets of national policies and international agreements including the Sustainable Development Goals, the Kunming-Montreal Global Biodiversity Framework and the Paris Agreement. Institutional mechanisms, data sources and modelling tools will also be introduced. For additional information on the workshop, please see the concept note and provisional agenda.
Description: ESCWA and the United Nations Statistical Division (UNSD) are organizing the sixth workshop on the use of the Statistical Data and Metadata Exchange (SDMX) standards for Sustainable Development Goals (SDG) data reporting. The workshop aims to enhance countries’ capacities in relation to the exchange of national data. It also seeks to raise awareness of the latest developments in data exchange and promote the implementation of SDMX at the national level. Participants include statisticians and IT specialists from national statistical offices in the Arab region. The event offers exercises on data mapping and conversion using the SDMX standard tools as well examples of customizing a national Data Structure Definition. This event is part of the SDMX training series. 5-8 June 2023 Sixth training on using SDMX for SDG data reporting Workshop Amman
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of the course are: * Present the basics of scripting and programming in GIS and their benefits in ETL processes and automation; * Enable participants to employ scripting and programming in their daily work for GIS tasks.
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of statistics and intending to script processes in the domain of GI. Participants are expected to have knowledge of QGIS and spatial analysis. This course is not a beginner GIS course - The knowledge from the introductory courses on GIS from the ESTP should have been practiced.
Title in Arabic: تطوير التشريعات وتطوير النظم الإحصائية
Organizer(s): AITRS
Description: يرتكز العمل الاحصائي على تشريعات إحصائية تنظم آليات جمع ومعالجة ونشر البيانات، وعلى ضوء تطور المنهجيات ووسائل العمل الاحصائي اعتمادا على التكنولوجيا الحديثة، فان تحديث التشريعات الإحصائية وتطويرها مواكبة لهذه المستجدات أصبح من أولويات الأجهزة الإحصائية. وعلى هذا الأساس وتماشيا مع خطة عمل المعهد العربي للتدريب لسنتي 2023-2024، ستنظم دورة تدريبية عن بعد حول تطوير التشريعات الإحصائية لتبادل التجارب بين المشاركين وأفضل الممارسات في مجال تحديث الأطر القانونية وتأطير التعاون المؤسسي بين القطاع العام والخاص واعتماد مصادر متجددة للبيانات على غرار البيانات الضخمة. تتمثل أهداف الورشة بالأساس في إعطاء المشاركين لمحة عن المبادئ الأساسية للإحصاءات الرسمية للأمم المتحدة التي وقع اعتمادها بقرار من الجمعية العامة سنة 2014 والتي تعتبر أساسا يعتمد عليه عند اعداد التشريعات الإحصائية وكذلك العناصر الأساسية للقانون العام للإحصاءات الرسمية مع عرض لبعض الممارسات الجيدة في الدول العربية.
Title in Spanish: Seminario regional sobre metodologías de estimación en áreas pequeñas y desagregación de datos
Organizer(s): ECLAC Centro Regional de Estudios para el Desarrollo de la Sociedad de la Información
Description: El énfasis de la Agenda 2030 para el desarrollo sostenible en no dejar a nadie atrás y atender particularmente a los más vulnerables hace necesario contar con indicadores suficientemente desagregados según diversas características de la población y escalas geográficas.
Description: Classification tree algorithms are a convenient method to perform variable selection and obtain interpretable structures relating covariates and an outcome of interest. When fitting classification trees to survey data, it is common to ignore sampling weights as well other design characteristics such as stratification and clustering. However, unless the survey design is uninformative, there is a risk that the inference for the classification tree is incorrect. A particular application in which this is a concern is the construction of nonresponse adjustment cells, a key step in the development of survey weights. We propose an extension of the popular Chi-square Automatic Interaction Detector (CHAID) approach that accounts for the design by applying a Rao-Scott correction in its classification criterion. We discuss the statistical properties of the resulting algorithm under a design-based framework. We compare its performance to existing weighted and unweighted algorithms, and we illustrate the use of the method using data from the U.S. American Community Survey.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with information on theory (methodological framework) and practical challenges in the context of the compilation of Physical Environmental Accounts (Eurostat questionnaires).
Target Audience: * Statisticians involved in compiling data on economy-wide material flow accounts (EW-MFA), air emission accounts (AEA) or physical energy flow accounts (PEFA) under Regulation (EU) 691/2011. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above.
Description: For this Joint FAO and Global Network Webinar, FAO and UNSD experts will talk about Caliper - Statistical Classifications as Public Goods: The FAO approach to disseminating statistical classifications as user-friendly and interoperable resources. WHEN | Tuesday, 30 May 2023: 14:30-15:30 Rome time (check your time) To join, register here. Statistical classifications are the vocabularies that provide the "meaning" of statistical data. As such, they inform all activities related to data collection, analysis, comparison, and dissemination and, ultimately, they affect our knowledge, science and policy. In their talk, Caterina Caracciolo and Carola Fabi from FAO, and Ilaria Di Matteo from UNSD, will argue that given such a crucial role, statistical classifications should be treated as public goods - made available to users in a user-friendly manner, and to computer applications in a way that allows for timely and sound exchange of information. The speakers will present Caliper, FAO's dissemination platform for statistical classifications. Caliper aims at being a user-friendly tool for users, who can explore entire classifications, look up definitions and translations, and compare related classifications. Caliper also addresses data interoperability, by making classifications available in formats such that can be effectively reused in information systems. Caliper approach is based on open-source technologies.
Organizer(s): ESCAP ECA Paris21 Open Data Watch Data2x
Description: The Stats Cafe aimed to provide an overview of the current state of gender statistics within the Asia-Pacific region. The session also showcased innovative strategies, opportunities, and relationships current members have built through participation in the Gender Data Network (GDN) activities, particularly in the Africa region, and discussed the value proposition of the expansion of such a network to the Asia-Pacific region. Attendees also learned more about and appreciated the: State of gender statistics in the Asia-Pacific region, including opportunities for improvement and collaboration; Importance of cross-country exchange in scaling innovative gender data collection, analysis, and dissemination strategies; Value of cohort experiences that facilitate continued professional and personal development; and Impact of the GDN and possibilities for potential expansion to the Asia-Pacific region. , Stats Café Home: Upcoming events Concluded events
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UN Women SPC
Description: Within the framework of the Sustainable Development Goals (SDGs)gender equality is not only a standalone goal but also one of the crosscutting universal values that underpins the SDGsand a necessary precondition for achieving the goals of the 2030 development agenda. Good qualitytimelycomparableand disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets. The 2022 Sustainable Development Goals Progress Report produced by the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) shows that while there has been notable improvements in overall data vailability in Asia and the Pacific since the first benchmark report in 2017there are still significant data gaps. Notablyat the subregional levelthe report highlights a lack of sufficient data for Goal 5 (Achieve gender equality and empower all women and girls) and thus presents an incomplete picture of anticipated progress towards this goal for the Pacific. Strengthening capacities to produce and use gender statistics is central to closing the gender data gap.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme and the UN-OIC Cooperation Matrix for 2022-2024, SESRIC will organise a Training Course on ‘Agriculture Statistics and Food Security Analysis’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 29-30 May 2023 through an online video conferencing platform. Ms. Octavia Rizky Prasetyo and Ms. Ratna Rizki Amalia, Statisticians at the BPS-Statistics Indonesia, will conduct the course and cover the following topics: The Importance and Coverage of Agricultural Statistics Data Sources, Statistical Units, and Data Collection Method Indonesia’s Experience for Crop Estimation Agricultural Census (Importance, Methodological Consideration, and Items Recommended) Integrated and Sustainable Agricultural Data Collection (Importance and Framework Consideration) Food Security Measurements and Analysis In line with the joint activities agreed upon during the 15th Session of UN-OIC General Meeting on Cooperation held in Geneva, Switzerland on 18-20 July 2022; the Food and Agriculture Organization (FAO) and the Islamic Organization for Food Security (IOFS) will contribute to this training course on the following topics: Measurement of the Food and Agriculture-related SDG Indicators in OIC countries (FAO) Network Analysis and Visualization Methods for Food Security and Trade (IOFS) The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: يعتبر برنامج R من البرامج الأكثر استخداما على المستوى العالمي في مجال علم البيانات، وقد تم تطوير حزم ومرفقات في هذا البرنامج تتعلق بمنهجيات المعاينة وحساب وتعديل الأوزان. كذلك فإن كون البرنامج مفتوح للباحثين والمطورين للمنهجيات الإحصائية، فإن سرعة التطور فيه ومرونته جعل العاملين في بعض أجهزة الإحصاء الرسمية يبدؤون باستخدامه في كثير من التطبيقات الإحصائية ومن ضمنها تصميم واختيار العينات ومعالجة أوزان المعاينة. وفي هذا السياق، ينظم المعهد العربي للتدريب والبحوث الإحصائية ورشة عمل إقليمية عن بعد للأجهزة الإحصائية في البلدان العربية والمنظمات الاقليمية حول المعاينة باستخدام R لتعريف المشاركين بهذا الموضوع الهام.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application. Emphasis is given to the importance of evaluating alternative data sources for compiling RPPIs in terms of coverage, timeliness, richness in terms of supporting a quality-mix methodology, suitability of a price measure, and weighting. Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources. The methodological component of the course emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices. Mix-adjustment by stratification and hedonic regression are the main methods used to deal with this issue and interactive workshops deal with these topics. The course also highlights how data source and methodological issues are intertwined and follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank. Practical advice on RPPI compilation will draw on the 2020 RPPI Practical Compilation Guide published by the IMF.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat
Description: The aim of the course is: To improve the capacity of national statistical services to produce high quality ESA 2010 national accounts; To achieve an understanding of the theoretical basis and structure of ESA 2010 national accounts, together with sources and methodology; To provide a general overview and an understanding of the links of the different areas of the system of NA.
Target Audience: Staff working in National Statistical Institutes and Competent National Authorities (CNA) on the compilation of National Accounts (NA). The course is targeted at junior statisticians with at least one year’s experience in NA through to staff with several years' experience.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: The workshop trained 19 officials from the six member countries on methodological and compilation issues covering PPI conceptual and development issues; data sources for weights development and sample selection; and index coverage and compilations. As most countries are preparing for the next round of GDP rebase, the regional national accounts workshop focused on review and assessment of data sources and strengthening knowledge on using the SUT framework as an integral compilation framework.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat
Description: To provide the participants with advanced knowledge of the EGR system and its applications. To present the EGR business process, the functionalities of the applications, the EGR's role and good practices of integration into the production of official globalisation related statistics and quality checks.
Target Audience: Statisticians working on production of official statistics related to globalisation (FATS, FDI, GNI, BoP, etc.) in ESS or ESCB.
Description: The link between energy usage and tourism is significant, as the sector is dependent on both transport-related activities such as travel to, from and at the destination, and destination-related aspects such as accommodation, food services and tourist activities. Efforts to reduce its consumption can be beneficial for the sector through cost savings, and environmentally beneficial for the destination as a whole by reducing consumption of natural resources and lowering associated greenhouse gas emissions. However, measuring energy consumption in the tourism sector remains difficult and complex. This is partly because it is difficult to capture tourism´s indirect energy use through the construction of hotels, airports, cars and roads, as well as energy use in associated sectors, such as tour operators. Existing indicators focus on consumption, the use of alternative sources and the introduction of energy efficiency and saving programs. This fifth INSTO Insights webinar will discuss the experiences of selected experts and INSTO Members on measuring energy management at the destination level. Energy management is one of the 11 key issue areas INSTO Members have to monitor and manage. Experiences will be shared on used indicators and various methodologies in this regard. The implications of these monitoring efforts in terms of informing policies and strategies will also be discussed.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP
Description: Water is essential to achieve sustainable development. At a fundamental levelthe availability of clean water in and of itself is necessary for our health and overall well-being. Water is also an important input to many economic activitiesfrom the production of food and energy to the manufacturing of computers and cars. High quality and timely statistics on water are need in order to manage our water assets and track water supply and use.This course will focus on water statistics and accountsas well as some important water aggregates and indicators (including SDGs). The water accounts are based on the System for Environmental-Economic Accounting-Water (SEEA-Water) and the International Recommendations for Water Statistics (IRWS). These two documents support analysis of the role of water within the economyunderstanding of the hydrological cycle and valuation of water assets. They are consistent with the SEEA Central Framework and follow a similar accounting structure to the System of National Accounts (SNA).
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UNICEF KOSTAT Korea
Description: The United Nations Statistical Institute for Asia and Pacific (UNSIAP)together with United Nations Children’s Fund (UNICEF) and Statistics Korea (KOSTAT) will organize a regional training on education data capacity building from 15 to 19 May 2023in DaejeonRepublic of Korea. The program will focus on understanding education indicators based on household survey dataas well as administrative sources with a focus on SDG4 and other relevant SDG targets related to education such as child labour. Most of the indicatorshoweverwill come from MICS 6 datawhich should be available for all participating countries. In addition to the trainingthe capacity building activity will also serve as an opportunity for participating countries to share their experiences in terms of data useincluding both Education Management Information Systems (EMIS) and household data.
Description: UNSD participated, as resource persons, in the “Webinar on Communication/Testing and early implementation of new recommendations of the update of the System of National Accounts, 2008”, which was organized by the African Union Institute for Statistics (Statafric). The webinar was one of a series of webinars organized by Statafric to inform its Member States on the progress of the work to update the System of National Accounts,2008 (2008 SNA) and to collect their proposals/contributions on the issues addressed. The webinar was attended by around 65 participants, mainly from Africa. The chair of the communication task team (one of priority areas in the update of the 2008SNA) gave an overview of the recommendations in the various guidance notes that the task team has prepared and the way forward. In addition, USND presented an overview of the processes underlying the guidance notes and experimentation and testing exercises which will be organized to test the recommendations in selected guidance notes.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic and social classifications, their content and use.
Target Audience: Any statistician of a National Statistical Institute (including newcomers) dealing with any statistical domain and wishing to understand better the system of classifications used.
Description: Institutionalizing sound evidence-based sustainable development policies in the Caribbean requires quality, timely, and accessible climate change and disasters indicators that are harmonized and comparable across countries.
Description: The Global Webinar on Strengthening Climate Change and Disaster-Related Statistics: Needs, Priorities, and Action is part of a series of online webinars being held under the 14th tranche of the United Nations Development Account (DA14) Project “Resilient and agile National Statistical Systems to meet post-COVID-19 data needs to recover better”. The DA14 Project aims to help enhance the resilience and agility of the national statistical systems (NSS) of the 50 beneficiary countries to respond to emerging economic, social and environmental data needs in times of crises and disasters, through the use of innovative data sources, advanced data acquisition methods and modern technologies, while ensuring a path towards the achievement of the 2030 Agenda for Sustainable Development. This webinar is organized under Workstream 2.1 of the DA14 project, which aims to strengthen national capacities, and increase the availability and policy use of statistics and indicators on climate change and disaster-related statistics. The Workstream is co-facilitated by the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) and the United Nations Environment Programme (UNEP) in collaboration with the Economic Commission for Africa (ECA), the Economic Commission for Europe (ECE), the Economic Commission for Latin America and the Caribbean (ECLAC), the Economic and Social Commission for Western Asia (ESCWA) and the United Nations Statistics Division (UNSD). The objectives of this webinar are to: Enhance awareness and understanding in the beneficiary countries of relevant international statistical frameworks and guidelines on climate change and disaster-related statistics; Share experiences, including good practices as well as technical and institutional challenges, on the production and use of climate change and disaster-related statistics between beneficiary countries; Discuss national priorities and plans for improving climate change and disaster-related statistics, and, Share and discuss how countries may further engage in the project. Before and after the webinar, each participant will be invited to complete a short survey on their level of awareness and knowledge relating to climate change and disaster-related statistics.
Description: From 8 March to 10 May 2023, FAO's Office of Chief Statistician organized a Webinar Series on Earth observation data for agricultural statistics. The webinar series raised awareness of the EOSTAT project and highlighted FAO's work in building countries' capacity on the use of Earth observation data for the production of agricultural statistics. The EOSTAT webinar series also discussed the main innovations introduced in the field of EO based crop statistics implemented by FAO through R&D and testing in countries in collaboration with the academia. These include: 1) Standardization of EO methods to produce annual land cover/use maps 2) Crop type mapping in the context of in-situ data scarcity 3) Coupling of EO data with physical based crop yield modelling Moreover, the series shed light on how the innovations brought by the EOSTAT offer a solution to overcome the challenges connected with the collection and predication of crop statistics (acreage and yield) using both traditional field survey-based methods and the EO based methods. Finally, the webinar series provided a platform to enhance collaboration and potentially mobilize resources. The FAO Webinar Series "Earth observation data for agricultural statistics" consisted of six webinar sessions. Simultaneous interpretation was provided in English and Spanish. Session 1 (8 March 2023, 15:30 – 17:00) Recording (Passcode: =Y9v=5WF) Presentation (Pietro Gennari) Presentation (Lorenzo de Simone) EOSTAT project overall presentation Organized jointly with the Global Network of Data Officers and Statisticians Speakers: Pietro Gennari, FAO & Lorenzo De Simone, FAO Session 2 (20 March 2023, 15:30 – 17:00) Recording (Passcode: 4L1vtay%) Presentation (Lorenzo de Simone) Presentation (Prof. Bruno Basso) Crop yield mapping and yield statistics Speaker: Lorenzo De Simone Guest: Prof. Bruno Basso, Michigan State University Session 3 (4 April 2023, 15:30 – 17:00) Recording (Passcode: f*v2Z^!n) Presentation (Sophie Bontemps) Crop type mapping and acreage Speaker: Lorenzo De Simone, FAO Guest: Sophie Bontemps, Université of Louvain Session 4 (13 April 2023, 15:30 – 17:00) Recording (Passcode: A2Y7&&Uu) Presentation (William Ouellette) Standardized land cover classification for land cover statistics Speaker: Lorenzo De Simone, FAO Guest: William Ouellette, CEO at SoilWatch Session 5 (27 April 2023, 15:30 – 17:00) Recording (Passcode: 4@c#56=D) Presentation (Sophie Bontemps) EO augmented survey design, in-situ data standards, and best practices in georeferencing Speaker: Lorenzo De Simone, FAO Guest: Sophie Bontemps, Université of Louvain Session 6 (10 May 2023, 15:30 – 17:00) Recording(Passcode: kf7Nh?QK) Presentation (Sherrie Wang) Crop field boundaries mapping using machine learning and very high-resolution data Speaker: Lorenzo De Simone, FAO Guests: Sherrie Wang, MIT Lisa Rebelo, Digital Earth Africa For more information, please visit the FAO-EOSTAT project page.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): FAO University of Buenos Aires Argentina
Description: The virtual lecture with Arbab Asfandiyar Khan, co-coordinator of SDG indicator 2.4.1, FAO Statistics Division, will be held in English with simultaneous interpretation in Spanish. WHEN | Wednesday 10 May 2023 (15:00 - 17:00, Rome time)
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with theory and practice of quality in Official Statistics, in particular process and product quality. To this purpose, a brief overview of the ESS quality framework is given. Then, the focus of the course shifts on process and product quality measurement. The statistical process is described and tools for preventing and reducing the errors are presented and discussed. Methods and tools to assess the effect of non-sampling errors such as coverage, measurement and nonresponse errors in statistical products are widely described.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management.
Description: IAOS Krakow Working Group first debate on interactions and collaborations between official statistics producers and non-official data owners The debate will deal with the interactions and collaborations between official statistics producers and non-official data owners (see attached a concept note). The Krakow Working Group was established by the IAOS in April 2021. Its mandate is to reflect on the burning challenges Official Statistics face in today’s datafied societies. The IAOS, as an independent association that is not bound by a specific institutional mandate, brings together a diversity of actors from the data ecosystem and is thus well placed to exchange views, advance possible solutions and add specific value to make progress on the issues at stake. Two additional debates will be held in June 2023. One will discuss how to increase the engagement with and meet the needs of users, and address data and statistics misuse; the other will discuss whether there is a need to review/adapt ethical principles for official statistics and how best to foster data ethics. The outcomes of the three debates will help prepare a set of recommendations that will be presented in preliminary form at the World Statistics Congress in Ottawa in July this year. These recommendations should be for the benefit of all the actors in the data ecosystem that aim to contribute to quality information for the common good.
Description: The main objective of the course is to enhance the understanding and capacities of ILO constituents and social partners in designing and implementing household surveys and in processing sample data in line with best methodological practices. The course will enhance participant's' knowledge of the different sampling and weighting techniques, highlighting their pros and cons. In addition, it will highlight the link between sampling techniques and survey design, with a particular focus on labour force surveys (LFS), the most common source of official labour statistics across the globe. More specifically, the aims of the course are to: - Enhance understanding on sample surveys and survey designs; - Provide insights into the principles and practices of sampling; - Enrich understanding of estimation theory, methods for probability sampling, and sampling frames; - Improve understanding of different weighting strategies and treatment of unit non-response; - Increase understanding of quality dimensions and calculation of sample size for complex multi-stage designs; - Provide practical case studies on the treatment of total non-response and on weighting, making use of different sets of benchmarks available for different population sub-groups and/or for different geographical domains.
Target Audience: Important note: This course requires a basic knowledge of statistics and probability. The target audience includes: - Statisticians and practitioners from national statistical offices who have a role in designing household surveys samples and weighting survey data; - Other Statisticians from national statistical offices; Ministries of labour and other institutions involved in the production of work, social and gender-related statistics; - Employment and development policy analysts from national statistical offices, research and academic institutions, international organizations and donor organizations.
Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-touse, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer the training Advanced STATA for labour market analysis. Harnessing the latest ground-breaking learning technologies, the ITCILO is proudly offering this course as face to face activity in Turin in full collaboration with the ILO Department of Statistics.
Target Audience: The course targets: - Labour Statisticians from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions in charge of SDG statistical monitoring; - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations; and - Officials responsible for managing the production and dissemination of labour market statistics, particularly for the SDG national reporting.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDGs and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Joint UNSD and SACU Training Workshop on International Merchandise Trade Statistics (IMTS), Statistical Data and Metadata eXchange (SDMX), and Data Tools
Description: UNSD and the Southern African Customs Union (SACU) jointly organized a Workshop on International Merchandise Trade Statistics (IMTS), Statistical Data and Metadata eXchange (SDMX), Structured Query Language (SQL), and Trade Data Tools. The Workshop involved 31 participants from SACU Member States’ institutions (customs offices, national statistical offices, central banks, and Ministries of Finance), 13participants from international organizations(UNSD, UNCTAD, SACU, COMESA and Office of the Resident Coordinator, United Nations -South Africa) of which 6 participated virtually. Participants shared best practices regarding the implementation of the International Merchandise Trade Statistics: Concepts and Definitions 2010 (IMTS 2010), especially for scope and coverage, issues of bilateral asymmetries, quality and data comparability, data dissemination, analyses and uses. The meeting also discussed emerging issues in merchandise trade statistics, including Digital trade, Big data, Trade by Enterprise Characteristics (TEC), and the revision of the international standards for trade statistics. Furthermore, the participants were introduced to the Statistical Data and Metadata Exchange (SDMX), Structured Query Language (SQL), and the new UN Trade Data Tool (TDT). Participants acquired new knowledge and information that will be applied to improve their work and programs in international trade statistics. Furthermore, the new perspectives and information shared in this Workshop will be further reflected upon in the ongoing processes for revising the international standards for trade statistics.
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United Nations Regional Workshop for the Implementation of the Degree of Urbanization Methodology
Description: UNSD conducted a capacity building training workshop on the Degree of Urbanisation(DEGURBA) Methodology for national statistics offices and geospatial institutions of countries in Central Asia. The workshop was organized in cooperation with the European Commission Joint Research Center (EC-JRC) and UN-Habitat and included the participation of statisticians and geospatial specialists from Azerbaijan, Kazakhstan, Kyrgyzstan, Tajikistan and Uzbekistan, as well as experts from UNSD, ESCAP, EC-JRC and UN-Habitat. As national Statistical Offices use different national criteria to define cities, urban and rural areas, the Degree of Urbanisation methodology was developed by the European Commission, UN-Habitat, FAO and other partners as a way to harmonize these definitions and promote international and regional data comparability, particularly in the context of reporting on the Sustainable Development Goals (SDGs) and on the New Urban Agenda (NUA). DEGURBA was endorsed by the Statistical Commission at its 51stSession in 2020. Through theoretical and practical sessions the participants were trained on 1) the need for this methodology 2) theory and concepts 3) data inputs, data preparation and technical capacity 4) applying the methodology, reviewing and evaluating the results and5) its applications for reporting of data and SDG indicators by degree of urbanization. The participants also exchanged experiences/challenges and learned from each other. Finally, this capacity building workshop further emphasized and provided practical knowledge on the importance of integrating census data with geospatial information.
Description: The aim of this course is to develop institutional capacities for the operationalization of Labour Market Information Systems (LMIS). The focus is on building links with data sources that feed the system, produce and store selected indicators in a centralized repository, and make them available for generating reports on labour-market performance. Such systems are also powerful tools for labour-market matching and evidence-based policymaking.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics.
Title in Arabic: التقديرات والاسقاطات السكانية باستعمال البرامج الإحصائية
Organizer(s): AITRS
Description: تمثل الإسقاطات السكانية أهمية كبرى عند وضع الخطط التنموية والسكانية و الاجتماعية و الاقتصادية، ويتم الاعتماد عليها لتشخيص الوضع القائم وتحديد الاحتياجات المستقبلية لأي بلد. كما تعتبر الاسقاطات السكانية مادة هامة في مجالي البحث والتطوير في كل المجالات، بالإضافة الى دورها المحوري في كل عملية سياسية ومنها بالخصوص إجراء الانتخابات على كل المستويات الإدارية. ومن المعروف أن التعدادات السكانية عادة ما تنجز كل عشر سنوات مما يخلق حاجة اكيدة الى بيانات ومؤشرات سكانية وديمغرافية بين التعدادين المتتاليين. وتمثل الإسقاطات السكانية الحل الأمثل لسد هذه الفجوة وتوفير الحاجيات الضرورية من البيانات السكانية لمختلف المستخدمين، وتتضمن الاسقاطات الافتراض بأن اتجاهات السكان قد تتغير تدريجياً وليس فجأة شريطة عدم حدوث تطورات مفاجئة وغير محسوبة، كما انها تفترض في بعض الاحيان الاستمرار المستقبلي لقيم المؤشرات الديموغرافية السائدة، وستبقى مستمرة بنفس المستوى في المستقبل بغض النظر عن أي تأثير على هذه الاتجاهات. وقد طور المهتمون بعلم السكان والديمغرافيا العديد من البرامج الإحصائية المتكاملة لإنجاز الاسقاطات والقديرات السكانية في أحسن الظروف وبالجودة المطلوبة على غرار Spectrumو Fivsin و Mortpak و PAS ... وتندرج هذه الورشة في اطار مواصلة المعهد دعم قدرات العاملين في المجالات الديمغرافية والسكانية بالاجهزة الإحصائية العربية والمهتمين بالاحصائيات الاجتماعية بشكل عام من خلال التركيز على البعد العملي وتبيان كيفية استغلال البرامج الإحصائية المتوفرة في انجاز التقديرات والاسقاطات السكانية.
Description: The regional workshop for the Civil Registration and Vital Statistics (CRVS) Inequality Assessment project in Asia and the Pacific will take place in Bangkok on 8 to 9 May 2023. The workshop provides an opportunity for countries which undertook an inequality assessment to share experiences and lessons learned with other countries, and to document best practices for other countries which may be interested in undertaking an inequality assessment in the future. The invitations have been sent to participants, and the concept note can be viewed from the file below.
Regional Workshop on Measuring Gross Capital Formation
07 May 2023 – 11 May 2023
Source: IMF Metac (Data extracted on: 29 May 2024 )
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Description: In collaboration with the IMF's Middle East Center for Economics and Finance (CEF), METAC conducted a five-day workshop on Measuring Gross Capital Formation. The workshop was attended by 34 participants from 16 Arab countries and covered concepts, data sources, and measurement methods to compile estimates of gross fixed capital formation, changes in inventories, consumption of fixed capital, and stocks of produced assets at current prices and in volume terms.
Description: Join the FAO Land and Water Division for a presentation on WaPOR 3.0 to discover the new database and its improvements, get introduced to the new portal and its features and learn about applications and user's experiences.
Source: World Bank (Data extracted on: 03 Feb 2023 )
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Organizer(s): World Bank
Description: Human activity has caused precipitous increases in greenhouse-gas (GHG) emissions, resulting in a one degree warming of average global surface temperatures over the past century. As the planet responds to rising emissions, extreme weather events are expected to become more frequent, distressing both natural and human systems. Researchers and practitioners need innovative analytical tools and data sources to understand how to mitigate the risks and impact of climate change on welfare. COP27 ended with a compromise to create a fund sourced from developed countries to remedy climate change damages in low income and fragile contexts. This adds to the panoply of climate funds and financial tools geared toward broader action on climate change and the commitment of all development institutions to align their financing with the Paris Agreement. To make sure these investments maximize well-being and protect those who are most at risk, we need to assess not only what the damages would be and who would be most vulnerable, but also what mitigation and resilience strategies are most effective. To this end, the World Bank’s Development Impact Evaluation (DIME) department and Data Analytics and Tools (DECAT) unit, the Center for Effective Global Action (CEGA), and the University of Chicago’s Development Innovation Lab (DIL) will host the ninth annual Measuring Development Conference (MeasureDev). The Mitigating the Risks and Impacts of Climate Change conference will convene researchers at the frontiers of physical and social sciences and decision-makers who influence humanity’s responses to the challenges of climate change. It will showcase innovative data sources and analytical techniques to better monitor emissions and appraise efforts to mitigate their consequences. MeasureDev will feature a series of presentations, panel discussions, and lightning talks on novel applications of mobile data, satellite imagery, remote sensing technologies, and the computational approaches to make sense of the data to provide more granular, frequent, and accurate insights regarding our changing climate and actions to respond. Participants will learn about the frontiers of measurement using these approaches and gain perspectives from leading academic and industry pioneers. Researchers, graduate students, practitioners, policymakers, and industry partners are all welcome to submit to our call for speakers using this form.
Description: FAO, in collaboration with UNSD, hosted a webinar on Thursday 4 May 2023 to gather feedback on the newly released SDG Shiny app and proposed approach, and discuss possible extensions and future developments. FAO has recently launched the FAO SDG Progress Assessment App: a web-based tool designed to automatize the assessment of progress made at the national, regional, and global level towards the achievement of the SDGs. The developed tool allows measuring the current status and trend of SDG Indicators and Targets based on the FAO progress assessment methodology. FAO, in collaboration with UNSD, hosted a webinar on Thursday 4 May 2023 to gather feedback on the developed application and proposed approach, and discuss possible extensions and future developments, as well as opportunities for collaboration across UN system entities.About the speakers: Aida Khalil is a Statistician with the Office of the Chief Statistician of FAO. In this role, she conducts research and methodological work in the field of data disaggregation and progress assessment of SDG indicators under FAO custodianship. Her areas of expertise include household and agricultural surveys design and implementation, and small area estimation. Stefano di Candia is a Statistician with the Office of the Chief Statistician of FAO, where he contributes to the work on data disaggregation and progress assessment of SDG indicators. His areas of expertise include survey data analysis, R programming, and small area estimation. Access the video recording here. Related links FAO SDG Progress Assessment App Measuring progress towards the Sustainable Development Goals at indicator, target and goal level Contact Chief Statistician (chief-statistician@fao.org) Aida Khalil (ClaraAida.Khalil@fao.org)
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘Transport Statistics’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 3-4 May 2023 through an online video conferencing platform. Ms. Rini Kusumastuti and Ms. Lia Ermayati, Statisticians at the from BPS-Statistics Indonesia, will conduct the course and cover the following topics: Introduction and Methodology Transport Statistics by Mode Quarterly Survey of Transport Business Data Dissemination Challenges and Future Enhancement The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: The Global Webinar on Strengthening Climate Change and Disaster-Related Statistics: Needs, Priorities, and Action is part of a series of online webinars being held under the 14th tranche of the United Nations Development Account (DA14) Project “Resilient and agile National Statistical Systems to meet post-COVID-19 data needs to recover better”. The DA14 Project aims to help enhance the resilience and agility of the national statistical systems (NSS) of the 50 beneficiary countries to respond to emerging economic, social and environmental data needs in times of crises and disasters, through the use of innovative data sources, advanced data acquisition methods and modern technologies, while ensuring a path towards the achievement of the 2030 Agenda for Sustainable Development. This webinar is organized under Workstream 2.1 of the DA14 project, which aims to strengthen national capacities, and increase the availability and policy use of statistics and indicators on climate change and disaster-related statistics. The Workstream is co-facilitated by the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) and the United Nations Environment Programme (UNEP) in collaboration with the Economic Commission for Africa (ECA), the Economic Commission for Europe (ECE), the Economic Commission for Latin America and the Caribbean (ECLAC), the Economic and Social Commission for Western Asia (ESCWA) and the United Nations Statistics Division (UNSD). The objectives of this webinar are to: Enhance awareness and understanding in the beneficiary countries of relevant international statistical frameworks and guidelines on climate change and disaster-related statistics; Share experiences, including good practices as well as technical and institutional challenges, on the production and use of climate change and disaster-related statistics between beneficiary countries; Discuss national priorities and plans for improving climate change and disaster-related statistics, and, Share and discuss how countries may further engage in the project. Before and after the webinar, each participant will be invited to complete a short survey on their level of awareness and knowledge relating to climate change and disaster-related statistics.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘SDG 2 (Zero Hunger) Indicators’ for the benefit of National Statistical Offices (NSOs) of Arabic speaking OIC countries on 2-4 May 2023 through an online video conferencing platform. Mr. Tamer Sultan Al Rousan, Head of Planning Statistics Division at the Department of Statistics (DoS) of Jordan, will conduct the course and cover the following topics: Definitions and Concepts of SDG2 (Zero Hunger) Indicators; Resources of SDG 2 (Zero Hunger) Indicators; and Methodology for Calculating the SDG 2 (Zero Hunger) Indicators In line with the joint activities agreed upon during the 15th Session of UN-OIC General Meeting on Cooperation held in Geneva, Switzerland on 18-20 July 2022; the Food and Agriculture Organization (FAO) will contribute to this training course on the following topics: 2.1.1 Prevalence of undernourishment, and 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES). The StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of the SESRIC. Within its framework, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB questionnaire, assesses their needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provide countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts that cover balance of payments and international investment position (IIP) statistics according to the internationally accepted standards. It is a basic-level course laying the foundation for the face-to-face intermediate balance of payments and IIP statistics course. It is open to those who compile, or plan to compile, balance of payments and IIP statistics and to the general public.
Description: This online course, presented by the Statistics Department, introduces participants to key CPI concepts and methods. The course provides an overview of key CPI concepts, definitions, and uses. It provides an overview of different index number formulas and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course also discusses the sources and methods for sampling areas, items, outlets, and varieties; treatment of temporarily and permanently missing prices; and updating and linking CPI data series. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: defining key concepts and uses of CPI data and how these influence the design of a CPI; meeting data users’ needs to ensure relevancy; calculating elementary and upper-level indexes; methods for sampling areas, items, outlets, and varieties; methods for handling temporarily and permanently missing prices, including adjusting prices for quality changes; and chaining and linking indexes with updated weighting structures. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs) and users of CPI data interested in understanding key concepts and compilation issues.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Target Audience: Officials who compile macroeconomic and financial statistics in national statistical organizations, ministries of finance, economy, or planning, or in central banks.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011) —in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Target Audience: Officials whose main responsibility is compiling and disseminating public sector debt statistics.
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014 , which is harmonized with the System of National Accounts (SNA 2008) . The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Target Audience: Officials whose main responsibility is compiling and disseminating fiscal statistics.
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). The course will cover basic concepts, definitions, and classifications, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the EDS. Finally, participants will be briefed on basic concepts of the debt sustainability analysis framework.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts—specifically compilation of external debt statistics (EDS) and/or international investment position (IIP) statistics. It is a basic-level course laying the foundation for the face-to-face EDS course. It is open to those who compile, or plan to compile, EDS/IIP and to the general public.
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in the compilation of annual gross domestic product both at current prices and in volume terms using the production and expenditure approaches, in support of better policy-making and surveillance. The course starts with an overview of the system of national accounts, presenting the sequence of accounts for transactions and other flows as well as balance sheets, with a focus on the framework of the 2008 SNA. It covers the main concepts involving transactions, other economic flows, stocks, institutional units, classifications, and main macroeconomic aggregates measured by the system. The main lectures and workshops include: sessions on the production account covering the definition and measurement of output, intermediate consumption, and value added; valuation issues; and the treatment of particular industries; source data and issues in the compilation of GDP by production and expenditure approaches; deflators and derivation of volume measures of GDP; and specific issues related to goods and services transactions, including supply and use framework, inventory valuation adjustment, consumption of fixed capital, non-observed and informal economy, global supply chains, and the digital economy.Emphasis is also placed on sharing country experiences among the participants.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts data.
Description: This course, presented by the Statistics Department, teaches you how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs). The course presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.
Description: Click here to go to the event The African Centre of Statistics (ACS) of the United Nations Economic Commission for Africa (UNECA) is launching the first of StatsTalk-Africa webinar series. The series will provide a space for dialogues about data, statistics, and innovative tools with data experts and users within ECA, Africa and rest of the world. The first of the monthly webinar series will focus on: Demystifying Big Data and Official Statistics in Africa and will take place on Friday, 28th April 2023 from 12:30 to 13:30 EAT via Microsoft Teams. The webinar will explain the link between Big Data and Official Statistics and how they can be used to inform better planning, policymaking towards achievement of Agenda 2030 and Agenda 2063, the Africa We Want. The event is expected to increase data literacy, understanding of the big data situation, needs and uses in Africa; and share innovative tools and methods for data production and management. This webinar specifically aims to: Serve as a knowledge-sharing and exchange platform. Demystify and promote greater understanding of key statistical concepts and alternative data sources that could be harnessed in the African context. Register in advance for this meeting here. Microsoft Teams meeting Join on your computer, mobile app or room device. Click here to join the meeting Meeting ID: 395 536 119 290 Passcode: Yuv6wN Download Teams | Join on the web Join with a video conferencing device. unitevc@m.webex.com Video Conference ID: 124 638 313 6 Alternate VTC instructions
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UNCEBTS UNSD
Description: Historically business statistics have focused very much in measuring the economic performance and competitiveness of businesses. Howeverbusinesses play a very important role toward sustainability and wellbeing. Task team on well-being and sustainability under the UN Committee of Experts on Business and Trade Statistics (UN CEBTS) identified a set of 17 reference indicators related to the measurement of the business sector’s impact on well-being and sustainability. These indicators were based on the review of the indicators of the Sustainable Development Goal indicators of the 2030 Agenda for Sustainable Development and the core indicators for entity reporting on contribution towards implementation of the Sustainable Development Goals in order to provide a bridge between the information available at business level with business statistics and ultimately with relevant SDG indicators.This webinar series will focus on the set of indicators related to wellbeing and sustainability and is organized to (1) provide an overview of the importance of measuring impact of businesses on wellbeing and sustainability; (2) review data sources includingfor example non-financial reporting; and (3) share country experiences on challenges and opportunities in the compilation of these indicators. Participation to these webinars is free of charge.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: To enable participants: * To have an understanding of the range of techniques which make up a cognitive interview; * To have increased their own ability to do cognitive interviewing; * To have insight into selecting and recruiting respondents; * To have insight into analysing cognitive interview data and creating better survey questions; * To have awareness of a broad range of uses for cognitive interviewing; * To have awareness of the contribution of cognitive interviewing in comparison to other testing methods; * To understand how cognitive interviewing can improve questionnaires on gender topics and thus the associated social statistics.
Target Audience: The course is targeted at NSI methodologists and social scientists whose work involves conducting surveys.
Organizer(s): UNSD Basque Centre for Climate Change South African National Biodiversity Institute European Space Agency GEO Secretariat
Description: “The System of Environmental-Economic Accounting (SEEA) Ecosystem Accounts as Enabler of Data and Model Integration to Improve Decision-Making” (TA1.39), a side event of the UN World Data Forum, took place virtually on Wednesday, 26 April 2023 at 14:45 – 15:45 (GMT+8). The event was organized by the United Nations Statistics Division in collaboration with the Basque Center for Climate Change (BC3), the South African National Biodiversity Institute (SANBI), the European Space Agency (ESA) and the GEO Secretariat. It examined how Natural Capital Accounting (NCA), underpinned by the SEEA Ecosystem Accounting adopted in March 2021, facilitates effective decisions by providing an integrated statistical framework to go beyond GDP. The event also featured the ARIES for SEEA, an open-source technology that integrates data and models developed by the global and national research community to produce ecosystem extent, condition and services accounts. Using the web-based repositories discovered/connected through artificial intelligence, as well as Earth Observation data and technologies, it supports the calculation of ecosystem accounts. The South Africa National Biodiversity Institute shared its experience in developing ecosystem accounts combining in situ data, with earth observation and modelling approaches. For more information see the UNWDF website here.
Description: Availability of joint micro data on income, consumption and wealth is fundamental to measure poverty and living conditions of households, overcoming the measures used up to now based on the observation of a single dimension (mainly income or consumption). The production of official statistics on the joint distribution of income, consumption and wealth at the micro level is an up-to-date priority for National Statistical Institutes as well as a key objective at the European level. The webinar will summarise the ISTAT experience for the production of micro-data on household income, consumption and wealth in Italy. It will present the actions taken in order to fill the gaps in term of data requirements and address the major methodological challenges in using statistical matching (SM) techniques. Specifically, we applied SM to European Union Statistics on Income and Living Conditions (EU-SILC), Household Budget Survey (HBS), both carried out by ISTAT, and to Survey on Household Income and Wealth (SHIW) of the Bank of Italy. The webinar will present the matching exercises to produce an integrated data set on household income and consumption and the deep process of an ex-ante harmonization of EU-SILC and HBS to fulfil those pre-conditions essential for data matching purposes. From the beginning, the work done was mainly directed on defining a sound methodological framework. We tested and applied the traditional statistical matching techniques (nonparametric imputation) and the more innovative methods based on the uncertainty analysis and on the matching of complex sample surveys (Renssen’s weights calibration approach). After the presentation of the main results of the consumption imputation, the problems associated with the imputation of household wealth collected in SHIW will be explained. This is an unprecedented and complex activity but that can benefit from the SM experience accumulated at ISTAT and from the cooperation project with the Bank of Italy to produce micro data on the joint distribution of income, consumption and wealth.
Description: During this Joint ISWGHS and Global Network Webinar Attila Hancioglu from UNICEF talked about the Launch of the 7th round of MICS (Multiple Indicator Cluster Surveys), with a focus on new initiatives and innovations. UNICEF’s MICS is the largest source of statistically sound and internationally comparable data on children and women worldwide. With over 350 surveys conducted in 118 countries, MICS is an integral part of plans and policies of many governments around the world and the primary data source on the well-being of children. The 7th round aims to broaden the scope towards assessing emerging issues on the situation of children. The new round of MICS is featuring a new questionnaire architecture, expanded content, and new initiatives and innovations. The joint webinar covered: Main features of the 7th round of MICS, including the new questionnaire architecture and enhanced content, and plans for inclusion of new indicators during 2023-24; Ongoing roll-out of MICS7; and New initiatives and innovations. This event was co-organized with the ISWGHS.
Description: UNICEF’s Centre of Excellence on Data for Children with Disabilities will host an open house webinar on 25 April 2023. The Centre supports data analyses to promote the use of data and the generation of knowledge on the state of children with disabilities. During this open house, Jaclyn Yap will present her research project which is supported by the Centre and focuses on differing parenting practices among families of children with and without disabilities in low- and high-conflict affected areas. Updates about the Centre will also be shared during the open house.
Title in French: Cours d'apprentissage en ligne sur les statistiques du commerce international de marchandises
Organizer(s): UNSD UNCTAD WTO
Description: Les principaux objectifs sont de renforcer l’aptitude des statisticiens à appliquer les recommandations les plus récentes sur les SCIM, décidées au niveau international, à identifier les meilleures sources de données, à mettre en place des outils adaptés à la collecte des données et à améliorer les modalités d’élaboration des statistiques. De plus, le cours insiste sur la qualité, les métadonnées, la diffusion des statistiques ainsi que sur l’apport des SCIM à l’analyse économique et la formulation d’objectifs nationaux de politique économique.
Description: Main goals of the course are to enhance statisticians' ability to apply the most recent internationally agreed recommendations on IMTS, define best possible data sources, set up adequate (or enforce existing) collection systems, and enhance statistics compilation and production processes. The course focuses on the following topics: Conceptual Framework, Institutional Arrangement, Production and Compilation, Metadata and Quality, Dissemination and Analysis and New Areas of Work. Furthermore, the course emphasizes the importance of quality, metadata, timely dissemination, and links to economic analysis and national policy objectives.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UNIDO
Description: Inclusive and sustainable industrial development (ISID) is a primary source of income generationallows for rapid and sustained increases in living standards of peopleand provides technological solutions for an environmentally sound development. ISID is an integral part of the SDGsparticularly SDG 9which focuses on industryinnovation and infrastructure. Promoting inclusive and sustainable industries and continuing to invest in physical infrastructureinnovation and research are vital to long-term economic development. Furthermoreindustrialization not only contributes to economic growth and infrastructure upgradingbut can also directly and indirectly support the achievement of the SDGs’ socio-economic and environmental objectives through the creation of jobsimprovements in working conditionsinnovationand the development of new and greener production technologies. In addition to SDG 9all other SDGs incorporate some industry-related aspects and targets.
Description: The United Nations Statistics Division (UNSD) and the National Institute of Statistics, Geography and Informatics (INEGI) held a study tour on measuring time use and valuing unpaid work in Mexico City from 24 to 28 April 2023. The study tour was organized with the support of the Development Account 12 Tranche Project on Time-use data for better policies in Africa, Western Asia, and Latin America as an opportunity to exchange knowledge and improve skills on the production of time-use data using standalone timeuse surveys; and the valuation of unpaid household production of services. Participants from Mexico, Morocco, and Argentina found this occasion useful to strengthen SouthSouth cooperation and international collaboration for the harmonization of time use statics. During the study tour, national statisticians presented their experiences and challenges encountered during the process of their timeuse surveys. Participants from Mexico and Morocco also reflected on the changes that their upcoming surveys will implement to improve the quality of the data and advance toward international harmonization. On the second day of the study tour, INEGI shared its methodology for the construction of the unpaid household work satellite account. During the remaining part of the study tour participants worked using data from their time-use surveys, labour force surveys and, information from their national accounts to calculate the monetary value of unpaid household work in their countries. Statisticians participating in the study tour provided feedback to their peers on methodological decisions at each stage of the valuation process, making the experience very enriching.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: This course shall democratize the accessibility of privately held data and valorisation thereof. Get to know the techniques and tools to access privately held data. Understand the stages of data valorisation pipelines, including data storage and accessibility. Familiarize with the European Data Strategy and Digital Strategy. Experiment with web-crawling, web-scraping, web-automation and API interfacing techniques. Gain hands-on experience with diverse data mining techniques from privately held data sources.
Target Audience: Official Statisticians wishing to develop a toolbox for data acquisition with respect to privately held data at national level.
Description: UNSD and the African Energy Commission (AFREC, an organ of the African Union) organized a regional bioenergy workshop in Lomé, Togo, from 24 to 26 April 2023. The event followed up from the June 2021 “International Workshop on Improving Bioenergy Monitoring and Reporting in Africa” held virtually by UNSD, AFREC and the International Energy Agency. The 2021 workshop consolidated the Strategic Framework for the African Bioenergy Data Management (AFBIDM), whose roadmap/action plan called for this validation workshop. Over half of Africa’s energy demand is met by traditional bioenergy, and the percentage of solid fuel (charcoal and fuel wood) used in the region is the highest in the world. Production and consumption of bioenergy has direct impacts on health (indoor pollution), biodiversity, water and soil quality, as well as on a number of social and economic aspects of primary relevance for developing countries. Improving the measurement of bioenergy in Africa is an imperative to tracking SDG 7 and its inter linkages to other SDGs. Representatives from Statistical Offices and Energy Authorities of ten African countries participated in the workshop. Presentations focused on the motivation, importance and impacts of traditional bioenergy use in Africa; mitigation actions to reduce such impacts; best practices in data collection, including survey questionnaires; linkages to policy and advocacy to policymakers; as well as outreach. Participants shared national experiences on each topic. Collectively, participants seemed to be aware of national needs in order to set up a comprehensive bioenergy data collection system integrated with national policy priorities. The exchange helped them individually to fill knowledge gaps in this respect.
Description: Concept note Data integration approaches are becoming increasingly popular among official statisticians worldwide. This is due to the growing and evolving data requirements for monitoring national development plans and the Sustainable Development Goals (SDGs) in the face of budget constraints and declining response rates on traditional data collection methods, i.e., censuses and surveys. Furthermore, technological advancements have made new data sources available and enabled official statisticians to produce statistics using more complex approaches. However, implementing data integration approaches requires a wide range of technical and institutional capabilities. Depending on its situation, each country may encounter different challenges needing tailored solutions. In 2022-3, the National Statistics Office of Nepal participated in a project on strengthening the capacity to implement data integration approaches for official statistics. The project involved a practical exercise of integrating multiple data sources and included capacity development activities. This Stats Café provided a brief overview of the project, its challenges and solutions, as well as shared the findings and lessons learned that may benefit other countries looking to develop similar data integration projects. During the session, the project report was also officially launched. Launch of the report: "Strengthening the national statistical capacity to implement data integration approaches: pilot project in Nepal 2022-23" , Stats Café Home: Upcoming events Concluded events
Description: This course, presented by the Statistics Department, teaches you how to compile timely, high quality national accounts statistics based on the system of national accounts (SNA) framework. The course introduces the sequence of national accounts, the accounting rules, and the key macroeconomic indicators in the SNA framework. You will learn about gross domestic product (GDP) - the main aggregate of the system, and how to compile consistent and internationally comparable measures of GDP according to the production, income, and expenditure approaches. The course also discusses in detail, how the SNA can be used to track an economy's production, consumption, and income and how to estimate volume measures of GDP.
Description: The Health Inequality Data Repository is the largest global collection of disaggregated data about health and determinants of health – with nearly 11 million data points across more than 2000 indicators. These data can be explored directly through the Health Equity Assessment Toolkit (HEAT), an interactive software which facilitates the examination of inequalities and the evaluation of relevant interventions to address them.
Organizer(s): ECLAC UN-GGIM: Americas Caribbean Geospatial Development Initiative CARICOM Organisation of Eastern Caribbean States
Description: The objective of this workshop is training in the use of the United Nations methodology for the development of a national action plan based on the nine strategic pathways of the Integrated Geospatial Information Framework (UN-IGIF).
Source: Eurostat (Data extracted on: 31 Oct 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance the theoretical and practical knowledge of waste statistics validation approaches. The main focus will be on validation routines, looking at strengths and weaknesses in the chosen approaches and possibilities for shared responsibilities between countries and Eurostat. The course will explore possible ways of avoiding duplication of validation routines and in waste statistics and means of obtaining more effective statistics.
Target Audience: Staff members involved in the production of official waste statistics, advanced level.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat
Description: The objective of this course is to provide the participants with an overview of Statistical disclosure theory and methods related to tabular data protection and microdata protection, as well as the respective software. Participants will be asked to bring case studies that will be discussed in the training.
Target Audience: Staff dealing with statistical confidentiality.
Description: This global webinar was organized as part of the activities of workstream 2.4 “Assessing the Impact of the Economy on the Environment” of the Statistics and Data Project “Resilient and agile National Statistical Systems to meet post-COVID-19 data needs to recover better” under the 14th tranche of the United Nations Development Account. It was co-organized by the United Nations Environment Programme (UNEP) and the United Nations Office on Drugs and Crime (UNODC). Countries from the Western Asia, and Asia-Pacific regions were in attendance. This webinar followed a March webinar with the same content presented where member states from Europe and Africa attended. Upon the invitation of UNEP, UNSD presented on “Country-owned official statistics as a source for water statistics”. Due to the US Eastern 1:00am-4:00am time window of the webinar, the presentation was delivered via video on delay. When presenting on the context of water statistics collected via the UNSD/UNEP Questionnaire on Environment Statistics for over 20 years, UNSD emphasized sources used by countries, especially whereby a national statistical office maintains inter-institutional relations at varying levels (municipal, provincial, federal) of government. Methodologies and sources specified in the Framework for the Development of Environment Statistics and the National Quality Assurance Frameworks Manual for Official Statistics were cited, as were existing work the section does whereby water statistics feed into policy frameworks such as the Sustainable Development Goals and the Global Set of Climate Change Statistics and Indicators. For interested countries that are not currently involved in the data collection, they were advised to contact UNSD for information sessions on the Questionnaire. Such sessions are usually organized in collaboration with (co-)custodian organizations including UNEP, WHO and UN-Habitat and discussions include but are not limited to metadata of the indicators, concepts and definitions, use of the data and dissemination process.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units.
Description: Help us to showcase an impactful story on disability and illustrate the power of digital accessibility in data visualizations to create a more inclusive experience. We need visuals that are easy to understand but pack a punch. Something that will help us spread the word about disability and get people talking. So, get creative, don't be afraid to think outside the box, and slice and dice the data any way you like. Analyze the data from different perspectives - perhaps you will discover something that we haven’t seen! Don't miss your chance to use your creativity and contribute to the cause of accessible data visualization - start making an impact today.
Description: The World Health Organization (WHO), in collaboration with the Brisbane Accord Group, invites you to this webinar series. This series will introduce ICD-11 (International Classification of Diseases 11th Revision) and related resources available to Pacific Island countries and areas (PICs). The first webinar will be delivered by ICD experts from WHO headquarters and the Western Pacific Regional Office who will provide an overview of ICD-11, its implementation steps and discuss the implications of transitioning to ICD-11 based on PICs’ current ICD implementation. Dr Erwyn Ooi Chin Wei from the Ministry of Health, Malaysia will also share the experience and lessons learnt from implementing ICD-11 in Malaysia.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course: to provide practical training in writing about statistics in clear and understandable language, with the aim to improve the attractiveness and efficiency of presenting statistics, while bearing in mind the principles of the Code of Practice.
Target Audience: Staff involved in/responsible for drafting/writing press releases, statistical texts and articles for NSI’s publications, for the web, for social media or other types of communication channels.
Description: The Asia-Pacific Stats Café Series on "Resilient and agile National Statistical Systems: A new global statistics development initiative" was held virtually on Monday, 17 April 2023, 12:00-13:00 hr (Bangkok time, UTC +7). Presentation , Stats Café Home: Upcoming events Concluded events
Description: The aim of this course is to develop institutional capacities for the operationalization of Labour Market Information Systems (LMIS). The focus is on building links with data sources that feed the system, produce and store selected indicators in a centralized repository, and make them available for generating reports on labour-market performance. Such systems are also powerful tools for labour market matching and evidence-based policymaking.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Background In 2022, ESCAP developed a pilot project specifically targeted at supporting NSOs in Asia and the Pacific to address this complexity. The project aims to work with NSOs in the region to pilot the use of big data for producing a sample of the 46 environment-gender indicators. Cambodia and Mongolia submitted their expressions of interest in participating in the pilot to produce one indicator per country. For Cambodia, the indicator is the proportion of population with access to electricity by sex, while Mongolia focuses on measuring the proportion of population in Ulaanbaatar living in Gers by sex. More specifically, the project team utilized Google Earth Engine to derive nighttime light data for all communes in Cambodia and combined the results with average household size and female ratio to estimate the indicator. In the case of Mongolia, the team designed an object-based image analysis model on QGIS using the Orfeo Toolbox and a random forest classifier to detect Gers. In both cases, the team conducted sensitivity analyses and compared the results against indicators produced from censuses and/or surveys. The two pilots produced promising results and lessons learned. The project team recently conducted an Expert Group Meeting to present findings, lessons learned and challenges from implementing the pilots to experts in the field and seek their feedback on how the models can be improved. Insights from the meeting has been integrated into the guidance documents which record processes throughout the entire pilot and recommend next steps for the two NSOs to improve their usage of big data in official statistics production. This Stats Cafe session , Stats Café Home: Upcoming events Concluded events in 2022 2021 events 2020 events
Description: During this Global Network Webinar the World Data Forum Secretariat represented by Francesca Perucci, Ian Rutherford, Daniella Sussman, Florina Lepadatu, Paul Pacheco, and Jaspreet Doung, and the host country China, represented by Di Wei, Deputy Director-General of the Statistical Education and Training Center of the National Bureau of Statistics of China and member of the World Data Forum Programme Committee and by Ding Lei Program Director for Video Conference Events Assurance at Huawei Technologies, shared information on the 4th UN World Data Forum including its programme and the modalities for virtual participation. The United Nations World Data Forum 2023 (UNWDF 2023: https://unstats.un.org/unsd/undatafor... ) will take place from 24 to 27 April 2023 in Hangzhou, China. The Forum’s purpose is to create a space for those interested in data and statistics to exchange ideas, showcase innovations, identify solutions, discuss future strategies, and provide mutual learning opportunities on a wide variety of topics organized across the Programme (https://unstats.un.org/unsd/undatafor.... Participants will have the opportunity to view and interact in about 80 sessions online and more than 100 at the Hangzhou International Expo Center, including four high-level plenaries, parallel sessions, learning labs, demonstrations, and other types of exhibits. The Forum welcomes participants interested in data from a diverse range of backgrounds: governments, civil society, the private sector, donor and philanthropic bodies, international and regional agencies, the geospatial community, the media, academia, and professional bodies. The following key topics were covered during the webinar: • What to expect from the UNWDF2023. • Highlights from the programme, including high-level events. • Outreach and communications for the Forum. • Virtual participation in Forum events. • Integration with the Global Network to continue the conversation and share the Forum experience.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). It’s an overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above.
Description: This third edition of the ISI Regional Webinar Series will be held as part of the IAOS-ISI Conference in Zambia in April 2023. The theme of the conference is “Better Lives 2030: mobilising the power of data for Africa and the world”. Panellists will be drawn from conference participants, representing a diversity of countries (Zambia, Uganda, Cote d’Ivoire, Ghana and Rwanda), professional affiliations (government agencies, NGOs and universities), seniority (early career statisticians to professors), gender (male and female) and areas of expertise (official statistics, statistical capacity building, legal support, research and education, and social science and public health).
Description: ESCWA and the Economic Commission for Latin America and the Caribbean (ECLAC) are organizing a joint regional webinar to promote resilient and agile statistics that support countries in implementing decisions based on statistical evidence for an inclusive and sustainable post-COVID-19 recovery. The webinar aims at: Improving price statistics through the increased comparability of price indices Developing new outputs and indicators to assess economic performance and comparability of macroeconomic indicators Introducing innovative price data collection tools that complement traditional tools Increasing efficiency and facilitating collection at times of crisis. The webinar features a wide participation from different member countries of ESCWA, ECLAC and the Economic Commission for Europe (ECE), in addition to the United Nations Statistics Division (UNSD).
Description: The "Civil Registration Vital Statistics (CRVS) Inception Workshop for Assessing Inequalities in Registration in Samoa" was organized on 4 April 2023 in Tanoa Tusitala Hotel, Apia, Samoa. Agenda The inception workshop was a participatory workshop that introduced the project, further developed relationships among relevant stakeholders (data providers, data users, and policymakers), discussed challenges with conducting such an inequality assessment, and collaboratively developed a plan for the way forward. , Project: Implementing Inequality Assessments Resources Regional Events Project countries: Bangladesh Bhutan Fiji/ Indonesia Lao PDR Pakistan Philippines Samoa
Description: Traditional surveys are not well-equipped to measure certain concepts of interest such as expenditures, time use or travel behavior due to high burden placed on participants. Facts or behaviors that are difficult to measure through self-report can be measured using new technologies: smartphone apps, sensors, and wearables. For example, accelerometers in smartphones and fitness bracelets can objectively measure physical activity, screen time apps can measure (social) media use. Another possibility is to augment surveys with administrative data or data from digital platforms such as Google, Youtube, Instagram that participants can provide to researchers through data donation, or consent to data linkage. However, to ensure representation, participants have to be willing and able to use their devices to perform such tasks. If participants differ from nonparticipants in key outcomes, research results can be biased. In this webinar, I will present the results of several randomized experiments on the mechanisms of willingness and consent to collect data using smartphone sensors, apps, and wearables in general population surveys, and the extent of nonparticipation bias assessed by linkage of survey data to sensor and administrative data. I will further focus on how these mechanisms translate to data donation of digital trace data, what opportunities and challenges such novel data collection methods hold for the social sciences and official statistics, and outline future research agenda.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * The course aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material; * Describes the purpose, use and construction of HICP; * Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data.
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): European Court of Auditors
Description: This event will explore the future of official statistics in achieving independence and accountability in the age of big data. High-quality official statistics are a critical part of evidence-based decision making by governments, businesses, researchers and citizens. They can also promote transparency and accountability. Following the publication of our special report on the quality of European statistics in November 2022, the European Court of Auditors (ECA) will hold an online conference on Tuesday 28 March 2023 to discuss the future of official statistics from the perspective of independence and accountability. We will also discuss how the statistical landscape will be reshaped by using new data sources such as big data that could lead to a paradigm shift in data collection and analysis. The conference will feature two panel discussions. Following the keynote address by Professor Enrico Giovannini, former chair of the European Statistical Governance Advisory Board (ESGAB), the first panel will focus on the future of governance, independence and accountability in official statistics. The second panel will move towards the future of statistical product development following the keynote address by Dr Sallie Ann Keller from the US Census Bureau. ECA reporting Member for the special report on European statistics, Ildikó Gáll-Pelcz, will deliver the opening address, which will be followed by a short presentation by Athanasios Koustoulidis, the head of task for the audit. In addition to the two keynote speakers, six senior executives from international organisations (Eurostat and the IMF) and national statistical offices (Sweden and Poland) will participate in the two panels.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDGs and decent work indicators.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UNSD
Description: Identifying and responding to the needs of users for data and statistics is at the heart of the mission of National Statistical Offices (NSOs) and national statistical systems. NSOs already undertake many activities interacting with different users such as preparing press releases to aid journalists and communicate with the public at large and organizing launch events/workshops to disseminate important results from surveys and censuses.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The aim of the course is to: * give an overview of the functioning of ESS, including ESS procedures and concepts; * create understanding of the requirements originating from the EU cooperation; * introduce in the relations of the European statistical world with EU institutions, the legal basis of the ESS, the decision-making process, the cooperation among the different stakeholders, etc.; * prepare participants and enable them to tackle the day-to-day challenges of the ESS system for the purpose of strengthening efforts and thereby increasing their involvement; * train the participants in negotiating with colleagues from other European countries, including negotiation and presentation skills, effective oral communication and active participation in an ESS meeting.
Target Audience: Staff members wishing to understand the framework and functioning of the European Statistical System (ESS) as well as staff who participate or will be participating in the meetings of committees, working groups and task forces.
Description: Organised by the ISI Committee Women in Statistics (CW-ISI). Former ISI Director Ada van Krimpen is going to be the distinguished Invited Speaker of the webinar. She will discuss the proportion of women among ISI members and their role in governance. We then discuss which factors play a role in boosting the careers of female statisticians.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat GOPA
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Description: This global webinar was organised as part of the activities of workstream 2.4 “Assessing the Impact of the Economy on the Environment” of the Statistics and Data Project “Resilient and agile National Statistical Systems to meet post-COVID-19 data needs to recover better” under the 14th tranche of the United Nations Development Account. It was co-organized by the United Nations Environment Programme (UNEP) and the United Nations Office on Drugs and Crime (UNODC). Countries from the African, and Latin America and the Caribbean regions were in attendance. UNSD presented on “Country-owned official statistics as a source for water statistics”. UNSD emphasised sources used by countries, in particular that national statistical offices maintain inter-institutional relations at varying levels (municipal, provincial, federal) of government. Methodologies and sources specified in the Framework for the Development of Environment Statistics and the National Quality Assurance Frameworks Manual for Official Statistics were referenced, as was UNSD’s work on water statistics which feeds into policy frameworks such as the Sustainable Development Goals and the Global Set of Climate Change Statistics and Indicators. Interested countries that are not currently involved in the data collection, can reach out to UNSD for information sessions on the Questionnaire. Such sessions are usually organised in collaboration with (co-)custodian organisations including UNEP, WHO and UN-Habitat and discussions include but are not limited to metadata of the indicators, concepts and definitions, use of the data and dissemination process.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The objectives of the course are: * Validation and reporting results of machine learning methods. * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks. * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments * Understanding of symbolic computation for backpropagation and gradient descent * Model selection, Hyper-parameter tuning and practical considerations * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients. * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat GOPA
Description: The course aims at enhancing participants' theoretical and practical knowledge of statistical business registers and their use in statistical production. They will become familiar with the European statistical business registers and its implementation at national level, both from a theoretical and a practical point of view. The course aims also to provide an overview of the importance of statistical business registers, as authoritative source for deriving high quality and harmonised statistical business register populations, for the production of European statistics and its use in the statistical production.
Target Audience: National Statistical Business Register (NSBR) staff. Statisticians working on production of business statistics making use of SBR (SBS, Business Demography, Entrepreneurship, STS, Trade by enterprise characteristics, etc.). Statisticians working on production of statistics related to globalisation (FATS, FDI, GNI, etc.) in NSIs and/or Central Banks.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Regulation (EC) No 1099/2008 on energy statistics and Regulation (EU) 2016/1952/EC) and its implementation. In addition, the course will introduce Commission Regulation (EU) No 844/2010 of 20 September 2010 amending Regulation (EC) No 1099/2008 of the European Parliament and of the Council on energy statistics, as regards the establishment of a set of annual nuclear statistics. The focus will be on concepts, definitions, methodology and data validation on annual questionnaires (including discussions on issues observed in practise).
Target Audience: Statisticians dealing with compilation and validation of annual energy statistics and wishing to understand better the system and overall framework of energy statistics.
Description: During this Global Network Webinar Abdulla Gozalov, Alexander Loschky (UNSD), Jonathan Challener (OECD), and Siddhesh Kaushik (World Bank) presented the new SDMX User Forum, https://sdmx.org/?sdmx_news=ask-find-... (hosted on the Global Network) and on SDMX Capacity Development Initiatives. The speakers introduced the new SDMX User Forum which is hosted on the Global Network of Data Officers and Statisticians, a platform for knowledge sharing, problem solving, and collaboration. On the Forum users of SDMX are invited to ask or answer questions, find solutions, and connect with experts and peers. It is designed as a space to generate ideas, receive feedback as well as to access information on case studies and implementation scenarios. The Forum is open to all users, irrespective of their level of experience and SDMX knowledge, starting at beginner level up to experienced SDMX users, such as data modelers and system developers. In addition, the speakers will presented ongoing SDMX capacity development initiatives (including the SDMX Foundation Course on ADB eLearn, the .Stat Academy, and others) and engaged with the audience to identify their capacity development needs to better serve the SDMX Users in the future. Finally, some first information about the next SDMX Conference was given which will take place during the second half of 2023.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the IMF Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; data dissemination and requirements of the World Bank's Quarterly External Debt Statistics (QEDS) database
Description: This course, presented by the IMF’s Statistics Department and delivered in collaboration with the Bank for International Settlements (BIS) and the European Central Bank (ECB), familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the BIS, and the ECB, published in May 2015. The course covers definition and features of securities, securitization, and related operation; valuation and recording of securities; classification schemes and presentation tables for securities; and security-by-security databases. A practical exercise on valuation and recording of different types of debt securities complements the lectures.
Description: This course, conducted by the IMF Statistics Department, presents a user-friendly tool developed by the department to automatically combine monetary, government, and balance of payment data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis—an extremely useful tool for macro-financial analysis. Once the matrix is generated, country officials should be able to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement. This course is an abbreviated version of the longer, BSA course traditionally offered by STA in-person.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: This course shall democratize the understanding and use of blockchain technology, showcasing how decentralized, asynchronous data economies leveraging micro-data, official statistics, verifiable credentials and the European blockchain, change the way we live and work – blockchains have so much more to offer than just cryptocurrencies. Understand the cryptographic principles behind blockchains. Understand the components of blockchains. Get to know impactful use cases of diverse blockchains. Get to know the ecosystems of available blockchains and tools. Develop an application and its smart contracts on the blockchain for Official Statistics.
Target Audience: Official statisticians/data scientists working on methodology.
Title in Spanish: Serie de seminarios web de la FAO: Datos de observación de la Tierra para estadísticas agrícolas SESIÓN 2: Mapeo de rendimiento de cultivos y estadísticas de rendimiento
Organizer(s): FAO
Description: El lunes 20 de marzo, nuestro invitado especial, el Dr. Bruno Basso, profesor del Departamento de Ciencias Ambientales y de la Tierra de la Michigan State University, hablará sobre el mapeo del rendimiento de cultivos y las estadísticas de rendimiento. El evento se realizará en inglés con interpretación simultánea a español y podrá seguirse exclusivamente de forma virtual. Enlace de registro: https://fao.zoom.us/webinar/register/WN_3i2xcYuYS8qGEyKojo2-WA El propósito de esta serie de seminarios web es dar a conocer el proyecto EOSTAT y destacar el trabajo de la FAO en la creación de capacidad de los países en el uso de datos de observación de la Tierra para la producción de estadísticas agrícolas, contribuyendo así a la modernización de los sistemas y protocolos para las estadísticas nacionales. También discutirá las principales innovaciones introducidas en el campo de las estadísticas de cultivos basadas en observaciones de la tierra implementadas por la FAO a través de I+D y pruebas en países en colaboración con la academia. Éstas incluyen: 1) Estandarización de los métodos de observaciones de la tierra para producir mapas anuales de cobertura/uso de la tierra 2) Mapeo de tipos de cultivo en el contexto de escasez de datos in situ 3) Acoplamiento de datos de observaciones de la tierra con modelos físicos de rendimiento de cultivos Además, la serie arrojará luz sobre cómo las innovaciones aportadas por EOSTAT ofrecen una solución para superar los desafíos relacionados con la recopilación y pronóstico de estadísticas de cultivos (superficie en acres y rendimiento) utilizando métodos tradicionales basados en encuestas de campo y métodos basados en observaciones de la tierra. Finalmente, la serie de seminarios web proporcionará una plataforma para mejorar la colaboración y potencialmente movilizar recursos. El lunes 20 de marzo, nuestro invitado especial, el Dr. Bruno Basso, profesor del Departamento de Ciencias Ambientales y de la Tierra de la Michigan State University, hablará sobre el mapeo del rendimiento de cultivos y las estadísticas de rendimiento. El evento se realizará en inglés con interpretación simultánea a español y podrá seguirse exclusivamente de forma virtual. Para obtener más información sobre los seminarios web pasados y próximos planificados, visite la página dedicada aquí. Acerca de nuestro invitado: Bruno Basso es Profesor Distinguido John A. Hannah y Profesor de la Fundación MSU de Ciencias Ambientales y de la Tierra en la Michigan State University. Es científico de agroecosistemas y modelador de sistemas de cultivos con interés en la sostenibilidad a largo plazo de los sistemas agrícolas, agricultura digital, bioeconomía circular. Su investigación se centra en evaluar y modelar la variabilidad espacial y temporal del rendimiento de los cultivos, el carbono orgánico del suelo, las emisiones de GEI, el agua y los flujos de nutrientes en los paisajes agrícolas en los climas actuales y futuros. Posee patentes globales sobre IA, sensores remotos y sistemas de modelos de cultivos para evaluar la productividad de las tierras de cultivo y la sostenibilidad ambiental. Para obtener más información, visite la página del proyecto FAO-EOSTAT y el sitio web de estadísticas de la FAO.
Description: The United Nations World Data Forum aims to spur data innovation, nurture partnerships, mobilize high-level political and financial support for data, and build a pathway to better data for sustainable development. The 2023 Forum (WDF2023) will be taking place in the ESCAP region for the first time, from 24 to 27 April 2023 in Hangzhou, China. WDF2023 is taking place as a hybrid event, meaning that although in-person registration closes on 8 March 2023, it is still possible to actively participate in the forum remotely. The Forum welcomes participants interested in data from a diverse range of backgrounds: governments, civil society, the private sector, donor and philanthropic bodies, international and regional agencies, the geospatial community, the media, academia, and professional bodies. The Forum will create a space for exchanging ideas, identifying solutions and providing mutual learning opportunities across a wide variety of topics, set out in the Programme. Online participants will have the opportunity to view and interact in around 80 different sessions across the three main days of the Forum. This Stats Café shared with you further information on this year’s Forum from a range of speakers representing the host country, the Programme Committee, the Forum secretariat and allow you to ask them questions. The following topics were covered: Highlights from the programme, including high-level events Experiences from previous UNWDFs Logistics for virtual participation in the Forum
Description: Tourism is often a driver of development, triggering desired investments and employment opportunities in destinations. To contribute to the desired development objectives of destinations while fostering sustainability, it is important to regularly monitor and evaluate the economic benefits, among them the return on its investment, the direct and indirect employment effects, on taxes earned from tourism businesses, and any increase in asset value (land and infrastructure prices). In addition, tourism causes indirect economic benefits through the development of support services and increased opportunities in other industries ranging from food and agriculture to crafts and construction. Indicators of the economic effects of tourism activity in a destination range from measuring employment, business investments, tourism revenues, community expenditures to aspects of leakages. The measurement of many of these aspects is supported by the methodology of the Tourism Satellite Account, the statistical framework that is used as a standardised tool to measure the direct economic contributions of tourism consumption to a national economy.. This INSTO Insights webinar will discuss the experiences and insights of INSTO Members and experts on monitoring water management, which is one of the 11 mandatory key issue areas INSTO Members are committed to monitor. Experiences will be shared on used indicators and various methodologies in this regard. The implications of these monitoring efforts in terms of informing policies and strategies will also be discussed.
Organizer(s): UNWTO Ministry of Culture, Tourism and Civil Aviation and Nepal Tourism Board
Description: The Workshop aims to improve the statistical capacity in the field of tourism statistics for the participating countries in the region to be able to carry out the following: - promote the development of the System of Tourism Statistics as a necessary condition in order to make progress in the measurement and analysis of tourism; - begin the tasks contemplated in the different stages recommended by UNWTO for the development of a TSA; - make the necessary steps towards the piloting of Measuring the Sustainability of Tourism.
Target Audience: The High-level Discussion “Measuring Tourism for People, Planet and Prosperity” is geared towards high-level officials in National Tourism Administrations and National Statistical Offices. The technical trainings sessions target statistics professionals and managerial staff with responsibilities in the field of tourism statistics and/or Tourism Satellite Account, who work in different types of institutions, such as: - National Tourism Administrations; - National Tourism Organization; - National Statistical Offices; - Balance of Payments departments of Central Banks; - Entities in charge of border statistics (arrivals and departures of international travellers) such as Migration/Interior Departments; - Business Associations of Tourism Activities.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Participants will be able to (re)design statistical categories for the collection of equality data and actively participate in the review of indicators adequate for the relevant EU policy processes. They will also be able to disseminate equality data to diverse audiences.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing a sound knowledge on the elaboration and use of statistics on : trade in goods, services, travel, financial flows, trade in value added, use of bop and IIP statistics
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘SDG 7 (Affordable and Clean Energy) Indicators’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 14-15 March 2023 through an online video conferencing platform. Mrs. Roslawati Yahya, Director of Manpower and Social Statistics Division, Mrs. Fuziah Md Amin, Director of Agriculture and Environment Statistics Division, and Mrs. Fariza Kambut, Deputy Director of Agriculture and Environment Statistics Division at the Department of Statistics Malaysia (DOSM), will conduct the course and cover the following topics: SDG Statistical Framework in Malaysia and Moving Forward to SDG 2030 Overview of SDG 7 Indicators (Concepts, Definitions, Methodology, and Data Sources) Availability of Malaysia’s SDG 7 Indicators The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: This course on applied econometrics, has been prepared as an integration of mathematical economics and statistical methods with an objective of extracting the stochastic relationship among variables and their modelling.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within the framework of the Programme of Action for 2021-2025 set under the OIC-StatCom Strategic Vision for 2030 and its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘Reporting Data on Islamic Financial Services Sector’ on 14 March 2023, in collaboration with Islamic Financial Services Board (IFSB), United Nations Statistics Division (UNSD), and UN Economic and Social Commission for Western Asia (UNESCWA) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC member countries. The main objective of this webinar is to provide a platform to exchange knowledge on how to utilize the Prudential and Structural Islamic Financial Indicators (PSIFIs) methodology as well as how to implement the recommendations of the joint task team on Islamic finance (IFTT) Guidance Note on the Statistical Treatment of Islamic Finance in the National Accounts and External Sector Statistics in national statistical systems of OIC member countries. The Webinar will cover: Prudential and Structural Islamic Financial Indicators (PSIFIs) Introduction Methodology Reporting practices Statistical treatment of Islamic finance in the national accounts and the external sector statistics in the update of the 2008 SNA and BPM6 Guidance note (GN) on Islamic Finance and the recommendations Pilot Countries Experimentation Document: Concept Note and Work Programme: (English)
Description: About This Session Everyone, everywhere must have a say in data design, collection and use. When people have their needs, priorities, and experiences captured in data, this creates equal power dynamics, establishes people’s agency and improves participation and inclusion in data processes. On March 14, 2023, join the Data Values movement for a thought-provoking and engaging virtual discussion that will delve into the pressing issues of data and its impact on power dynamics and agency. Using a Data Values lens, this session will explore the concept of agency–the ability of individuals and communities to shape the design, production, governance, and use of data–and how it can influence and support data systems. At the same time, this session will examine how lack of agency in data can perpetuate existing inequalities and further marginalize certain groups, including youth, women, and persons with disabilities. This insightful discussion will engage Data Values advocates, statisticians and national statistical offices within Asia and the Pacific to unpack critical questions such as: How can we create open, trustworthy, and inclusive data systems that support people's agency? How can we ensure that marginalized groups in Asia and the Pacific are heard and have a say in data collection, use, and management? What roles do National Statistical Offices (NSOs) play in rebalancing power dynamics within data? Agenda Welcome Remarks - Rachael Beaven, Director, Statistics Division, ESCAP Event Moderator and Presenter - Karen Bett, Global Partnership Co-Presenter - Mayuri Dhumal, Data Values Advocate, India Co-Presenter - Joon Baek, Data Values Advocate, South Korea & New York Panelist (Youth Leader) - Bipana Dhakal, Data Values Youth Leader and Activist, Nepal Panelist (NSO) - Keshab Kumar Gautam, Director, Population Section Central Bureau of Statistics Nepal , Stats Café Home: Upcoming events Concluded events in 2022 2021 events 2020 events
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UNSD EGRISS
Description: The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent yearswith UNHCR estimating over 100 million forcibly displaced persons in 2022. With displacement’s growing prominencethere is increasing interest at nationalregional and international levels in statistics on refugees and IDPs including completeaccuratetimely and internationally comparable estimates of the numbers of people displacedtheir well-being and vulnerabilities. Good-quality statistics are a requirement for developingimplementing and monitoring nationalregional and international policies and agreements concerning refugees and IDPs.
Organizer(s): ILO ITC ILO OECD European Training Foundation European Centre for the Development of Vocational Training
Description: Skills mismatching is a common concern of policymakers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policymaking statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policymaking. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: This course will enable you to pick your next top data-science programming language Know the characteristics of R, Python, Julia Understand the advantages of each language for different use-cases Ability read and modify a small program in each language.
Target Audience: Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.
Description: تعد الحسابات القومية الربع السنوية أداة مهمة لقياس وفهم الأداء الاقتصادي على المدى القصير، حيث تمكن من تحليل دورة الأعمال، وتحديد نقاط التحول، ودراسة العلاقات الديناميكية بين المتغيرات الاقتصادية، وللتنبؤ. وتساعد أيضًا الحكومات ومتخذي القرار على تحديد الأولويات الاقتصادية وتوجيه الاستثمارات وتحديد السياسات الاقتصادية الملائمة لتحسين الأداء الاقتصادي للبلد. تتنزل هذه الورشة في إطار دعم القدرات الإحصائية للمحاسبين القوميين في مجال الحسابات القومية ربع السنوية من حيث مصادر البيانات وطرق معالجة البيانات وتحليلها ونشرها وفق المنهجيات الدولية والتطورات المسجلة على مستوى جمع البيانات وتوفرها، ومنها بالأساس النسخة المحدثة من دليل الحسابات القومية ربع السنوية (طبعة 2017) الصادر عن صندوق النقد الدولي. كما تزداد الحاجة الى الاحصائيات والمؤشرات على المدى القصير في ضوء الازمات الاقتصادية المتواترة والصراعات في مختلف المناطق وخاصة على مستوى المنطقة العربية.
Title in Arabic: التحليل الاحصائي باستخدام برمجية SPSS
Organizer(s): AITRS
Description: يعد تحليل البيانات أحد أكثر المجالات ازدهاراً في الوقت الحالي وتكمن اهمية عملية التحليل في قدرتها على تحويل البيانات الاولية الى نتائج سهلة الفهم، حيث يقوم المحلل الاحصائي باتباع العديد من الأساليب والطرق اللازمة لعرض البيانات وتحليلها بالصورة المطلوبة باستخدام الأدوات والأساليب الاحصائية الممكنة للحصول على نتائج دقيقية ومفهومة. ونظراً لأهمية البرامج الخاصة بالتحليل الاحصائي في الدراسات والمسوح التي تعتمد على الجانب الاحصائي لايجاد مخرجاتها، يمكن القول بان برنامج التحليل الاحصائي (SPSS) هو أحد أهم وأكثر البرامج الاحصائية شيوعاً واستخداماً لتحليل البيانات الكمية، بالاضافة الى انه يمكن من خلال هذا البرنامج ترميز وتجهيز البيانات من أجل الوصول الى نتائج علمية صحيحة للاجابة عن تساؤلات وفرضيات الدراسة واختصار الوقت وتوفير الجهد على الباحثين. تندرج هذه الورشة في إطار مواصلة المعهد تعزيز قدرات العاملين في الأجهزة الاحصائية بموضوع التحليل الاحصائي باستخدام البرامج الإحصائية المتعارف عليها ومن بينها برنامج SPSS بصورة جيدة والقيام بإجراء عمليات التحليل الإحصائي على البيانات وفهم معناها ووصفها بطريقة إحصائية سليمة.
Title in Spanish: Demostración del uso datos de observación de la tierra en el desarrollo de estadísticas agrícolas “El caso de Ecuador"
Organizer(s): FAO
Description: Esta demostración tiene como objetivo proveer a los funcionarios gubernamentales responsables de la producción y análisis de información de estadísticas agrícolas, un espacio abierto para la solución de dudas sobre el uso de datos de observación de la tierra en la modernización y producción de estadísticas agrícolas. La FAO con el ánimo de desarrollar capacidad en los países en el uso de datos de observación de la tierra para la producción de estadísticas agrícolas ha venido promoviendo diferentes actividades en las cuales los países son actores fundamentales, este es el caso de Ecuador, quién ha trabajado fuertemente en mejorar y modernizar su sistema estadístico agrícola. En línea con este trabajo, la FAO busca apoyar ahora a más países de la región en el desarrollo y mejoramiento de estas capacidades en países como Chile, Colombia y Perú, y para ello, realizará una demostración de los resultados obtenidos en Ecuador. Expositor: Lorenzo De Simone, PhD.Technical Adviser Geospatial, Office of the Chief Statistician, FAO. Asesor de la FAO sobre el uso de Observaciones de la Tierra para el monitoreo de la Agricultura y los Recursos Naturales. También es experto en ciencia de datos, sistemas de información geográfica y teledetección (PhD), cuenta con conocimiento de geoestadística y ciencia ambiental, desarrollo de TI y gestión de calidad. Grabación (Código de acceso: x.Bh!Sf3)
Source: Eurostat (Data extracted on: 10 Jan 2023 )
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Organizer(s): Eurostat
Description: The use of innovative data sources in official statistics is a fact and has been well formulated in the foundations of Trusted Smart Statistics. One of the examples is to get information based on the content of the websites. Extracting data from enterprise websites to get characteristics is a part of the project currently done by the Web Intelligence Network. This Network consists of European countries with support from Eurostat. Everybody can join the Network by becoming a member of the WISER, which is a group. The course will cover a general overview of Web Intelligence Network and Web Intelligence Hub. Moreover, this course will demonstrate how the Web Intelligence Platform and Datalab can be used to acquire and process data from the web. All methodological issues of conducting surveys based on web data will be explained in dedicated sessions on data collection and data processing. From a practical point of view, the course will lead participants step by step on how to start the data acquisition with the Web Intelligence Platform and how to process them with the data lab. After completing this training course, participants should have basic knowledge of how to use Web Intelligence tools to conduct surveys on enterprise characteristics with respect to the methodological principles of the web-based survey. The detailed content of the course: * Introduction to Web Intelligence Hub and Web Intelligence Network; * Introduction to Online-Based Enterprise Characteristics; * The use of the Web Intelligence Platform; * Methodological aspects of web data collection for surveys on enterprise characteristics; * Web data processing step by step to get selected attributes of enterprises; * Discussion on challenges and country-related issues.
Description: During this Joint Global Network and FAO Webinar on Earth Observation Data for Agricultural Statistics Lorenzo De Simone and Pietro Gennari provided us with an overview of the EOSTAT project. This webinar was the first in a Webinar Series on Earth Observation (EO) Data for Agricultural Statistics organized by the Food and Agriculture Organization (FAO) from March to May which will raise awareness of the EOSTAT project and will highlight FAO's work in building countries' capacity on the use of earth observation data for the production of agricultural statistics. The speakers gave some high-level insights of the main innovations introduced in the field of EO-based crop statistics implemented by FAO through R&D and testing in countries in collaboration with the academia, including the 1) Standardization of EO methods to produce annual land cover/use maps; 2) Crop type mapping in the context of in-situ data scarcity; and 3) Coupling of EO data with physical based crop yield modelling. Pietro and Lorenzo gave an overview of how the innovations brought by the EOSTAT offer a solution to overcome the challenges connected with the collection and predication of crop statistics (acreage and yield) using both traditional field survey-based methods and the EO-based methods. They also spoke about how the FAO webinar series will provide a platform to enhance collaboration and potentially mobilize resources.
Title in Arabic: تصميم استبيانات مسوح الهجرة الدولية
Organizer(s): AITRS
Description: إن المعلومات المتوفرة عن احصائيات الهجرة تعتبر شحيحة وقليلة مقارنة بأهمية الموضوع وضرورة دراسته وتحليله بعمق وتمحص لما له من تأثيرات كبيرة على المجالات الاقتصادية والاجتماعية وعلى التخطيط السليم للتنمية. وقد بين تقرير الأمانة العامة للأمم المتحدة E/CN.3/2021/11 حول احصائيات الهجرة خلال الدورة 52 للجنة الإحصائية للأمم المتحدة المنعقدة بنيويورك عام 2021 الحاجة الاكيدة الى احصائيات الهجرة لتقدير عدد السكان وفهم التغير الديمغرافي، بالإضافة الى ضرورة ضبط إطار مفاهيمي واضح ودقيق للاشتغال على مواضيع الهجرة لضمان مقارنتها واستغلالها في الدراسات السكانية والديمغرافية. واعتبارا للظروف الاقتصادية والسياسية والأمنية الصعبة التي تمر بها المنطقة العربية منذ سنوات، تطور عدد المهاجرين والمتنقلين والمهجرين بشكل لافت بين مختلف الدول والقارات مما تسبب في بروز العديد من الإشكاليات والتحديات المرتبطة بهذه الظاهرة. وقد برزت الحاجة الى ضرورة معرفة حجم الهجرة وخصائص المهاجرين بمختلف عناصرها وتجلياتها لرسم سياسات ملائمة لتأطيرها وتجاوز الإشكاليات القانونية والاجتماعية الممكن حصولها. ومن هذا المنطلق، تأتي هذه الورشة التدريبية لدعم قدرات الأجهزة الإحصائية العربية في مجال إعداد المسوح والدراسات الميدانية الخاصة بالهجرة وكيفية دعم الأجهزة الإحصائية العربية فيما يخص تصميم استبيانات الهجرة.
Description: FAO, in collaboration with the Data Strategy, hosted a webinar on Tuesday, 7 March 2023 on the use of Earth Observation data for the production of official agricultural statistics and SDG...
Description: This course, presented by the Statistics Department, prepares participants to compile QNA and/or HFIEA by providing them with a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets. The course covers both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. Participants will learn how to identify and assess available data sources for compiling QNA and HFIEAs; use related real-time series databases to assess the quality of QNA and HFIEAs; and implement a suitable revisions policy.
Description: This course, presented by the IMF Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: Recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; Implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; Data dissemination and requirements of the World Bank 39;s Quarterly External Debt Statistics (QEDS) database.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: The New Techniques and Technologies for Statistics (NTTS) is an international biennial scientific conference series, organised by Eurostat, on new techniques and methods for official statistics and the impact of new technologies on statistical collection, production and dissemination systems. The NTTS 2023, the 12th edition, will be a hybrid conference and will take place in March 2023. The purpose of the conference is both to allow the presentation of results from currently ongoing research and innovation projects in official statistics, and to stimulate and facilitate the preparation of new innovative projects (by encouraging the exchange of views and co-operation between researchers - including the possible building of research consortia) with the aim of enhancing the quality and usefulness of official statistics.
Target Audience: The conference brings together academics, statisticians and users of data to discuss, network and exchange ideas.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat
Description: To enable participants to understand the scope, architecture, and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata, so that they can: * Assess how to take advantage of SDMX in their day-to-day work; * Understand what a DSD and MSD are and how they reflect requirements for data and metadata exchange; * Work together (statisticians and IT specialists) in the organization in planning for SDMX in their domain; * Understand the relationship between SDMX and the process of the production of statistics; * Understand the different roles of the organizations in the collection and production of statistics and the relationship with SDMX; * Understand (in broad terms) the different tools that Eurostat can provide, and the architecture that can be developed. * Understand that SDMX enables automated validation services.
Target Audience: Statisticians and IT professionals working in a statistical domain without SDMX knowledge.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Are you interested in human resources in science, technology and research? Would you like to know more about women’s participation in these sectors? Would you like to see how European countries compare in terms of gender balance? Let us have a look at Eurostat’s figures on science and technology in order to explore questions like: How do women fare compared to men in terms of educational background? What is their share in employment in science and technology? How are women represented among scientists and engineers in various economic sectors? How many women researchers do we have in the EU as compared to men?
Description: On March 2nd, 2023, the United Nations Children's Fund (UNICEF) held a well-attended side event at UNICEF House to officially launch the 7th round of MICS. MICS has been an integral part of UNICEF's efforts to promote children's well-being worldwide for nearly three decades. The launch event featured several distinguished speakers who shared their experiences with MICS and discussed the program's contributions to global development efforts. Vidhya Ganesh, UNICEF's Director of the Division of Data, Analysis, Planning and Monitoring, opened the event with introductory remarks, followed by a Q&A session facilitated by Mark Hereward, UNICEF's Chief Data Officer. Invited speakers included Shahnaz Arefin, Secretary of Statistics and Informatics Division (SID) of the Planning Ministry in Bangladesh, Dr. Abdalla Allag, Chairman of the Bureau of Statistics for Libya, and Chief Statisticians from four UN agencies: Haishan Fu (World Bank), Rachel Snow (UNFPA), Stephen Mac Feely (WHO), and Tarek Abou Chabake (UNHCR). The event also marked the introduction of UNICEF's newly appointed Chief Statistician, Joao Pedro Azevedo. Attila Hancioglu (Global MICS Coordinator) presented an overview of MICS7, which features expanding content and several new initiatives, including MICS Plus, MICS Link, MICS Tabulator, MICS PRTI, and MICS GIS. MICS7 will run until the end of 2026 and constitutes the largest coverage of Sustainable Development Goal (SDG) indicators of any global household survey program. With close to 200 indicators, MICS7 is equipped to provide crucial data on children, adolescents, and their families, crucial for informing policy, planning, and programming for children worldwide. The program's new questionnaire architecture will consist of short base questionnaires for households, women, men, under-5s, and children aged 5-17, populated with universally applicable standard modules, the majority of which produce data on SDG indicators. Complementary topics can also be added based on survey scope, objectives, priorities, content constraints, funding availability, and other concerns. MICS7 will therefore no longer rely on a single set of standard questionnaires. This flexible questionnaire architecture will enable survey customization to meet the needs of different countries and regions more efficiently. MICS7 is rolling out with Regional MICS Survey Design workshops starting in late March with the first workshop in Belgrade, Serbia, where 14 countries participated from the European and Central Asian region. Additional regional survey design workshops will be held in Amman, Dakar, Bangkok, Buenos Aires, and Nairobi from May to September 2023. The MICS7 website will be updated progressively with MICS7 documents as they become available, with major updates expected by mid April. Overall, MICS7 represents an important step forward in global development efforts, with its expanded content, new initiatives, and flexible questionnaire architecture. UNICEF and its partners are committed to ensuring that MICS7 continues to play a leading role in informing policies and programs that improve the lives of children and families around the world, and in monitoring progress towards the SDGs.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Este es un evento paralelo de la octava sesión de la Plataforma Regional para la Reducción del Riesgo de Desastres en las Américas y el Caribe (PR23), que se llevó a cabo del 28 de febrero al 2 de marzo de 2023 en Punta del Este, Uruguay, contó con el auspicio del Gobierno de la República Oriental del Uruguay.
Description: This activity, organized by ECLAC, was carried out within the framework of the eighth session of the Regional Platform for Disaster Risk Reduction in the Americas and the Caribbean (PR23), which took place from February 28 to March 2023 in Punta del Este, Uruguay, which was sponsored by the Government of the Eastern Republic of Uruguay.
Organizer(s): UNCTAD UN Women UNSD UNITAR Global Partnership for Sustainable Development Data
Description:
Citizens' contribution to data, broadly defined as the engagement of citizens in multiple processes in the data value chain, from specifying needs to use of the data to inform policy, is increasingly recognized for its unique ability to help overcome many data challenges of our times and in contributing to the inclusiveness of official statistics.
Citizens’ contribution to data could happen at different levels – global, regional, national, or local. The engagement of citizens can be organized by different stakeholders - scientists, community leaders, civil society organisations (CSOs), or individual citizens. Their engagement can contribute to various stages of the data value chain and serve different objectives and contribute to data and policy in many different ways.
When people—especially those who have been historically excluded from decision making— actively participate in decisions about data collection, design, analysis, and use, they gain greater access to the benefits of data. The official statistical community increasingly recognizes the importance of non-state actors in contributing to the inclusiveness of official statistics.
Title in Arabic: تقنيات التواصل والإعلام ووسائل التواصل الاجتماعي في مجال نشر البيانات والمعلومات الاحصائية
Organizer(s): AITRS
Description: تساعد تقنيات التواصل والإعلام ووسائل التواصل الاجتماعي في تحقيق سهولة الوصول الي البيانات والمعلومات الضرورية للجمهور، حيث يجب أن تكون من الأدوات الأساسية التي تُستخدم في نشر البيانات والمعلومات لأنها تحقق الوصول السريع والمباشر إلى الجمهور المستهدف وتسهل التفاعل الفوري مع الجمهور وتحقيق التأثير الذي يرغب فيه الناشر. في عصرنا هذا، تشكل وسائل التواصل الاجتماعي وتقنياتها اضافة الى المنصات الإلكترونية مصدرًا هامًا للعديد من المهتمين للوصول إلى المعلومات والنشرات الأخبارية في حين أن الوصول إلى البيانات والموارد حول قضايا التنمية في المنطقة العربية لا يكون غالبًا بالعمل السهل. لذلك، يأتي اهمية الولوج إلى شبكة البيانات بسهولة ومن ثم تأمين استخدامها بفعالية عالية يمكّننا من الإضاءة على إخفاقات التنمية وكيفية إحداث التغيير إلى الأفضل، وبالتالي المساهمة في تحقيق التنمية المستدامة بشكل عام. من هذا المنطلق، تأتي هذه الورشة التدريبية لدعم قدرات الأجهزة الإحصائية العربية فيما يخص تقنيات التواصل والإعلام ووسائل التواصل الاجتماعي في مجال نشر البيانات والمعلومات.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: There is clear demand from policy makers, governments, academics and the public to move the statistical measurement framework beyond gross domestic product (GDP), which primarily focuses on economic performance. While traditional measures of economic performance will always have a place, there is a gap between the information contained in GDP and what counts for people’s well-being. Responding to the beyond GDP agenda will require a combination of economic, environmental and social measures that go beyond measures of market activity and include measures centred on people’s well-being, and sustainability of the environment, making the contribution of nature to our well-being explicit. The aim would be to inform various policy goals, including the 2030 Agenda for Sustainable Development and, in the context of accounting for people’s well-being, to address the call by the Secretary-General for new measures of progress to complement GDP. In addition, the Secretary General acknowledged the role of implementing the System of Environmental Economic Accounts (SEEA) and said: "This is a historic step towards transforming how we view and value nature. We will no longer be heedlessly allowing environmental destruction and degradation to be considered economic progress." Going beyond GDP is not to redefine the current sets of indicators, but to identify accounts and indicators so that countries can produce internationally comparable statistics that provide important information for policymakers that go beyond measures of economic performance. While the theme of "Beyond GDP" has a broad scope, this event will first present the need for broader measures of progress and will introduce measures such as a multidimensional vulnerability index (MVI) to assess the vulnerability of small island states as well as other countries; and measures that go beyond the narrow focus on economic growth towards what counts for people and the planet. The event is organized along two panels one representing the users needs for measures beyond GDP and the other presenting how national statistical offices have responded to these demands. In particular, the two panels will address the need for: Measures of social and demographic developments to complement measures of economic performance. Some countries have been pioneers and have done inspiring work in terms of the distribution of income and welfare measures, unpaid household service work, generational distribution of wealth and systems of quality of life statistics Measuring the contribution of nature to our wellbeing – The SEEA has been adopted as an international statistical standard and it is being used to supporting various policy frameworks being implemented in over 90 countries; In the context of updating the 2008 SNA the broadening of the national accounts’ framework to better account for elements affecting well-being and sustainability by describing where the national accounts can contribute to understanding well-being and sustainability, including where the framework can be extended, and where other frameworks such as those from SEEA and demographic and social statistics are required to provide a more comprehensive understanding of these issues.
Description: Session 1: The Role of Data Science in Official Statistics The availability of relevant, timely and usable statistics and indicators is essential for governments to set priorities, make informed decisions and implement better policies. The data science revolution is helping improve the production of those statistics and indicators through new methods, technologies and data sources, such as big data and machine learning. With many National Statistical Offices (NSOs) rapidly expanding their big data and data science capabilities and activities, there is an opportunity to step up international co-operation between NSOs to modernise global and national statistical systems. By sharing knowledge and identifying key priorities at leadership level, NSOs data science leaders can provide strategic vision and leadership to guide the many multilateral cooperation initiatives in this field. A new international and inclusive network for data science leaders can provide insight, strategic advice and secure buy-in to drive innovation, maximize efficiencies and accelerate the integration of statistical production through data science. The Data Science Leaders Network (DSLN) was initiated at the Statistical Commission in March 2022. The DSLN will advance the strategic discussion of key issues concerning the current and future role of NSOs in providing data science services for official statistics on the one hand and to other government agencies on the other. DSLN will also discuss the status of experimental data and indicators, ethical and legal considerations, data sharing and acquisition, the governance of data science research and capability building across government, the code of conduct for data scientists, and the quality framework for big data and data science. It will launch new initiatives and projects, while leaving the execution of those activities to existing groups. DSLN will further provide guidance on areas where capability gaps would justify proactive co-investment among statistical institutes. Session 2: Moving Towards Register-based Censuses: Opportunities and challenges This session of the Friday seminar on Innovation and Modernisation of Official Statistics will bring together Chief Statisticians to discuss the use of administrative data sources for producing population and housing census data. The current round of censuses has been witnessing a growing interest in the use of administrative data sources. The arrival of the Covid-19 pandemic, and the difficulties caused by it, has accelerated existing initiatives to utilize administrative data sources in a significant number of countries all over the world. There are many reasons for exploring administrative registers for producing census information, including : (a) the need to produce accurate, reliable and more frequent statistics (on a yearly basis); (b) high costs of conducting field enumeration and budgetary limitations for census taking; (c) reluctance of the population to participate in the census (for instance, during the COIVD-19 pandemic); and (d) availability of administrative registers for statistical purposes. On the other hand, there are certain challenges regarding the use of administrative registers, including the quality of existing administrative registers, lack of legal framework for the use of individual records for statistical production, and institutional capacity in establishing and maintaining statistical registers. Changing the design of census processes from the traditional method to one that is relying on administrative data sources is a core part of the strategy of many NSOs to develop a register-based statistical system. This will require a pragmatic shift in the way official statistics are produced. This seminar will discuss the process of transitioning and challenges in planning and managing this process, particularly those related to political and public support; legal framework; engagement of stakeholders; confidentiality issues; operational considerations and strengthening institutional capacity. The seminar will also provide an opportunity to learn from experiences of countries that are at different stages of this transition. Session 3: Towards a framework to harness data by citizens, for citizens and about citizens Citizens' contribution to data, broadly defined as the engagement of citizens in multiple processes in the data value chain, is increasingly recognized as critical to helping overcome many data challenges of our times. In particular, in the context of the 2030 Agenda's principle to ensure that nobody is left behind, citizen data helps fill critical data gaps for groups suffering from data marginalization and increase the extent to which their experiences are reflected in national statistics. In addition to filling data gaps, some citizen data initiatives provide insights into harmful customary practices as well as further advance important values such as fairness, inclusiveness, openness and transparency in statistics. Citizens' contribution to data could happen at different levels - global, regional, national, or local. The engagement of citizens can be organized by different stakeholders - scientists, community leaders, civil society organisations (CSOs), or individual citizens. Their engagement can contribute to various stages of the data value chain and serve different objectives and contribute to data and policy in many different ways. The official statistical community also increasingly recognizes the importance of non-state actors in contributing to the inclusiveness of official statistics. For data collection such as censuses and surveys, national statistical offices (NSOs) often partner with CSOs or representatives of marginalized population groups to ensure the inclusiveness of the data and methodology. Unleashing the full potential of citizens for data, however, faces many challenges. These, for example, include the lack of trust between the state and non-state actors, data quality, sustainability and statistical capacity of CSOs, etc. In this context, the United Nations Statistics Division organized an Expert Group Meeting on Harnessing data by citizens for public policy and SDG monitoring: a conceptual framework in November 2022. The meeting discussed different ways that citizens can contribute to data, as well as challenges and opportunities and mechanisms to harness citizens' contribution to fill data gaps and advance fairness, inclusiveness, openness and transparency in statistics. The meeting was attended by representatives from National Statistics Offices (NSOs), Civil Society Organizations (CSOs), academia and regional and international organisations. The meeting agreed that the development of a framework would be an important next step to help conceptualize the different ways citizens can contribute to data and support the formulation of action points for the community to move forward. The meeting also agreed to establish a Collaborative as a platform for collaboration and exchange of experiences and to advance the work in this area.
Description: Water is a key resource in tourism. Direct water use for services to tourists, such as showers, pool landscapes, water activities and culinary offers, can be significant. In this context, water consumption rates that indicate the total volume consumed and litres per tourist per day, are recommended indicators. They can be an important measure of physical carrying capacity, especially for water-scarce destinations, and can warn of potential limits or stress on the supply system. In addition, to relieve pressures on water supply and water systems conservation efforts can be measured, such as actions by the accommodation sector to reduce water consumption and to re-use recycled water (e.g. for irrigation purposes). Other indicators can include, inter alia, the measurement of water supply imported to the destination and total use by tourism as a percentage of all users. The drinking water quality in a destination, which is considered an important factor for the wellbeing of tourists, is an additional import dimension for monitoring. Indicators that look into the purity of drinking water supply, such as amount of tourism establishments with water treated to international potable standards, percentage of visitors reporting water-borne illnesses during their stay, and the perception of cleanliness of food and water are among some of the suggested indicators. However, monitoring water management at the destination level remains a major challenge, as collecting information on water is often difficult and costly, quality can be lacking, and the issue is complex as it is related to many aspects such as climate change, agriculture, infrastructure, and others. This is relevant because sustainable water management is seen as central to building the resilience of destinations, their societies and ecosystems. This INSTO Insights webinar discussed the experiences and insights of INSTO Members and experts on monitoring water management, which is one of the 11 mandatory key issue areas INSTO Members are committed to monitor. Experiences was shared on used indicators and various methodologies in this regard. The implications of these monitoring efforts in terms of informing policies and strategies was also discussed.
Methods of Processing and Analysis of Web Scraped Tourism Data
23 Feb 2023 – 23 Feb 2023
Source: Eurostat (Data extracted on: 10 Jan 2023 )
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Organizer(s): Eurostat
Description: This webinar will discuss the issues of data sources available in tourism statistics. We will present how to search for new data sources and how to analyse them. We will review and apply methods for merging and combining the web scraped data with other sources, using various programming environments. We will also look at different methods for removing any duplicates found in the merged dataset.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP
Description: The System of National Accounts is a statistical framework that provides a comprehensive,consistent and flexible set of macroeconomic accounts that can be used by governments,businessesand international organizations for policy makinganalysis and research purposes. The SNA is intended for use by all countrieshaving been designed to accommodate the needs of countries at different stages of economic development. It also provides an overarching framework for standards in other domains of economic statisticsfacilitating the integration of these statistical systems to achieve consistency with the national accounts.
Description: Each year the United States Department of Agriculture’s (USDA’s) National Agriculture Statistics Service (NASS) conducts more than 100 surveys and produces more than 400 reports on all aspects of U.S. Agriculture, ranging from estimates of corn and cattle production to agricultural prices and expenses. For over a half century, sample surveys have been the foundation for producing these official statistics. In recent years, as is common with other National Statistical Agencies, response rates and the coverage of the NASS list frame (of all known U.S. farms) have continued to decline. Further, because U.S. agricultural production is increasingly concentrated in a few large farming operations, the quality of the official statistics produced relies heavily on obtaining responses from the producers of these large farms. Consequently, these producers may each receive more than 20 surveys each year, constituting a heavy reporting burden. At the same time, non-survey data, including administrative, remotely sensed, and weather data, have become increasing available. NASS is currently working to incorporate more non-survey data in the estimation process to improve the precision of the estimates while reducing reporting burden. Two approaches to integrating survey and non-survey data are (1) to combine survey estimates and non-survey information at some specified level of geography through modelling and (2) to link the survey and non-survey data at the farm level and then to produce estimates based on the linked data. To date, NASS has taken approach (1), using Bayesian models to combine survey and non-survey data at the county or regional levels in three major programs. These models incorporate the survey estimates, non-survey information, and known constraints on the estimates. This presentation focuses on the Bayesian models now being used to provide official statistics and describes the process of moving a new model into the production. Linking the survey and non-survey data at the farm level, i.e., approach (2), has been challenging because, while all non-survey data acquired thus far are georeferenced, the NASS list frame itself is not. Progress is being made and will be outlined. Current and future research directions will be highlighted.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Are you interested in agriculture and fisheries statistics and in the wider farm to fork chain? Let us guide you through the latest edition of the Key figures on the European food chain publication. We start by presenting data about farms, farmers, farm production and prices, the economic performance of the agricultural sector and fisheries' activities. Moving along the chain, we then look at the processing, trade, distribution and consumption of food and beverages, their prices and some of the links between agriculture, food and the environment.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘SDG 1 (No Poverty) Indicators’ for the benefit of National Statistical Offices (NSOs) of French speaking OIC countries on 21-22 February 2023 through an online video conferencing platform. Mrs Souad Benneji, Chief Engineer, Deputy Director of Consumption and Standard of Living Statistics at the National Institute of Statistics (INS) of Republic of Tunisia, will conduct the course and cover the following topics: Presentation of the theoretical basis of the SDGs The matrix of indicators Tier classification of the UN Identification of production structures Global monitoring framework for the 2030 Agenda Status of the implementation of the 2030 Agenda in Africa related to SDG1 Measurement of SDG 1 Indicators Introduction to SDG1 Targets, indicators Identification of sources, periodicity Methodology for calculating SDG 1 indicators Monetary (one-dimensional) measures of poverty Targets 1-2 (Indicator 1.2.1) The multidimensional poverty approach Target 2 (Indicator 1.2.2) Indicator measurements (Administrative) Targets 3-5 and Targets A-B The StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of the SESRIC. Within its framework, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB questionnaire, assesses their needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provide countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to offer theoretical overview of SHA Methodology, but also to give practical approach to build a health data questionnaire. The course will provide to the participants overview of current SHA requirements.
Target Audience: The course is targeted at statisticians working on health administrative data from National Statistical Institutes or Ministries of health/welfare.
Title in Arabic: مواضيع متقدمة في العينات وحساب الأوزان وتعديلها
Organizer(s): AITRS
Description: تعتبر الدورة التدريبية الحالية المتعلقة بمواضيع متقدمة في العينات وحساب الأوزان وتعديلها مواصلة لمجهودات المعهد في دعم قدرات الاجهزة الاحصائية العربية في مجال مهم في كل الانشطة الاحصائية، وهي الثالثة في سلسلة الدورات المنعقدة حول العينات والمواضيع الخاصة بها. وسيتم تناول هذه الدورة من خلال تقديم مواضيع متقدمة في علم العينات، وذلك لبناء قدرات المتدربين بشكل افضل وزيادة خبرتهم في تطبيقات تعتبر ضرورية في مجال تصميم العينات المتكررة وحساب الاوزان. وقد اصبحت هذه التطبيقات منتشرة اقليميا ودولياً في الفترة الاخيرة نتيجة زيادة كفاءة البرمجيات الحديثة، والتطور السريع في المجال الاحصائي.
Description: This course, presented by the IMF Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in the compilation of more advanced parts of the accounting structure including supply and use tables, input-output tables, satellite accounts, labor and productivity statistics, and advanced price and volume topics. The course starts with review of the sequence of accounts with a focus on how these accounts can be extended to address specific user needs. The main lectures and workshops include: * Supply and use tables. * Input-Output Tables. * Trade in Value Added. * Satellite Accounts. * Labor and Productivity Statistics. * Advanced topics in price and volume measurement. * Emphasis is also placed on sharing country experiences among the participants.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts statistics.
Description: The launch of the new eLearning course on Small Area Estimation (SAE) was an event to remember. UNSD, UN ECLAC Statistics Division, and UNFPA gathered a prestigious panel of experts to discuss how Small Area Estimation (SAE) methods can support SDGs and countries, and how the eLearning course is an essential tool for disseminating knowledge and making information more accessible. The panel discussion featured insights from internationally renowned professors, as well as experiences from countries and international organizations, all of which inspired the audience and highlighted how much still needs to be done. The launch of this eLearning course marks a milestone in the journey on SAE, which started with the launch of the Toolkit on SAE on the Wiki platform requested by IAEG-SDG one year ago. With over 220 people attending the online event, it's clear that the topic of SAE is highly popular. More information on the event page.
Description: The side-event was organized by UNODC. UNSD was asked to present on Modalities of data sharing arrangements around use of administrative data. The side event discussed how to harness administrative data for crime and criminal justice statistics. Law enforcement, courts, prosecution offices, prison administrations, customs authorities and other actors involved in the criminal justice sector all collect, or have the opportunity to collect, large swaths of administrative data that can assist in improving our understanding of the dynamics of (transnational) crime and the effectiveness of operations. For this administrative data to be suitable for statistical purposes, however, it is vital that statistical concepts and methodologies are applied consistently to ensure data comparability. The webinar also included presentations from countries on their experience in using administrative data for crime and criminal justice statistics as well as presentation from international agencies on some tools at the disposal of countries to facilitate its work. UNSD has added the webinar to the pages of the Collaborative on administrative data here.
Description: The UN-CEBD Task Team on Mobile Phone Data will be discussing the applications of mobile phone big data for official statistics in the following areas: Dynamic population and census, Tourism statistics, Migration statistics, Displacement and disaster statistics Information Society statistics, Transport statistics. The webinar will also take a look at various projects and case studies from around the world and provide an introduction to the new e-learning course developed by the task team.
Description: UNSD moderated the side event, which was organized by UN Women in collaboration with UNSD, FAO and UNHCR. Ms. Antra Bhatt, Statistics Specialist, Research and Data Section, UN Women, presented UN Women and UNSD’s joint publication Progress on the Sustainable Development Goals: The Gender Snapshot 2022 Report, emphasizing the data and indicators available and needed for monitoring the SDGs from a gender perspective as well as data gaps. The event also featured presentations by Aina Helen Saetre, Statistician, UNHCR and Sara Viviani, Statistician, FAO on the importance of disaggregating key statistics by sex and age using global datasets on gender and migration and food security, followed by a moderated Q&A. Between 60-65 participants attended the side event and discussion focused on identifying why there are continual gender data gaps in the SDGs, how to address these issues and encourage more monitoring by countries. In addition, while the data for achieving gender equality is not currently on track to be achieved by 2030, panelists noted that a positive in this area is an increase in partnerships and collaboration to increase the availability of gender data, which will hopefully lead to advances in achieving this Goal.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Did you know that the ten top regions account for 25% of all nights spent in the EU? And did you know that every single minute, 100 bookings are made via online accommodation platforms? This webinar on European tourism data and policy introduces you to European tourism statistics, including the recent innovative project on data sharing with Airbnb, Booking, Expedia Group and Tripadvisor. It also showcases how statistical data interact with policymaking.
Description: In preparation for the 54th session of the Statistical Commission, UNSD organized a highlevel webinar on the Future of Social and Demographic Statistics. The high-level panel discussion was conducted virtually and attracted around 280 participants, including officials from 60 national statistical offices, and representative from more than 20 international organizations, academia, and the UN system at large. The event was moderated by Ms. Gabriella Vukovich, Chair of the UN Statistical Commission and President of the Hungarian Central Statistical Office. The panelists, coming from national statistical offices (Statistics Canada and UK’s Office for National Statistics), as well UN agencies (WHO), provided insights into key concerns, challenges, and priorities identified by data users they serve, and highlighted how their statistical systems are evolving to respond to data requests. As this event was an opportunity to informally provide feedback on the report of the Secretary-General on Social Statistics, which will serve as the basis for launching the work on a review of social and demographic statistics through a Friends of the Chair Group (FoC Social), the panelists also reflected on how FoC Social could build on their country/organization experiences, highlighting some of the areas where the Group can realistically deliver practical recommendations for an agile and more responsive system of social and demographic statistics. The UN Statistics Division will serve as the Secretariat of the Friends of the Chair Group, and the outcomes of this high-level panel discussion will contribute to identifying a work programme for the Group to achieve strengthened social and demographic statistics that fulfil data requirements under the 2030 Agenda for Sustainable Development and anticipate data needs beyond 2030. The Group will work for a period of three years and report back on agreed deliverables at the fifty-seventh session of the Statistical Commission in 2026.
Description: Voluntary National Reviews (VNR), led and prepared by Member States and presented at the High-Level Political Forum on Sustainable Development (HLPF), are a critical review mechanism for the 2030 Agenda and should be supported by high quality data and statistics to ensure that the review is evidence-based. This side event of the 54th session of the Statistical Commission provided country experiences, best practices and challenges in developing evidence-based VNRs. The event explored best tools, data sources and other methodologies/techniques for SDG monitoring and deepening the data analysis in VNRs. Canada, Rwanda and Chile shared their national experiences and UNSD also presented the Practical Guide for Evidencebased VNRs using a data roadmap approach. The event focused on the following topics: progress assessments, innovative data collection and analysis and challenges and limitations encountered when collecting and using data for the preparation of the VNR. Countries also explored their plans to innovate data collection and analysis for SDG monitoring and VNRs in the future. The virtual event was attended by over 150 participants and presentations are available on the event webpage. The event was also streamed live and can be viewed on Youtube.
Description: Within the framework of the Programme of Action for 2021-2025 set under the OIC-StatCom Strategic Vision for 2030 and its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘Transforming Administrative Registers for Statistical Data Production’ on 14 February 2023, in collaboration with the United Nations Economic Commission for Europe (UNECE) and the United Nations Statistics Division (UNSD) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC member countries. The main objective of the webinar is to provide a platform to exchange knowledge on how to develop and deploy the required technology and the mechanisms to transform the administrative registers for statistical data production in national statistical systems of OIC member countries including discussions about the relevant initiatives, challenges faced and lessons learnt by all stakeholders. The Webinar will cover: Advantages of using administrative sources Frameworks for access to administrative sources Collaborative on the Use of Administrative Data for Statistics Assessment of the quality of administrative sources for use in population and housing censuses Good practices from the OIC region Document: Concept Note and Work Programme (English) Using Administrative and Secondary Sources for Official Statistics (English) Guidelines for assessing the quality of administrative sources for use in censuses (English)
Description: This course, presented by the Statistics Department, teaches you how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs). The course presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.
Description: This course, presented by the Statistics Department, introduces the fundamentals of compiling monetary statistics, with special attention to other financial corporations (OFCs). It also gives an overview of financial statistics and national accounts. The course material is based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). Although the course summarizes the main principles underlying the compilation of monetary statistics, it assumes participants already understand these principles (e.g., having participated in the MFS-I course). The core of the course deals with characteristics of various OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structure, and their role in the financial sector. The course also covers some aspects of financial statistics, dealing with financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world; the balance sheet approach to vulnerability analysis; and the relationships between monetary, balance of payments, government finance, and national accounts statistics. The course consists of lectures and case studies to familiarize participants with practical aspects of compiling monetary statistics for OFCs and the basic principles underlying the compilation of national accounts. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Description: A diverse panel of experts gathered to discuss how data integration and interoperability can help countries and international agencies tackle issues related to their mandate. Topics discussed included integrating Twitter and Demographic Health Survey data to understand online violence against women in India, integrating data sources to disaggregate SDG indicators, a pilot study in Sri Lanka to apply common statistical standards across survey types, combining administrative and survey data to estimate outof-school rates, a pilot project to link MICS to EMIS data in Eswatini and Fiji, supporting satellite-based crop type mapping and crop yield estimation through surveys, and the experience of Bangladesh in estimating poverty using Small Area Estimation and nonconventional data. The 54th UNSC side event marked the first in a series of webinars about household survey program priorities for the next decade. The series is based on the ISWGHS Position Paper published last year, which contains eight technical priorities. Organized by the ISWGHS with the support of its co-chairs from the World Bank and UN Women, the event was attended by more than 150 people. For more information, please visit our website.
Description: In recent years, almost every government has been faced with very serious challenges, such as the global health pandemic, supply chain disruption, rising energy and food prices, and decreasing household budgets. To handle these crises in the right way, our leaders need the right data at the right time. National statistical offices are tasked to provide these trusted, relevant, timely and high-quality data. All of those data are very sensitive in terms of private information on persons or businesses. To gain access to the sensitive data while guaranteeing that privacy will be preserved, privacy-enhancing technologies (PETs) are receiving increased attention. Whereas legal arrangements on data sharing can lead to unwanted breaches, the promise of PETs is that privacy is guaranteed. If you cannot see the original data at any time, you cannot by accident reveal any original information. In this webinar, experts of the task team on PETs will launch the "UN Guide on PETs for Official Statistics". The program is as follows.
Description: As part of the 54th session of the UN Statistical Commission, in this side event, the IAEG-SDGs would like to start the initial discussion on the review process. The IAEG-SDGs will brief countries, international agencies and stakeholders on the principles, criteria, and timeline of the 2025 Comprehensive Review. The event will also provide a platform for custodian agencies, Member States and civil society organisations to share experiences from the last comprehensive review and to outline their plans and strategies for developing successful proposals for this round.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: * Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. * Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics.
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics.
Source: World Bank (Data extracted on: 03 Feb 2023 )
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Organizer(s): World Bank
Description: Advancing the World Bank’s twin goals of ending extreme poverty and boosting shared prosperity requires knowing who the poor are and where they live. By reaching the most granular levels of geographic aggregation, policymakers can significantly improve outcomes for the world’s poorest. However, survey data alone is not sufficient for targeting at the lowest levels. This is where small area estimation becomes necessary. The publication of Guidelines to Small Area Estimation for Poverty Mapping caps more than two decades of poverty mapping experience at the World Bank since the launch of an innovative method combining census and survey data to study the spatial dimensions of poverty. The guidelines build upon the lessons learned from experience and seek to guide readers on the best methods available for a variety of data landscapes.
Description: Classification of the Functions of Government (COFOG) is a classification defined by the United Nations Statistics Division and adapted to the IMF government finance statistics (GFS) reporting framework. COFOG enables trends in government expenditure by function (e.g., defense or education) or policy purposes to be examined over time. The value of this is that expenditure by functions of government of different countries can be compared. Participants will gain an understanding of how the ten functions of government as described in the GFSM 2014 are classified, how to categorize expenditure data to generate a functional split will be explained and how it should reconcile with the economic classification of expenditure data used in the GFS. Participants should feel comfortable to present and discuss relevant data of their own country. Practical exercises with participants working in random groups will feature throughout the course enabling them to be able to appropriately categorize expenditure data to the correct functional categories. Focus will be on the function environmental protection and how this can be used in conjunction with other government data on climate change to see how governments are addressing the issue. In addition, applications of COFOG for reporting select UN Sustainable Development Goal (SDG) indicators will be discussed.
Description: Objective To delve into the development of indicator frameworks for inclusive and sustainable policies. The workshop will provide a comprehensive overview of ESCAP’s framework for policy and data integration and focus on key aspects of statistical indicators development. Moreover, the workshop will offer an opportunity for participating countries to share practical experiences. Expected Outputs Increased capacity of relevant national officials in assuring policy inclusiveness and developing a comprehensive indicator framework. All participants are expected to be engaged in the discussions and contribute towards the workshop outputs with demonstrating their national experiences. Background In 2021, ESCAP launched a project on "integrating policy and data to leave no one behind in selected countries in Asia and the Pacific," with support from the Republic of Korea. The project aims to assist countries in reviewing and developing comprehensive policy monitoring indicator frameworks that are well integrated with the four dimensions of development to leave no one behind. The workshop, jointly organized by the Republic of Korea National Statistics Office (KOSTAT) and ESCAP, is designed to (a) expand on the importance of policy and data integration through user-producer dialogue; (b) guide the process of developing national indicators, describing the characteristics of well-defined indicators; (c) introducing the tool ‘Every Policy is Connected (EPIC)’; and (d) provide participating countries with an opportunity to share their experiences. The following countries from and Asia-Pacific region are invited: Bangladesh, Brunei Darussalam, Fiji, Kyrgyzstan, Maldives, Mongolia, Palau, the Philippines, Sri Lanka, Thailand, Timor-Leste, and Viet Nam. , EPiC tool: Overview Resources Workshops
Organizer(s): UNSD UN Foundation Global Partnership for Sustainable Development Data Data2x
Description: In order to foster learning for the 2023 VNR countries, the United Nations Department of Economic and Social Affairs (UNDESA), UN Statistics Division, UN Foundation, Global Partnership for Sustainable Development Data and Data2X will host a virtual peer exchange on the 2nd of February 2023- 7-9am EST/7-9pm ICT. This exchange will provide a space for countries to learn from one another and to identify best practices in developing their VNRs.
Description: Objectives of the webinar: Practical conclusions derived from the history of the FPOS, based on 30 years of experiences of by different groups of stakeholders of official statistics, with special reference to statistical agencies and other producers of official statistics and to the governments and international organizations. Mission of the FPOS in XXI century – legal, methodological and ethical basis of protecting “clean” information for societies in knowledge-based economies amid conditions of globalization.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 03 Feb 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: This course is an eye-opener, democratizing the ethical development and use of AI to empower every human to achieve more. Understand the working principles of Artificial Intelligences (AI). Get to know the processes and tools involved in creating an AI. Get to know impactful use cases of AI. Understand the risks and challenges related to AI. Unlock entirely new data sources for science by leveraging existing AIs (without coding). Training new custom AIs (with some coding).
Target Audience: Statistical production units and methodologist of NSIs.
Description: Building on an earlier workshop organized in by the Brisbane Accord Group (BAG) and more recently, the online data analysis and report writing course held in 2021 (supported by ESCAP, SPC and ABS), this course aims to further strengthen the capacity of countries in the analysis of administrative data generated from civil registration systems with an objective of providing evidence on the performance of civil registration systems and making this data available for policy and planning (where it meets a sufficient level of quality and completeness). Specifically, the course is designed to address these two objectives: Assist countries to complete a vital statistics report that illustrates current levels and trends of births and deaths over time, and that can be used for planning and policy review purposes. Assist participants to build proficiency in key analytical, interpretation and presentation skills required to meet regional, national and international reporting requirements. About 10 participants from five countries: Kiribati, Samoa, Tonga, Fiji and Vanuatu are invited to attend the course.
Source: Eurostat (Data extracted on: 31 Oct 2022 )
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Organizer(s): Eurostat
Description: To raise general awareness about the peer reviews in the ESS. To make staff familiar with the methodology for peer reviews. To harmonise the way peer reviews are implemented in the EU MS and EFTA countries.
Target Audience: Staff in the EU/EFTA MS NSIs/ONAs involved in the implementation of the 3rd round of ESS peer reviews in their country.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+ via the graphical interface and R.
Target Audience: Staff of national statistical institutes (including newcomers) involved in the production process who want to acquire a good understanding of Seasonal Adjustment (SA) methods and practices.
Description: Modelling spatio-temporal phenomena is a key issue in today’s research. However, the extension from pure spatial to a spatio-temporal kriging approach is not trivial. We will look into a set of different perceptions of spatio-temporal dependence and the resulting covariance models (separable, product-sum, metric, …). The practical part deals with the exploration of empirical variograms and the different variogram models applied to different data sets. Finally, some computational aspects regarding R environment and specific packages available for variogram fitting and prediction purposes will be illustrated.
Target Audience: Statisticians interested in applications involving earth sciences
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The Brazilian Labour Force Survey (BLFS) is a quarterly rotating panel survey with 80% sample overlap between two successive quarters. We will present time series models developed to produce model-based single month estimates at national level as well as small area (state-level) estimates, which are both at a higher frequency than those currently being published. In addition, multivariate time series models that integrate survey data and Google Trends series for nowcasting are considered. High dimensionality problems are solved using a dynamic state space model. In this case, we also discuss the choice of search terms and approaches for targeting predictors in the dimensionality reduction process. The models account for the autocorrelation due to sample overlap and the increased volatility in the labour force series in 2020. This is joint work with Luna Hidalgo (IBGE) e and Jan van den Brakel (Statistics Netherlands and Maastricht University).
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: For this Global Network Webinar we were excited to welcome Gabriel Gamez and Clarence Lio from the United Nations Statistics Division (UNSD) who presented on the Handbook on Management and Organization of National Statistical Systems - its features and how to keep it relevant. The Handbook on Management and Organization of National Statistical Systems, the 4th edition of a series of publications on the management of statistical organizations, was endorsed by the 52nd session of the United Nations Statistical Commission in March 2021 as a non-prescriptive compendium targeting chief statisticians, senior managers, and staff members of statistical organizations. The Handbook provides guidance on developing and maintaining national statistical capacity that is fit for purpose and apprises critical issues and topics, including integrating innovative data sources and technologies in the production of statistics and indicators. To remain relevant in a rapidly changing data ecosystem, the Handbook has been designed as a "living document" to be regularly updated and revised under the guidance of an Advisory Group composed of national and international chief and senior statisticians. Gabriel Gamez presented the genesis of the Handbook, its structure and content, while Clarence Lio provided a short demo of the mobile-device compatible format and the printer-friendly version, both available on the UNSD website. The webinar also reflected on the mechanisms to keep the compendium fit for purpose and concluded with proposals for alterations and revisions submitted to the upcoming UN Statistical Commission.
Enhancing the Quality of Statistical Business Registers with Scraped Data
24 Jan 2023 – 24 Jan 2023
Source: Eurostat (Data extracted on: 10 Jan 2023 )
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Organizer(s): Eurostat
Description: This webinar will aim to inspire and equip participants keen to use web-scraped information to enhance the quality of the Statistical Business Registers. The webinar will discuss some of the different approaches to web scraping business information and the automatic prediction of NACE codes via text mining.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in developing and using more advanced compilation techniques in areas including supply and use tables (SUTs), input-output tables, price and volume measures, and thematic satellite accounts. The course starts with SNA framework and will discuss how these accounts can be extended to address specific user needs. The main lectures and workshops include: Conceptual framework of the SNA; Output of specific industries; SUTs and input-outputs tables; Price and volume measurement; Estimating consumption of fixed capital; and Thematic satellite accounts, with a focus on topics covered in the update of the 2008 SNA (e.g., informal economy, labor accounts).Emphasis is also placed on sharing country experiences among the participants.
Description: This course, presented by the IMF Statistics Department, identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application. Emphasis is given to the importance of evaluating alternative data sources for compiling RPPIs in terms of coverage, timeliness, richness in terms of supporting a quality-mix methodology, suitability of a price measure, and weighting. Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources. The methodological component of the course emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices. Mix-adjustment by stratification and hedonic regression are the main methods used to deal with this issue and interactive workshops deal with these topics. The course also highlights how data source and methodological issues are intertwined and follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank. Practical advice on RPPI compilation will draw on the 2020 RPPI Practical Compilation Guide published by the IMF.
Description: Introduction and Background Revision Selected count data distributions: Poisson, negative binomial (NB), zeta, logarithmic. Examples of heaped and seeped (digit preference) data in self-reported surveys. Other examples of inflated (spiked), truncated and deflated (dipped) count data. Generalized linear models (GLMs) and Vector GLMs (VGLMs). Underdispersion, equidispersion and overdispersion. The multinomial logit model (MLM). The VGAM R package. Using glm() and vglm() in R. GAITD Regression Theory Notation and the 7 special value types. Parametric versus nonparametric variants. Probability mass function of the full `combo’ model. Seven mode example. With covariates, what questions GA, GI, GD models can answer. Properties: moments, cumulative distribution function. The Generally-Truncation-Expansion (GTE) method for underdispersion. The GAITD-Poisson and GAITD-NB models. Overfitting. Two measures of AITD: Kullback-Leibler divergence and the Xi measure. Practical Tutorial Examples Basic use of spikeplot(), plotdgaitd() and dgaitdplot(). Sleep duration data (GTE + GI). Self-reported smoking data. Other Topics A selection from (time permitting): Choosing initial values and monitoring convergence. Advanced modelling, e.g., order of the linear predictors, extractor functions, vgam() and rrvglm() for additive modelling and reduced-rank regression. Joint effects of the 7 special value types on underdispersion and overdispersion. Hypothesis testing, model selection via AIC, Vuong’s test. Comments on special cases such as the zero-inflated Poisson (ZIP), zero-altered Poisson (ZAP; a hurdle model), zero-truncated (positive) Poisson (ZTP).
Target Audience: Statistical practitioners, especially of regression and those with count responses from self-reported survey data. Postgraduate and advanced undergraduate students in statistics would also very suitable.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘SDG 1 (No Poverty) Indicators’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 17-18 January 2023 through an online video conferencing platform. Ms. Pazlina Waty Che Pah, Principal Assistant Director in Prices, Income and Expenditure Division at the Department of Statistics Malaysia (DOSM), will conduct the course and cover the following topics: Statistical Framework in Malaysia and Moving Forward to SDG 2030 Overview of SDG 1 indicators Concepts and definitions Methodology Data sources Reporting Malaysia’s Indicators on SDG related to poverty eradication SDG 1 indicators of Malaysia Road Map for unavailable SDG 1 indicators The StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of the SESRIC. Within its framework, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB questionnaire, assesses their needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provide countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: In this Global Network Webinar, Yongyi Min and Heather Page from the SDG Monitoring Section of the United Nations Statistics Division presented on preparing evidence-based Voluntary National Reviews (VNRs). Data are being widely recognized as strategic assets in accelerating the implementation of the SDGs. Data and statistics are therefore a vital element of Voluntary National Reviews and SDG reporting to accurately demonstrate SDG commitment and progress. VNRs, presented by countries at the High-Level Political Forum in July, are meant to support governments in reviewing implementation of the Global Goals through the opportunity to share experiences among Member States. Several resources have been developed to support Member States in different aspects of the VNRs and UNSD has developed a Guide to serve as a complementary resource for Member States on how to use data and statistics to support evidence-based VNRs. The Practical Guide to Evidence-based Voluntary National Reviews takes a roadmap approach and good practice examples to suggest key stages in the national VNR process that can enhance the use of data. The publication provides recommendations for what should be reported, how to compile and present statistics, and what information to include in these reviews. In this webinar, Yongyi and Heather presented the Guide and data roadmap as well as additional resources for developing evidence-based VNRs.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling indicators that inform climate change. The topics covered include among othersclimate change policies and indicators; energy and air emission accounts; and data sources. Weekly webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions. Following the completion of the course and depending on resource availabilityin-kind support will be provided to countries interested in the compilation of climate change indicators that will be introduced and discussed during the course.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide.
Description: This one-week course will be presented by experts from the International Monetary Fund's Statistics Department. The course will be based on the System of National Accounts 2008 (2008 SNA). The course will cover the following topics: national accounts concepts, methods, and framework; estimating Gross Domestic Product using the production, expenditure and income approach; Supply and Use tables and Input and Output tables; price and volume measures and Satellite accounts. The course will feature interactive lectures and hands-on exercises that enable participants to operationalize what they learn. The main lectures and workshops include: (i) Overview of the System of National Accounts, (ii) Gross Domestic Product by Production, Expenditure and Income approach (iii) Supply and use tables and Input and output tables (iv) Price and Volume measures (v) Satellite accounts.
Source: Eurostat (Data extracted on: 31 Oct 2022 )
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Organizer(s): Eurostat GOPA
Description: Drawing from work done in the past few years in the context of Large Case Units and European Profiling, and to support the ongoing move to a more systematic and coordinated approach to globalisation-related activities in the ESS, this course should support managers/statisticians involved in business/macroeconomic and globalisation statistics growing need to understand well and interact successfully with multinational enterprise groups (MNEs) operating in Europe. The course will aim at providing the participants with an improved statistical skillset to tackle Multinational Enterprise Groups issues, including: * A better understanding of the MNEs structure, organization and activities; * A better understanding MNEs accounting and reporting concepts and standards; * Searching and using financial information on MNEs; * Role of profiling and practical implementation.
Target Audience: Managers and statisticians fully or partially involved in the domain of business statistics, macroeconomics and globalisation statistics.
Description: Nonresponse is one of the factors that affect the quality of survey data. The course will focus on modelling optimum response in longitudinal survey.
Target Audience: Postgraduate students, data producers and survey methodology experts
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘Government Finance, Fiscal and Public Sector Statistics’ for the benefit of National Statistical Offices (NSOs) of Arabic speaking OIC countries on 10-12 January 2023 through an online video conferencing platform. Mr. Faed Rayyan, Director of Government Finance Statistics (GFS) Department as well as Compiler of the Balance of Payments and International Investment Position at the Palestinian Central Bureau of Statistics (PCBS), will conduct the course and cover the following topics: Overview of definitions, accounting rules, instruments and counterparties Coverage and sectorization Consolidation Debt data compilation issues Presentation and dissemination of GFS Challenges and recommendations The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: Many failings in the application of statistics do not result from errors in calculations but from logical and conceptual misunderstandings. Selection of methods for data analysis, interpretation of data and testing results, and application of statistical information in decision-making, for example, all demand strong foundations in probabilistic thinking. This course supplies tools and best practices for teaching and communicating statistical thinking as a foundation for conducting, understanding, and applying statistics. While the statistical community has a wide variety of successful tools for teaching statistical calculations and tests, examples and resources for teaching statistical thinking are less common. We include examples from scientific studies, official statistics, working with decision-makers, and communicating to the general public. The first half of the course will focus on common errors in statistical thinking and how to avoid them. It includes methods for thinking in simulations; how a single statistical analysis fits into the larger supply-chain of knowledge; and what p-values are and how they are often misused. We will conduct hands-on activities that can be used in a wide variety of settings, including on-line workshops. A set of these activities have paired R-labs for those teaching statistics courses. The second half of the course focuses on statistical communication and the responsibilities of statisticians in communication of data and uncertainty. We cover some classic and fascinating examples of statistical miscommunication and work in groups on statistical communication challenges. Activities focus on communication of scientific results as well as official statistics and, in particular, on best practices for communicating uncertainty so that the uncertainty can be leveraged in decision-making. These activities will be enable anyone teaching statistics as well as anyone consulting or communicating in the field of statistics to more clearly articulate the interpretation of scientific studies as well as why there is uncertainty, what it means, and how that information can be applied in a decision-making context.
Target Audience: The target audience focuses on statisticians teaching statistics courses at the undergraduate and graduate level and will also be relevant to anyone conducting statistical consulting or communicating statistical work to those without a strong statistical background.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, introduces the fundamentals of compiling monetary statistics, with special attention to other financial corporations (OFCs). It also gives an overview of financial statistics and national accounts. The course material is based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). Although the course summarizes the main principles underlying the compilation of monetary statistics, it assumes participants already understand these principles (e.g., having participated in the MFS-I course). The core of the course deals with characteristics of various OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structure, and their role in the financial sector. The course also covers some aspects of financial statistics, dealing with financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world; the balance sheet approach to vulnerability analysis; and the relationships between monetary, balance of payments, government finance, and national accounts statistics. The course consists of lectures and case studies to familiarize participants with practical aspects of compiling monetary statistics for OFCs and the basic principles underlying the compilation of national accounts. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Description: This series of webinar provides a general introduction to Bayesian modeling with a particular focus on regression and multilevel models. The use of the system R in Bayesian computation is described, including the programming of the Bayesian model and the use of different R tools to summarize the posterior. Special focus will be on the application of Markov chain Monte Carlo (MCMC) algorithms and diagnostic methods to assess convergence of the algorithms. The LearnBayes and rethinking R packages are used to illustrate MCMC fitting by the use of Gibbs sampling and Metropolis algorithms. Larger Bayesian models will be fit using JAGS and Stan and the accompanying runjags and rstan packages.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). The course covers basic concepts, definitions, and classifications, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the EDS. Finally, participants are briefed on basic concepts of the debt sustainability analysis framework.
Description: The consumer price index (CPI) is one of the most important macroeconomic indicators produced by a country. CPI data are essential inputs for policymakers who require reliable measures of price change to make sound policy decisions. In addition, wages, salaries, government payments, pensions, rent, and other payments are indexed to the CPI and require accurate estimates of inflation. Learn the key concepts and compilation methods required to compile reliable CPI data using the best available methods.
Description: This course is presented by the ISI Statistical Capacity Building (SCB) Committee. It is available for free to everyone. The course includes an introduction to (descriptive) statistics, and modules on sampling, probability, statistical inference, experimental design, categorical data, non-parametric methods, and linear regression. We thank Ann Maharaj (Australia), Delia North and her three collaborators (South Africa), and Edward Boone (United States) for their efforts in developing it. Capacity building is a strategic priority for ISI, and the SCB Committee has been very active in organising courses and favouring participation in events, sometimes in cooperation with other organisations. Now the SCB Committee is working to provide online courses and webinars, starting with this course. The Committee is also looking into providing sessions devoted to Questions and Answers. More information will be provided as soon as we have it available. Modules: (1) Introduction to Statistics and Descriptive Statistics; (2) Sampling; (3) Probability; (4) Statistical Inference for One Population; (5) Statistical Inference for Two Populations; (6) Experimental Design and Analysis of Variance; (7) Analysis of Categorical Data; (8) Non-Parametric Methods; (9) Simple Linear Regression; (10) Multiple Linear Regression
Description: High-level virtual side event on the 'Road to the Commission'. The Webinar will be held online on December 14 from 7:00 to 8:30 am (New York time). To participate, please register by clicking here.
The UN Statistics Division is organising a series of webinars on the UN Fundamental Principles of Official Statistics (FPOS or the Principles), which will pave the way to the 30th anniversary of the adoption of the Principles by the UN Statistical Commission, and the 10th anniversary of their endorsement by the UN General Assembly. This Webinar is also the first in a series of high-level side events convened under the auspices of the Statistical Commission on the 'Road to the Commission'.
The Webinar will be an interactive event with the participation of selected high-level panellists. It aims to recall the journey of the FPOS from their adoption by the Conference of European Statisticians in 1991 to their acknowledgement and endorsement at the global level. Panellists will reflect on how this set of essential standards has secured official statistics' trust, transparency, accountability and relevance. The Webinar will eventually discuss success stories and challenges in implementing the Principles. It will consider specific regional and national contexts and touch upon their possible extension to the entire national data ecosystem. It will conclude with an early reflection on possible global and regional mechanisms to monitor their implementation and follow up on non-compliance.
For this Webinar, the organisers have the pleasure of confirming the participation as panellist of:
Laura Ahtime, Chief Executive Officer, National Bureau of Statistics (NBS), Seychelles
Misha Belkindas, President of the International Association for Official Statistics (IAOS)
Pádraig Dalton, Director General of the Central Statistics Office (CSO), Ireland
Marco Lavagna, Director General of the National Institute of Statistics and Census (INDEC), Argentina
Stefan Schweinfest, Director of the United Nations Statistics Division (UNSD)
Ola Awad Shakhshir, President of the Palestinian Central Bureau of Statistics (PCBS)
Hallgrimur Snorrason, former Chief Statistician of Iceland and UNSD senior consultant
Gabriel Gamez, Inter-regional Advisor at UNSD, will moderate the Webinar
The event targets chief statisticians and managers of national and international statistical organisations. Still, it is open to the broader participation of producers and users of statistics and data at the country, regional and global levels.
Description: Beginning in 2024, the economic directorate of the U.S. Census Bureau will introduce the Annual Integrated Economic Survey (AIES), an economy wide survey that replaces a suite of six independently designed ongoing surveys. The AIES sample design requirements are informed by the user community’s longstanding data needs (e.g., national and sub-national tabulations), as well as by extensive respondent research on collection. This paper provides an end-to-end high-level overview of the AIES probability sampling design, including determination of the sampling unit, computation of unit-level inclusion probabilities for the implement probability proportional to size sampling, stratification, allocation, and sample selection and validation. Throughout, I selectively highlight specific challenges of developing a multi-purpose business survey whose collection covers a wide range of economic sectors.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Geospatial information methodologies and technologies are increasingly used for population and housing censuses, from planning and updating cartography, to enumeration, to dissemination of census information, including their visualization by geographic location on thematic/interactive/smart/story maps. The 3-hour course will demonstrate the importance and benefits of the use of geospatial information, and guide the participants, step-by-step, how to choose, appropriate with their national conditions and needs, the best advanced geospatial information technology in support of all stages of a Population & Housing Census process and beyond. All this illustrated by good practices and demos!
Target Audience: Main Target: Census Geographers/Cartographers Others: Census Managers, Statisticians.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the Bank for International Settlements, and the European Central Bank, published in May 2015. The course covers definition and features of securities, securitization, and related operation; valuation and recording of securities; classification schemes and presentation tables for securities; and security-by-security databases. A practical exercise on valuation and recording of different types of debt securities complements the lectures.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: The annual Global Health Expenditure Report will showcase health spending for over 190 countries from 2000-2020. The report will feature early analyses on COVID-19 spending as well as a look into social protection spending. The report launch will coincide with updated data on the Global Health Expenditure Database.
Description: In 2020, UNODC, ESCAP, UNCTAD, UNODC ROSEAP, inaugurated a new Development Account project called “Statistics and data for measuring illicit financial flows in the Asia-Pacific region”. The project aimed at consolidating existing and testing new methodological guidelines for the measurement of Indicator 16.4.1 “Total value of inward and outward illicit financial flows (IFFs)”, as well as to build and strengthen statistical capacity by providing technical assistance and guidance to pilot countries for the measurement of such indicator. An UNCTAD/UNODC Conceptual Framework for the Statistical Measurement of Illicit Financial Flows was published in October 2020, and in June 2021, UNCTAD published Methodological Guidelines to Measure Tax and Commercial IFFs for pilot testing, while UNODC is measuring crime related IFFs. Pilot testing has been ongoing in 2021-2022 of the UNCTAD Guidelines in two countries, namely, Kyrgyzstan and Uzbekistan, and crime related IFFs were tested in Viet Nam, Bangladesh, Maldives, Nepal by UNODC. A hybrid final workshop of the project is being organized to discuss the implementation of activities IFFs in the six Asian countries. The meeting objectives are: * Report on improved statistical capacity to measure illicit financial flows; * Report the estimates of the illicit financial flows; * Share experiences and best practices among the pilot countries within the region; * Facilitate continuation of measurement by national statistical offices and national agencies; * Disseminate testing guidelines (both crime-related and tax and commercial) which were updated as a result of this pilot testing round; * Discuss future work, interregional cooperation, and policy implications for measuring illicit financial flows
Description: Model-based small area estimation approaches are in great demand by institutions interested in reliable statistics at disaggregated levels. Such tools overcome estimation challenges using small or incomplete survey data, in part, by combining data from multiple sources. The course starts with an overview of important small area estimation concepts. Area-level models are the main focus of the course, as proven to be of great practical use. Hierarchical Bayes inference is adopted. Software programs are provided for the model fit, validation, prediction, and comparison, with model specification scrips in R STAN. Illustrations use public-use data from the U.S. Census Bureau, for state-level poverty rate estimation research. Learning outcomes to be covered Learn how to conduct area-level model-based small area estimation analyses using freely available software.
Target Audience: The course is intended for statisticians interested in hierarchical Bayes model-based small area estimation.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This activity focuses on presenting the R library “Calidad”, a set of methodological tools to assess the quality of an estimate towards objective criteria of the estimate’s reliability in complex household surveys.
Description: Satisfaction of local residents is considered one of the key factors for sustainable tourism development. Many residents either work directly in the tourism value chain or benefit from it indirectly, while many others only passively experience the impacts of tourism, whether positive or negative. Therefore, monitoring local satisfaction is key to long-term sustainable development and helps tourism policy makers and planners to effectively use tourism resources and identify potential problems and conflicts in a timely manner. This INSTO Insights webinar will discuss the experiences and insights of INSTO members and experts on measuring the satisfaction level of local residents toward sustainable tourism development, especially from the residents´ perspective on socio-cultural, economic, and environmental developments. Experiences will be shared on various methodologies, such as the use of questionnaires and surveys, including the presentation of indicators such as the Tourism Intensity Index. The implications of these monitoring efforts in terms of informing policies and strategies will also be discussed in more details.
Description: The webinar is organized by the International Statistical Literacy Project (ISLP), a project that aims to advance statistical literacy worldwide. The webinar is based on the SJIAOS special stream on Statistical and Data Literacy in Policy-Making (Vol 38, No. 2, 2022). As the publication did, the webinar offers conceptual reflections on statistical and data literacy in policy-making. In their presentations, the contributing authors reflect on the relevance of the use of statistics and data in politics and highlight the impact of both on policy-making. They underline the need for statistical and data literacy in policy-making and identify key elements of it. They also elaborate on how statistical and data literacy in policy-making is specific. The individual contributions to the SJIAOS special stream originate from the ISI World Statistics Congress 2021 Invited Paper Session on ‘Statistical and Data Literacy in Policy-Making’.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The Workshop will train participants from national statistical offices on quality assurance and its implementation throughout the national statistical system and support the development of additional guidelines on quality assurance. The Workshop will provide an overview of the contents of the Manual and the UN National Quality Assurance Framework, review and discuss the implementation of quality assurance in participating countries and discuss quality assurance in the case when new and administrative data sources are being used. The sharing of experiences will also support the development of further implementation guidance.
Description: We are cordially inviting you to submit papers to and attend the International Conference The Use of R in Official Statistics – uRos2022 until 16th of September 2022. There will be two kind of presentations: “regular presentations” with roughly 15 minutes time slots and “lighting presentations” with 5 minutes time slots and automatic cycling through the slides. Please indicate your preference, but the scientific committee will finally assign the presentations into the two categories. The purpose of the conference is to provide a public forum for researchers from academia and institutes of official (government) statistics to present, exchange ideas and discuss developments in state-of-the-art statistical software commonly used in applied economics and statistics. The most focused debates are expected to be on the use of R in Official Statistics. In 2022, we are delighted to announce that the 10th uRos, the first non-European uRos, will be hosted by Statistics Canada, as a virtual event.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policymaking which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policymaking. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The United Nations Regional Workshop on the 2020 World Programme for Population and Housing Censuses for Arabic-speaking Countries is organized by UNSD in collaboration with the UNFPA Arab States Regional Office, the United Nations Economic Commission for Central and Western Asia (ESCWA), and the Arab Institute for Training and Research on Statistics (AITRS). The workshop aims to help Arabic-speaking countries in achieving a common and enhanced understanding of international recommendations and standards on quality assurance in population and housing censuses, the impact, and challenges of conducting a population and housing census during the COVID-19 pandemic and other crisis situations, and the necessary preconditions and the challenges of transitioning to a registers-based census. The workshop will also provide a platform to discuss the experience, challenges, and good practices available among Arabic-speaking countries in census-taking during the 2020 census round. The Workshop will bring together census managers and experts from national statistical offices, census agencies, international and regional organizations to exchange views and experience on the three interrelated themes of the workshop. The workshop will be held in English. Simultaneous interpretation in Arabic and vice-versa will be provided.
Description: This course, presented by the IMF Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering advanced methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in the compilation of more advanced parts of the accounting structure including supply and use tables, input-output tables, satellite accounts, labor and productivity statistics, and advanced price and volume topics. The course starts with review of the sequence of accounts with a focus on how these accounts can be extended to address specific user needs. The main lectures and workshops include: * Supply and use tables. * Input-Output Tables. * Trade in Value Added. * Satellite Accounts. * Labor and Productivity Statistics. * Advanced topics in price and volume measurement. * Emphasis is also placed on sharing country experiences among the participants.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts statistics.
Description: On 2 December, the Statistics Technical Network will organize a webinar on the fundamentals of Deep Learning, where FAO colleagues from the Statistics Division will present the benefits of fast.ai. WHEN | Friday, 2 December 2022, 14:00-15:00 Rome time | REGISTER HERE Nowadays neural networks are widely used in a wide range of applications. In some areas, such as Computer Vision (CV) and Natural Language Processing (NLP), this new technology has outperformed previous state-of-the-art models. The FAO Data Lab is using neural networks to tackle real-world problems on daily data (such as classification of tweets and images) by exploiting fast.ai, a Python library built on top of PyTorch. fast.ai allows to build neural nets from scratch, tailored to the project's purposes, in a few hours with a perfect combination of model customization and speed (to create, train and deploy models). In this webinar, we will explore the potential of this library showing a couple of case scenarios, in the field of NLP and CV, that can be solved with fast.ai. The aim of this presentation is to share our approach to any potential user and provide suggestions about solving tasks that could be problematic with other standard methods by using this off-the-shelf and powerful tool. Introduction Carola Fabi, Senior Statistician, FAO Statistics Division Presenter Gianfausto Bottini, Data Scientist, FAO Data Lab For more information about the FAO Data Lab, please visit: https://www.fao.org/datalab/website/web/home
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Nowcasting refers to the practice of using recently published data to update key economic indicators that are published with a significant lag, such as real GDP. The aim of this course is to familiarize participants with cutting-edge nowcasting tools that facilitate the use mixed-frequency data in regression models. The course begins by establishing the importance of nowcasting for more timely and appropriate policy formulation during crisis periods such as the GFC or COVID-19. It then reviews the standard nowcasting regression-based procedures available, including the BRIDGE, MIDAS, and U-MIDAS estimators, both with and without dynamic factors. The course also reviews the more general state-space/Kalman filter approach to formulating and estimating a nowcasting model with mixed-frequency data. Procedures for combining nowcasts from the distinct models are considered, along with statistical procedures for evaluating the accuracy of a sequence of nowcasts. Each topic is complemented by a hands-on workshops and assignment using country-specific data using the EViews econometric package. The workshops and assignments are an integral component of the course designed to illuminate the actual steps required to generate a nowcast.
Description: While the BigData-native statistical community is growing larger, sampling statisticians seem to grow divided between enthusiastic and worried. Is BigData also a big step ahead to extract trustful information and actual knowledge from data? Is BigData underplaying sampling theory? Supplanting it as a low-cost futuristic option? In this webinar I shall try and decipher the multifaceted relationship connecting BigData and Sampling methodology, starting with the blurry definition of BigData, discussing the non-probabilistic data generating mechanism, passing through different kind of data, of application contexts and goals, to end with some very personal considerations and views.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This webinar will discuss efforts by the UN system to develop complementary indicators to gauge dimensions of progress that are not sufficiently covered by the purely economic measurement of gross domestic product (GDP). As an introduction a brief history of GDP will be presented, showing why it has been a great success story of the United Nations as well as what GDP is and what it is not (and was never meant to be). This will be followed by a reflection on the uses of GDP and the need to develop measures “beyond” the purely economic sphere. The presentation will be completed by a description of what the UN Statistical Commission is doing in its current efforts to revise the System of National Accounts by 2025 and an explanation of how that work can and will solve some, but not all, of the current challenges. Further complementary measures are needed and, in a recent report, the UN system has presented some proposals on how such measures can be developed.
Source: Eurostat (Data extracted on: 26 Oct 2021 )
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Organizer(s): Eurostat
Description: To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Statisticians dealing with compilation of annual energy statistics – advanced users of energy statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: This course shall democratize the accessibility of privately held data and valorisation thereof Get to know the techniques and tools to access privately held data Understand the stages of data valorisation pipelines Familiarize with the European Data Strategy and Digital Strategy Experiment with webscraping and API interfacing techniques Gain hands-on experience with data mining techniques from privately held data sources
Target Audience: Official Statisticians wishing to develop a toolbox for data acquisition with respect to privately held data at national level.
Description: Concept National Statistics Offices (NSOs) are facing ever-growing demands for timely and quality official data and statistics due to rapid technological developments and COVID-19. To meet these demands, NSOs are exploring other non-traditional sources of data, but at the same time, they need to maintain data quality, ethics, and privacy protection standards that align with the UN Fundamental Principles of Official Statistics. In pursuing this goal, they face several new challenges including building partnerships with private data holders, investing in new infrastructures and human resources, and updating data governance arrangements. The UN Statistical Commission recognized the needs to address these challenges and established the UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD) at its 45th session to facilitate coordinated efforts and explore innovative solutions. UN-CEBD has eight Tasks Teams including the Task Team on Big Data which is responsible for investigating the benefits and challenges of using big data for monitoring and reporting on SDGs. UN-CEBD arranges annual International Conferences on Big Data and Data Science for Official Statistics and the latest Conference was held in Yogyakarta from 7th to 11th November 2022 with the theme of Global Challenges and the Importance of Relevant and Timely Data. Workshops on Earth Observation Data, AIS, Cell Phone Data, Data Scanner, Machine-Learning and Privacy-Preserving Techniques and UN Big Data and UN PET Lab hackathons also accompanied the main Conference. The Conference generated insightful discussions, and this ESCAP Stats Café aimed to share the key takeaways and ways forward with relevant stakeholders in Asia and the Pacific region. The session started with opening remarks from Ms Rachael Beaven—Director of Statistics Division, ESCAP—and Mr Ronald Jansen—Assistant Director of UN Statistics Division, DESA, UNSD. Following the showcase, a video highlights activities from the Conference. Speakers from NSOs and UNFCCC who attended the Conference and UN Big Data Hackathon also shared their experiences, lessons learned, and inputs on ways forward. Lastly, the ESCAP’s big data guide on "Using big data for official statistics: Key considerations when using mobile phone data" was disseminated. , Stats Café Home: Upcoming events Concluded events
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing weights and sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: * Calculating elementary and upper-level indexes. * Methods for handling temporarily and permanently missing prices. * Introducing new outlets, items, and varieties. * Adjusting prices for quality changes. * Chaining and linking indexes with updated weighting structures. * Meeting data users’ needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs).
Architecture, Methodology and Quality - an Overview
23 Nov 2022 – 23 Nov 2022
Source: Eurostat (Data extracted on: 10 Jan 2023 )
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Organizer(s): Eurostat
Description: The webinar took place on 23 November 2022 and provided the first insights into essential quality aspects of web data and methodological solutions for some quality issues. It looked at the architectural framework BREAL, with the main benefits and the challenges of analysing web data. The webinar also delivered an overview of the following: The web data pipeline and related official statistical standards Main architectural components of a modern data platform Web data-specific quality aspects Important methodological tasks
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The training course will introduce the theoretical and practical know-how of TSA compilation and will position TSA vis-à-vis primary tourism statistics. The main compilation challenges for each TSA table (with a focus on core tables 1 to 7) will be discussed, with the aim of improving the international comparability through maximising the use of existing harmonised European statistics. The final goal of the course is to prepare participants to embark on the production of TSA at national level or to improve the existing TSA and to better align national TSA to the international recommendations.
Target Audience: Staff of national statistical authorities involved in the production process of tourism statistics, national accounts or (tourism) satellite accounts, who want to acquire a good understanding of the macro-economic measurement of the tourism sector, in particular the tourism satellite accounting framework (TSA), with the objective to develop or improve TSA in their country. The training is targeted at experienced as well as novice or future TSA compilers with the aim of spreading/exchanging the know-how and best practices within and between the different levels of expertise.
Description: The Statistics Division and the Subregional Headquarters for the Caribbean of the United Nations Economic Commission for Latin America and the Caribbean (ECLAC), in collaboration with United Nations Statistics Division (UNSD), the Caribbean Community (CARICOM) Secretariat and the Organisation of Eastern Caribbean States (OECS) Commission, have been working together over the past year and a half at the country level to strengthen institutional and statistical capacities of selected Caribbean countries to better produce, disseminate and use environment, climate change and disaster indicators. Work at the country level has helped in identifying coordination and data sharing as the most critical areas where exchange of knowledge and experiences and peer learning at the regional level bring the most value for countries. Therefore, as part of the Development Account 12th Tranche (DA12) project on Caribbean SIDS relevant climate change and disasters indicators for evidence-based policies, a regional workshop is being organized to facilitate exchange of ideas and peer learning among project beneficiary and non-beneficiary countries.
Machine Learning for Official Statistics
and SDG Indicators
21 Nov 2022 – 15 Jan 2023
Source: ESCAP SIAP (Data extracted on: 31 Oct 2022 )
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Organizer(s): ESCAP SIAP ADB
Description: The course is designed for personnel working in the field of statisticswhose main responsibilities include data analysis of SDG indicators and related statistics with a specific target on data scientists from NSOs with an experience in both statistical modelling (regression analysispredictionclassification...) and with programming or algorithmic skills. Although no programming will be required to follow and succeed in the coursethe pedagogical materials include R codein the form of reproducible markdown notebooksas well as some Python resources and code.
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Labour statistics for data officers within the UN offices
Description: The aim of the course is to better equip data officers within the UN offices regarding the new SDG statistical monitoring system. The course is designed to enhance capacities for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. It also emphasizes the latest ICLS Resolutions on the statistics of work relationships as an important pillar for measuring progress towards the 2030 Global Agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: Data officers within the UN offices.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: This course shall democratize the accessibility of privately held data and valorisation thereof Get to know the techniques and tools to access privately held data Understand the stages of data valorisation pipelines Familiarize with the European Data Strategy and Digital Strategy Experiment with webscraping and API interfacing techniques Gain hands-on experience with data mining techniques from privately held data sources
Target Audience: Official Statisticians wishing to develop a toolbox for data acquisition with respect to privately held data at national level.
Description: It is standard practice in official statistics to seasonally adjust monthly and quarterly time series using the methods recommended in the ESS guidelines on seasonal adjustment. The COVID-19 pandemic accelerated demand for official statistics time series data to be published at a higher frequency than the more usual monthly or quarterly periodicity of indicators. There are well developed software for the seasonal adjustment of monthly and quarterly data, such as JDemetra+ and X-13ARIMA-SEATS, but neither of these are currently designed to handle daily or weekly series. The aim of this short course is cover both the standard approach to monthly and quarterly seasonal adjustment but to also introduce participants to some of the experimental methods for seasonally adjusting higher frequency time series . We present examples of published experimental weekly and daily time series and discuss some of the challenges in seasonally adjusting these series. Participants will also be introduced to the concept of seasonal adjustment in official statistics and cover the challenges of seasonally adjusting not just monthly and quarterly data, but also a focus on recent techniques and methods for weekly and daily data, and examples of how this has been achieved in practice. Learning outcomes to be covered: What is seasonal adjustment and why do we do it? Seasonal adjustment standard practice in official statistics for monthly and quarterly time series Demonstration of applying methods and software techniques for higher frequency time series (weekly and daily data examples) Examples of experimental high frequency seasonally adjusted outputs at the Office for National Statistics
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: About the session The Asia-Pacific region is prone to various disasters every year and the aftermath of these disasters tend to be a huge cost to economies/ countries and individual households. It is quite common to hear of economic losses or financial losses because of these disasters. Similarly, crude estimates of loss to gross domestic product (GDP) are cited as some of the effects of disasters. National statistical agencies have not been on fore front of measuring losses from disasters in the Asia-Pacific though they have made strides to produce disaster related statistics. Other statistical systems are simply in the process of setting up systems to compile disaster related statistics. Disaster management agencies have been on the forefront to measure potential economic losses from disasters. This Stats Café will discuss issues relating to how economic losses from disasters. It will provide a forum to share experiences on how economic losses are measured. Furthermore, it will highlight specific case studies on measuring economic losses based on conceptual frameworks for economic losses from disasters. Speakers Lutfi Alfia, Statistician, BPS Indonesia: Disaster related statistics in Indonesia Daniel Clarke, Researcher, Statistics and Data Directorate, OECD: Concepts of measuring economic losses from disasters Alper Aras, Economic Affairs, United Nations Office of Disaster Risk Reduction (UNDRR): Concepts and case studies on economic losses from disasters , Stats Café Home: Upcoming events Concluded events in 2022 2021 events 2020 events
Description: This course on applied econometrics, has been prepared as an integration of mathematical economics and statistical methods with an objective of extracting the stochastic relationship among variables and their modelling. Learning outcomes to be covered The learning outcomes will be To get the knowledge of Linear and nonlinear modelling How to improve the estimation of regression coefficients by various restrictions. Knowledge of Restricted least squares estimation, Generalized and Weighted Least Squares Estimation. Knowledge about the difference between disturbances and measurement errors: Indicator variables versus quantitative explanatory variable Tests for Structural Change and Stability
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The authors of the book 'Mixed-Mode Official Surveys - Design and analysis will present their analysis on this topic through both theoretical discussions and practical examples based on the Netherlands National Statistical Office (NSO), addressing the main concepts, the challenges, and future developments. Mr. Ferreira, from INE Uruguay, will share the NSO experience on implementing mixed-mode official surveys. Gathering different perspectives, speakers will highlight benefits, drawbacks, and trade-offs in different scenarios. The experience of countries implementing mixed-mode official surveys could benefit other countries willing to experiment with mixed-mode surveys. Mr. Solly Molayi, from Statistics South Africa, will be the main discussant of the session.
Description: The 10th Statistical Forum of the International Monetary Fund will take place virtually and in person in Washington, D.C. during November 16 to 17, 2022. The Forum is a platform for policymakers, researchers, the private sector, regulators, and compilers of economic and financial data to come together to discuss cutting edge issues in macroeconomic and financial statistics and to build support for statistical improvements. The theme of this year’s Statistical Forum is Measuring the Tangible Benefits of Intangible Capital. In our increasingly dematerialized world intangible assets are transforming economies and driving growth. As a result, an increasing share of output, jobs, income and wealth is associated with firms where traditional tangible assets have been crowded out by intangible assets, such as marketing assets, data, and organizational capital. Yet conventional business accounting and macroeconomic accounting methods have lagged behind in valuing these forms of capital. Furthermore, the mobility of intangible assets and firms’ strategies to take advantage of worldwide tax minimization while maximizing overall profits implies growing tension between the nature and location of economic activity and its measurement system. The aim of the 10th IMF Statistical Forum is to explore how we can better measure intangible capital to better support investment policy, taxation policy and macroeconomic analysis.
Description: Trade in services is gaining importance globally and it is important for countries to be able to benefit from that growth. Services can provide the basis for a more sustainable and diversified economy offering employment to many. However, services are intangible and difficult to measure which weakens the information basis for trade policy and negotiations. On request by the West African Economic and Monetary Union (WAEMU, in French UEMOA), UNCTAD has developed a Trade in Services Statistics (TiSSTAT) information system to facilitate the collection and processing of statistics on international trade in services. The project has also developed survey methods and tools and WAEMU member states have collected data on trade in services with the support of the project. The new information system is now installed in the countries. To this end, UNCTAD is organizing in close collaboration with the WAEMU Commission, from 15 to 18 November 2022 in Cotonou, Benin, a regional training workshop on the TiSSTAT application for the WAEMU member states and the Commission. The workshop will discuss feedback and test the different functionalities of the system with countries’ experts.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Description: This webinar will present a roadmap for national quality assurance framework (NQAF) implementation. In recent years many countries have developed and adopted a national quality assurance framework (NQAF) for their official statistics. In order to support countries in the implementation, the Expert Group on National Quality Assurance Frameworks developed a Roadmap for NQAF implementation. The "Roadmap" summarizes good implementation practices in the form of a step-by-step process. The webinar will provide a basic introduction to quality assurance for official statistics.
Description: This course aims to enhance national capacities to produce and collect data on informal employment and categories of informal workers as part of the diagnostic phase of the above intervention model. The course also aims to promote the collection of data on the number of entrepreneurs and economic units in the informal economy, and their characteristics, as an integral part of national labour statistics, following R.204 guidelines on promoting formalization at national level.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Target Audience: Administrative officers; Assistant record management officers; Record management officers and Implementers at all levels of record management.
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Expert Seminar on The Role of Official Statistics in Monitoring and Evaluation of the Implementation of the Sustainable Development Goals in the Black Sea Region in the Context of the COVID-19 Crisis
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Banking, Insurance and Financial Statistics’ for the benefit of National Statistical Offices (NSOs) of French speaking OIC countries on 14-16 November 2022. Ms. Najet Abid, Deputy Director of Accounts of Financial Institutions (Banking and Insurance) at the National Institute of Statistics (INS) of Republic of Tunisia, will conduct the course and cover the following topics: Introduction to the financial sector in the National Accounting System, SNA 2008 Classification of the financial sector Introduction of the accounts of the different financial sub-sectors Central Bank account Financial intermediary services indirectly measured (FISIM) Method of calculation and distribution Introduction of the accounts of the different financial sub-sectors Insurance sector account Account of financial auxiliaries Financial accounts in the System of National Accounts 2008 Definition Nomenclature of institutional sectors. Introduction of the Financial Operations Table (FOT) Preparation of the financial account “From-whom-to-whom” matrices Synthesis Elaboration of the FOT The StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of the SESRIC. Within its framework, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB questionnaire, assesses their needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provide countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: This course will cover the tightly related topics of workspace organization in R and RStudio, writing dynamic reproducible reports, and version control of the entire project. The first half of the course will introduce RStudio projects for efficient organization and keeping track of project-related files. The main goal of this session is to introduce the functionality of RMarkdown and knitr for dynamic report generation. Participants will learn how to prepare reproducible statistical reports that can be easily updated as the input data change, adopting the practices of soft coding for efficient reusing of code in different projects. The second half of the course will cover the topic of version control using Git system collaboration on a project using GitHub, and contributing to a third-party project on GitHub. Participants will learn about efficient ways to keep track of their code and efficiently communicate or suggest changes to the code. Learning outcomes to be covered After taking this course, the participants will be able to 1. Organize project directories for efficient management of data, code, related outputs, and documentation. 2. Produce dynamic and reproducible reports by incorporating R code and outputs into text. 3. Implement the Git version control system for their projects and use related capabilities on GitHub.
Target Audience: All beginner and intermediate R programmers.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics.
Description: The United Nations Privacy-Enhancing Technologies Lab, known as the PET Lab, will be running a third hackathon stream for the first time this year. The PET stream will take the form of a typical data science competition, such as those on the Kaggle or DrivenData platforms, but with one special new characteristic: participants will interact with training data only via privacy-enhancing technologies. For more information, check the UN PET Lab Hackathon page.
Description: During this short course, the participant will have an opportunity to learn the basics of cluster analysis, one of the most popular data mining methods for the discovery of patterns in different types of data. Besides this, the course will have a strong hands-on component, as the participants will learn how to conduct a cluster analysis using the R programming language. The course will first cover some aspects of statistical learning and position the unsupervised learning, to which clustering belongs. Afterwards, the basic outline of the principals of clustering with examples would be given. The following aspects covered are algorithms of hierarchical clustering (AGNES, DIANA) and partitional clustering (k-means, k-medoids, CLARA). Finally, advanced techniques used to identify certain practical challenges with cluster analysis, such as the selection of the optimal number of clusters and the validation of cluster analysis results will be elaborated upon. All algorithms and additional tests introduced will be performed in R programming language through case studies.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants engaged in statistical, technical and other analytical training, presentations, consulting and facilitating group discussions with enhanced levels of competence and the expertise required to be effective in understanding and managing groups and individuals. It provides excellent insights into ‘statistical consulting’ which is frequently part of the statistical trainers’ role.
Target Audience: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Provide an overview of the key concepts of SEEA ecosystem accounting Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ environmental and national accounting Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of ecosystem accounting.
Description: This webinar will focus on traditional and emerging sources of data for transportation analysis. These include Household Travel Survey, Time Use Survey, Stated Preference Methods, and Bigdata from probe vehicle and GPS trajectories. The main transportation system performance indicators will be introduced and methods for large scale transportation models briefly described. A Statewide microsimulation model that combines land use, transportation choices, and agent-based transport simulation will be illustrated. Finally, these tools will be demonstrated in the context of transportation and equity, the case study evaluates the effects of complete streets on the willingness to walk and bike under different levels of traffic stress.
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘Implementation of National Quality Assurance Framework (NQAF) for Official Statistics’ on 8 November 2022, in collaboration with the United Nations Statistics Division (UNSD) and the United Nations Economic Commission for Europe (UNECE) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC member countries. The main objective of this webinar is to provide a platform to exchange knowledge on how to implement NQAF and assess the data quality using Generic Statistical Business Process Model (GSBPM) in national statistical systems of OIC member countries including discussions about the challenges faced and lessons learnt by all stakeholders. The Webinar will cover: Quality assurance for official statistics Principles and requirements of UN NQAF Recommendations and guidance: UN NQAF Manual Development and implementation of a NQAF Using the GSBPM for data quality assessment and improvement Document: Concept Note and Work Programme (English)
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policymaking which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policymaking. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This two-week intermediate regional course on balance of payments and IIP statistics targets compilers with some experience in compilation of balance of payments and/or IIP. The course will focus on more complex methodological issues than the previous balance of payments/IIP standard courses. It aims at providing a deep understanding of the concepts, data sources, and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants' familiarity with the basic concepts. Therefore, it is highly recommended to complete the balance of payments/IIP online course (OL21.139) to review or learn the balance of payments/IIP basic concepts. The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants can discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice, and to demonstrate the analytical uses of ESS.
Description: This series of webinar provides a general introduction to Bayesian modeling with a particular focus on regression and multilevel models. The use of the system R in Bayesian computation is described, including the programming of the Bayesian model and the use of different R tools to summarize the posterior. Special focus will be on the application of Markov chain Monte Carlo (MCMC) algorithms and diagnostic methods to assess convergence of the algorithms. The LearnBayes and rethinking R packages are used to illustrate MCMC fitting by the use of Gibbs sampling and Metropolis algorithms. Larger Bayesian models will be fit using JAGS and Stan and the accompanying runjags and rstan packages. Part 1 (2 hours): Introduction to Bayesian Inference. Basic tenets of Bayesian thinking including construction of priors, summarization of the posterior to perform inferences, and the use of prediction distributions for prediction and model checking. Part 2 (2 hours): Bayesian Regression. Implementation of Bayesian thinking for regression models for continuous and categorical response data. Part 3 (2 hours): Bayesian Multilevel Modeling. Introduction to multilevel models as a flexible way of modeling regressions over groups.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: At this moment the world faces many global challenges related to environment, climate change, health, food insecurity, economic recovery or human displacement. To take appropriate action, governments have to understand and monitor the existing situation and therefore need relevant and timely data. The statistical community is tasked to deliver these data, in particular also data on the Sustainable Development Goals. Emerging issues require timely and flexible production of indicators often in collaboration with strategic partners from public and private sector as well as academia. The Big Data Conference, which will take place from 7 till 11 November 2022 in Yogyakarta, Indonesia, will focus on the use of new data sources and use of data science in dialogues with decision makers and experts from all stakeholder communities. It will also include the 2022 Big Data Hackathon.
Description: This course, conducted by the IMF Statistics Department, presents a user-friendly tool developed by the department to automatically combine monetary, government, and balance of payment data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis—an extremely useful tool for macro-financial analysis. Once the matrix is generated, country officials should be able to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement. This course is an abbreviated version of the longer, BSA course traditionally offered by STA in-person.
Target Audience: Officials at central banks, ministries of finance and other agencies in charge of compiling monetary and financial statistics, government finance/debt statistics, and external sector statistics; and/or overseeing macro-financial analysis.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat CZSO Czechia
Description: To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Statisticians dealing with compilation of annual energy statistics – advanced users of energy statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Target Audience: Administrative officers; Assistant record management officers; Record management officers and Implementers at all levels of record management.
Description: Official statistics are based on a set of principles that ensure that they are impartial, relevant, and accurate and can be relied upon as a public good by all users. This 30th Anniversary provides an opportunity to discuss the past, present, and future of the Fundamental Principles of Official Statistics and their relevance in the context of a rapidly changing data landscape.
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). The course covers basic concepts, definitions, and classifications, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the EDS. Finally, participants are briefed on basic concepts of the debt sustainability analysis framework.
Description: The United Nations Statistics Division and the National Bureau of Statistics of China (NBS) are jointly organizing an international seminar on Measuring Shared Prosperity and Inclusion: Challenges and Innovative Approaches, 2-4 November 2022. The meeting aims to provide a platform for exchange of experiences in bringing innovations into the measurement of poverty and prosperity.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Provide an introduction to cartographic design principles for statistical map design. Introduce basic and advanced cartographic representation methods with practical examples on statistical data. Provide guidelines for creating maps for online publication and for printout.
Target Audience: Statisticians working in the field of Earth observation, geographic information systems and statistics, who would like to gain knowledge and practical skills on using cartographic representation methods to visualize statitiscal data.
Title in Spanish: Taller técnico del Proyecto Sistema Registros Estadísticos para la explotación de datos administrativos en los institutos nacionales de estadística (INE) de Bolivia, Chile, Colombia y Perú
Organizer(s): ECLAC DANE Colombia INE Bolivia INE Chile INEI Peru
Description: La agenda prevista para este taller aborda en primer lugar la socialización de los resultados obtenidos de la consultoría para la construcción metodológica de cada indicador de los ODS priorizado por los INE.
Source: World Bank (Data extracted on: 02 Nov 2022 )
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Organizer(s): World Bank UNSD
Description: 6th Policy Forum on Natural Capital Data for Better Decision Making: Financing for Nature The Policy Forum on Natural Capital is the signature annual event of the Global Program on Sustainability. Co-organized with the United Nations Statistics Division, the Forum aims to connect users—primarily the investment community and policy makers—with both data and analytics, and data providers, to share knowledge and experiences on incorporating natural capital accounting and approaches in decision making.
Description: The UN Statistics Division and Statistics Korea (National Statistical Office of the Republic of Korea) have co-organized every year an international seminar regarding important issues on the global statistical agenda since 2010. The seminar has covered a variety of social and economic issues from the perspective of statistics. For example, we have discussed the role of data and statistics in understanding open data and data disaggregation for reaching Sustainable Development Goals; and using big data for official statistics. As we recover from the COVID-19 pandemic, the significance of timely data using new data sources and data linkage has increased and it has provided us with new opportunities to the international statistical community for discussing the data stewardship and the data security issues.
Description: Official statistics with a gender perspective play a fundamental role in raising awareness and disseminating the different expressions of gender inequality in various areas of society; they also constitute a powerful instrument for decision-making based on high-quality, reliable evidence Join us next November 02 at 10:00 a.m. (EDT) to our discussion about the progress, challenges and status of the production, analysis and dissemination of official statistics with a gender perspective at a global and regional level.
Description: In 2014, the UN Fundamental Principles of Official Statistics (UN FPOS) were endorsed by the UN General Assembly. The Fundamental Principles set the framework for the fundamental values and principles that govern statistical work and recognize that in order to be effective, the fundamental values and principles that govern statistical work have to be guaranteed by legal and institutional frameworks and respected at all political levels and by all stakeholders in national statistical systems. However, globally issues of Misuse and declining Trust in official statistics have become more pronounced in recent years. In response to this the IAOS has recently established the Krakow Group. This group’s mandate includes helping to identify the main issues to be tackled in relation to misuse, governance, trust and ethics. Each region has specific challenges. In the case of the Arab region, including North Africa; the challenges of enhancing trust in official statistics and successfully implementing the UN FPOS, are exacerbated by the ongoing instability in different parts of the region. The IAOS has organised this webinar to help official statisticians in the region discuss some of the regional specific challenges in implementing the UN FPOS, in particular how statistical institutions maintain their independency especially in the time of instability.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): SESRIC DOSM Malaysia Economic Cooperation Organization
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘SDG 9 (Industry, Innovation, and Infrastructure) Indicators’ in collaboration with the Economic Cooperation Organization (ECO) for the benefit of National Statistical Offices (NSOs) of OIC countries on 1-3 November 2022. Ms. Syafawati Abdul Refai and Ms. Nur Atikah Binti Abdul Aziz, statisticians at the Department of Statistics Malaysia (DOSM), and Ms. Syuhada Asri, Director at the Malaysian Communications and Multimedia Commission (MCMC), will conduct the course and cover the following topics: Increase Access to Financial Services and Markets 9.3.1 – Proportion of small-scale industries in total industry value added 9.3.2 – Proportion of small-scale industries with a loan or line of credit Develop Sustainable, Resilient and Inclusive Infrastructures 9.1.1 – Proportion of the rural population who live within 2 km of an all-season road 9.1.2 – Passenger and freight volumes, by mode of transport Facilitate Sustainable Infrastructure Development for Developing Countries 9.a.1 – Total official international support Universal Access to Information and Communications Technology 9.c.1 – Proportion of population covered by a mobile network, by technology Enhance Research and Upgrade Industrial Technologies 9.5.1 – Research and development expenditure as a proportion of GDP Inclusive and Sustainable Industrialization 9.2.1 – Manufacturing value added as a proportion of GDP and per capita 9.2.2 – Manufacturing employment as a proportion of total employment The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: You have created a survey and collected data, but you do not know how to analyze that data and come to the appropriate conclusions? The course “Introduction to survey analysis in SPSS” was created to show you how to use statistical software SPSS to properly analyze the data obtained through the survey and draw certain conclusions. In the course, through theoretical and practical examples, you will learn how to enter and prepare data for processing, descriptive statistics and other statistical techniques. Learning outcomes to be covered Participants will learn how to input data in SPSS, edit variables (recoding and calculating new variable), save and export output, summary statistics and plots, test for normality, comparing means (t-test, Mann-Whitney U) and chi-square test.
Target Audience: Master and PhD students, and researchers who are familiar with statistical analysis and have a theoretical background in statistics but did not use SPSS software for data analysis.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: For this Global Network Webinar we are pleased to have Marko Javorsek and Bram Edens from UNSD’s Environmental and Economic Accounts Section who will introduce the concepts and definitions of the SEEA Ecosystem Accounting framework and provide a practical demonstration of the ARIES for SEEA tool. The adoption of the SEEA Ecosystem Accounting, as an international statistical standard, by the United Nations Statistical Commission at its session in March 2021 generated a lot of interest beyond the statistical community. It has been identified as an important statistical framework to support the monitoring and reporting to several environmental convention including the monitoring framework in support of the Post-2020 Global Biodiversity Framework, which will be adopted at the COP15 in December 2022, as well as other policy frameworks including climate change, land degradation and oceans. The United Nations Secretary-General called the adoption of the SEEA Ecosystem Accounting “a historic step towards transforming the way how we view and value nature. No longer will we allow mindless environmental destruction to be considered as economic progress” and in Our Common agenda, the agenda for action for the UN released in late 2021, he “urged countries to implement the SEEA Ecosystem Accounting.” Artificial Intelligence for Environment & Sustainability (ARIES), developed by researchers at the Basque Centre for Climate Change (BC3), is an integrated, open-source modelling platform for environmental sustainability, where researchers from across the globe can add their own data and models to web-based repositories. Using ARIES technology, the ARIES for SEEA Explorer application allows users anywhere in the world to produce rapid, standardized, scalable and customizable ecosystem accounts for their area of interest (such as a country, administrative region, or watershed) that are consistent with the SEEA Ecosystem Accounting framework. ARIES for SEEA is available on the UN Global Platform, a cloud-service platform supporting international collaboration in the development of official statistics using new data sources and innovative methods.
Description: The virtual workshop will consist of sixteen sessions held over four days, including presentations and knowledge sharing sessions. It will build awareness on the indicators that the Fund uses for surveillance and indicators presented on the Fund's Climate Change Indicator Dashboard. It will also outline the methods of compilation and use of key macro-relevant climate change indicators. The workshop comprises lectures, open discussions, and a concluding panel discussion. Apart from the countries covered by the SARTTAC, namely, Bangladesh, Bhutan, India, Maldives, Nepal and Sri Lanka, the workshop could also be attended by other APD countries.
Description: The aims of the course is build national capacities for the compilation of disaster-related statistics for enhancing disaster management and promoting risk-informed sustainable development in the countries. Also aims to facilitate national monitoring and reporting on the Sendai Framework for Disaster Risk Reduction and the 2030 Agenda for Sustainable Development.
Description: Background The CRVS Systems Improvement Framework (hereinafter to be referred to as the ‘Framework’) was developed by Vital Strategies, with the support of the Bloomberg Philanthropies Data for Health Initiative, in collaboration with ESCAP, ECA, WHO and other partners. The Framework builds upon previous efforts to develop practical tools (e.g., APAI-CRVS, World Health Organization and University of Queensland Comprehensive Assessment Tools), that countries can use to assess, develop strategies, and action plans and implement them for improving the coverage and efficiency of the system. The Framework is holistic in nature, with a process-centric, human rights and results-based approach for analysing and redesigning improved CRVS system performance and aligns with international principles and guidance. The modular design of the Framework allows for maximum flexibility in application. As many as 13 countries in Asia/Pacific and Africa region are at various stages of the Framework implementation. There are many lessons that have been learned from these countries related specifically to the processes and tools. The experiences have varied ranging from very positive to the need for improvements in the guidance provided in the Framework. Vital Strategies in collaboration with ESCAP and ECA have planned to take stock of all the lessons learned from the country implementation of the Framework and its applicability in the political, administrative, and legal context of these countries. This exercise is sought to be undertaken through a series of three workshops, one for countries in Asia and the Pacific, followed by the second workshop for African countries and the final being a global workshop that focuses on synthesizing the information from lesson learned from the country workshop and the experiences gained by the country coordinators and national/international consultants while providing technical assistance in implementing the Framework. Purpose/objective a) Share and discuss lessons learned on the implementation of the Framework, the usefulness of Business Process Improvement (BPI), and the improvements that the Framework has led to b) Discuss options for improvement of the Framework c) Discuss the expansion of the network of Framework’s users and further the understanding of the Framework
Description: The Office of the Chief Statistician of the Food and Agriculture Organization of the United Nations (FAO) organized a webinar to introduce the content and the potential use of the microdata...
IASS Webinar: Hukum Chandra prize 2022: Small area estimation: a novel approach on estimation of mean squared prediction error of small-area predictors
Description: The objective of the workshop is to build participants’ knowledge and skills in the use of register-based censuses to produce official statistics as an alternative to the traditional censuswhile also providing a platform for exchanging experiences and lessons learnt in transitioning to this approach.
Title in French: Appui à la mise en œuvre de la comptabilité en droits constatés et patrimoniale
Organizer(s): IMF AI Generated
Description: Les resultats attendus: • L'état d’avancement de la mise en œuvre des recommandations des précédentes missions est effectué ; • Un plan d’action pour la mise en place du dispositif de CIC est élaboré ; • Les capacités des cadres de la DGTCP sont renforcées sur la mise en place du CIC. A l'issue de la mission, les services de la DGTCP disposeront d'un plan d’action pour la mise en place du dispositif de CIC. Cette mission permettra également de renforcer les capacités des cadres de la DGTCP sur la méthodologie de mise en œuvre du CIC.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP SPC
Description: The main reason for this workshop is to bring representatives of National Statistical Offices (NSOs)National Statistical System (NSS) and Planning Departments made up of Line Ministries responsible for planning and policy making at the national level (Data Users) to discuss the challenges around Statistical Literacy and Capacity Development in the Pacific.
Description: The FAO webinar will showcase the Food Systems Dashboard - the first open-access platform that brings together global data across all components of the food system. The Dashboard is a...
Description: About the session The International Recommendations on Statelessness Statistics (IROSS) have been developed by the Expert Group on Refugee, IDP and Statelessness Statistics (EGRISS), and aims to help improve official statistics on stateless persons, a critically vulnerable population, in line with the global commitment to ‘Leave No One Behind’ as part of the 2030 Agenda for Sustainable Development. Following the progress report submitted to the 53rd Statistical Commission, the expert group has worked to address guidance received, particularly concerning the operationalization of the proposed statistical framework. Now, the expert group seeks feedback from national statistical offices and other relevant stakeholders to further strengthen the recommendations ahead of the 54th Statistical Commission in February-March 2023. In this regard, this session aimed to raise awareness of the recommendations, highlight the importance of the IROSS in efforts to improve the inclusion of stateless populations in national statistical systems and encourage countries to participate in the global consultation scheduled for 24 October - 21 November 2022. , Stats Café Home: Upcoming events Concluded events
Source: Eurostat (Data extracted on: 30 Jun 2022 )
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Organizer(s): Eurostat
Description: The objective of this course is to introduce participants to the practice of output checking for confidentiality risks. The course focuses on output that is generated by researchers from official microdata. In most cases researchers will have had access to microdata through the Research Data Centre of the data producer to produce the output. The participants will be invited to bring their own case studies for discussion in the training.
Target Audience: Staff members dealing with statistical confidentiality, especially staff in Research Data Centres or Safe Centres. The course is intended for staff checking output that was created by external researchers or output from varying statistical analyses created by colleagues in statistical offices. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): European Statistical Advisory Committee Eurostat European Central Bank Federation of European National Statistical Societies Sapienza - University of Rome, Italy Istat Italy Bank of Italy Società Italiana di Statistica
Description: The scope of the Conference is to enhance the dialogue between European methodologists, producers, and users of European Statistics identifying the requirements of the users (ESAC), the best practices of the production (EUROSTAT, ECB, ISTAT, Banca d’Italia), with innovative ways of official statistics production based on Statistics, Data Science and Artificial Intelligence, and based on new methodological ideas for collecting and analysing data (Accademia via FENStatS).
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: On 20 October, Eurostat organised a webinar to celebrate the European Statistics Day. A general overview of Eurostat was followed by the presentation of some of our products: Education corner which offers tools and resources to approach statistics in an easy way Euro indicators dashboard with all main economic indicators at a glance.
Description: The first training aimed to provide an introduction in using big data in official statistics. It is a part of the training series under the 'Using Big Data to Measure the Nexus between Environment and Gender in Asia and the Pacific" project to support the beneficiary countries to utilize big data for piloting the production of a sample of environment-gender indicators to assist the countries in improving the availability, inclusiveness, and sustainability of quality data and official statistics. , HOME - Project: measure the nexus between environment and gender Project countries: Cambodia Mongolia Resources Regional Events
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to offer an overview on the various necessary steps to compile a supply-and-use system and for the transformation of the resulting data in matrices, focusing on practical examples on how that compilation is made. The second objective is to provide an introduction into input-output analysis and to show how this technique may be used for structural analyses. In particular the course aims at illustrating in which fields input-output analysis can be used to address questions of high political relevance.
Target Audience: The course is targeted at ESS staff interested in the principles of compiling supply and use tables according to ESA2010 and in understanding the main concepts and the potentials of input-output analysis for empirical investigations of high political relevance; Sound command of English.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP Paris21
Description: The workshop is to explore the potential benefits and pitfallsas well as presenting a number of case studies from peers in the region to dive more deeply into specific contextual examples. Platform-specific experts will provide insights into how to communicate persuasively across TwitterFacebook and LinkedInand National Statistical Offices (NSOs) will have opportunities to share their own experiences and discuss best practices.
Description: The FAO webinar marked the release of the latest estimates of livestock’s GHG emissions from an updated version of the model and launch the GLEAM Dashboard, an interactive web platform...
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment To train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of revisions; To prepare and to motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending (new plug-ins) the tool.
Target Audience: Advanced users of seasonal adjustment methods involved in regular/massive data production and/or developers involved in the integration of SA methods in their IT environment wishing to enhance their knowledge of the JDEMETRA+ tool and/or using or potentially developing relative plug-ins. Ideal participants are either young statisticians with some interest in IT or young IT specialist with some interest in statistics. People currently using TRAMO/SEATS and/or X12 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version.
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policymaking which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policymaking. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: The Committee of Experts on Global Geospatial Information Management (UN-GGIM) will be convening the second United Nations World Geospatial Information Congress (UNWGIC) in Hyderabad, India from 10-14 October 2022. Hosted by the Government of India through its Ministry of Science and Technology, the convening of the UNWGIC arises out of the mandate from the United Nations Economic and Social Council (ECOSOC) to the Committee of Experts to convene global forums to promote comprehensive dialogue on global geospatial information management with all relevant governments, international organizations and stakeholders. The congress will be a truly global event bringing together all stakeholders at the highest level to address and ensure that geospatial information has its widest and fullest utility in service of sustainable social, economic and environmental development. With an overarching theme "Geo-Enabling the Global Village: No one should be left behind", the second UNWGIC will reflect the importance of integrated geospatial information to support sustainable development and the wellbeing of society, address environmental and climate challenges, embrace digital transformation and technological development, and catalyze vibrant economy. The congress addresses the development and strengthening of integrated geospatial information management, its capacities and capabilities, and demonstrates the importance of international cooperation and coordination for building a human data and geography community, against the three pillars of sustainable development, for a shared future and a better world, leaving no one behind within an inclusive and equitable global society. The UNWGIC will feature a high-level, plenary, special and parallel sessions. While the actual second UNWGIC program covers three days (11 - 13 October), the overall event will be a week long (10 - 14 October), and will include global and regional meetings, workshops and learning events, expert meetings and side events, including the eleventh plenary meeting of the Regional Committee of United Nations Global Geospatial Information Management for Asia and the Pacific (UN-GGIM-AP), as well as the annual meeting of the UN-GGIM Expanded Bureau.
Description: The workshop will focus on the compilation of SUTs to promote best practices and international standards for the SUT compilation and to strengthen the participants’ knowledge of SUT concepts and methods.
Description: This course, conducted by the IMF Statistics Department, deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and on the practical aspects of compiling public sector debt data. Basic concepts, accounting principles, and detailed classifications are discussed in the context of methodology harmonized with government finance statistics and the system of national accounts. The course examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics. It also deals with reporting debt data to the IMF and the World Bank. The course is organized around a series of case studies.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on 'Price Statistics' for the benefit of National Statistical Offices (NSOs) of Arabic speaking OIC countries on 10-12 October 2022 through an online video conferencing platform. Mr. Dergham OBEIDAT, Head of Price Statistics Department at the Department of Statistics (DOS) of Jordan, will conduct the course and cover the following topics: Introduction to price statistics Introduction to price indices Types of price indices How to build a price index How to choose the base year for building the price index Calculation of weights and the relative importance How to collect data from the field Uses of price indices The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Make the participants aware of what is involved in the acquisition of PHD for use in official statistics, including the European legal and policy background and what is needed for developing partnerships. The course should enable the participants to apply the acquired knowledge in roles such as developing policies concerning the acquisition and use of PHD and developing partnerships.
Target Audience: Staff from NSIs who are involved or wish to become involved in the acquisition of privately held data (PHD) as a source for official statistics. This engagement may come in different shapes, such as involvement at a legal or policy level, in negotiations with holders of PHD or stakeholders engagement.
Description: This course, conducted by the Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011), as well as on the practical aspects of public sector debt data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the methodology that is harmonized with the Government Finance Statistics Manual 2014 (GFSM 2014) and the System of National Accounts (SNA 2008). The course examines coverage and accounting rules of the public sector debt statistics framework, valuation, classification, selected methodological issues, and the sources and methods used for compiling the statistics. It also deals with debt data reporting to the IMF and World Bank. The course is organized around a series of case studies.
Target Audience: Public sector officials whose main responsibility is compiling and disseminating public sector debt statistics.
Description: Global Health Advocacy Incubator’s (GHAI) Data for Health Team, co-hosted a week of civil registration and vital statistics consultations in the Maldives with partners from Vital Strategies, Imagine Law and UNESCAP. The first two days of the workshop which were led by Imagine Law, focused on legal review and reform of the CRVS system, engaging CRVS stakeholders in discussions on a draft CRVS bill for Maldives. The remaining two days of the workshop focused on CRVS budget advocacy and leveraging domestic financing to support CRVS system strengthening. ESCAP also presented the results of the Business Process Improvement (BPI) work it supported in the Maldives, as a basis for informing focus areas for budget advocacy. The workshop engaged over 40 participants from the Department of National Registration, Ministry of Health, Ministry of Home Affairs, National Centre for Information Technology, Local Government Authority, and representatives from Atoll Councils.
Source: Eurostat (Data extracted on: 13 Apr 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Understand how to collect Web Data regarding Online Job Vacancies and store them Understand of data processing techniques Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling energy statistics and accountsincluding compilation of relevant SDG indicators. The topics covered include physical supply and use tablesasset accountsvaluation and data sources. Webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions. Following the completion of the course and depending on resource availabilityin-kind support will be provided to countries interested in the compilation of the energy accounts using tools that will be introduced and discussed during the course.
Description: This seminar will address the updating of the Manual of the National Accounts System, 2025 and the future of economic statistics. Topics of the current situation are raised, of the changing dynamics that have been generated in the measurement processes, the challenges faced to approach the new statistics and sources of information, as well as of the testing and experimentation mechanisms that are being proposing to countries
Description: The UNSD, Group of Experts on Geographical Names (UNGEGN) organized and staged the webinar Linked Open Data Developments – What’s in for UNGEGN and its Experts? on 30 September 2022. The webinar is the second in the UNGEGN webinar series, which generally seek to increase awareness on the use and benefits of geographical names standardization, and specifically focus on current topics relevant to advancing the implementation of UNGEGN’s Strategic Plan and Programme of Work 2021-2029. This webinar provided an overview on the most relevant challenges and opportunities associated with linked open data (LOD) development, particularly given that LOD is another stage in the evolution of data management methodologies which the UNGEGN community needs to consider, to facilitate widespread use of standardized geographical names. The webinar was attended by a global audience of over 100 persons, from national names authorities, national mapping agencies and universities. Mr. Pier-Giorgio Zaccheddu of the Federal Agency for Cartography and Geodesy in Germany, and Convenor of the UNGEGN Working Group on Geographical Names Data Management moderated the webinar. The Chair of UNGEGN, Pierre Jaillard, France and Director of UNSD, Stefan Schweinfest delivered opening remarks. The first presentation, delivered by Henrik Askjer, University of Bergen, Norway, briefly introduced LOD from a historical perspective, its main requirements (e.g., a definition of vocabularies, commonly agreed ontologies, etc.) and its potential in the context of disseminating geographical names data as LOD. This was followed by national LOD implementations cases from the Netherlands and Germany. The examples presented shared the benefits of LOD implementation, the methodology, architecture, and software that were used, in addition to the challenges experienced and solutions adopted. The closing presentation was delivered by Peder Gammeltoft, Scientific Manager, Norwegian Language Collections, University of Bergen, Norway and Chair of the UNGEGN Working Group on Publicity and Funding. He gave an overall summary of the challenges, opportunities and benefits of LOD. This was followed by a lively discussion session, which pointed to next steps which included the need for experts to work together to create vocabularies and ontologies.
Organizer(s): ECB Federal Reserve Bank of Cleveland United States
Description: The Center for Inflation Research at the Federal Reserve Bank of Cleveland and the European Central Bank invite you to attend the Inflation: Drivers and Dynamics 2022 conference to be held in Cleveland, Ohio, on 29-30 September 2022. The conference will bring together top researchers from academia, central banks and other policy institutions to present research findings related to inflation. Additional conference details will be distributed nearer the date.
Description: The High Level Seminar for European Neighbourhood Policy East and Central Asia Countries will focus on informing the senior management of the NSIs of the key issues and developments in the field of statistics, especially at the European and international level, as well as their impact on the work of these NSIs. This seminar will also provide an opportunity for the management of the NSIs of these regions to discuss issues of common interest and to network.
Source: Eurostat (Data extracted on: 30 Jun 2022 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge, as well as the methodological guidelines for the use of the Energy Balance Builder and SHARES tools in relation to the statistics collected within the European Union legal framework (Annex B of Regulation (EC) No 1099/2008 on energy statistics and Directive 2009/28/EC on the promotion of the use of energy from renewable sources). The main focus will be on methodology, concepts and definitions, calculation principles, data validation and discussions on these tools. Practical examples of the use of these tools will be also covered during the training. This course will also cover indicators built from energy balances and the methodological and conceptual problems that could arise from these indicators.
Target Audience: Statisticians dealing with the compilation of energy balances, the calculation of the share of energy from renewable sources as well as the analysis of energy data, wishing to understand better the system and overall framework of the energy statistics tools used for these purposes. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: ESCAP SIAP (Data extracted on: 29 Aug 2022 )
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Organizer(s): ESCAP SIAP UNSD ADB
Description: Statistical Business Registers (SBRs) are part of the statistical infrastructure and form the backbone for producing economic statistics that meet the increasing demand for better integratedcoherentand comparable statistics across countries and statistical domains. This course is designed to provide a strong foundation for the conceptsmethods and framework required to build high-quality and viable SBRs. This will facilitate the international harmonization of economic statistics in terms of coveragestatistical unitsand frame methodology.
Source: Eurostat (Data extracted on: 30 Jun 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material Describes the purpose, use and construction of HICP Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on 'Usage of Administrative Registries in Producing Economic Statistics' for the benefit of National Statistical Offices (NSOs) of OIC countries on 26-28 September 2022 through an online video conferencing platform. Experts of Turkish Statistical Institute (TurkStat) responsible for the Energy, Transport, Science and Technology Statistics as well as Statistical Business Registers and National Accounts will jointly conduct the course and cover the following topics: Energy Statistics Physical Energy Flow Accounts Usage of administrative data in compiling energy accounts Transport Statistics Compiling vehicle-kilometre statistics using odometer readings Usage of administrative data in compiling vehicle-kilometre statistics Role of vehicle-kilometre data in road transport module of PEFA Science and Technology Statistics Central Government Budget Appropriations and Outlays on R&D Statistical Business Registers Use of Administrative Sources in Statistical Business Registers Turkish Statistical Business Registers Experience National Accounts Use of administrative records in the national accounts system Difficulties encountered during the use of administrative records in the statistical production process (Examples from experience) The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To learn state of the art techniques in survey sampling.
Target Audience: NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.
Description: About the session This Stats Café session provided an update on the Illicit Financial Flows pilot in the Asia-Pacific region. The pilot project “Measuring Illicit Financial Flows in Asia-Pacific” was launched in July 2020, with project partners UNODC, UNCTAD and ESCAP, and is set to finish in December 2022. ESCAP serves as implementing partner for Measuring Illicit Financial Flows from tax and commercial activities and coordinated with pilot countries Kyrgyzstan and Uzbekistan. The session included an overview of the pilot project and provided updates and preliminary results on the methods used to measure illicit financial flows in Kyrgyzstan and Uzbekistan. In both Kyrgyzstan and Uzbekistan, the methods applied are those in the “Methodological guidelines to measure tax and commercial illicit financial flows – Methods for pilot testing” published by the United Nations Conference on Trade and Development (UNCTAD). These methods are Partner Country Method (PCM), Price Filter Method (PFM), Profit shifting by Multinational Enterprises (MNEs) and (joint foreign flows of offshore financial capital by country. In Kyrgyzstan, the pilot team tested an additional method of measuring illicit financial flows related to “grey re-exports.” “Grey exports” refer to either misreported re-exports or unreported re-exports. Testing these illicit financial flows was suggested by the national working group in Kyrgyzstan, based on the prevalence of grey re-exports in Kyrgyzstan. This method will be presented at the Stats Café session by the Kyrgyz national consultant. The results of testing the methods will contribute towards possible improvements to the UNCTAD methodological guide for future work on measuring illicit financial flows. A plan is proposed to conduct similar projects to measure illicit financial flows in present pilot countries, and additional interested countries in future. The Stats Café session will also discuss progress in measuring Illicit financial flows in other pilots and plans for further work globally and relevant policy implications and decisions. The Session was structured as follows: Overview of “Measuring Illicit Financial Flows in Asia-Pacific” by ESCAP Statistics Division (SD) The ESCAP SD presentation will outline the experience of conducting pilot studies in Kyrgyzstan and Uzbekistan and estimating illicit financial flows in these countries. The presentation will discuss the occurrences of illicit tax and commercial activity in Kyrgyzstan and Uzbekistan, data available to measure the flows, the experience of assessing data and formulating the pilot testing plan and the challenges and considerations of testing and measuring. Preliminary results are available and will be discussed in this presentation. Presentation from the Kyrgyz consultant on grey re-exports, and the experience of testing and measuring grey re-exports in Kyrgyzstan. Discussion from UNCTAD on the progress in measuring illicit financial flows in other pilot countries and the future of measuring Illicit Financial Flows, the effects of illicit financial flows on the economy and society, and policy implications. , Stats Café Home: Upcoming events Concluded events in 2022 2021 events 2020 events
Description: This technical workshop is being held as part of the implementation of the RECOFI 2022-2023 programme of work, as adopted at its Eleventh Session, held virtually from 25 to 27...
Description: How is your life going? Gallup has been asking the world’s citizens this question since 2006. Learn more about one of the most concerning trends we have found and how leaders can address it. 3.3 billion people want a great job, but only 300 million have one 3 in 10 people worldwide experienced food insecurity in 2020 Over 1 billion people are so dissatisfied with their community that they want to leave it forever 2 billion people are struggling on their current income Over 300 million people don’t have a single friend. How people feel matters If you feel like the world is getting more negative, you’re right. People are reporting more stress, sadness, physical pain, worry and anger than at any point in the history of Gallup’s tracking. And it’s not just because of the COVID-19 pandemic. Negative emotions have been rising for a decade. Find out why it’s crucial for leaders — and all of us — to pay attention. Adressing the blind spot Discover where the world is suffering in each of Gallup’s five elements of wellbeing and what private and public sector leaders can do to improve how people’s lives are going. Wi th power ful personal stor ies and compelling data from Gallup’s World Poll, Blind Spot outlines the indicators leaders need to watch so they are never again surprised by rising negative emotions.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 09 Sep 2022 )
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Organizer(s): Eurostat OECD STACE
Description: Statistical methods and tools for time series, seasonal adjustment, and statistical disclosure control (STACE), in collaboration with the OECD and Eurostat, is organizing the 2nd workshop on the use of time series methods for official statistics. This workshop offers an opportunity for official statisticians, academics and researchers in economics and statistics to discuss policy applications emerging from new state-of-the-art analytical tools and techniques. This year’s workshop features a topic session on: The impact of shocks on time series, with a special focus on unexpected events such as pandemics, wars, natural disasters, and strikes
Description: The fields of randomized experiments and probability sampling are traditionally two separated domains of applied statistics. Both fields share one similarity, which makes them unique from other areas of statistics: design plays a crucial role in this type of empirical research. While design of randomized experiments is traditionally focused on establishing the causality between differences in treatments and observed effects (internal validity), design of probability samples is focused on generalizing results observed in a small sample to an intended target population (external validity). Many experiments conducted with the purpose to improve survey methods are small scaled or conducted with specific groups. The value of empirical research into survey methods is strengthened as conclusions can be generalized to populations larger than the sample that is included in the experiment. This can be achieved by selecting experimental units randomly from a larger target population and naturally leads to randomized experiments embedded in probability samples. This results in experiments that potentially combine the strong internal validity from randomized experiments with the strong external validity of probability sampling. Generalizing conclusions observed in an experiment to a larger target population can be achieved with a design-based inference framework known from sampling theory. In this webinar a general design-based framework for the analysis of single factor and factorial randomized experimental designs embedded in general complex probability samples is presented. Methods are illustrated with real life applications conducted at Statistics Netherlands.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 08 Aug 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * An introduction to Earth Observation; * Examples using EO for statistical reporting; * Processing and analyse of EO data; * Practical exercises on receiving EO data; * Advanced analytics; * Reporting statistical values; * Question and Answer Session.
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of Earth observation, geographic information systems and statistics. Participants are expected to have knowledge of Earth observations and Scripting.
Description: The webinar will explore how Statisticians can help each other and develop official statistics via voluntary professional statistical societies and networks at global, national, and regional levels. Matthew Shearing, the Co-Chair of the ISI’s Capacity Building Committee will present the ISI’s ongoing capacity building initiatives. Discussion will focus on how Statisticians and institutions from different sectors in society can best support each other based on our shared passion for the potential of statistical science to lead a better world. This is your opportunity to better understand the ISI and its Associations (such as the International Association of Official Statistics) and the benefits of membership. You will also be able to help shape the ISI’s capacity building work plan and help ensure planning for the World Statistics Congress in 2023 optimises its impact for the global statistical system.
Source: Eurostat (Data extracted on: 09 Sep 2022 )
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Organizer(s): Eurostat OECD STACE
Description: The Statistical Disclosure Control (SDC) team of the Centre of Excellence for Statistical Methods and Tools (STACE) invites you to participate in a one-day User Workshop on practical implementation of SDC in statistical production and dissemination, on the 20th of September 2022, taking place in Paris, at INSEE. The aim of the Workshop is to stimulate knowledge sharing, discussions and interactions between SDC users. You are invited to give short presentations on special problems, work in progress, interesting examples from your institute’s experience regarding SDC implementation.
Description: Volunteer work, often referred to simply as "volunteering," is an essential renewable resource for social, economic and environmental progress all over the world. The contribution of volunteers to the well-being of individuals and communities plays an important role in keeping societies and communities together, building social cohesion and meeting the needs of many disadvantaged groups facing daily life challenges, especially during times of crisis. Recognizing this, the 2030 Sustainable Development Agenda calls on governments to work closely with volunteer groups for the achievement of the Sustainable Development Goals. For this purpose, however, basic information on the number and characteristics of persons working willingly and without pay to support others is needed. Such information can help in producing better economic and social policies. Despite the widely acknowledged importance of volunteer work in society, little sustained effort has gone into measuring and analysing volunteer work in most countries. This course presents tools and recommendations provided by the 19th ICLS, with a particular focus on the LFSs add-on module, that experts can use to produce statistics on volunteer work. By supplementing existing data on employment and unpaid housework, statistics on volunteer work can facilitate a more complete understanding of the multiple ways in which people produce goods and services to satisfy their own and others' needs. The objective is to make available comparative cross-national data on a significant form of work that is growing in importance but is often ignored or rarely captured in traditional economic statistics. The ILO Department of Statistics, in collaboration with the ITCILO, is therefore proud to offer the first online edition of this course designed to guide countries in generating systematic and comparable data on volunteer work by adding modules to labour-force or other household surveys. To unlock the full potential of volunteer work and contribute to the achievement of important development goals, it is essential to have relevant and reliable statistics on this subject.
Target Audience: The course targets statisticians from national statistical offices, ministries of labour and other institutions involved in the production of work-related and social statistics; governmental agencies responsible for developing and implementing volunteering policies, labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations; employment and development policy analysts working for national statistical offices, research and academic institutions, international organizations and donor organizations.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP
Description: The objective of the workshop is to provide staff of national statistical systems with toolsmethods and techniques for improved facilitation and communication in a workshop settingincluding remote trainings. Topics to be covered during the workshop include“QuestioningListening & Responding Skills”“Discussion leading process” and “Preparing a session plan”. At the end of the workshop participants will also practice the facilitation skills they have learned during the workshop.
Source: Eurostat (Data extracted on: 08 Aug 2022 )
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Organizer(s): Eurostat
Description: The aim of the course is: * To improve the capacity of national statistical services to produce high quality ESA 2010 national accounts; * To achieve an understanding of the theoretical basis and structure of ESA 2010 national accounts, together with sources and methodology; * To provide a general overview and an understanding of the links of the different areas of the system of NA.
Target Audience: Staff working in National Statistical Institutes and Competent National Authorities on the compilation of National Accounts (NA). The course is targeted at junior statisticians with at least one year's experience in NA through to staff with several years' experience. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 25 Feb 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics.
Source: Eurostat (Data extracted on: 08 Aug 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: This course will enable you to pick your next top data-science programming language Know the characteristics of R, Python, Julia Understand the advantages of each language for different use-cases Ability read and modify a small program in each language
Target Audience: ESS staff with some basic knowledge of data visualisation.
Title in Arabic: استراتيجية التواصل والنشر الإحصائي
Organizer(s): AITRS
Description: يتميز هذا العصر بوفرة البيانات وتعدد مصادرها من كل مكان تقريبًا، كما ان زيادة المعلومات حقيقة واقعة، حيث يتلقى الناس ما يصل إلى خمسة أضعاف المعلومات التي حصلوا عليها قبل 30 عامًا. تمّ تكوين أدمغة البشر للتعامل مع كمية معينة من المعلومات بغض النظر عما ينظر إليه. لكن التكنولوجيا ساعدت على التكيف والتقاط الأشياء بشكل أسرع بكثير مما وقع قبل عقدين فقط. وتشير الدراسات الى ان 90% من المعلومات التي يتم نقلها إلى دماغ البشر هي معلومات مرئية، حيث يحافظ على ما يصل إلى 80% مما يراه ويفعله مقارنة بـ 30% مما يقرأه. لذا، فإن حقيقة أن البشر مكون لتلقي معلومات مرئية أفضل من النص هي أكثر من كافية لتبرير الحاجة إلى إيجاد طريقة لنقل البيانات وتصورها بطريقة فعّالة وإيجاد الوسيلة والمنصة الأنسب لتحقيق ذلك.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on 'Usage of Administrative Registries in Producing Demographic and Social Statistics' for the benefit of National Statistical Offices (NSOs) of OIC countries on 19-20 September 2022 through an online video conferencing platform. Experts at the Population and Demographic Statistics, and Social Statistics Departments of Turkish Statistical Institute (TurkStat) will jointly conduct the course and cover the following topics: Administrative Data Used in Education Statistics Education Employment Database (General information, data collection and result tables) Education Expenditure Statistics (General information and data sources) Administrative Data Used in Social Protection Statistics Social Protection Statistics (General information and data sources) Administrative Data Used in Culture and Justice Statistics Justice Statistics (General information, data collection and result tables) Cultural Expenditure Statistics (General information and data sources) Population statistics from administrative registries: Address Based Population Registration System Vital statistics from administrative registries (birth, mortality, marriage, divorce) The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat FSO Switzerland
Description: To provide participants with a theoretical and methodological background on the development of indicator systems, especially in the context of monitoring SDGs; To build up a common understanding of terms, definitions, as well as the role and limits of official statistics in the construction and maintenance of indicator systems; To provide knowledge about the links between policy makers and other users of indicators and the statistical community providing data and indicators. The course will not address the following topics: Construction of individual indicators; Construction of data platforms and reporting procedures for SDGs monitoring; Use of indicators in statistical models.
Target Audience: Staff members working in the field of monitoring the UN Sustainable Development Goals (SDGs) or of economic, social or environmental statistics or who need to extend their knowledge on how to use indicators and indicator systems.
Source: IOM GMDAC (Data extracted on: 17 Apr 2023 )
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Organizer(s): IOM GMDAC
Description: IOM Global Migration Data Analysis Centre (GMDAC) celebrates its 7th-year milestones on 7 September 2022. Established in Berlin in 2015, at the invitation of the Government of Germany, GMDAC was set up to respond to calls for better international migration data and analysis for policy marking the fifth year since the launch of the Migration Data Portal. Since its inception, the Portal has served as a leading knowledge management tool that consolidates data, trends, resources, and expert commentary on migration data in one platform. On 14 September, GMDAC's staff reflected back at the past seven years on the key achievements past and current projects as well as challenges. During the discussion, GMDAC's staff exchanged with colleagues and partners on GMDAC's work and its way forward under the new Global Data Institute (GDI), as GMDAC and Displacements Tracking Matrix (DTM) will continue working closely together in data harmonization on migration.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘International Trade Statistics’ in collaboration with Arab Institute for Training and Research in Statistics (AITRS) for the benefit of National Statistical Offices (NSOs) of OIC countries on 13-15 September 2022 through an online video conferencing platform. Mr. Husam KHALIFA, Director, Foreign Trade Statistics Department of Palestinian Central Bureau of Statistics (PCBS) will conduct the course and cover the following topics: Classifications and Correspondence tables Trade systems Data sources in merchandise trade Linking trade with business statistics Data dissemination The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: التجارة الدولية هي تبادل رأس المال والسلع والخدمات عبر الحدود أو الأراضي الدولية بسبب الحاجة إلى السلع أو الخدمات. في معظم البلدان ، تمثل التجارة الدولية حصة كبيرة من الناتج المحلي الإجمالي (GDP) وتزداد أهميتها في المجالات الاجتماعية والاقتصادية والسياسية في العقود الأخيرة. تم اعتماد نظامين تجاريين في تجميع التجارة في السلع ، ونظام التجارة العامة ، ونظام التجارة الخاصة ، مع ملاحظة أن معظم البلدان تطبق نظام التجارة العام. يتم استخدام رمز السلع المنسقة ونظام الوصف (HS) على نطاق واسع من قبل مجمعي التجارة الخارجية في تصنيف السلع وكذلك في معاقبة مؤشرات التجارة. من ناحية أخرى ، ميزان المدفوعات (BOP) هو الطريقة التي تستخدمها البلدان لمراقبة جميع المعاملات النقدية الدولية في فترة محددة. عادة ، يتم حساب ميزان المدفوعات كل ربع سنة وكل سنة تقويمية. يتم احتساب جميع الصفقات التي يتم إجراؤها من قبل كل من القطاعين العام والخاص في ميزان المدفوعات لتحديد مقدار الأموال التي تدخل وتخرج من بلد ما. نظرًا لأن صياغة السياسات الوطنية السليمة المتعلقة بالتجارة تعتمد على بيانات عالية الجودة ، فإن إحصاءات التجارة هي من بين أكثر الإحصاءات تطورًا وتداولًا في مجتمع الإحصاءات الرسمية. ومع ذلك ، فإن ضمان قابلية هذه المؤشرات للمقارنة بين البلدان يتطلب نهجًا شاملاً ومنهجيًا لجمع وتصنيف وتجميع ومعالجة ونشر إحصاءات التجارة الدولية في السلع وميزان ميزان المدفوعات. وتهدف الورشة الى : أبرز المفاهيم والمصطلحات استعراض لأهم أرقام التجارة الدولية في العالم مصادر بيانات إحصاءات التجارة الدولية السلع التي يتم إدراجها/ استثناءها في إحصاءات التجارة الدولية نظم التجارة التصنيفات وجداول الربط توصيات IMTS نشر البيانات تمارين المرآه الربط بين إحصاءات التجارة والأعمال
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Providing participants with a better understanding of the principles of creating, developing and disseminating data visualisations to a wide audience: Various means of content visualisation (infographic, video, animation, etc.); • Different ways of using infographic, video, animation • The do’s and don'ts of content visualisation • How to display your own content and organise it effectively • How the media use visual material.
Target Audience: ESS staff with some basic knowledge of data visualisation.
Description: The world is facing cascading and intersecting crises: the COVID-19 pandemic, violent conflicts, and the climate crisis. How are they affecting efforts to achieve the Sustainable Development Goals (SDGs)? The Development Data and Outreach Branch of UN Statistics Division will present The Sustainable Development Goals Report 2022, which provides a global overview of progress on the implementation of the 2030 Agenda for Sustainable Development. The webinar will also present additional assets to guide audiences to dive deeper into the SDG data, trends and real-life stories behind the numbers to help further understand SDG progress globally: • The Sustainable Development Goals Progress Chart 2022 presents a snapshot of global and regional progress of selected targets under the 17 Goals of the 2030 Agenda for Sustainable Development. • Bringing Data to Life: SDG human impact stories from across the globe is a flip book that collects and showcases the faces and stories behind the data found in global figures on the Sustainable Development Goals (SDGs). • The SDG Extended Report provides additional information regarding the SDGs based on storyline inputs from UN international agencies who are custodians of the SDG indicators.
Description: The session will inform governments and other stakeholders of the new Sustainable Development Goals (SDG) indicator 17.3.1 on "additional financial resources mobilized for developing countries from multiple sources", adopted in March 2022. It will also spearhead dialogue to empower Southern countries to report their own data for global debates related to development support and consider how the indicator will help manage and mobilize resources for the recovery from the pandemic and progress towards the 2030 Agenda. The SDG indicator is based on the first globally agreed voluntary Conceptual Framework to Measure South-South cooperation. UNCTAD is organizing this session as part of its role to coordinate future testing and refinement of the framework, and global reporting and capacity building based on it. The work will be carried out under the leadership of Southern countries relying on country-owned mechanisms. Countries will share their experience and expectations.
Description: Employment impact assessment is key to increasing the effectiveness of policies intended to promote decent jobs. Anticipating the impact of economic disruptions on employment or measuring the ex-post effects of interventions on jobs provides the evidence needed to improve the design and implementation of policies. In times of crisis of the kind the world is currently facing, the importance of timely and accurate assessment is greater than ever. In close collaboration with the Employment Policy Department of the ILO, the ITCILO is offering this course in an innovative e-learning format. Join us to learn how to assess the impacts of policies on employment, flexibly and without needing to travel!
Target Audience: This course will be of particular interest to government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; the staff of programme-management teams from private-sector entities, non-governmental organizations and community-based organizations; the operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Source: Eurostat (Data extracted on: 08 Aug 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: This course shall democratize the use of blockchain technology. Understand the cryptographic principles behind blockchains. Understand the components of blockchains. Get to know impactful use cases of diverse blockchains. Get to know the ecosystems of available blockchains and tools. Develop an application on the Ethereum blockchain for Official Statistics.
Target Audience: National Statistical Business Register (NSBR) staff. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on 'SDG 8.9.1 Indicator' for the benefit of National Statistical Offices (NSOs) of OIC countries on 12-14 September 2022 through an online video conferencing platform. Mr. Rifa Rufaidi, Senior Statistician at the Directorate of Statistics of Finance, Information Technology, and Tourism, and Ms. Nur Indah Kritiani, Senior Statistician for National Accounts at the Directorate of Production Accounts of the BPS-Statistics Indonesia, will jointly conduct the course and cover the following topics: Demand Perspective Inbound Tourism Statistics Outbound Tourism Statistics Domestic Tourism Statistics Supply Perspective Maintain Frame in Statistical Business Registers Tourism Industry Survey Overview of Tourism Satellite Accounts Compilation of Tourism Supply and Tourism Demand The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: IOM GMDAC (Data extracted on: 17 Apr 2023 )
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Organizer(s): IOM GMDAC African Union Statistics Sweden
Description: This African Migration Data Network (AMDN) school on migration statistics is the third of its kind after the success of the first two sessions organized in 2020 and 2021. It is a joint initiative between the African Union, IOM and Statistics Sweden. As migration data are essential to inform policymaking and programming on migration, development and protection at the national, regional, and international levels, the African Schools on Migration Statistics aim at strengthening national capacities for the collection, production, and dissemination of migration data in African countries. This third edition focuses on diaspora data in particular. Diasporas provide diverse contributions to sustainable development. They often support countries of origin through financial, social, and cultural transfers, and through demographic, labour, and fiscal contributions. Diaspora contributions are receiving increasing attention. They have been recognized at a global level, by Objective 19 of the Global Compact for Safe, Orderly and Regular Migration (GCM) and Agenda 2030 in particular, and at the continental level, in documents such as the revised Migration Policy Framework for Africa and AU/ILO/IOM/UNECA Joint Labour Migration Porgramme (JLMP). In addition, countries of origin are increasingly adopting strategies to engage with their diasporas and facilitate their contributions to national development and to other domestic objectives. In order to be effective, such policies and programmes need to be informed by evidence. However, availability of diaspora data remains scarce and unequal across regions, due to inherent challenges. For instance, many African countries are not able to provide data for their nationals abroad as well as account for the source of remittances by country of origin and other characteristics. Consequently, member states lack information on the distribution of diaspora members and on their characteristics and needs as well as the concrete contributions they make. In turn, such data gaps hinder the identification of tailored and effective diaspora engagement efforts. Adopted in April 2022, the Dublin Declaration calls to improve data on diasporas in line with SDG target 17.18 and GCM Objective 1. In response to these important needs identified by member states, IOM has recently developed tools in terms of diaspora data such as a Diaspora Mapping Toolkit (2021) and the guide Contributions and Counting: Guidance on Measuring the Economic Impact of your Diaspora beyond Remittances (2020). Disseminating these tools and implementing related training activities is essential to develop member states´ capacities to know their diasporas. Due to its transnational and country-led nature, the Africa Migration Data Network is in a unique position to contribute to improving data and evidence on diaspora communities and their contributions to development, through this school on migration statistics, which is led by the African Union, IOM and Statistics Sweden.
Source: Eurostat (Data extracted on: 30 Aug 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide the participants with a state of the art knowledge of the methodology and practice of nowcasting To introduce the participants to the use of R to produce nowcasts for their own series.
Target Audience: Staff of national statistical institutes involved in the production process who want to acquire a good understanding of nowcasting methods and practices.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat
Description: To provide the participants with advanced knowledge of the EGR 2.0 system and its applications. To present the EGR 2.0 business process, the functionalities of the applications, the links to the NSBR, EGR's role and integration into the production of business statistics.
Target Audience: National Statistical Business Register (NSBR) staff. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘2020 Round of Population & Housing Censuses: Census Editing & Validation’ on 7 September 2022, in collaboration with the United Nations Statistics Division (UNSD) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC member countries. The main objective of this Webinar is to facilitate a platform to introduce the UN Handbook on Population and Housing Censuses Editing (Revision 2) while focusing on editing procedures for censuses conducted with electronic questionnaires as well as the assessment of the quality of the editing process and validation of census data. The Webinar will cover: UN Handbook on Population and Housing Censuses Editing (Revision 2) Editing in Censuses & Surveys Use of Electronic Data Collection Technologies in Censuses Quality Assurance & Assessment of the Quality of the Process Experiences of OIC Countries in Census Editing & Validation Document: Concept Note and Work Programme (English)
Description: The workshop aims to provide an update on the progress of the work to update the SNA; present the proposed outline of the 2025 SNA; discuss the guidance notes on the priority areas (communication, globalization, digitalization and well-being and sustainability) and thematic topics (financial and payments systems, informal economy and Islamic finance); and invite participating economies to participate in the experimentation and testing exercises for some guidance notes. Overseas participants who want to attend the workshop virtually should submit the online registration form by 5 pm, 31 August 2022, Beijing time.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences. Courses will provide attendees with the competences required to be effective when training/teaching colleagues in statistical, technical and analytical topics. Specific details can be seen under ‘Outcomes’ below.
Target Audience: Designed for all those who are engaged in providing statistical, technical and analytical training, giving statistical, technical and analytical presentations, providing statistical, technical and analytical consulting and facilitating group sessions with statistical and non-statistical audiences.
Title in Arabic: الحسابات الفرعية في الحسابات القومية
Organizer(s): AITRS
Description: يحتوي الإطار المركزي للحسابات القومية على قيود هيكلية تحول من دراسة وتحليل مجالات معينة من الحياة الاقتصادية والاجتماعية، حيث يتم تركيب الحسابات القومية استنادا الى تصانيف محددة لا تمكن من احتواء قطاعات افقية على غرار السياحة والاقتصاد الرقمي وغيرها من المجالات الأخرى. ولتجاوز هذا النقص، قدم نظام الحسابات القومية في نسخة 1993 لأول مرة فكرة الحسابات الفرعية، والتي تم تفصيلها وتنفيذها بشكل كامل في نظام الحسابات القومية لسنة 2008. وأصبحت الحسابات الفرعية للحسابات القومية على مدى العقود الثلاثة الماضية، شائعة بشكل متزايد في جميع أنحاء العالم وذلك اعتبارا لمزاياها، حيث تمكن من استعارة بعض أفضل ميزات الإطار المركزي للحسابات القومية مع توفير حرية تجاوز بعض قيودها. والحسابات الفرعية للحسابات القومية هي حسابات متماسكة نظريًا ومفصلة مع الإطار المركزي الذي تكملوه وتوسعه.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing an advanced knowledge of the elaboration and use of statistics on: trade in goods, services, financial flows, trade in value added and IIP statistics.
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users —in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Description: The consumer price index (CPI) is one of the most important macroeconomic indicators produced by a country. CPI data are essential inputs for policymakers who require reliable measures of price change to make sound policy decisions. In addition, wages, salaries, government payments, pensions, rent, and other payments are indexed to the CPI and require accurate estimates of inflation. Learn the key concepts and compilation methods required to compile reliable CPI data using the best available methods.
Target Audience: This course is designed for compilers and users of the consumer price index (CPI) who can benefit from a better understanding of the recommended methods for the compilation and dissemination of reliable inflation data.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The aim of the course is to: provide an overview of the functioning of ESS, including ESS procedures and concepts; create understanding of the requirements originating from the EU cooperation introduce in the relations of the European Statistical System with other EU institutions or fora, the legal basis of the ESS, the decision-making process, the cooperation among the different stakeholders, etc.; prepare participants and enable them to tackle the day-to-day challenges of the ESS system for the purpose of strengthening efforts and thereby increasing their involvement; Train the participants in negotiating with colleagues from other European countries, including negotiation and presentation skills, effective oral communication and active participation in an ESS meeting;
Target Audience: Staff members wishing to understand the framework and functioning of the European Statistical System (ESS) as well as staff who participate or will be participating in the meetings of committees, European Union working groups and task forces.
Description: The sample of the Statistical survey on population by ethnicity, native language and religion 2021 consists of the voluntary sample and the probability sample drawn from the rest of the census population. A natural post-stratified calibrated estimator underestimates minor religions and other small proportions of interest. Alternatively, to correct the selection bias of estimates based on the non-probability sample, we fit a model for propensity scores using the demographic and socioeconomic data and information from the previous complete census. Then we combine the inverse probability weighted and doubly robust estimators with post-stratified calibrated estimators. The total sample size of the survey is not sufficient to derive accurate direct estimates of the proportions in small domains like municipalities. We apply robust design-based composite estimators which exploit domain-level information on the study variables from the previous census.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This one-week course will cover theoretical and practical issues related to the compilation of sectoral accounts (current and capital accounts, financial accounts, other changes in volume of assets accounts, and revaluation accounts) and balance sheets according to institutional sectors. The aim of the course is to provide participants with the necessary skills to compile the sectoral accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues as well as exercises that require the application of these concepts and that highlight practical compilation issues. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral accounts and balance sheets, including accounting rules, valuation, institutional units and sectors, and residency. The course will also outline potential data sources for their compilation and illustrate recommended compilation techniques and procedures.
Description: The theme of the IFC 2022 Biennial Conference, to be held at the BIS in Basel on 25–26 August 2022, will cover the post-pandemic landscape for central bank statistics, taking note of central banks’ dual role as both compilers and users of official statistics. The programme will cover issues such as the consequences of Covid-19 for data sources, processes and methodologies; the evolving role of central bank statistical functions; and global initiatives like the ongoing revision of international statistical manuals and the prospective new Data Gaps Initiative envisaged by the G20 – including the main statistical priorities identified in this context that relate to (i) climate change; (ii) household distributional information; (iii) fintech and financial inclusion data; and (iv) access to private sources of data and administrative data.
Description: This is a side-event of Twenty-first meeting of the Executive Committee of the Statistical Conference of the Americas of ECLAC. The seminar will address the various statistical challenges related to the improvement of GDP measurement and the production of complementary indicators to account for economic, social and environmental development.
Organizer(s): Baltic-Nordic-Ukrainian Network on Survey Statistics
Description: The BNU Workshop on Survey Statistics 2022 will be organized in August 23-26, 2022, in Tartu, Estonia. The workshop will be of a hybrid type, connecting in-person participation in Tartu and online participation (via Zoom) for those registered participants who cannot attend in person. The scientific program covers both innovations in established methods on survey and official statistics and new and emerging approaches in the area. The first keynote speaker, Jean-François Beaumont, will give an online talk on inference from non-probability samples through data integration. María del Mar Rueda discusses further challenges in inference with non-probability surveys and delivers a PC lab on estimating with non-probability surveys using R. Recent advances in population statistics will be discussed by Li-Chun Zhang. In addition to the keynote talks, a number of invited and contributed papers will be presented. Further, Carl-Erik Särndal, the author of two milestone publications of 1992, the Springer book "Model-Assisted Survey Sampling" (with Bengt Swensson and Jan Wretman) and the JASA article "Calibration Estimators in Survey Sampling" (with Jean-Claude Deville), will attend the workshop. As 2022 is the jubilee year for both publications, Carl-Erik Särndal has promised to give a keynote talk on the occasion. His title is "Progress in survey science, yesterday, today, tomorrow". A round table discussion is arranged after his talk. The Workshop is organized by the Baltic-Nordic-Ukrainian (BNU) Network on Survey Statistics in cooperation with partner universities and several national statistical institutes and associations. The University of Tartu, Statistics Estonia and the University of Helsinki have primary responsibility. Today, the BNU network involves partners from Estonia, Finland, Latvia, Lithuania, Poland, Sweden and Ukraine. Baltic-Nordic co-operation on survey statistics started in 1992 by the initiative of Prof. Gunnar Kulldorff and was developed as the Baltic-Nordic-Ukrainian (BNU) Network on Survey Statistics from 1996 on. The BNU network has organized annual events since 1997. More information about the Baltic-Nordic-Ukrainian Network on Survey Statistics are available at the BNU website.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: FAO held a series of webinars on Producing Proxy Estimates for SDG Indicator 5.a.1 using Demographic and Health Surveys (DHS) on 17, 18 and 22 August 2022. Participants came from...
Description: Background: Lao PDR has come onboard as one of the countries in the region to receive support to undertake the CRVS inequality assessment. The project seeks to provide technical support and capacity strengthening to the Lao Statistics Bureau and other relevant national stakeholders to facilitate the implementation of CRVS inequality assessments using secondary data sources in Lao PDR. This will involve building capacity for demographic analysis to undertake inequality assessments in the future as well as for initiating dialogue with policy-makers to ensure the results are used for policy formulation. The first three-day national capacity building workshop was a hands-on workshop, which was designed based on the country’s needs and the project’s objective to build skills in analyzing data to assess inequalities in registration of births and deaths. The workshop supplemented lectures with practical sessions and exercises, which were developed by the CRVS national consultant based on real data from Lao PDR. Participants comprised Lao Statistics Bureau staff and stakeholders from relevant ministries. , Project: Implementing Inequality Assessments Resources Regional Events Project countries: Bangladesh Bhutan Fiji/ Indonesia Lao PDR Pakistan Philippines Samoa
Description: This course, presented by the Statistics Department, introduces the fundamentals of compiling monetary statistics, with special attention to other financial corporations (OFCs). It also gives an overview of financial statistics and national accounts. The course material is based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). Although the course summarizes the main principles underlying the compilation of monetary statistics, it assumes participants already understand these principles (e.g., having participated in the MFS-I course). The core of the course deals with characteristics of various OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structure, and their role in the financial sector. The course also covers some aspects of financial statistics, dealing with financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world; the balance sheet approach to vulnerability analysis; and the relationships between monetary, balance of payments, government finance, and national accounts statistics. The course consists of lectures and case studies to familiarize participants with practical aspects of compiling monetary statistics for OFCs and the basic principles underlying the compilation of national accounts. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Title in Arabic: المراقبة الفنية للأعمال الميدانية: التعداد الالكتروني نموذجا
Organizer(s): AITRS
Description: تهدف عملية المراقبة الميدانية والمكتبية للعمل الإحصائي عند استعمال التقنيات الجديدة في جمع البيانات إلى التأكد من قيام جميع العاملين بدورهم بدقة بخصوص اتباع كافة القواعد والتعليمات المتعلقة بالعمل الميداني، إضافة إلى تجاوز الإشكاليات الممكن مواجهتها اثناء العمل الميداني، والتأكد من صحة استيفاء البيانات وتحقيق مقابلة المستجيب. وتكتسي المراقبة الاعمال الميدانية عند استعمال التقنيات الجديدة أهمية بالغة في المساعدة على اكتشاف ما يمكن أن يقع فيه الباحثون في العمل الميداني من أخطاء، وتناقل البيانات من الميدان الى المركز بصورة امنة تحفظ البيانات وتضمن شموليتها وجودتها. كما أن تكثيف المراجعة الميدانية لاسيما في الأيام الأولى للعمل من قبل جميع العاملين في الميدان يساهم بشكل كبير في معالجة الأخطاء في وقت مبكر وتلافيها لاحقا. وبقدر أخذ الاحتياطات اللازمة في مرحلة البرمجة الإعلامية والتدريب على استعمال التجهيزات يمكن تلافي نسبة كبيرة من الأخطاء التي ربما ستحتاج إلى وقت وجهد كبيرين لو لم يتم وتصحيحها وتصويبها في الحين.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, covers theoretical and practical issues related to the compilation of ISA (current and capital accounts, financial accounts, other changes in volume of assets accounts, and revaluation accounts) and balance sheets according to institutional sectors. The course is based on the conceptual framework of the System of National Accounts, 2008 (2008 SNA). The aim of the course is to provide participants with the necessary skills to compile the ISA and the balance sheets. The course consists of lectures covering conceptual and methodological issues as well as exercises that require the application of these concepts and that highlight practical compilation issues. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to ISA and balance sheets, including accounting rules, valuation, institutional units and sectors, and residency. The course will also outline potential data sources for their compilation and illustrate recommended compilation techniques and procedures.
Description: About the expert dialogue The ESCAP expert dialogue aims to discuss possible ways forward towards establishing a closer data collaboration between governments and civil society in the region. We invite you to join our webinar in which we will present some of the ongoing citizen-generated data (CGD) work of UN ESCAP, UNSD, and of the LNOB civil society coalitions in Bangladesh, India, Nepal and Viet Nam. We will also receive inputs from a government and a national statistics office on their perspectives of CGD. Relevant resources and publications Bangladesh: https://voicescount.org/countries/bangladesh/?tab=publications India: https://voicescount.org/countries/india/?tab=publications Nepal: https://voicescount.org/countries/nepal/?tab=publications Vietnam: https://voicescount.org/countries/vietnam/?tab=publications General guidance material on CGD: https://voicescount.org/guidance/ Agenda for this session Moderator: Peter Koblowsky, Senior Partnership Manager, International Civil Society Centre Welcome remarks: Rachael Beaven, Director, Statistics Division, UN ESCAP Haoyi Chen, Coordinator, IS Working Group on Household Surveys, United Nations Statistics Division Peter Koblowsky, Senior Partnership Manager, International Civil Society Centre CGD implementation experiences in Asia and the Pacific:Joint presentation of the LNOB coalitions in Bangladesh, India, Nepal and Viet Nam: Vân Anh Trần, Program Director, Management and Sustainable Development Institute (MSD) Shantosh Thapa, Youth Engagement Coordinator, VSO Nepal NSO’s perspective on working with CGD: Ram Hari Gaihre, Director, Central Bureau of Statistics, Nepal Government’s perspective on the use of CGD: Nguyen Thanh Nga, Focal Point for SDG report and VNR, Department of Science, Education, Natural Resources and Environment, Ministry of Planning and Investment, Viet Nam Discussion and opinion poll with audience: your perspective on working with CGD Conclusion and wrap-up
Description: The regional capacity building workshop will be held online from 2 to 5 August 2022 as part of a project to strengthen capacity to implement inequality assessments of civil registration and vital statistics (CRVS) systems, which has been initiated by ESCAP and includes both in-country and regional level capacity strengthening activities. The regional capacity building workshop aims to provide guidance for countries to undertake inequality assessments and understand what the findings mean for policy purposes. The workshop will help participants understand why countries should undertake inequality assessments, review data for quality and assess its limitations, analyse results of an assessment, and how to present findings to policy makers so they can be used to improve civil registration of vital events among populations most left behind. The regional capacity building workshop will be a participatory hands-on workshop to build skills in analyzing data to assess inequalities in registration of births and deaths. Real-world data will be used and analyzed in order to provide greater depth and meaning to the skills gained. Concept note Agenda List of participants Group Photo Background A well-functioning civil registration and vital statistics (CRVS) system helps ensure that every person has a legal identity, facilitating access to the benefits and protections of the State. It is also the preferred data source for many demographic statistics with numerous indicators of the Sustainable Development Goals (SDGs) directly related to mortality and fertility while others rely on population data as the denominator. To know who is being left behind, the relevant disaggregated population data needs to be available. Many countries experience lower civil registration completeness rates among certain marginalized and hard-to-reach population groups or geographic areas. Despite these inequalities and their negative impact, this problem often remains a blind spot. The groups affected remain largely invisible if the matter is not specifically investigated. To ensure progress in registration is truly universal and fully inclusive, the Ministerial declaration to “Get Every One in The Picture” in Asia and the Pacific recognized the need to address disparities in civil registration completeness and coverage of these groups. Hence, the Regional Action Framework (RAF) on CRVS in Asia and the Pacific calls upon countries to assess any CRVS-related inequalities experienced by population subgroups. However, few countries have implemented inequality assessments, partly due to lack of clear guidelines and support to undertake such an assessment. Thus, ESCAP developed the inequality assessment project, which seeks to provide technical support and capacity strengthening to relevant national stakeholders to facilitate the implementation of CRVS inequality assessments using secondary data sources. The project is meant to build capacity for demographic analysis to undertake inequality assessments in the future as well as dialogue with policy-makers to ensure the results are used for policy formulation. , HOME - Project: Implementing Inequality Assessments Project countries: Bangladesh Fiji Lao PDR Pakistan Samoa Resources Regional Events
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP
Description: This course introduces the SEEA Central Frameworkthe international statistical standards for measuring the interactions between the environment and the economy. By providing an internationally agreed standard with agreed conceptsdefinitions and classificationsthe SEEA is an invaluable tool for compiling integrated information on the economy and the environment. The SEEA uses conceptsdefinitions and classifications consistent with the SNA in order to facilitate the integration of environmental and economic statistics. By doing sothe SEEA allows users to develop indicators (including SDG indicators) and conduct analysis on the economy-environment nexus.
Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually." This course, conducted by the Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011) , as well as on the practical aspects of public sector debt data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the methodology that is harmonized with the Government Finance Statistics Manual 2014 (GFSM 2014) and the System of National Accounts (SNA 2008) . The course examines coverage and accounting rules of the public sector debt statistics framework, valuation, classification, selected methodological issues, and the sources and methods used for compiling the statistics. It also deals with debt data reporting to the IMF and World Bank. The course is organized around a series of case studies.
Description: This is the latest in a series of workshops held since 2017, which aims to: * Develop the capabilities of national statistical offices to collect and publish accurate and comparable disability statistics from household censuses and surveys. * Enhance understanding of concepts, definitions and methodologies so as to produce consistent data aligned with regional and international standards. * Discuss the development of stand-alone surveys to reach a consensus for a regional module. * Share good practices in producing disability statistics in the region and related challenges in data analysis.
Description: Substitution of a nonresponding unit with one not originally selected in the sample is a commonly used method for dealing with unit nonresponse. Although frequently used in practice, substitution is largely neglected in the survey sampling literature. To date, few studies have attempted to develop a formal framework for describing and evaluating substitution methods, and little research has been done to improve estimates obtained through the use of substitution as a nonresponse adjustment procedure. In this presentation, I will show results from simulation and empirical studies conducted to enhance our understanding of substitution methods and present new procedures to improve them.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘Transport Statistics’ for the benefit of National Statistical Offices (NSOs) of Arabic speaking OIC countries on 26-28 July 2022 through an online video conferencing platform. Mr. Mohammed Khier Alomoush, Head of Transport and Tourist Division of the Department of Statistics (DoS) of Jordan, will conduct the course and cover the following topics: Introduction to the transport statistics and its importance Classification of transport activities Importance of describing activity in transport sector surveys Objective of the transport sector surveys and survey coverage Transport survey in Jordan The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: صمم نظام معالجة التعدادات والمسوح (Census and Survey Processing System (CSPro)) من قبل الأمم المتحدة كأداة تساهم في جمع بيانات التعدادات والمسوح إلكترونياً. وطورت هذه الأداة لتواكب التطورات في مجال جمع البيانات في الدوائر الإحصائية الرسمية، وبقيت هذه الأداة مطبقة بشكل واسع في جمع البيانات الإحصائية لفاعليتها وسهولة استخدامها، كذلفك بسبب إمكانية تطبيق معايير قواعد تدقيق جمع البيانات من خلال البرمجية. ويعتمد استخدام البرمجية على توفير أدوات إلكترونية سهلة المنال، وتتضمن جهاز حاسوب لتصميم الاستمارة إلكترونية باستخدام البرمجية، وأجهزة تابلت يمكن من تحميل الاستمارة التي تم تصميمها لأغراض جمع البيانات ميدانيا، وإمكانية ربط أجهزة التابلت بالإنترنت وذلك من أجل تناقل البيانات إلكترونياً مع السيرفرات أو تجميع البيانات من خلال الكلاود إلكترونياً على المواقع الإلكترونية الخاصة بالشركات المؤجرة لهذه المواقع أو الاستخدام المجاني في بعض الشركات الأخرى. الاهداف: تهدف الورشة التدريبية إلى: * التعريف بالحزمة البرمجية CSPro. * إدخال البيانات في برمجية CSPrp. * التعامل مع قاموس البيانات في البرمجية. * تصميم برنامج الإدخال * استرجاع البيانات والتعامل معها * تقديم تطبيقات على البرمجية
Description: المعلومات المتوفرة عن احصائيات الهجرة تعتبر شحيحة وقليلة مقارنة بأهمية الموضوع وضرورة دراسته وتحليله بعمق وتمحص لما له من تأثيرات كبيرة على المجالات الاقتصادية والاجتماعية وعلى التخطيط السليم للتنمية. وقد بين تقرير الأمانة العامة للأمم المتحدة E/CN.3/2021/11 حول احصائيات الهجرة خلال الدورة 52 للجنة الإحصائية للأمم المتحدة المنعقدة بنيويورك عام 2021 الحاجة الاكيدة الى احصائيات الهجرة لتقدير عدد السكان وفهم التغير الديمغرافي، بالإضافة الى ضرورة ضبط إطار مفاهيمي واضح ودقيق للاشتغال على مواضيع الهجرة لضمان مقارنتها واستغلالها في الدراسات السكانية والديمغرافية. واعتبارا للظروف الاقتصادية والسياسية والأمنية الصعبة التي تمر بها المنطقة العربية منذ سنوات، تطور عدد المهاجرين والمتنقلين والمهجرين بشكل لافت بين مختلف الدول والقارات مما تسبب في بروز العديد من الإشكاليات والتحديات المرتبطة بهذه الظاهرة. وقد برزت الحاجة الى ضرورة معرفة حجم الهجرة بمختلف عناصرها وتجلياتها لرسم سياسات ملائمة لتأطيرها وتجاوز الإشكاليات القانونية والاجتماعية الممكن حصولها.
Description: On 19 July, the "IMF and Climate Change Statistics" webinar provided an overview of the work on Climate Change as part of the IMF Global Policy Agenda, with a focus on the...
Description: About the session The number of displaced and stateless people in Asia and the Pacific reached 11.3 million people at the end of 2021. These were of 4.2 million refugees, 4.4 million internally displaced people, 2.4 million stateless (includes stateless displaced), 1.1 m returning internally displaced people and 0.2 million asylum-seekers. Demographic data is available for 78 per cent of these displaced and stateless people in Asia-Pacific, with a significant contribution resulting from the collaboration between UNHCR and academia using statistical modelling to estimate the sex and age-distribution of Afghan refugees in Iran. Among the displaced and stateless populations just over half are children, almost double the proportion of children in the region. Agenda for this session Welcome Remarks: Rachael Beaven Forced displacement trends in the region by UNHCR Regional Bureau: Chao Chung Update on Expert Group on Refugee, IDP and Statelessness Statistics (EGRISS) and International Recommendations on Statelessness Statistics (IROSS): Natalia Baal, EGRISS Pakistan CCAR/NADRA registration figures: Ashar Ahmad, Pakistan Iran demographic modelling by University of Southampton: Jakub Bijak and Jason Hilton, University of Southampton Open discussion: moderated by ESCAP: Tanja Sejersen, ESCAP , Stats Café Home: Upcoming events Concluded events
Description: Data and statistics are the backbone of meaningful and evidence-based follow-up and review of the implementation of the Sustainable Development Goals (SDGs). Despite facing unprecedented disruptions in statistical operations and a spike in demand for data for policy making during the COVID-pandemic, many countries have stepped up to the challenges in supporting building back better and fulfilling the ambitions of the 2030 Agenda. To do so, they have forged new collaborations and leveraged alternative data solutions while increasing efforts to protect data.
Description: There is growing recognition that building back better must also mean building back greener. The twin crises of climate change and biodiversity degradation pose a dire threat to recovery efforts and economic progress. Effective and successful efforts to reduce global emissions and protect biodiversity require that public institutions work in partnership – across ministries as well as with civil society and the private sector – and design policies that protect the environment while enhancing livelihoods and wellbeing. This webinar will examine how natural capital accounting, in particular the System of Environmental-Economic Accounting (SEEA) can help to measure and track climate change and biodiversity, thus providing Governments with a “common denominator” in the effort to integrate environmental concerns into public policy and decision-making. The event will focus on both the institutional perspective (for example, how to adopt and integrate the framework in support of environmental goals) and the technical issues (including specific examples, such as how to assess the value of ecosystems vital to improving the quality of land and water resources).
Description: This course, presented by the Statistics Department, teaches you how to compile timely, high quality national accounts statistics based on the system of national accounts (SNA) framework. The course introduces the sequence of national accounts, the accounting rules, and the key macroeconomic indicators in the SNA framework. You will learn about gross domestic product (GDP) - the main aggregate of the system, and how to compile consistent and internationally comparable measures of GDP according to the production, income, and expenditure approaches. The course also discusses in detail, how the SNA can be used to track an economy's production, consumption, and income and how to estimate volume measures of GDP.
Description: The purpose of this workshop is to enhance knowledge on the main issues relating to the collection, analysis, interpretation and use of data on children with disabilities. In particular, participants will gain understanding of data collection methods and tools, as well as the ability to read and interpret data. Finally, the workshop will strengthen the capacity of participants to disseminate and use data effectively to promote the rights of children with disabilities. The workshop is intended primarily for representatives of National Statistical Offices, Organizations of Persons with Disabilities and others working on data collection, analysis and dissemination. The training is made possible thanks to financial support from the Department of Foreign Affairs and Trade of the Government of Australia, and is organized with the involvement of the Washington Group on Disability Statistics.
Target Audience: The main audience for the training will be experts and practitioners with a particular interest or responsibility in child disability. This will include (but not be limited to): * Representatives of National Statistical Offices; * Government staff, in particular those responsible for child disability programme development and implementation; * Monitoring and evaluation specialists from within the sector; * Local researchers and academics; * Representatives of Disabled Peoples’ Organizations; * Child disability practitioners.
Description: For this Global Network Webinar we will have Gianfranco Cecconi from Capgemini Invent with us who will be talking about Unleashing data sharing – 20 years of European Union experience, and what comes next. Since the original Public Sector Information Directive in 2003, the European Union (EU) has been committed to unleash the value of data for its citizens and businesses, by supporting the development of data sharing in and among its Member States. Starting from government-owned open data first, it evolved and shifted focus to data sharing in general with the European Strategy for Data in 2020. The talk will present the spectrum of actions that the EU has undertaken to implement and support its policy, through data.europa.eu (government open data) and Support Centre for Data Sharing (data sharing in general), share the learnings from those experiences, and offer a glimpse of the “data space” model for data sharing, that characterizes all upcoming EU data policy investments, starting from the ongoing Digital Europe programme.
Description: Organized by the UN-GGIM Americas Board of Directors and the CARIGEO Coordinating Committee, with the collaboration of the UN-GGIM Secretariat and the IGIF High Level Group.
Description: Join FAO’s Office of Emergencies and Resilience for this multistakeholder global event focusing on the Data in Emergencies (DIEM) information system. Through multiple speakers and perspectives, the event will explore...
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP
Description: Timelyreliable and comparable health statistics are fundamental to monitoring the health status of the population and for developingimplementing and evaluating health policies and practices that address health and health care. With the adoption of 2030 Agenda for Sustainable Developmentthe need for high-quality data for the over 50 health and health-related Sustainable Development Goal (SDG) indicators has increased. The objective of this e-Learning course is to address capacity gaps in health statistics by providing a general understanding of the basic conceptmethods and framework required to compile and monitor the health and health-related SDG indicators.
Source: Eurostat (Data extracted on: 29 Nov 2021 )
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Organizer(s): Eurostat
Description: To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Statisticians dealing with compilation of annual energy statistics – advanced users of energy statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a Training Course on ‘Conducting a Census Based on Administrative Records’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 4-5 July 2022 through an online video conferencing platform. Mr. Alper ACAR, Mr. Mehmet Doğu KARAKAYA, and Mr. Mehmet Şaban UCARI, Experts at Turkish Statistical Institute (TurkStat) Demographic Statistics Department, Population and Migration Characteristics Group will conduct the course and cover the following topics: Population Statistics and Censuses of Türkiye History of Population Censuses in Türkiye Data Sources for Population Statistics Address Based Population Registration System Population Characteristics Database and its Integration with other National Databases The SESRIC StatCaB Programme was initiated in early 2007. It is the flagship capacity development programme of SESRIC. Within the framework of StatCaB Programme, the Centre collects information from the NSOs of OIC member countries through the biennial StatCaB Questionnaire, assesses their statistical training needs and capacities, matches these needs and capacities, and organizes statistical capacity development activities between the beneficiary and provider countries. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: In the next decades, agricultural productivity will need to increase considerably to feed future generations. However, some intensification approaches may have an impact on land degradation, ecosystems, biodiversity, pollution, CO2 emissions and so on. The trade-off between agriculture and environment is a critical issue for policy makers charged with managing both the food supply and the sustainable use of the land. Reliable data are crucial for developing effective policies and for evaluating their impact. Due to technological development, in the last decades, different kinds of geospatial data have become easily accessible at decreasing prices and have started to be an important support to agricultural monitoring. In this talk, we focus on the main methodological aspects behind the use of geospatial technology for agricultural monitoring and for producing reliable and timely agricultural statistics. Particular attention is devoted to the main types of agricultural probability sample surveys based on area sampling frames and corresponding estimation. The use of remote sensing data at the design level (area frame construction and stratification) as well as at the estimator level is also analysed.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The event will be organized on Wednesday, 29th June 2022. Interested participants can join one of two below sessions. Click here for registration. Session 1: June 29th at 9:00 am (BST) / 11:00 am (EAT) / 1:30 pm (IST) Session 2: June 29th at 10:00 am (EDT) / 3:00 pm (BST) / 5:00 pm (EAT) / 7:30 pm (IST)
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing.
Title in Arabic: تقييم جودة بيانات السجلات المدنية ومدى اكتمالها واستخدامها
Organizer(s): AITRS
Description: تنظم الإسكوا، بالتعاون مع صندوق الأمم المتحدة للسكان والمعهد العربي للتدريب والبحوث الإحصائية، ورشة عمل تدريبية حول الطرق الديمغرافية في تقييم جودة بيانات السجلات المدنية ومدى اكتمالها، واستخدامها. وللإحصاءات الحيوية دورٌ أساسي في فهم الديناميّات السكانية، ومساعدة التخطيط الحكومي، ورصد التقدم المحرز نحو أهداف التنمية المستدامة. وهي تتطلّب نظام تسجيل مدني يتّسم بالاكتمال والدقة والتوافر وحسن التوقيت. إلّا أن أنظمة التسجيل المدني تواجه العديد من التحديات، خاصة في البلدان التي تعاني من أزمات إنسانية وعدم استقرار، ما يؤدي إلى تباين كبير في مدى اكتمالها ونوعيتها، وفي قدرة البلدان الأعضاء على تجميع تقارير الإحصاءات الحيوية. وقد وضعت الإسكوا وشركاؤها إطارًا إستراتيجيًا إقليميًا لتعزيز نظام التسجيل المدني والإحصاءات الحيوية في المنطقة العربية للفترة 2021-2025، يهدف إلى تحسين أنظمة التسجيل المدني وتحديثها، بما يتماشى مع أولويات السجلات المدنية في كل بلد.
Description: You are cordially invited to participate in the webinar on “Experience sharing on the modernization and use of administrative data and records for statistical purposes” taking place on 28 and 29 June 2022 at 3:00-5:30 pm EAT (GMT+3). The webinar will provide a platform to share experiences and best practices in the modernization and use of administrative data and records for statistical purposes from national statistical offices in Africa and beyond. It will also highlight the challenges countries that successfully use this source of data faced during the modernization process and how they were addressed. The webinar will also serve as a forum for African countries to share information on the kind of support they need from partners to implement a roadmap to modernize their administrative data and registers for statistical purposes. It will also help to share information on available tools, materials, and programmes supporting this. The webinar is organized by the Economic Commission for Africa, in partnership with UN-Women; the African Union Commission; the National Institutes of Statistics of Burundi, Cameroon, Niger and Sierra Leone; and the Office of National Statistics of the United Kingdom’s. The conversations will take place in both English and French, with simultaneous translation. Please register by clicking on the following link: https://us06web.zoom.us/meeting/register/tZIsf-ysqDsiG9aKqPsxNu5p7QA93XvqHGZ4
Description: This will be an in-person training course delivered at the SARTTAC offices in New Delhi. Fiscal analysis continues to evolve, and the changed economic environment requires improvements in data to formulate and evaluate fiscal policies. Additionally, the demand for fiscal data for the purposes of identifying and managing fiscal risks, has grown. Public sector balance sheets (PSBSs) provide the most comprehensive picture of public wealth and account for what the state owns and owes at any point in time, thus offering a broader fiscal picture beyond gross debt and flow measures such as the deficit. PSBS is aligned with the methodology outlined in the Government Finance Statistics Manual 2014 (GFSM 2014). This course will provide the opportunity for participants to understand more about the financial and nonfinancial assets and liabilities of the public sector and the metrics that can be derived from these data (including debt). The course will provide detail on specific topics such as pension liabilities, and measurement of nonfinancial assets including natural resources. Given the relevance for fiscal risk analysis, the course will go beyond balance sheets and explain the concepts of contingent liabilities and what should be reported. The course will consist of presentations, group exercises as well as homework that will ultimately provide the participants with the skills to assist in improving entries for their home country on the Public Sector Balance Sheet database. Participants' questions/concerns will be invited and entertained throughout.
Description: FAO Integrated Monitoring Initiative for SDG 6 (IMI-SDG6), in collaboration with AQUASTAT and the Office of the Chief Statistician, is organizing a regional 2-week interactive online training course on SDG indicators...
Description: FAO, Digital Earth Africa and the UN Statistics Division are organizing a capacity-building workshop on the methodology for calculating SDG indicators 2.4.1 and 15.4.2 through the integration of statistical and geospatial information.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Participants will understand different quality concepts, European Statistical System (ESS) quality criteria, the European Statistics Code of Practice and its Common Quality Framework and know how to apply methods to measure quality concepts.
Target Audience: Employees of national statistical agencies involved in quality management, measurement and reporting.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Description: In 2018, UNECA and UNCTAD, with the cooperation of UNODC, inaugurated a new Development Account project called “Defining, estimating and disseminating statistics on illicit financial flows in Africa”. The project aimed at consolidating existing and testing new methodological guidelines for the measurement of Indicator 16.4.1 “Total value of inward and outward illicit financial flows (IFFs)”, as well as to build and strengthen statistical capacity by providing technical assistance and guidance to pilot countries for the measurement of such indicator. As a result, an UNCTAD/UNODC Conceptual Framework for the Statistical Measurement of Illicit Financial Flows was published in October 2020, and in June 2021, UNCTAD published Methodological Guidelines to Measure Tax and Commercial IFFs for pilot testing. Large-scale pilot testing has been ongoing in 2021-2022 of the UNCTAD Guidelines in eleven African countries: Angola, Benin, Burkina Faso, Gabon, Ghana, Mozambique, Namibia, Nigeria, Senegal, South Africa and Zambia. A hybrid Closing Conference of the project is being organized to discuss the implementation of activities related to the measurement of tax and commercial IFFs in the eleven African countries. Each national representative will present the process; results; lessons learned and next steps of their countries’ involvement in the measurement of IFFs. Discussions will also focus on common grounds and initiatives of other stakeholders in curbing IFFs in Africa, and on the next steps for policy actions.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The content produced by a statistical organisation is essentially facts and figures. This course will explain how you can translate it to a more understandable and simple way and reach everybody outside the statistical world. Writing in a clear, concise and simple manner while avoiding statistical jargon.
Target Audience: Staff drafting /writing statistical texts and articles for publications, the web or any other type of product. Staff working in the communication/dissemination/press departments with the role of promoting the widest possible dissemination and use of official statistics.
Organizer(s): SESRIC Economic Cooperation Organization DOSM Malaysia
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Big Data Applications on Price Intelligence’ in collaboration with the Economic Cooperation Organization (ECO) for the benefit of National Statistical Offices (NSOs) of OIC countries on 14-16 June 2022. Ms. Maslina Samsudin, Deputy Director; Ms. Mazliana Mustapa, Principal Assistant Director; Mr. Wan Ahmad Ridhuan Wan Jaafar, Senior Assistant Director; and Ms. Noradilah Adnan, Assistant Director at the Department of Statistics Malaysia (DOSM), will conduct the course and cover the following topics: Overview on Big Data Compilation of Consumer Price Index (CPI) in Malaysia Price Intelligence Module in Price Intelligence Data Acquisition (Data Crawling) Data Management including Classification and Data Generator Data Visualisation including Demo on Price Intelligence Visualisation using Tableau The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat Statistics Lithuania
Description: The conference aims to bring together statisticians, academics and stakeholders to reinforce the dissemination of knowledge and recent research on emerging questions related to quality in official statistics. Furthermore, the conference aspires to foster cooperation between users and producers, to enhance cooperation and exchange between official statistics and the scientific community, and to provide a forum for the exchange of good practice in meeting new challenges in official statistics. The event will also focus on the institutional challenges of quality management, quality assurance in the emerging data ecosystem, and new challenges in creating and maintaining trust among users, as well as new opportunities in the face of global crises. This conference should also draw the attention of governmental bodies to the importance of high-quality, timely and more detailed statistics, and increase awareness among other stakeholders of the challenges faced by producers of official statistics, especially in times of crisis. In addition, one-day training courses on quality management, the role of statistics in the era of Big Data and in a future society, innovation and modernisation practices, as well as data journalism and data visualisation, will be held the day before the conference – 7 June 2022.
Description: The discipline of official statistics is poised for a revolution, with the emergence of data science. In its traditional form, official statistics have been about managing massive outbound and reverse logistics. This was particularly evident when conducting censuses and surveys, as massive numbers of people and materials were sent out to collect data. Previously, these exercises were conducted through paper-based methods, but are now executed with handheld digital instruments. The digital transformation of official statistics should not stop at the data collection level, however; it should reform the entire production process through the exploitation of new digital means, frameworks, and approaches. Therefore, the objective of this session will be to discuss: The risks, challenges and opportunities associated with innovation in official statistics. The digital and data skills needed by national and international statistical organizations to respond to the changing nature of work and society in the future. The potential collaborative and open innovation to assist these institutions in the production of “augmented data”. The opportunities for partnership with civil society and stakeholders to implement digital tools and skills. Shaping an innovation implementation pathway based on best practices and success stories.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘SDG 5 (Gender Equality) Indicators’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 7-8 June 2022. Ms. Aslı Aşık Yavuz, expert at the Turkish Statistical Institute (TurkStat), will conduct the course and cover the following topics: TurkStat’s Experience on Sustainable Development Indicators Introduction to SDG 5 (Gender Equality) Indicators SDG 5 Indicators of Türkiye Road Map for Unavailable SDG 5 Indicators Usage of the SDG 5 Indicators in International Reporting Other SDG 5 Reporting Possibilities and Suggestions for Türkiye The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 31 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). Both a brief, overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered. Introductions to each of the 3 main accounts, Environmental Taxes, EGSS, EPEA, plus some relevant extensions such as environmental subsidies and related transfers and ReMEA (resource management expenditure accounts) will be in focus. The course will make emphasis in putting together the practical difficulties that participants have in their offices to produce the monetary environmental accounts and discussing solutions and best practices.
Target Audience: Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above Managers with responsibility on several or all the areas listed above.
Description: For this Global Network Webinar we had Gianfranco Cecconi from Capgemini Invent with us who spoke about ‘Unleashing data sharing – 20 years of European Union experience, and what comes next’. Since the original Public Sector Information Directive in 2003, the European Union (EU) has been committed to unleash the value of data for its citizens and businesses, by supporting the development of data sharing in and among its Member States. Starting from government-owned open data first, it evolved and shifted focus to data sharing in general with the European Strategy for Data in 2020. The talk presented the spectrum of actions that the EU has undertaken to implement and support its policy, through data.europa.eu (government open data) and Support Centre for Data Sharing (data sharing in general), shared the learnings from those experiences, and offered a glimpse of the “data space” model for data sharing, that characterizes all upcoming EU data policy investments, starting from the ongoing Digital Europe programme.
Organizer(s): UN Global Pulse Ministry for Foreign Affairs Finland
Description: Digital Public Goods are a fundamental pillar in achieving the Sustainable Development Goals and driving the United Nations (UN) Roadmap for Digital Co-operation. UN Global Pulse has been working to identify what innovators need to ensure their products are able to scale successfully. UN Global Pulse and the Ministry for Foreign Affairs of Finland invite you …
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The Asia-Pacific Stats Café Series on Mainstreaming Gender in Official Statistics: Practical Insights, was held virtually on 7 June 2022, 11:00-12:15 (UTC+7). Attendance summary Flyer About the session This Stats Café attempted to bring experiences from across the region on practical approaches to mainstreaming gender in official statistics. The Stats Café also launched the eLearning course on “Using Gender Data for Analysis, Communications and Policy-making in the context of SDG monitoring and beyond” developed by ESCAP, UN Women and SIAP. Background Gender equality has been increasingly recognized as essential to the process of sustainable development and for the effectiveness of national development policies and plans. Gender statistics and indicators are important tools to promote gender equality and implement a gender mainstreaming approach. The demand for gender statistics has increased over the years owing to international conventions and development goals at various levels. While the Sustainable Development Goals have a stand-alone goal to promote gender equality (Goal 5), gender has also been integrated across several of the other goals and targets to ensure effective outcomes for women and men in various aspects of development. Using data and statistics to adequately reflect differences and inequalities in the situation of women and men in all areas of life requires a strategy of mainstreaming gender in all stages of data planning, production, use and analysis. Agenda for this session Welcome remarks: Rachael Beaven, Director, Statistics Division, ESCAP Mainstreaming gender in official statistics: from concepts to practical approaches: Sara Duerto Valero, Regional Advisor on Gender Statistics, UN Women Regional Office for Asia and the Pacific Mainstreaming gender in the Philippines Statistical System: Wilma A. Guillen, Assistant National Statistician, Head of the Social Sector Statistics Service, Sectoral Statistics Office of the Philippine Statistics Authority (PSA) Identifying and analyzing gender dimensions of Civil Registration and Vital Statistics using death registration data in Fiji: Meli Nadakuca, Statistician, Vital Statistics, Demography & GIS Unit, Fiji Bureau of Statistics Mainstreaming gender in statistical training: Sinovia Moonie, Statistician/ Lecturer, Statistical Institute for Asia and the Pacific (SIAP) Christophe Bontemps, Statistician/ Lecturer, Statistical Institute for Asia and the Pacific (SIAP) Moderator: Sharita Serrao, Statistician, Statistics Division, ESCAP , Stats Café Home: Upcoming events Concluded events in 2021 Concluded events in 2020
Source: Eurostat (Data extracted on: 26 Oct 2021 )
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Organizer(s): Eurostat EFTA
Description: Introduce the GSBPM and how it applies to quality control in NSI’s Introduce R and its basic functions Present how R can be used within NSI’s for processing, analyzing and creating output for users Introduce the tidyverse and how it can be used for data wrangling Present ggplot and how it can be used to produce graphs Introduce RMarkdown and how to write reports through R.
Description: The African Centre for Statistics (ACS) of the United Nations Economic Commission for Africa (ECA), in collaboration with the United Nations Statistics Division (UNSD) will organize a virtual third regional thematic seminar on System of National Accounts (SNA) Update Programme from 6 to 9 June 2022. The regional thematic seminar is part of the follow-up actions recommended by the Global Consultative Group of Experts on National Accounts (AEG) responsible for updating the SNA. This follows the information seminar detailing the new procedure on the 2008 SNA update process held in June 2021 and a second regional thematic webinar held in November 2021 which was focused on some of the major research areas of the SNA. The main objective of this thematic seminar is to provide a forum for all African countries to be engaged and participate directly in the global SNA update programme by discussing and commenting on the guidance notes (GNs) and participating in the assessment and experimental estimates (AEE). The online seminar will focus on five priority areas and thematic topics: communication, financial and payments systems, globalization, well-being and sustainability, and Islamic finance. On-line registration to participate in the meeting can be made by using the hyperlink provided below until 5 June 2022: https://indico.un.org/event/1001443/registrations/8015/
Description: SESRIC, in its capacity as the Secretariat of OIC Statistical Commission (OIC-StatCom), will organise a Workshop on ‘Modernising Statistical Legislation’ in collaboration with the United Nations Statistics Division (UNSD) on 1-2 June 2022 through a video conferencing platform. The National Statistical Offices of OIC countries and international organisations, namely United Nations Economic Commission for Europe (UNECE), United Nations Economic and Social Commission for Western Asia (UNESCWA), United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), United Nations Economic Commission for Africa (UNECA), and Partnership in Statistics for Development in the 21st Century (PARIS21) will participate in the workshop. Organised within the framework of the Programme of Action 2021-2025 of the OIC-StatCom Strategic Vision for 2030, the Workshop has the objective to provide a platform to share experience and best practices among the OIC countries in the modernisation of legal and institutional frameworks of official statistics. The Workshop will cover the following topics: Key Elements of Statistical Legislation and Generic Law on Official Statistics Country Challenges and Experiences in Modernising Legal Frameworks for Official Statistics Country Challenges and Experiences in Enforcing Modern Legal Frameworks for Official Statistics Emerging Issues Related to Statistical Legislation in the New Data Ecosystem Modernising Statistical Legislation – Way Forward Document: Concept Note and Work Programme (English) (Arabic) (French)
Description: UNWTO, the German Development Agency (GIZ) and UN Women are collaborating on an innovative project focused around the UNWTO Action Plan on Women in Tourism that arose from the findings of the Global Report on Women in Tourism, Second Edition. The Centre Stage project will see UNWTO foster commitment, provide support and monitor implementation of the Action Plan on Women in Tourism in four countries across the Middle East and the Americas. It aims to place women’s empowerment and gender-equality centre stage during tourism’s recovery from COVID-19 and increase the production and reporting of sex-disaggregated tourism data. As recent UNWTO publications on women in tourism have found, there is an acute lack of available, sex-disaggregated data on employment in the tourism sector and an urgent need to improve the collection of comparable tourism data and gender statistics across world regions. Sex-disaggregated data is particularly critical for developing evidence-based policies and programmes to strengthen the tourism sector’s contribution to the achievement of gender equality and women’s empowerment as the sector recovers from the COVID-19 pandemic.
Target Audience: * National Tourism Administration representative(s); * National Statistics Authority representative(s); * National Employment Authority representative(s); * National Gender Mechanism representative(s).
Source: Eurostat (Data extracted on: 29 Nov 2021 )
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Organizer(s): Eurostat EFTA
Description: To provide the participants with basic understanding on how to produce statistics with the use of geocoded statistical registers and map databases. Emphasis is on the use of Vector data and Vector tools. Each participant will at course start need to choose whether they wish to follow the course in GIS-tools QGIS or ArcGIS Pro.
Target Audience: Target group are persons with little to some practical experience in GIS/ GI/ cartography, which want to make use of GIS in producing statistics or analysis. All exercises will be offered in parallel in two different GIS-tools, QGIS and ArcGIS Pro.
Description: National and local governments increasingly recognize the benefits of leveraging the power of new data sources and technologies to increase the availability of data for improved policies, decision-making and service delivery for its citizens. In response, both National Statistical Offices (NSOs) and City Data Officers (CDOs) have concentrated on adopting new methods and tools to harness the unprecedented amount of data transmitted by social, economic, and environmental systems. These sources of data, whether from citizens, devices, buildings, and assets are a powerful resource for the management and monitoring of public services such as traffic and transportation systems, power plants, utilities, water supply networks, waste, and crime detection. There is much that NSOs and CDOs can learn from each other on how they are bringing about a data-driven culture in their respective work. Preliminary results from the Working Group on Data Stewardship’s workstream on Data stewardship and the city data agenda highlight certain enablers to promote a data-driven culture among policy and decision-makers. For instance, putting a focus on creating value from data first and expanding to an enabler of data quality second, understanding whole-of-Government use of data to improve data products, services, and the user experience, and strengthening technical, interpersonal and networking skills to enhance data literacy within Government and leverage the data as a strategic asset. This webinar, part of the UN World Data Forum webinar series, will bring together experts to: Showcase examples of data-driven smart cities for improved service delivery for citizens; Highlight challenges and opportunities of enabling a data-driven culture within Government; Put forward ideas on how to pull the National Statistical Office and city Chief Data Officer communities together to focus on capacity development and experience-sharing.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat GOPA
Description: Drawing from work done in the past few years in the context of Large Case Units and European Profiling, and to support the ongoing move to a more systematic and coordinated approach to globalisation-related activities in the ESS, this course should support managers/statisticians involved in business/macroeconomic and globalisation statistics growing need to understand well and interact successfully with multinational enterprise groups (MNEs) operating in Europe. The course will aim at providing the participants with an improved statistical skillset to tackle Multinational Enterprise Groups issues, including: * A better understanding of the MNEs structure, organization and activities; * A better understanding MNEs accounting and reporting concepts and standards; * Searching and using financial information on MNEs; * Role of profiling and practical implementation.
Target Audience: Managers and statisticians fully or partially involved in the domain of business statistics, macroeconomics and globalisation statistics.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat CZSO Czechia
Description: To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Statisticians dealing with compilation of annual energy statistics – advanced users of energy statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with information on theory (methodological framework) and practical challenges in the context of the compilation of Physical Environmental Accounts (Eurostat questionnaires).
Target Audience: * Statisticians involved in compiling data on economy-wide material flow accounts (EW-MFA), air emission accounts (AEA) or physical energy flow accounts (PEFA) under Regulation (EU) 691/2011. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above,
Description: The regional training workshop was held virtually from 27 May to 3 June 2022, as part of a project to strengthen capacity to implement inequality assessments of civil registration and vital statistics (CRVS) systems, which has been initiated by ESCAP and includes both in-country and regional level capacity strengthening activities. One element of this project relates to training on demographic skills to enable countries to implement the inequality assessments. The workshop aimed to provide technical guidance and enhance expertise on demographic evaluation of age and sex data collected in national censuses. The workshop offered instructional material via pre-recorded videos, allowing participants to download and work through that material in their own time in the weeks preceding the scheduled workshop, with material being released in three batches weekly from 9 May 2022. The opening of the workshop and explanations was commenced on 27 May 2022, followed by the interactive part of the training starting on 30 May 2022 which was structured around two short plenary sessions, a set of three groups of staggered practical workshops to allow participants to select the time most convenient for them and one on one consultations by appointment. For more information on the pre-recorded videos and the staggered practical sessions and consultations and their timings, please see the concept note. Background As part of the proclamation of the Asia and Pacific Civil Registration and Vital Statistics (CRVS) Decade (2015-2024), governments in the region requested that further regional action be taken to support the improvement of CRVS systems and the production of vital statistics. Goal three of the regional action framework calls for the production and dissemination of accurate, complete and timely vital statistics (including on causes of death). One of the targets under this goal further expands that nationally representative statistics - using registration records or other valid administrative data - should allow for key disaggregation, namely by age, sex, geographic area, administrative subdivisions and other subgroups and characteristics of the vital event. Demographic statistics, whether produced using population censuses), registration data or other administrative data sources or household surveys may be subject to error which can impact the accuracy of statistics. Therefore, appraisal of demographic data is an essential task for data users, to take into consideration any potential errors or biases that may impact the accuracy of the estimates being produced. Underpinning the three components of population change (fertility, mortality and migration) are age and sex distributions of a population. ESCAP Statistics Division run a regional training workshop for member states on the demographic evaluation of age and sex data collected in national censuses. , HOME - Project: Implementing Inequality Assessments Project countries: Bangladesh Fiji Lao PDR Pakistan Samoa Resources Regional Events
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘SDG 2 (Zero Hunger) Indicators’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 25-26 May 2022. Mrs. Pazlina Waty Che Pah, Senior Assistant Director at the Department of Statistics Malaysia (DOSM), will conduct the course and cover the following topics: Overview of SDG 2 Indicators Concepts and Definitions Methodology Data sources SDG 2 Indicators Produced by Malaysia Road Map for Unavailable SDG 2 indicators Usage of the SDG 2 Indicators in International Reporting The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: IOM GMDAC (Data extracted on: 31 May 2022 )
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Organizer(s): IOM African Union OECD Statistics Sweden
Description: GCM objective 1 “Collect and utilize accurate and disaggregated data as a basis for evidence-based policies” implies harmonized methodologies on collection, analysis and dissemination of migration-related data. In concrete terms, this will take the form of i) household survey , Labour force and other post-census surveys to collect information on the social and economic integration of migrants or add standard migration modules to existing household surveys ii) Use administrative records, such as border records, visa, resident permits and other sources, to produce migration-related statistics iii) Develop country-specific migration profiles to foster evidence-based policy development through collecting and sharing data on all migration-relevant aspects In addition to this, the remaining GCM objectives will require some type of follow-up and review, supported by data.
Description: For this joint Global Network and ISWGHS Webinar we had with us Patricia Goerman, Mikelyn Meyers, and Yazmín Garcia Trejo from the U.S. Census Bureau with us who talked about Including Respondent Perspectives in International Survey Development to Improve Quality and Comparability of Data across Languages. The foundation of high-quality data is the design of surveys containing clear and concise questions. Well-understood questions help to ensure that differences found in response distributions across populations are valid and not an artifact of respondents interpreting survey questions. When a survey spans multiple countries or languages, it is even more challenging to ensure this. In this webinar our speakers first discussed best practices for survey translation. Next, they turned to the topic of questionnaire pretesting methods, focusing in particular on how they implement the methods to test translated questionnaires at the U.S. Census Bureau. Among other things our speakers presented a few emerging methods for including respondent voices in survey development.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Discover the 'Sustainable Development Goals (SDGs) - monitoring report - 2022 edition' that was published in May 2022 and learn about the European Union's progress towards Sustainable Development Goals and the impact of the COVID-19 pandemic. You will have the possibility to see where each EU Member State stands in comparison with the EU average. The 17 SDGs, which are at the heart of the UN's 2030 Agenda for Sustainable Development, provide a policy framework worldwide towards ending all forms of poverty, fighting inequalities and tackling climate change, while ensuring that no one is left behind.
Description: This course, presented by the IMF Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: Recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation;nbsp; Implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; Data dissemination and requirements of the World Bank39;s Quarterly External Debt Statistics (QEDS) database.
Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course shall democratize the accessibility of privately held data and valorisation thereof; * Get to know the techniques and tools to access privately held data; * Understand the stages of data valorisation pipelines; * Familiarize with the European Data Strategy and Digital Strategy; * Experiment with webscraping and API interfacing techniques; * Gain hands-on experience with data mining techniques from privately held data sources.
Target Audience: Official Statisticians wishing to develop a toolbox for data acquisition with respect to privately held data at national level.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Survey Methods and Sampling’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 23 – 26 May 2022. Mr. Cenker Burak Metin, Head of Survey and Sampling Design Group at the Turkish Statistical Institute (TurkStat) will conduct the course and cover the following topics: Definition of a statistical survey and basic concepts Defining the survey objectives, variables and concepts Survey planning and steps of a survey Data collection methods PAPI, CATI, CAPI and other methods Introduction to Sampling Design Implementation of Sampling Techniques Estimation theory for sample surveys The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Illustrate “standardisation” activities within the European Statistical System and, more in general, within the statistical community; * Explain how to define a standardization strategy to improve the statistical business processes; * Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI); * Introduce open data (RDF, DCAT) and spatial (INSPIRE) standards; * Highlight the relationships between conceptual and implementation standards; * Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to metadata management, data dissemination and data reporting.
Target Audience: Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge.
Source: Eurostat (Data extracted on: 13 Apr 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance the theoretical and practical knowledge of waste statistics validation approaches. The main focus will be on validation routines, looking at strengths and weaknesses in the chosen approaches and possibilities for shared responsibilities between countries and Eurostat. The course will explore possible ways of avoiding duplication of validation routines and in waste statistics and means of obtaining more effective statistics.
Target Audience: Staff members involved in the production of official waste statistics, advanced level.
Description: This study examines gender inequality in the context of structural transformation and rebalancing in China. We document declining women’s relative wages and labor force participation in China during the last two decades, despite rapid growth and expansion of the service sector. Using household data, we provide evidence consistent with a U-shaped relationship between economic development and women’s labor market outcomes. Using a model of structural transformation, we show that labor market barriers for women have increased over time. Model counterfactuals suggest that removing these barriers and increasing service sector productivity can boost both gender equality and economic growth in China.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat
Description: The course will focus on advanced methodological and validation issues of energy statistics, aiming at improving the quality aspects of annual energy statistics: quality aspects in focus of this training will be coherence and comparability of data.
Target Audience: Statisticians dealing with compilation of annual energy statistics – advanced users of energy statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: As part of WHO ICD-11 webinar series, the Classifications and Terminologies Unit is organising a webinar on the 16th of May 2022 on: ''ICD-11 implementation strategy and country experiences'' Overview of ICD-11 Country experiences in ICD-11 implementation: * in morbidity coding; * in cause of death coding. Do's and Don'ts in implementing ICD-11
Description: About the session This Stats Café sought to share experiences of countries in the assessment, analysis, and redesign of their CRVS systems using the CRVS System Improvement Framework, including reflections on how the results of this project have informed improvement policies and ongoing system strengthening efforts. The event began with an overview of the CRVS Systems Improvement Framework, followed by three countries sharing their experiences and lessons learned from applying this methodology. Background A well-functioning civil registration and vital statistics (CRVS) system helps ensure that every person has a legal identity, facilitating access to essential benefits and protections of the State.However, in many countries throughout Asia and the Pacific, many people face significant barriers to register a vital event such as a birth or death, often due to the complexity of the process, the time and number of trips needed, distance to the registration facility and the documentation requirements, to name just a few of these barriers. To support countries in identifying where the bottlenecks are in civil registration processes, some countries in Asia and the Pacific have been utilizing a Business Process Improvement approach to assess, analyse and redesign the underlying processes of their civil registration system, with the end goal of streamlining civil registration processes to alleviate the burden on families reporting vital events. The CRVS Systems Improvement Framework, which was developed under the Bloomberg Philanthropies Data for Health Initiative in collaboration with other development partners, provides detailed guidance for countries to apply an innovative, multi-sectoral, participatory and processcentric approach to examine current CRVS processes, identify gaps and determine areas for improvement. Vital Strategies, ESCAP and WHO-SEARO have been supporting countries in the region to implement Phase 1 of this Framework which includes a detailed process mapping of two selected civil registration processes (usually birth and death registration) and the identification of performance issues and potential improvement policies. Assessment, Analysis and Redesign of Civil Registration and Vital Statistics Processes - Maldives Download the report This report documents the results of the work of the Maldives Core Team in the implementation of the “Assessment, analysis, and redesign” stage of the CRVS System Improvement Framework. Using the methodology and the tools defined by the CRVS System Improvement Framework, the Core Team, supported by a Country Coordinator and a Senior Adviser, organised a range of online and in-person consultations to apply the Framework tools. The consultations enabled the Core Team to provide detailed descriptions of existing birth and death registration business processes, analyse aspects of the processes affecting performance, and design a vision for improving registration business processes, overcoming performance bottlenecks, and increasing overall efficiency. The report is organised into four distinct parts. The first part introduces the key characteristics of the Maldives CRVS system, as well as background information on the CRVS System Improvement Framework and the methodology for implementing the Framework implementation in the context of Maldives CRVS business processes. The second part of the report provides a detailed description of birth and death registration business processes as presently operated in Maldives. The third part of the report documents the analysis conducted by the Core Team to determine existing business processes, performance bottlenecks and their root causes, as well as redesign suggestions and how best to prioritize improvements. Finally, the fourth part of the report envisions the processes that would emerge after improvement policies are implemented. , Stats Café Home: Upcoming events Concluded events in 2021 Concluded events in 2020
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic and social classifications, their content and use.
Target Audience: Any statistician of a National Statistical Institute (including newcomers) dealing with any statistical domain and wishing to understand better the system of classifications used.
Source: World Bank (Data extracted on: 18 Apr 2022 )
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Organizer(s): World Bank Center for Effective Global Action, United States
Description: It is nearly impossible to participate in the modern economy without mobile devices. Over 6 billion people now have access to smartphones, and the use of sensors to measure things like power quality, cookstove use, and air pollution are becoming more common. The expansion of mobile banking, online social networks, and the sharing economy have made mobile devices essential parts of every day social and economic activity. As a result of their ubiquity, mobile measurement tools and mobile data offer an attractive resource for researchers interested in addressing complex challenges like poverty, climate change, and public health crises around the world. At Measuring Development 2022: The Role of Mobile Data in Global Development Research, we’ll take a look at how researchers and policymakers are using mobile data to conduct innovative research to solve global challenges. MeasureDev will feature a series of presentations, panel discussions, and lightning talks on novel applications of mobile technology and mobile data for research. Participants will learn about the frontiers of measurement using mobile devices, and gain perspectives from leading academic and industry pioneers. Researchers, graduate students, practitioners, policymakers, and industry partners are all welcome to submit to our call for speakers using the form above.
Title in Arabic: تصميم العينات ومنهجيات المسوح في الاحصاءات الرسمية
Organizer(s): AITRS
Description: مواصلة للدورة التدريبية التي نظمها المعهد خلال الفترة 15 فبراير / شباط - 13 نيسان / ابريل 2021 حول مجال العينات بواقع 45 ساعة واعتبارا لأهمية هذا المجال لما له دور أساسي في تخطيط وبرمجة واعداد المسوح الإحصائية والمشاكل التي تواجه عملية الاستقصاء وجمع البيانات الإحصائية وأثر العينة على نتائج تلك المسوح والية اختيار المناسب منها، سينظم المعهد دورة تدريبية متقدمة حول تصميم العينات ومنهجيات المسوح في الاحصاءات الرسمية بالاضافة الى استعراض المستجدات التي طرأت في علم العينات واستخدام التقنيات الجديدة والبرمجيات الحديثة. ,تهدف هذه الدورة الى: * ترسيخ المفاهيم الضرورية لتصميم عينات المسوح الإحصائية * اعداد وتجهيز اطر المعاينة وسحب العينات منها * حساب الاوزان وتعديلها ومعايرتها * حساب التباين والدقة في التقديرات الناتجة من المسوح بالعينة * استخدام البرامج الحديثة في سحب العينات وحساب التباين * ضبط ومراقبة الجودة في كل مراحل العمل
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat
Description: The objective of this course is to provide the participants with an overview of Statistical disclosure theory and methods related to tabular data protection and microdata protection, as well as the respective software. Participants will be asked to bring case studies that will be discussed in the training.
Target Audience: Staff dealing with statistical confidentiality. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: The UNSD, Group of Experts on Geographical Names (UNGEGN) organized and staged the webinar Developing Digital Gazetteers Using Free and Open-Source Software on Tuesday 10 May 2022. The objective of the webinar was to increase awareness and strengthen capacity within the UNGEGN community, on the use of free and open-source software to develop digital gazetteers. The webinar was also done in support of the implementation of the UNGEGN Strategic Plan and Programme of Work 2021-2029, specifically strategies 1 and 5, which are technical expertise and promotion and capacity building respectively.
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2021 ICP for Asia and the Pacific - Thirteenth Regional Workshop: Inter-economy validation of housing rental data
Title in Spanish: Curso de Introducción a la Contabilidad de Ecosistemas del Sistema de Contabilidad Ambiental y Económica para países de América Latina y el Caribe
Organizer(s): ECLAC
Description: La Comisión Económica para América Latina y el Caribe (CEPAL) está organizando el curso virtual sobre el Sistema de Contabilidad Ambiental y Económica - Contabilidad de Ecosistemas (SCAE-CE0 [System of Environemntal-Economic Accounting - Ecosystem Accounting (SEEA EA)] que se llevará a cabo del 9 al 27 de mayo de 2022. El SCAE-CE es el estándar estadístico internacional para la organización de datos sobre los ecosistemas, la medición de los servicios ecosistémicos, el seguimiento de los cambios en los activos ecosistémicos y la vinculación de esta información con la actividad económica y otras actividades humanas. El marco del SCAE-CE se basa en un enfoque espacial para la organización de la información sobre los ecosistemas. Sirve como apoyo a la compilación de indicadores para varios marcos mundiales, incluyendo la Agenda 2030 para el Desarrollo Sostenible y la Agenda Global de Biodiversidad posterior a 2020. El SCAE-CE complementa las cuentas del Marco Central del SCAE (SCAE-MC) y juntos proporcionan un marco completo para organizar los datos sobre la relación entre el medio ambiente y la economía. El curso tiene el objetivo introducir los principales conceptos del marco del SCAE-CE a todos los países de la región de América Latina y el Caribe. Está integrado por dos componentes: asincrónico y sincrónico. El primero se desarrolla como aprendizaje autónomo y, el segundo, con la participación en cuatro webinarios con expertos en contabilidad de ecosistemas que revisarán conceptos y resolverán dudas o comentarios. El curso tendrá una duración aproximada de 20 horas y se conducirá en idioma español con interpretación inglés-español durante los webinarios. El aprendizaje autónomo (asincrónico) comenzará el 9 de mayo y se llevará a cabo a través de la plataforma de aprendizaje de la CEPAL. Después de registrarse los participantes recibirán más información. El curso incluye cuatro webinarios sincrónicos (en directo) entre participantes e instructores para compartir dudas y comentarios sobre las sesiones revisadas en la semana a través de una plataforma telemática reconocida.
Source: Eurostat (Data extracted on: 13 Apr 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course shall democratize the use of blockchain technology; * Understand the cryptographic principles behind blockchains; * Understand the components of blockchains; * Get to know impactful use cases of blockchain; * Get to know the ecosystems of available blockchains and tools; * Develop an application on the Ethereum blockchain.
Target Audience: Official statisticians/data scientists working on methodology.
Title in Arabic: استخدام البرامج الاحصائية في التحليل الديموغرافي والاسقاطات السكانية
Organizer(s): AITRS UNFPA ESCWA
Description: تنبع أهمية هذه الورشة من الأهمية البالغة التي توليها الدول لدراسة الخصائص والاتجاهات والتغيرات الديموغرافية باعتبار تأثيرها المباشر في كافة مناحي حياة المجتمعات البشرية التي ترتبط ارتباطاً مباشراً بعددهم وتركيبهم وبالتغيرات التي طرأت وتطرأ عليهم. وتوفر وتوفر البيانات والمؤشرات الديمغرافية والسكانية عدة استعمالات منها بالأساس: * التشخيص: معرفة وفهم الوضع الراهن واكتشاف وتحديد القضايا/المشكلات ومن ثم التخطيط للعمل على تغيير الوضع الراهن إلى الوضع المرغوب؛ * التقييم: تقدير مقدار واتجاهات التغيرات أو النجاحات التي حققتها السياسات والخطط والبرامج خلال فترة زمنية معينة؛ * التقديرات والإسقاطات السكانية: توقع الوضع المستقبلي للسكان؛ * حوار السياسات: تساعد المؤشرات الديموغرافية واضعي السياسات على فهم المشكلات القائمة والتباحث حولها وحول البدائل المتاحة لوضع الحلول المناسبة لها؛ * كسب المناصرة أو التأييد والدعم للسياسات والاستراتيجيات والبرامج السكانية ولأهدافها ورصد الموارد المالية اللازمة لتنفيذها.
Description: We are pleased to announce the official launch of the GIS Centre for Health on 9 May 2022. The launch will take place at WHO Headquarters in Geneva. The event will also be live streamed on the WHO Workplace. Geneva-based colleagues are welcome to join in person at WHO Headquarters. The event will include opening and closing remarks by WHO senior leadership; an introduction to the GIS Centre for Health team; a highlight on partners, collaborators, regional offices and inspirational speakers; a panel discussion; a Q&A session and a GIS hands-on workshop. If you can join us in Geneva please register for the event here: https://indico.un.org/event/37794/ If you would like to join us online on zoom, please register here: https://who.zoom.us/webinar/register/WN_V-fQvYE5SsCrJ4f6Yw40YQ
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: Presented by: the ARIES team (Artificial Intelligence for Environment and Sustainability) of BC3 (Basque Center for Climate Change) The Artificial Intelligence for Environment & Sustainability (ARIES) team, in collaboration with the United Nations, has developed a web-based application in support of the implementation of the System of Environmental-Economic Accounting--Ecosystem Accounting (SEEA EA) that was adopted in 2021 as a statistical standard. The ARIES for SEEA Explorer is a computational platform that lowers the barriers to compiling ecosystem accounts. The application can generate a basic set of ecosystem accounts for any user-specified terrestrial area in the world (such as a country, administrative region, watershed, etc.), through its access to hundreds of data sets (from global to local). The Explorer’s technology is based on machine reasoning and chooses the best-available combination of web-hosted data and models for the analysis context. For example, the use of national data is prioritized over global data. In case no national data are accessible to the system for the chosen area of interest, the accounts are generated from global data sets. The current ARIES for SEEA functionalities include land accounts; ecosystem extent accounts (based on the IUCN Global Ecosystem Typology), condition accounts (for forest ecosystem types), and selected ecosystem services in physical and monetary units, using basic models as a starting point. The outcomes can be analyzed and downloaded to further explore and improve the results (either through a spreadsheet or GIS software). The philosophy behind ARIES is based on the principle of interoperability: it enables users to share their own data and models, thereby growing the accuracy of the accounts and the functionalities of the platform. Objective: The objective of this webinar is to present to the Africa NCA community of practice the ARIES for SEEA web-based application and to demonstrate the potential of this technology.
Organizer(s): FAO University of Buenos Aires Argentina
Description: Organised by FAO and the University of Buenos Aires in the framework of the Diploma in sustainability in the food industry, the seminar will cover the topic "Measuring and monitoring sustainable agriculture". The virtual lecture with Arbab Asfandiyar Khan, co-coordinator of SDG indicator 2.4.1, FAO Statistics Division, will be held in English with simultaneous interpretation in Spanish. WHEN | Thursday 5 May 2022 (15:00 - 17:00, Rome time) Register and obtain a free certificate.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This Stats Café aimed to: Shed light on the most current outlook on data on children on the move in ESCAP countries; Identify the critical data gaps and needs that need to be addressed to promote targeted policy and program interventions that can protect and empower migrant and displaced children; Cite relevant country initiatives and good practices that promote the inclusion of data on migrant and displaced children in national data systems; and Introduce to the global statistical community the work being done by the IDAC in trying to close the data gaps on children on the move. Tentative Agenda: Opening remarks by ESCAP: Rachael Beaven, Director, Statistics Division, ESCAP Presentation by the IDAC: Estrella Lajom, Statistics and Monitoring Specialist, International Data Alliance for Children on the Move (IDAC) Minding the Data Gap on Children on the Move Country Perspective: Hataichanok Chinauparwat, Director, Statistical Forecasting Division, National Statistical Office of Thailand Regional Perspective and the Global Compact on Migration: Sabine Henning, Chief, Sustainable Demographic Transition Section, Social Development Division, ESCAP Open Discussion, Q and A: Petra Nahmias, Chief, Population and Social Statistics Section, ESCAP Concluding remarks and wrap up, ESCAP , Stats Café Home: Upcoming events Concluded events in 2021 Concluded events in 2020
Description: A user friendly dashboard to help countries to regulary monitor their progress and make evidence-based decisions about priority areas for action and resource allocation for children's health. This webinar event will showcase the dasbhoard, share the conceptualization process and provide a vision oand recomendations on the potential use to improving accountability for children's rights. Organized by WHO, UNICEF and CAP2030.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Administrative data provides valuable information about national and sub-national responses to Violence Against Women (VAW). UNSD organized a Global Network Webinar on the collection and use of VAW administrative data. During this Webinar, three speakers, Dr. Tamil Kendall from the UN Women, Ms. Carol Watson Williams from rethink Social Development and Ms. Celia Santos Sanchez from Ministry of Equality in Spain, presented of the Global Technical Guidance (forthcoming) and share their experience of the collection and use of VAW administrative data. Dr. Tamil outlined the process included in the Global Technical Guidance with eight steps, highlighting the recommended minimum data set, which includes three types of violence, physical, sexual and psychological. Ms. Carol and Ms. Celia discussed and shared country experience in Jamaica and Spain. During the presentation, they shared their challenges, lesson learned and good practices for collaboration between national statistical system and VAW administrative data producer to improve the collection and use of VAW administrative data. Following the presentations, participants asked questions about the alignments of core indicators to the SDG indicators, different methods to address data gaps, and some key resources on applying different approaches for reliable data collection. In addition, the webinar discussed the custodianship of the prevalence survey and the development of the administrative data system.
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDG and decent work indicators.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics.
Source: Eurostat (Data extracted on: 13 Apr 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with theory and practice of quality management, process and product quality. To this purpose, a brief overview of the ESS quality framework, the quality dimensions and quality management models is given. Then, the focus of the course shifts on process and product quality measurement for statistics based both on traditional surveys and on multiple sources, including administrative data. The statistical process is described and tools for preventing and reducing the errors are presented and discussed. Methods and tools to assess non-sampling errors in statistical products are widely described.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011)—in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Description: This course, presented by the Statistics Department, teaches you how to compile timely, high quality national accounts statistics based on the system of national accounts (SNA) framework. The course introduces the sequence of national accounts, the accounting rules, and the key macroeconomic indicators in the SNA framework. You will learn about gross domestic product (GDP) - the main aggregate of the system, and how to compile consistent and internationally comparable measures of GDP according to the production, income, and expenditure approaches. The course also discusses in detail, how the SNA can be used to track an economy's production, consumption, and income and how to estimate volume measures of GDP.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Description: This course, presented by the IMF Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014, which is harmonized with the System of National Accounts (SNA 2008). The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Are you interested in labour market statistics and want to learn more about the evolution of the EU labour market in 2021 in the light of the COVID-19 pandemic? In this online webinar, you get valuable insight into the latest data on employment from the EU Labour Force Survey (LFS), the largest European household sample survey. Discover how the EU labour market evolved in 2021 compared with previous years and learn more about how it was impacted by the COVID-19 crisis. With 2022 being the European Year of Youth, we have put a special focus on the employment of young people aged 15-29 years in the EU.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Description: The consumer price index (CPI) is one of the most important macroeconomic indicators produced by a country. CPI data are essential inputs for policymakers who require reliable measures of price change to make sound policy decisions. In addition, wages, salaries, government payments, pensions, rent, and other payments are indexed to the CPI and require accurate estimates of inflation. Learn the key concepts and compilation methods required to compile reliable CPI data using the best available methods.
Description: The World Development Report 2021 (WDR) argues that private intent data (also called privately held data) are an alluring candidate to overcome public sector data gaps and offer new perspectives on development problems. According to the WDR, privately held data is in fact “increasingly large in scale, “always on,” zoomed in, and, at times, less biased”. If the value for such data for the public sector is nowadays undisputed, methods and approaches for establishing data pipelines between private and public stakeholders, including in particular National Statistical Offices (NSOs), still vary considerably and there are different routes which stakeholders and NSOs can choose from. One of the most recent approaches emerging across different countries consists in the establishment of public sector data access rights via legislative measures, which can take the form of sectoral (i.e. on transport, energy, finance) or non-sectoral regulations and/or of the revision of Statistical Acts. In this context, the recently published European Data Act constitutes one of the first large-scale and non-sectoral attempts to provide the public sector with a right to access privately held data in particular circumstances. This text seeks to draw a balance between the public sector interest to dispose of private data which might be needed for policy making purposes and private sector interest to protect their data as business assets. It includes specific provisions concerning further data sharing between public authorities and NSOs, thus establishing new avenues for the statistical community to access privately held data. In light of these new developments, this webinar explores the possible implications of the European rules for National Statistical Offices around the world. While most countries are not planning to update their statistical acts or adopt data access rules soon, the Data Act might still affect public and private partners’ strategies and approaches for collaboration and define new incentives or barriers for data sharing across different countries. This webinar, part of the UN World Data Forum webinar series, will bring together experts to: What are the lessons learnt from the European experience in establishing data access rights for the public sector which can be relevant for NSOs? What will be the implications (if any) of the Data Act on the data sharing experiences of NSOs from other countries? How can National Statistical Offices benefit from the promulgation of overarching rules?
Description: The Covid-19 pandemic has disrupted global supply chains, leading to shipment delays and soaring shipping costs. We study the impact of shocks to global shipping costs—measured by the Baltic Dry Index (BDI)—on domestic prices for a large panel of countries during the period 1992-2021. We find that spikes in the BDI are followed by sizable and statistically significant increases in import prices, PPI, headline, and core inflation, as well as inflation expectations. The impact is similar in magnitude but more persistent than for shocks to global oil and food prices. The effects are more muted in countries where imports make up a smaller share of domestic consumption, and those with inflation targeting regimes and better anchored inflation expectations. The results are robust to several checks, including an instrumental variable approach in which we instrument changes in shipping costs with an indicator of closures of the Suez Canal.The speaker shares a recently published and featured Chart of The Week on IMF’s website (How Soaring Shipping Costs Raise Prices Around the World – IMF Blog) and the working paper of the webinar (Shipping Costs and Inflation (imf.org)).This webinar will be delivered in 30 minutes followed by a short Q&A.
Description: Longitudinal or panel surveys are effective tools for measuring individual level changes in the outcome variables and their correlates. One drawback of these studies is dropout or non-response, potentially leading to biased results. One potential reason for dropout is the burden placed on subjects for repeatedly responding to long questionnaires. Advancements in survey administration methodology and multiple imputation software make it possible for planned missing data designs to be implemented for improving the data quality through a reduction in survey length. Many papers have discussed implementing a planned missing data study using a split questionnaire design in the cross-sectional setting, but development of these designs in a longitudinal study has been fairly limited. We propose several methods for implementing split questionnaire designs in the longitudinal setting. Using both simulations and data from a longitudinal study, we compare the performance of these methods. The results suggest that the optimal design depends on both the data structure and estimate of interest. These factors should be taken into account when designing a longitudinal study with planned missing data.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To enable participants: * To have an understanding of the range of techniques which make up a cognitive interview; * To have increased their own ability to do cognitive interviewing; * To have insight into selecting and recruiting respondents; * To have insight into analysing cognitive interview data and creating better survey questions; * To have awareness of a broad range of uses for cognitive interviewing; * To have awareness of the contribution of cognitive interviewing in comparison to other testing methods; * To understand how cognitive interviewing can improve questionnaires on gender topics and thus the associated social statistics.
Target Audience: The course is targeted at NSI methodologists and social scientists whose work involves conducting surveys.
Description: As part of the Centre Stage project, UNWTO is reinforcing its commitment to provide support to increase the production and reporting of sex-disaggregated tourism data in different regions. As recent UNWTO publications on women in tourism have found, there is an acute lack of available, sex-disaggregated data on employment in the tourism sector and an urgent need to improve the collection of comparable tourism data and gender statistics across world regions. Sex-disaggregated data is particularly critical for developing evidence-based policies and programmes to strengthen the tourism sector’s contribution to the achievement of gender equality and women’s empowerment as the sector recovers from the COVID-19 pandemic. Programme overview Understanding the inherent complexity of measuring tourism employment with rigor, finding out that is feasible; Learning how to address a far needed monitoring: sex-disaggregated tourism employment; Inspiration by countries explaining their own experience to be able to measure tourism employment and its disaggregation by sex. Workshop Learning Objectives The goal of this workshop is to become familiar with how tourism employment is measured, its complexity, and how sex – disaggregated data for tourism employment can be obtained. The participants will also have the opportunity to learn from countries that have been able to overcome barriers to achieve it. By the end of this workshop, participants will: Understand the complexity and how to measure tourism employment; Understand different approaches to achieve sex-disaggregated data on tourism employment; Be able to structure their own country’s approach to start measuring sex-disaggregated data on tourism employment.
Target Audience: * National Tourism Administration representative(s), * National Statistics Authority representative(s), * National Employment Authority representative(s), * National Gender Mechanism representative(s).
Description: Learn the basics of CAPI data collection and management, develop your own questionnaires and apply these skills to a wide variety of surveys. The Asian Development Bank in partnership with FAO’s Regional Office in Asia and the Pacific offer two free online courses on computer assisted personal interviewing (CAPI). Registration is now open and enables access to the six-week basic courses beginning 25 April on either Survey Solutions or CSPro (or both), as well as a new course starting 23 May on Advanced CAPI using Survey Solutions. LEARNING OBJECTIVES The basic course will introduce learners to two free CAPI platforms being used by official data collection agencies: (i) CSPro Android developed by the US Census Bureau and (ii) Survey Solutions designed by the World Bank. Through interactive modules, learners will not only pick up the basics of CAPI data collection, management, but will also be able to develop their own questionnaires and apply these skills to a wide variety of surveys. The new advanced course, also developed in partnership between ADB and FAO, will dig into CAPI using Survey Solutions. FORMAT The courses are free and learners can learn at their own pace and during their own preferred time. The training enables learners to use prevalent open software – CSPro or Survey Solutions - to digitize questionnaires and implement data collection on devices such as tablets, mobile phones and computers. This fourth edition includes subtitles in Spanish, Thai and Khmer (Survey Solutions). HOW TO REGISTER We encourage staff interested in enhancing their skills in CAPI to register online by 29 April 2022: Online Training Course on CAPI using CSPro and Survey Solutions (25 April 2022 to 17 June 2022): https://forms.office.com/r/Wyzy7S00VZ Online Training Course on Advanced CAPI using Survey Solutions (23 May 2022 to 1 July 2022): https://forms.office.com/r/HYUvHu72fG
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyse the labour market for the purposes of evidence-based policymaking, including SDG and decent work indicators.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, is intended to broaden participants' understanding of the concepts and methods of compiling CPIs. The course covers the sources and methods for developing weights and sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; quality adjustments; chaining and linking indexes; and meeting data users' needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Source: Eurostat (Data extracted on: 03 May 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: Spatial data science is concerned with analyzing the spatial distributions, patterns, and relationships of data over a predefined geographical region. It relies on the dependence of observations where the primary assumption is that nearby spatial values are associated in a certain way. For decades, the size of most spatial datasets was modest enough to be handled by exact inference. Nowadays, with the explosive increase of data volumes, High-Performance Computing (HPC) has become a popular tool for many spatial applications to handle massive datasets. Big data processing becomes feasible with the availability of parallel processing hardware systems such as shared and distributed memory, multiprocessors and GPU accelerators. In spatial statistics, parallel and distributed computing can alleviate the computational and memory restrictions in large-scale Gaussian random process inference. In this course, we will first briefly cover the motivation, history, and recent developments of statistical methods so that the students can have a general overview of spatial statistics. Then, the cutting-edge HPC techniques and their application in solving large-scale spatial problems with the new software ExaGeoStat will be presented.
Target Audience: Statisticians with interests in High-Performance Computing and large-scale Spatial Statistics.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Big data is increasingly making in-roads in the compilation of official statistics. Not only does it ensure timely availability of statistics but is effective in terms of costs of statistics production. ESCAP developed a big data strategy to ably support its member states innovate statistical production systems. Most of the big data can be collected from administrative sources or computer databases where it is continuously generated. Pioneers of big data have often been private sector enterprises that have adopted various technologies such as machine learning to predict statistical outcomes to meet their business needs. While big data has foot in the private sector, official statistical agencies have begun to adopt it in their operations. Statistical offices have realized the need to remain relevant as well as remain leaders in the production of statistics. Similarly, they are beginning to realise that despite lack of structure and standards, big data complements existing statistical products and offers users another set of statistical information to meet their everyday needs. Over time, users of statistics have emphasized the need for timely statistics. Timeliness of statistics remains a critical aspect of data quality. While traditional statistics are reputed for strong adherence to standards, their timeliness has often been in question. Big data lacks structure but its timeliness, gives statistical agencies a critical tradeoff between timeliness and relevance aspects of data quality. It also gives statistical agencies a good foundation to adopt innovation in terms of how data is collected, processed and its ability to address the ever-changing needs of technology savvy users. Price statistics are one area of official statistics that has increasingly adopted the use of big data in its production amongst some member states of ESCAP region1. Price statistics are often collected through price surveys and indices compiled based on household/retail surveys that are often infrequent or outdated. The increased digitalization of retail business offers an alternative to household surveys and if properly done can enhance the accuracy of price statistics. In view of these developments, ESCAP under the umbrella of the steering group of the regional programme for the improvement of economic statistics in Asia and the Pacific, organised an online seminar on the use of big data in price statistics on 21 April 2022. This seminar was organised as part of implementing the ESCAP big data strategy and targets economic statisticians involved in the compilation and use of price statistics in the Asia-Pacific region. The seminar exchanged and discussed examples of big data use for price statistics production. Experts from the World Bank, Statistical Centre of Iran, and Statistics New Zealand made presentations during the seminar. 1https://www.unescap.org/sites/default/d8files/knowledge-products/Stats_Brief_Issue28_Big_data_for_economic_statistics_Mar2021.pdf
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course: to provide practical training in writing about statistics in clear and understandable language, with the aim to improve the attractiveness and efficiency of presenting statistics, while bearing in mind the principles of the Code of Practice.
Target Audience: Staff involved in/responsible for drafting/writing press releases, statistical texts and articles for NSI’s publications, for the web, for social media or other types of communication channels.
Description: On 20 April, FAO's webinar "Implementation of Ecosystem Accounting: results from a set of pilot studies from OECD and developing countries" provided an introduction to the United Nations System of...
Description: This course, presented by the Statistics Department, is intended to deepen participants’ understanding of the concepts and methods of compiling PPIs and XMPIs. It provides an overview of the steps of index compilation including establishing index weights, sampling establishments, selecting and specifying transactions to be priced, calculating indexes, and disseminating the results. The role of price indexes as deflators in the 2008 SNA is analyzed, as are related principles of scope, coverage, and valuation. Issues related to expanding coverage of the services sectors are emphasized, including an overview of pricing methods for information and communication technology, transportation, distributive trade, and tourism services. The course covers the following topics: calculating elementary aggregate indexes with and without item weights; methods for handling temporarily and permanently missing items; chaining and linking indexes with updated weighting structures; compiling export-import indexes using the hybrid methodology; and expanding coverage of the services sectors. The course follows the principles and recommended practices in the PPI (2004) and XMPI (2009) manuals.
WHD-Training-CARTAC: Coordinated Direct Investment survey (CDIS), Coordinated Portfolio Investment Survey (CPIS), International Investment Position (IIP)
18 Apr 2022 – 22 Apr 2022
Source: IMF Cartac (Data extracted on: 31 Aug 2021 )
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Topics:
External Sector Statistics - CDIS, CPIS, IIP
18 Apr 2022 – 22 Apr 2022
Source: IMF Cartac (Data extracted on: 26 Oct 2021 )
Description: Some 1.3 billion adolescents aged 10-19 years today make up 16 per cent of the world’s population. Up until now, data and insights on the lives of adolescents have been spread across different sources, making them challenging to access. On the occasion of the ECOSOC Youth Forum, please join us for the launch of the Adolescent Data Portal (ADP), which brings together up-to-date data on adolescents in one place for the first time, providing on-demand access to a wider audience. The ADP includes global, regional and national-level data on adolescent well-being across key areas of their lives – health, education, protection and transition to work.
Description: The Data For Now initiative aims to build capacity of national statistical systems to produce better and more timely data to inform policies and monitor progress towards achieving the SDGs and measuring the impact of COVID-19, prioritizing the goals identified by the countries, by leveraging data innovations and better integration of geospatial and statistical operations. In doing so, it follows Data For Now Guiding Principle, where priorities are identified and set by countries which are then guided by various data principles, work approach principles and outcome-oriented principles. In this context, the Data For Now initiative hosted a series of inspiration workshops to expand support to countries through projects funded by Norway, with other donors joining soon. The workshops provided an overview of the initiative, and showcased examples of how some countries are working on some of the core ideas of the initiative, such as prioritization based on country's needs, use of innovative data sources, methods and tools and partnerships, and improvement of the IT infrastructure to facilitate integration of innovation approaches. This third and final in the series of inspiration workshops aims to: * Highlight the importance of IT architecture to support innovative data production using existing and innovative sources and methods; * Identify and classify different ways data flows in the system before final statistics are produced; * Highlight some data infrastructure architectures based on different data flow using sample tools in different contexts and countries; * Understand and identify diverse set of tools and technologies available in creating/updating data infrastructure in various stages of its architecture; * Share country perspective on implementation (including internal capacity building for sustainability) and legal frameworks/policies that support/restricts collaboration for innovative data source and technologies.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Understand how to collect Web Data regarding Online Job Vacancies and store them; * Understand of data processing techniques; * Base understand of data classification techniques on standard taxonomies and base understand of advanced techniques on taxonomies improvement.
Target Audience: Official statisticians working on big data methodology, data science and in employment and education statistics, as well as other statistical domains which can profit from this data source.
Description: During this Global Network and ISWGHS joint webinar, we had Laura Wilson from UK Government Data Quality Hub and Emma Dickinson from Social Survey Transformation (SST) at Office for National Statistics (ONS) in UK. They talked about harnessing Respondent Centered Surveys. Throughout the survey design industry, we are experiencing a decline in response rates alongside the demand for push-to-web mixed-mode completion. The data collection world is changing and to respond to these challenges, it is necessary to combine established and innovative survey design methodologies. We must move away from the traditional approaches that hinder us from achieving our goals, such as designing surveys at desk or in the boardroom. Instead, we need to start putting the respondent first and letting them drive survey design. This is Respondent Centered Design and it is achieved by heavily involving respondents in research to establish their survey participation needs and subsequently building to meet them. Only then can we develop a survey with low burden and high-quality data. This talk explained why this shift in our design focus and practices is critical to the creation of successful surveys. It introduces and explains an innovative methodological approach called ‘Respondent Centered Design’ which is showcased in the speakers new book, ‘Respondent Centered Surveys; Stop, Listen and then Design’. The talk demonstrates its application to survey development through use of frameworks and case studies from the transformation of the UK’s Labour Force Survey from the Office for National Statistics.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP UNSD UNCEEA
Description: The course introduces the SEEA EAthe international statistical standard for organizing data about ecosystemsmeasuring ecosystem servicestracking changes in ecosystem assetsand linking this information to economic and other human activity. The SEEA EA framework takes a spatial approach to organizing information on ecosystems. It supports the compilation of indicators for several global policy frameworks including the 2030 Agenda for Sustainable Development and related SDG indicators and the Post 2020 Global Biodiversity Agenda. The SEEA EA complements the accounts compiled in the SEEA Central Framework (SEEA CF) and togetherSEEA EA and SEEA CFprovide a comprehensive framework for organizing data on the relationship between the environment and economy.
Description: The Data For Now initiative aims to build capacity of national statistical systems to produce better and more timely data to inform policies and monitor progress towards achieving the SDGs and measuring the impact of COVID-19, prioritizing the goals identified by the countries, by leveraging data innovations and better integration of geospatial and statistical operations. In doing so, the initiative is guided by the Data For Now Guiding Principle, including that of taking a holistic perspective, considering the whole data value chain, and assessing a wide range of traditional and non-traditional sources, methods and technologies are assessed to establish criteria and standards for recommended solutions. Equally important is the focus on production-ready solutions, as well as knowledge sharing. In this context, the Data For Now initiative hosted a series of inspiration workshops to expand support to countries through projects funded by Norway, with other donors joining soon. The workshops provided an overview of the initiative, and showcased examples of how some countries are working on some of the core ideas of the initiative, such as prioritization based on country's needs, use of innovative data sources, methods and tools and partnerships, and improvement of the IT infrastructure to facilitate integration of innovation approaches. This second workshop will focus on innovative data, methods and tools and will aim to: * Highlight the potential of innovative approaches to address priority data needs relating to the SDGs; * Increase awareness of some of the different non-traditional sources, methods and tools that have been used for SDG monitoring; * Share concrete examples of how such innovative have been used provide new insights and improve decision making at the national level; * Share country experiences on the challenges and lessons learned from adopting these innovative approaches.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Introduction to geographic information systems, geospatial standards, and the spatial data infrastructure in Europe. Presenting the role of geospatial information in the statistical production process and statistical data dissemination. Hands-on experience with GIS tools and thematic mapping.
Target Audience: Statisticians involved in the production and analysis of statistical data, who would like to gain knowledge and develop skills in geocoding of data, data integration based on location, spatial analysis, and presentation of statistics on maps.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). It’s an overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered.
Target Audience: Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. Managers with responsibility on several or all the areas listed above.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units.
Description: During this Global Network Webinar, Prof. Qunli Han, a distinguished professor of the International Research Center of Big Data for Sustainable Development Goals (CBAS), gave a presentation on harnessing big data and geospatial information to support the monitoring of the SDGs. The assistant director of the United Nations Statistics Division and the representative of the Global Geospatial Information Management section provided opening remarks. During the presentation, Prof. Qunli introduced the vision, mission and objectives of CBAS and its ongoing projects toward the monitoring of SDGs, including Goals 2, 6, 11, 13, 14 and 15. It was also highlighted the key digital infrastructure that has been developed for CBAS, including the SDG big data platform and the recently launched SDG satellite (SDGSAT-1). In addition, the webinar discussed the collaboration with international organizations, the involvement of international experts in CBAS, and upcoming projects to monitor other SDGs.
Organizer(s): UNSD World Bank Global Partnership for Sustainable Development Data Sustainable Development Solutions Network
Description: The Data For Now initiative hosted a series of inspirational workshops to expand support to countries through projects funded by the Italian Government and the Norwegian Agency for Development Cooperation (NORAD). The workshops provided an overview of the initiative. They showcased examples of how innovation, partnerships, and the use of innovative data sources, methods, and tools are crucial to informing decision-makers, as well as the enhancement of IT architecture as a cross-cutting area to facilitate the integration of innovative approaches.
Description: The Data for Now initiative aims to build capacity of national statistical systems to produce better and more timely data to inform policies and monitor progress towards achieving the SDGs and measuring the impact of COVID-19, prioritizing the goals identified by the countries, by leveraging data innovations and better integration of geospatial and statistical operations. In doing so, the initiative takes a user-centric approach, guided by Data For Now Guiding Principle 10: All partners are committed to first and foremost address the needs of the users of the data, adhering to national priorities and decision-making needs. The initiative defines the activities based on the goals prioritized by each country and encourages engagement of producers of data and statistics with policymakers for increased used of data in decision-making. In this context, the Data For Now initiative hosted a series of inspiration workshops to expand support to countries through projects funded by Norway, with other donors joining soon. The workshops provided an overview of the initiative, and showcased examples of how some countries are working on some of the core ideas of the initiative, such as prioritization based on country's needs, use of innovative data sources, methods and tools and partnerships, and improvement of the IT infrastructure to facilitate integration of innovation approaches. This first in the series workshop is focused on engagement with decision-makers, providing an overview of how this can be done and sharing country examples. It aims to: * Inspire national statistical offices to engage with policymakers to: ** Understand and identify data needs that correspond to country's policy need; ** Encourage data culture amongst decision-makers to increase use of data in decision-making; ** Mobilize resources to collect, produce, and disseminate demand-driven data; ** Bring in partners, particular UN RCOs, to help create links to key decision makers and additional partnerships; * Take an initial stock of the current level of engagement at national statistical offices.
Source: Eurostat (Data extracted on: 24 Feb 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: To improve the theoretical and practical knowledge related to the collection, transmission, validation and aggregation of official water statistics. The main focus will be on different data sources and the complementarities of different direct and indirect methods such as measurements, surveys, models and estimations. The description of the respective strengths and weaknesses with special attention to data quality should thus result in an enhancement of the comparability between water statistics from countries using different methods. The courses shall also provide a platform and starting point for cooperation in method development among the countries. The aim of the courses is to explore possible ways of avoiding inconsistencies in the European water statistics and to obtain a more effective statistics production.
Target Audience: Staff involved in the production of official water statistics and other quantitative information under Union law on water.
Description: Even though there is substantial literature on studies that pool survey data, it is still not clear which are the most efficient methodologies and sampling designs for combining data from different surveys. For example, it is important to know whether the estimates from the different surveys involved should be given equal weights in the calculation of the combined statistics or not. If they are not given equal importance, then it should be clear how they should be weighted and why. In this paper, current and proposed methods considered to combine survey data are evaluated through simulation, in the context of simple random sampling, stratified random sampling and two stage cluster random sampling from finite populations generated from a normal distribution super-population model. Simulation results suggest superpopulation variance does not influence the choice of weighting method. However, the population size appears to influence this choice. Combining samples improved the precision of estimates regardless of weighting method used for data collected under all considered sampling techniques, with stratified sampling being more precise than simple random sampling and two stage random cluster sampling.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The Regional Workshop on Estimating Completeness of Civil Registration of Births and Deaths commenced with an Asia-Pacific Stats Café Series: Estimating completeness of vital events launch the recently developed guidelines on measuring completeness of civil registration of births and deaths. It run for 2.5-3 hours a day over five days from 28 March to 1 April 2022. Guidelines for estimating completeness of civil registration of vital events (PDF) The Regional Workshop is being held as part of a project to strengthen capacity to implement inequality assessments of civil registration and vital statistics (CRVS) systems, which has been initiated by ESCAP and includes both in-country and regional level capacity strengthening activities. One element of this project relates to training on demographic skills to enable countries to implement the inequality assessments. The Regional Workshop aimed to provide technical guidance and enhance expertise on demographic methods with a focus on measuring completeness of the civil registration of births and deaths. The training divided into 6.5 hours of instruction and 6 hours of practical and hands-on exercises. It run for 2.5-3 hours a day over five days from 28 March to 1 April 2022. For more information, please see the concept note. , HOME - Project: Implementing Inequality Assessments Project countries: Bangladesh Fiji Lao PDR Pakistan Samoa Resources Regional Events
Description: (Newsletter: CRVS Insight April 2022) The first regional workshop on estimating completeness of civil registration of births and deaths was held as part of an ongoing project initiated by ESCAP, to strengthen the demographic capacity of countries to implement inequality assessments of civil registration and vital statistics (CRVS) systems. The workshop was conducted virtually over a period of five afternoons from 28 March to 1 April 2022 and all instruction and practical sessions were provided and facilitated by Professor Tom Moultrie, Professor of Demography, University of Cape Town, South Africa with support from ESCAP staff. At the end of the workshop, participants were expected to have a greater understanding of the issues underpinning the assessment and evaluation of the completeness of civil registration data on births and deaths. Techniques for adjusting for vital events that may be reported in the future were presented, along with a number of approaches for estimating the completeness of vital events using sources of data such as census or administrative data. The programme, photos and presentations from the workshop can be found here.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material; * Describes the purpose, use and construction of HICP; * Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data.
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks.
Title in Arabic: التحليل الديموغرافي وإنتاج المؤشرات الديموغرافية
Organizer(s): AITRS
Description: يمكن القول إن المؤشرات الديموغرافية تندرج ضمن المؤشرات الإحصائية الكلية، لأن الخصائص والاتجاهات والتغيرات الديموغرافية تؤثر بصورة مباشرة في كافة مناحي حياة المجتمعات البشرية، فحاجات السكان إلى كافة السلع والخدمات خاصة الأساسية منها ترتبط ارتباطاً مباشراً بعددهم وتركيبهم وبالتغيرات التي طرأت وتطرأ عليهم، كما أن خطط الحكومات وموازناتها لتقديم الخدمات لمواطنيها تتأثر بخصائص السكان وبالتغيرات الديموغرافية خاصة السريعة منها. لذا، تولي لكافة الدول عناية لجمع البيانات عن سكانها بإجراء التعدادات والمسوح وإنشاء السجلات الحيوية لتستطيع أن تقيس الخصائص والتغيرات السكانية عن طريق تقدير عدد من المقاييس والمؤشرات الديموغرافية. وتوفر هذه البيانات والمؤشرات عدة استعمالات منها بالاساس: * التشخيص: معرفة وفهم الوضع الراهن واكتشاف وتحديد القضايا/المشكلات ومن ثم التخطيط للعمل على تغيير الوضع الراهن إلى الوضع المرغوب؛ * التقييم: تقدير مقدار واتجاهات التغيرات أو النجاحات التي حققتها السياسات والخطط والبرامج خلال فترة زمنية معينة منتهية؛ * التقديرات والإسقاطات السكانية: توقع الوضع المستقبلي للسكان؛ * حوار السياسات: تساعد المؤشرات الديموغرافية واضعي السياسات على فهم المشكلات القائمة والتباحث حولها وحول البدائل المتاحة لوضع الحلول المناسبة لها؛ * كسب المناصرة أو التأييد والدعم للسياسات والاستراتيجيات والبرامج السكانية ولأهدافها ورصد الموارد المالية اللازمة لتنفيذها.
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘Use of Business Registers for Business Demography and Entrepreneurship Statistics’ on 28 March 2022 in collaboration with the United Nations Economic Commission for Europe (UNECE) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC member countries. The main objective of the Webinar is to provide a platform to exchange knowledge and best practices to improve statistical business registers of NSOs of OIC member countries including discussions on challenges of and lessons learnt by all stakeholders. The Webinar will cover the following topics including country experience presentations: Pre-requisites for statistical business registers to support business demography statistics with a focus on coverage of small and micro enterprises Methods for identifying genuine demographic events Presentations by participating OIC Countries: Albania, Indonesia, Malaysia, Palestine, Türkiye, Uganda The Webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Webinar Documents: Concept Note and Work Programme (English)
2021 ICP for Asia and the Pacific - Twelfth Regional Online Workshop: National accounts framework and requirements for GDP expenditure weights for 2021 PPP computation
Organizer(s): FAO UNFCCC Global Environment Facility Secretariat
Description: Join FAO, the United Nations Framework Convention on Climate Change (UNFCCC) and the Global Environment Facility (GEF) Secretariat to learn how Côte d'Ivoire, Guatemala, Thailand and Uganda have improved transparency of their forest...
Description: This session will raise awareness about the status of land and water resources and provide high level profiles with key data to meet the challenges of sustainable use and governance...
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Are you interested in transport statistics and want to learn more about the vital role transport plays in today’s mobile society? In this webinar, you get valuable insight into European statistics on transport, an important sector of the European Union (EU) economy. An efficient and well-functioning passenger and freight transport system is vital for EU enterprises and inhabitants. The transport policy of the EU aims to foster clean, safe and efficient transport, underpinning the internal market for goods and the right of citizens to travel freely throughout the EU.
Description: The course will introduce participants to the concepts that underpin the identification and correct sector classification of public sector entities, with particular focus on extrabudgetary units and state-owned enterprises. Participants will receive practical advice on how to apply the sector classification guidance in the Government Finance Statistics Manual 2014 (GFSM 2014), using a framework of standardized questions. Group exercises in a workshop environment will deepen understanding and build learner confidence in applying the framework and concepts, with the final section of the course requiring participants to apply the learning to examples in their own country before reconvening to discuss and share the insights gained. In addition to hands-on experience in the application of sector classification principles, participants will explore, at a high-level, the issues that it is important to consider when collecting and compiling data from entities that are outside of direct budgetary controls and reporting. However, the details of how to compile data for newly classified entities is beyond the scope of this course.
Description: This course, presented by the Statistics Department, introduces the fundamentals of compiling monetary statistics, with special attention to other financial corporations (OFCs). It also gives an overview of financial statistics and national accounts. The course material is based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). Although the course summarizes the main principles underlying the compilation of monetary statistics, it assumes participants already understand these principles (e.g., having participated in the MFS-I course). The core of the course deals with characteristics of various OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structure, and their role in the financial sector. The course also covers some aspects of financial statistics, dealing with financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world; the balance sheet approach to vulnerability analysis; and the relationships between monetary, balance of payments, government finance, and national accounts statistics. The course consists of lectures and case studies to familiarize participants with practical aspects of compiling monetary statistics for OFCs and the basic principles underlying the compilation of national accounts. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.
Title in Arabic: نظم المعلومات الجغرافية "QGIS -Beginner Level"
Organizer(s): AITRS
Description: يساعد جمع البيانات الإحصائية وتفسيرها وتحليلها ونشرها كثيرا على فهم الأوضاع الحالية في مختلف المجالات وحسن اتخاذ القرار الملائم من طرف المؤسسات وغيرها من الجهات وذلك من أجل تنمية مستدامة تسعى لخدمة الإنسان والبيئة التي يعيش فيها. ومع ذلك، لا يمكن الفصل بين البيانات الإحصائية والبعد المكاني لمختلف الظواهر ذات الصلة. إن معرفة العلاقة التي تربط بين هذه الظواهر وبعدها المكاني سيساعد على فهم أكثر لتأثيرات هذه الظواهر على الإنسان والبيئة. هذا، إلى جانب البعد المكاني، يعتبر البعد الزماني ذو أهمية كبيرة في مزيد فهم اتجاهات هذه الظواهر سواء كانت فيزيائية أو اقتصادية أو اجتماعية، وهي مستعملة كثيرا في مؤشرات التنمية المستدامة للأمم المتحدة وتعطي صورة أكثر قراءة للتطور الزمني لمختلف هذه المؤشرات.
Description: This Stats Café will demonstrate the process of compiling Input-Output Tables and their application in policymaking. Presentations will showcase the process of Input-Output Tables by the National Statistical Offices of Indonesia and Malaysia. In addition, they will demonstrate a practical application of Input-Output Tables by the Planning Ministry of Indonesia that works closely with BPS-Indonesia. Overall, the café will provide a forum where all questions regarding Input-Output Table production and application in policymaking are addressed. , Stats Café Home: Upcoming events Concluded events in 2021 Concluded events in 2020
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014 , which is harmonized with the system of national accounts. The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing a sound knowledge on the elaboration and use of statistics on : trade in goods, services, travel, financial flows, trade in value added, use of bop and IIP statistics.
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs. Please note: All ESTP Courses are exclusively available to staff members of a European Statistica
Description: National experiences on the continuity of the production of official statistics based on household surveys during the pandemic and its impact on data quality.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: * Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. * Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics.
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics.
Source: Eurostat (Data extracted on: 31 Aug 2021 )
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Organizer(s): Eurostat
Description: To enable participants to understand the scope, architecture, and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata, so that they can: * Assess how to take advantage of SDMX in their day-to-day work; * Understand what a DSD and MSD are and how they reflect requirements for data and metadata exchange; * Work together (statisticians and IT specialists) in the organization in planning for SDMX in their domain; * Understand the relationship between SDMX and the process of the production of statistics; * Understand the different roles of the organizations in the collection and production of statistics and the relationship with SDMX; * Understand (in broad terms) the different tools that Eurostat can provide, and the architecture that can be developed. * Understand that SDMX enables automated validation services.
Target Audience: Statisticians and IT professionals working in a statistical domain without SDMX knowledge. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 24 Feb 2022 )
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Organizer(s): Eurostat
Description: Objectives: * To raise general awareness about the peer reviews in the ESS; * To make staff familiar with the methodology for peer reviews; * To harmonise the way peer reviews are implemented in the EU MS and EFTA countries.
Target Audience: Staff in the EU/EFTA MS NSIs/ONAs involved in the implementation of the 3rd round of ESS peer reviews in their country. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Target Audience: Individual; institutions (government & private) prepared to conduct data collection exercise through independent research Census and Household Surveys and International Surveys.
Description: This course, conducted by the IMF Statistics Department, presents a user-friendly tool developed by the department to automatically combine monetary, government, and balance of payment data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis—an extremely useful tool for macro-financial analysis. Once the matrix is generated, country officials should be able to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement. This course is an abbreviated version of the longer, BSA course traditionally offered by STA in-person.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course shall democratize the use of blockchain technology; * Understand the cryptographic principles behind blockchains; * Understand the components of blockchains; * Get to know impactful use cases of blockchain; * Get to know the ecosystems of available blockchains and tools; * Develop an application on the Ethereum blockchain.
Target Audience: Official statisticians/data scientists working on methodology.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using financial soundness indicators (FSIs) in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide ). The course includes lectures and workshops on: institutional sectors; consolidation bases and adjustments for FSIs; regulatory framework for deposit takers; accounting principles and sectoral financial statements for FSIs; core and additional FSIs for deposit takers, other financial corporations, and other sectors; financial sector surveillance and FSIs; macroprudential analysis and FSIs. Lectures are complemented by hands-on exercises, where participants work in groups to resolve practical questions of classification of financial institutional units, construction of different reporting populations for FSIs according to different consolidation bases, calculation of Basel solvency and liquidity ratios, production of sectoral financial statements and FSIs for deposit takers and the use of FSIs for financial sector surveillance. The course introduces templates for use in the regular reporting of FSI data and metadata to the IMF and provides guidance in accessing and using the IMF database for FSI data and metadata.
Description: Finite population sampling has found numerous applications in the past century. The validity of sampling inference of real populations derives from the known probability sampling design under which the sample is selected, “irrespectively of the unknown properties of the target population studied” (Neyman, 1934). This is the key theoretical justification for its universal applicability. Valued graph is a more powerful representation, which allows one to incorporate the connections among the population units in addition to the units on their own. The underlying structure is a graph given as a finite collection of nodes (units) and edges (connections). Attaching measures to the nodes and/or edges yields a valued graph. Many technological, socio-economic, biological phenomena exhibit a graph structure that may be the central interest of study, or the edges may provide effectively access to those nodes that are the primary targets. Either way, graph sampling is a statistical approach to study real graphs. Just like finite population sampling, it is universally applicable based on exploring the variation over all possible subgraphs (i.e. sample graphs), which can be taken from the given population graph, according to a specified method of sampling. Graph sampling thus encompasses finite population sampling, because any latter situation can be represented as a special case of the former. All the so-called “unconventional” finite population sampling techniques, such as indirect, network, adaptive cluster or line-intercept sampling, can be more effectively studied as special cases of graph sampling. Whereas snowball sampling and targeted random walk sampling are probabilistic versions of breadth- or depth-first non-exhaustive search algorithms in graphs. The course provides an introduction to the central concepts of graph sampling, the most common sampling methods, and the construction of graph sampling strategy. An emphasis is the extension from the traditional sampling strategy (finite population sampling, Horvitz-Thompson estimator) to a much more general strategy consisting of bipartite incidence graph sampling (BIGS) and incidence weighting estimator (IWE). The application of the BIGS-IWE strategy will be illustrated for all the aforementioned unconventional situations of finite population sampling, as well as the more complicated graph sampling situations such as snowball sampling and targeted random walk sampling.
Target Audience: Graduate students, statisticians at national statistical offices or other organisations working with sampling methods, data scientists interested in network analysis, graph mining or compression.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘SDG 13 (Climate Action) Indicators’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 14-16 March 2022. Mr. Mohammad Khalaf, Director of Sustainable Development Unit at the Department of Statistics (DoS) of Jordan will conduct the course and cover the following topics: Definition of climate change Causes of climate change and its effect on the planet Definitions and calculations of SDG13 indicators Metadata preparation for SDG13 indicators The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: IOM GMDAC (Data extracted on: 31 May 2022 )
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Organizer(s): IOM EU
Description: The workshop "Household surveys and international migration data: Using, improving and creating efficient migration data collection tools" will be conducted in a hybrid manner and will cater for in-person and virtual participation. Participants will be invited from the government departments in the Southern Africa Member States. The invitation will be shared with a broader statistical audience who may want to participate virtually and benefit from the discussions.
Description: Concept note Despite increased interest in alternative data sources, household surveys remain a vital component of national statistical systems and a key source for producing official statistics. In measuring the progress towards Sustainable Development Goals (SDGs), household surveys are the primary source for one-third of indicators, cutting across 13 out of 17 SDGs. This underpins the importance of implementing strategies to improve the quality of data acquired through surveys. In addition to other design elements, questionnaires play a critical role in communicating statistical ideas to respondents and capturing high-quality data. Testing statistical concepts and questions used in labour force surveys is one way of ensuring data producers can operationalize statistical standards and produce reliable and accurate data. The ILO uses qualitative testing - cognitive interviews, focus groups, and rapid ethnographic assessments – to enhance the generic labour force survey questionnaire and in development of a light module to measure time use. This Stats Café shared recent experiences from two projects that had been conducting qualitative tests in India, Peru and Uganda. The session explored: Objectives - which testing methods are useful for survey development and why? Benefits - what comes from these tests and how can the findings be used? Costs - what kind of skills, time and resources are needed for such testing? The session should be beneficial for official statisticians who are involved in designing household surveys. Participants engaged in questionnaire adaptation and development with or without recent experience in qualitative testing should find the session informative. Those who have conducted similar testing are encouraged to share their own experiences and lessons learned. Those with no or limited experience will get an insight into what is involved and how testing might support better data production in their country or area of work. Related publications and links Publications on earlier rounds of qualitative and quantitative testing: ILO LFS pilot studies – Cognitive interviewing tests: Methodology, process and outcomes ILO LFS pilot studies – Experimental field tests: Methodology, process and outcomes Measuring Women and Men’s Work: Main findings from a Joint ILO and World Bank Study in Sri Lanka Further information on the methodological work of the ILO: LFS modular time use measurement project Labour Force Survey (LFS) research and development ILO generic labour force survey questionnaire ILO Working Group on the Revision of Informality Statistics Standards , Stats Café Home: Upcoming events Concluded events in 2022 2021 events 2020 events
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Lighting, heating, transport, industry: energy is vital to run our essential day-to-day services and businesses. We take it for granted that we can switch on our computers and start our cars. But where does our energy come from and how dependent are we on imports?
Description: The course consists of several short sessions explaining the concepts, compilation and uses of the macroeconomic financial accounts which are part of the System of National Accounts 2008 (and its European equivalent the ESA 2010). The sessions will introduce the main steps of selecting and confronting data sources and of balancing the accounts. One session will be dedicated to the concept of the “who-to-whom” presentation, which is one of the priorities under the G-20 Data Gaps Initiative. Finally, examples of uses of financial accounts by central banks and economic policy makers, as well as some challenges for the future will be shown.
Target Audience: Statisticians in central banks and statistical authorities. Researchers, economists and other users interested in an overview of financial accounts, its main features and uses.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Regulation (EC) No 1099/2008 on energy statistics and Regulation (EU) 2016/1952/EC) and its implementation. The main focus will be on concepts, definitions, methodology and data validation on monthly and price questionnaires (including discussions on issues observed in practise). The course will also explore the European perspective within the international methodology concepts of energy statistics.
Target Audience: Statisticians dealing with compilation of monthly and price energy statistics and wishing to understand better the system and overall framework of energy statistics.
Description: This session corresponds to Panel 2 of the agenda of the fifth meeting of the Forum of Latin American and Caribbean Countries on Sustainable Development, which was held in person in San José, from March 7 to 9, 2022, under the chairmanship of Costa Rica.
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling economy wide material flow accounts (EW-MFA); it also covers the methodologies for the SDG indicators 8.4.1/12.2/1 and 8.4.2/12.2.2. EW-MFA represents a framework for describing the interaction of a domestic economy with the natural environment and the economy of the rest of the world in terms of flows of materialswaste and emissions. They are part of the broader System of Environmental Economic Accounting (SEEA) which is the international statistical standard for measuring the relationship between the economy and the environment.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course will enable you to pick your next top data-science programming language; * Know the characteristics of R, Python, Julia; * Understand the advantages of each language for different use-cases; * Ability read and modify a small program in each language.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Government Finance, Fiscal and Public Sector Statistics’ for the benefit of National Statistical Offices (NSOs) of OIC countries on 7-8 March 2022. Mr. Erhan Duman, Mr. Murat Ekşi, and Ms. Nuray Karaibrahim, experts at the Turkish Statistical Institute (TurkStat), will conduct the course and cover the following topics: Government Finance, Fiscal and Public Sector Statistics in Türkiye General Government Delimitation Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP) Statistics Taxes The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Are you interested in labour market indicators, which are particularly relevant for measuring differences in the situation of women and men? Discover the latest data on the gender employment gap, that is considered to be a key social indicator for analytical purposes when studying developments in labour markets, and the gender pay gap, including the unadjusted gender pay gap used to monitor imbalances in earnings between men and women.
Source: IOM GMDAC (Data extracted on: 31 May 2022 )
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Organizer(s): IOM African Union OECD Statistics Sweden
Description: Diasporas, sometimes referred to as expatriates or transnational communities, play an important role in harnessing the benefits of migration for development. Measuring issues related to diaspora groups is difficult, as there is no common definition of "diasporas". Data on migrant stocks can serve as a proxy for diaspora populations, and remittance data are also closely related to the study of diasporas. Since the 1990s, many states have put in place extensive programmes to promote diaspora relations. However, differences in definitions and the lack of robust monitoring and evaluation make it difficult to compare these policies. Data on diaspora populations are difficult to collect, as emigrants are not automatically members of diasporas, and second- and third-generation descendants of migrants may also be considered or consider themselves to be part of a diaspora group. Generally, there is far more information available on diasporas than there are data.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Validation and reporting results of machine learning methods; * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks; * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments; * Understanding of symbolic computation for backpropagation and gradient descent; * Model selection, Hyper-parameter tuning and practical considerations; * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients; * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Title in French: Cours d'apprentissage en ligne TrainForTrade sur les statistiques du commerce international de marchandises, Organisé conjointement par la DSNU et la CNUCED en coopération avec l'OMC
Organizer(s): UNSD UNCTAD WTO
Description: Les principaux objectifs sont de renforcer l’aptitude des statisticiens à appliquer les recommandations les plus récentes sur les SCIM, décidées au niveau international, à identifier les meilleures sources de données, à mettre en place des outils adaptés à la collecte des données et à améliorer les modalités d’élaboration des statistiques. De plus, le cours insiste sur la qualité, les métadonnées, la diffusion des statistiques ainsi que sur l’apport des SCIM à l’analyse économique et la formulation d’objectifs nationaux de politique économique.
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET Centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: This course, presented by the IMF Statistics Department, deals with identification and assessment of elementary indicators and techniques for combining them into a single index of economic activity to track national trends. Flash estimates or indexes of economic activity bring together a range of elementary indicators to give timely general measures of economic activity. These measures give policy makers useful information that complements annual and quarterly GDP estimates, which are more comprehensive but usually only available after substantial lags, and provide a more comprehensive picture than individual monthly and quarterly indicators, which are up-to-the-minute but reflect just a portion of the total economy).This course is for actual or potential compilers of short-term indicators in central banks and statistical offices and for those who collect data for monthly indicators. Participants are expected to work with their own monthly and quarterly time series during the course. These indicators will be used in the practical session as the basis for experimental estimates.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using financial soundness indicators (FSIs) in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide ). The course includes lectures and workshops on: institutional sectors; consolidation bases and adjustments for FSIs; regulatory framework for deposit takers; accounting principles and sectoral financial statements for FSIs; core and additional FSIs for deposit takers, other financial corporations, and other sectors; financial sector surveillance and FSIs; macroprudential analysis and FSIs. Lectures are complemented by hands-on exercises, where participants work in groups to resolve practical questions of classification of financial institutional units, construction of different reporting populations for FSIs according to different consolidation bases, calculation of Basel solvency and liquidity ratios, production of sectoral financial statements and FSIs for deposit takers and the use of FSIs for financial sector surveillance. The course introduces templates for use in the regular reporting of FSI data and metadata to the IMF and provides guidance in accessing and using the IMF database for FSI data and metadata.
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014 , which is harmonized with the system of national accounts. The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: Are you interested in agriculture and fisheries statistics and in the wider farm to fork chain? Watch the presentation on the 'Key figures on the European food chain' publication. You will learn more about data on farms, farmers, farm production and prices, the economic performance of the agricultural sector, fisheries' activities, as well as on the processing, trade, and distribution.
Description: Los efectos de la pandemia de COVID-19, se reflejan en la modificación de la estructura económica de los países. Es imprescindible conocer los sectores económicos más afectados. En este seminario se conoceran las principales características del planeamiento y ejecución de los censos económicos en Argentina, Colombia, México y Perú; las dificultades que presentaron, las soluciones, asi como retos y oportunidades a futuro.
Source: Eurostat (Data extracted on: 30 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language.
Description: In recent years, a range of methods have been developed for handling unusual data sources – Big Data and non-probability samples –to enable the production of public and official statistics. The core methods available are quasi-randomization, superpopulation modelling and doubly-robust estimation. They rely on the use of generalized linear models and aim to produce estimates with reliability like that of estimates from traditional probability samples of similar sizes. Quasi-randomization involves using a probability sample survey as reference to estimate pseudo-weights for units in a non-probability sample or big data-type source, where coverage of the target population is insufficient or unknown. We present a brief review of the available methods and an application in which quasi-randomization was used successfully to make inference from a web-panel survey carried out by CETIC.br.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Title in Arabic: الإدارة والتخطيط الاستراتيجي من أجل تدعيم العمل الإحصائي
Organizer(s): AITRS
Description: تعتبر الادارة والتخطيط الاستراتيجي من العناصر الاساسية لتحقيق الاهداف التي ترمي اليها المؤسسات والمراكز في كل الميادين الاقتصادية والاجتماعية والبيئية، وتكتسي أهمية كبيرة في مواجهة التغيرات والظروف المختلفة، سواء كانت سياسية أواقتصادية أواجتماعية أوتكنولوجية. كما تساعد الادارة الجيدة والكفؤة على تحقيق الأهداف وتنفيذ الخطط والبرامج والمشاريع بالتخطيط والبرمجة والاستغلال الرشيد للامكانيات المتاحة. بالاضافة الى ذلك، تساعد الادارة والتخطيط الاستراتيجي على تبسيط إجراءات العمل وتعظيم الكفاءات والمهارات البشرية من خلال التدريب والتأهيل والإعداد الجيد. وتعتبر الإدارة محور النشاطات والاوامر المنظمة لدفع الأفراد لاستقبال القرارات وتنفيذها بكل سهولة، وتراقب وتشرف وتنظم العمل وتخطط له، وتحاول إيجاد الحلول للمشاكل والمعوقات المختلفة بما يتناسب مع ظروف العمل والظروف المحيطة.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * This course shall democratize the ethical development and use of AI; * Understand the working principles of Artificial Intelligences (AI); * Get to know the processes and tool involved in creating an AI; * Get to know impactful use cases of AI; * Understand the risks and challenges related to AI; * Create an AI from scratch, without code.
Target Audience: Statistical production units and methodologist of NSIs.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to offer theoretical overview of SHA Methodology, but also to give practical approach to build a health data questionnaire. The course will provide to the participants overview of current SHA requirements.
Target Audience: The course is targeted at statisticians working on health administrative data from National Statistical Institutes or Ministries of health/welfare
Description: The recent publication by PARIS21 and Open Data Watch showed that national data portals have a lot to improve to make data accessible and open for all. In Asia-Pacific, many countries have recently launched dissemination platforms or are in the process of upgrading their existing systems. This Stats Café discussed the main features of a modern data portal and present best practices to guide the development of better platforms. , This Stats Café aimed to: Discuss the current state of national data dissemination in Asia-Pacific. What technologies and approaches are used? What are the features of a state-of-the-art data portal? Share country experiences in setting up national data dissemination platforms. What choices had to be made? What have been the challenges and lessons learned? Provide practical advice in adopting new platforms or enhancing existing systems. What recommendations should be adopted? What open-source platforms are available to countries? Agenda Welcome remarks, Ms. Rachael Beaven, Director, Statistics Division, ESCAP Data dissemination in the digital age Mr. Rajiv Ranjan, Innovation Team Lead, PARIS21, and Mr. Eric Swanson, Director of Research and Co-founder, Open Data Watch Data portals in Asia-Pacific Mr. Dayyan Shayani, Statistician, Statistics Division, ESCAP National SDG dissemination with Open SDG Ms. Anahit Safyan, Member of the State Council on Statistics, Armenia SDMX data portal with .Stat Suite Ms. Taweesap Srikwan, Statistician, Senior Professional Level, National Statistical Office, Thailand Q&A and discussion , Stats Café Home: Upcoming events Concluded events
Organizer(s): UNSD Global Partnership for Sustainable Development Data Sustainable Development Solutions Network World Bank
Description: This side event, jointly organized by GPSDD, SDSN TReNDS, WB, and UNSD, aims to provide an update on the D4N initiative and highlight recent country experiences of innovative partnerships and solutions built as part of D4N. More concretely, the event will: 1. Provide an update of work and showcase innovative results and learning from countries. 2. Highlight some of the noteworthy partnerships formed as part of the initiative 3. Present upcoming plans, including expansion to involve more countries and partners as well as efforts to make materials more widely available
Description: Ensuring resources for data and statistics as part of building back better: a stronger role for NSOs? To properly deliver on the data needs of the 2030 agenda and other national priorities, sufficient funding needs to be ensured for the statistical systems in countries. While some progress has been made since the adoption of the 2030 agenda in 2015, many low- and middle- income countries are still not able to secure resources to modernise their national statistical and data systems and, in some cases, even to fully implement regular statistical programmes or a full civil registration and vital statistics system. The harsh impact of COVID-19 pandemics has further exasperated this situation, increasing the budget gap for many. How could countries close their budget gaps for data systems? What are some of the solutions that countries could implement? Are there opportunities as part of the build-back better after the pandemics for meeting the more and better financing need for statistical data systems? Fulfilling this need is a prerequisite for sustainable development and requires both the mobilisation of additional domesticresources and a smarter approach to external aid to enable existing funds to go further and more effectively leverage new resources. In October 2021, at the third UN World Data Forum, two new complementary solutions were launched by the Bern Network on Financing Data for Development and the World Bank, respectively, to mobilize smarter finance for development data. While the traditional approach had focused mostly on raising funds from external sources and improving their coordinationthese new mechanisms are also aimed at helping raise the levels of domestic resource allocations. More importantly, however, efforts continue to be made at national level. What are some of solutions that could be shared and scaled up? One is to increase understanding of policy makers that could lead to raising the profile at the political level resulting in allocation of more funds to data and statistics. This strategy of increased engagement with policy makers and providing data in an understandable manner has had success in some countries. Increased engagement around national financing discussions, including the Integrated National Financing Framework is another avenue that countries have started exploring. The Bern Network's Clearing house is also offering an innovative solution as it is intended to make financing for data smarter by providing timely, accurate and granular information to match the demand for, and supply of, statistical support, create a community of practice to leverage existing knowledge, and facilitate monitoring of investment results. The Clearinghouse will complement the World Bank's Global Data Facility by acting as its information and community hub, helping inform the allocation of effective resources. Central to the successful operationalization of such solutions as the Clearinghouse and the increased engagement around the Integrated National Financing Framework is the involvement and the coordination role of National Statistical Offices. This event will provide the space for the initial discussion on how to define the role of NSOs in bringing together all parts of the national data and statistical systems in decisions on the allocation and utilization of international aid, and how they can ensure that national priorities are effectively channelled through the various mechanisms for the implementation of the clearinghouse. It will also allow for exchange with financing for development experts and UN Resident Coordinator Offices on how NSOs could play a bigger role in the governments' decision-making processes in the allocation of internal resources for data and statistics.
Source: Eurostat (Data extracted on: 04 Jan 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Present the essentials concepts of open data and linked open data. * Improve data management skills in exploring feasible data sources, finding publications, data portals and how to publish them.
Target Audience: Official statisticians (including process managers) with data management skills, who are interested in exposing data and metadata assets using linked data principles. The course is not meant to be targeted exclusively at IT specialists but can also be useful for staff involved in dissemination.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Labour Statistics’ for the benefit of National Statistical Offices (NSOs) of Arabic speaking OIC countries on 15-16 February 2022. Ms. Suha Waleed Kana’an, Director of Labour Statistics Department at the Palestinian Central Bureau of Statistics (PCBS), will conduct the course and cover the following topics: Overview of Labour Cost Meaning, Objectives and Important of Labour Cost How to Calculate Direct Labour Cost Quantity Survey: Labour Cost How to Calculate Labour Cost and its Items The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: ESCAP SIAP (Data extracted on: 13 Feb 2023 )
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Organizer(s): UNODC KOSTAT Korea ESCAP SIAP
Description: The online course on crime statistics from a gender perspective will highlight basic conceptsmethods and frameworks required to compile crime statistics in relation to gender and provide knowledge on the challenges and opportunities of working with different types of data sources (administrative datasample surveys).
Organizer(s): BIS ECB Bank of Italy Reserve Bank South Africa
Description: Organised by the IFC at the BIS with the active support of the Bank of Italy, the European Central Bank and the South African Reserve Bank, this workshop will bring together central banks, international organisations, national statistical offices and other interested stakeholders to share knowledge on emerging trends in data science, data engineering and information technologies with a broad audience of practitioners and technicians. We will look in depth at the state of adoption of data analytics and business intelligence techniques along with data transformation and big data ecosystems in participants’ organisations. This event is intended to foster exchange, collaboration and understanding on the related interdisciplinary practices, use cases, and technologies and will also cover important topics such as data governance and data protection. The first part of the workshop will be hosted by the Bank of Italy (BoI) on 19-22 October 2021 and the second part by the Bank for International Settlements (BIS) on 14-17 February 2022. The first part would focus on “Data Science in Central Banking: Machine learning applications” whereas the second part would be on “Data Science in Central Banking: Applications and tools”.
Description: Under the auspices of the ISI, the Statistical Journal of the IAOS (IAOS), The Survey Statistician (IASS), Journal of Official Statistics (JOS, Statistics Sweden), Survey Methodology (SMJ, Statistics Canada), IOS Press and Wiley are organizing a workshop comprising three separate webinars of two hours each. Presenters at the workshop are the Chief Editors (or former Chief Editors) of the journals involved, as well as experienced and successful authors and representatives from the publishers.
Target Audience: The workshop is intended for Official Statisticians and academics (from all over the world) with interest in preparing a submission of a manuscript to a refereed international journal in the field of statistics.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the IMF Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide.
Description: The UN Committee of Experts on Big Data and Data Science for Official Statistics has announced the launch of a pilot programme, to make international data sharing more secure by using Privacy Enhancing Technologies (PETs). The UN PET Lab is running a pilot program with several National Statistical Offices (NSOs). The lab will demonstrate that PETs can make fully compliant data sharing between organizations possible. PETs help data providers and data users to safely share information by using encryption and protocols that allow someone to produce useful output data without “seeing” the input data. They also typically ensure that data will be protected throughout its lifecycle, and that outputs cannot be used to ‘reverse engineer’ the original data. The PET Lab will see statistical organizations collaborate with technology providers who offer PET technologies. The Lab expects new users and providers to join in due course.
Description: The countries across Africa and Asia involved in the UNSD-FCDO project have made significant progress in their efforts to monitor the SDGs in recent years, increasing the availability of disaggregated data, despite the continued challenges caused by the COVID-19 pandemic. This event showcased some of the achievements of the countries, including the development of data platforms, the compilation of metadata, and user engagement. The session also highlighted some of the resources that UNSD is making available to other countries beyond the project, to support their own work on SDG monitoring.
Description: , Concept note Women in leadership positions are under-represented and the field of official statistics is no exception. While the situation may have approved since 1993 where the single female statistician at the UN Statistical Commission was referred to as ‘the lady statistician', fewer than one in five of National Statistical Offices (NSOs) in Asia and the Pacific, are currently headed by women. As highlighted byParis21, empowering women to take on leadership roles is not simply a matter of equality or representation. Women leaders, with their diverse experience, ideas and perspectives have led substantive reforms and improved the performance of NSOs. Given that official statistics are meant to represent society at large, underrepresented voices are critical in leadership roles. While there is extensive research about women in leadership in general, little has targeted the statistics profession and even less the field of official statistics. Listening to the voices and experiences of current women leaders is valuable for all genders, both for those considering leadership as part of their career and are interested in pathways and strategies to overcome barriers, and for those who are already or will become leaders to deepen their perspective and understanding of these issues to become gender transformative leaders who catalyze change in their organizations and beyond. This Stats Café brought together a diverse group of successful women leaders in official statistics, including from the national statistical systems, international and regional organizations, and civil society to discuss how they advanced professionally, cultivated their leadership skills and the path they took to become a leader. The conversation further explored how they confronted established gendered social norms and stereotypes, especially in a male-dominated workplace, and how any bias and discrimination was challenged and addressed. We also explored how these leaders become a role model and mentor for both men and women to emulate. Finally, there was a discussion of opportunities to develop strong leadership voices, encourage more women into leadership position and how barriers to female leadership in official statistics can be overcome. , Stats Café Home: Upcoming events Concluded events
Description: This seminar aims to discuss recent developments in robust estimation in linear time series models, with short and long memory correlation structures, in the presence of additive outliers. Robust estimators of the auto covariance matrix will be discussed from both time and domain approaches from both theoretical and applied points of view. A variety of application models will be considered for the use of the proposed methodologies, such as multivariate techniques (factor analysis and PCA), time series and mixed models. Real applications will also be discussed.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the IMF Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide.
Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Culture Statistics’ for the benefit of National Statistical Offices (NSOs) of Arabic speaking OIC countries on 31 January – 02 February 2022. Mr. Mohammad Khalaf, Director of Sustainable Development Unit at the Department of Statistics (DoS) of Jordan will conduct the course and cover the following topics: Introduction to culture statistics Variables of culture statistics Survey methodology on culture statistics The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: Data Protection is paramount to respect and ensure human dignity and the right to privacy, a fundamental human right enshrined in Article 12 of the Universal Declaration of Human Rights, Article 17 of the International Covenant on Civil and Political Rights and many other international and regional human rights instruments. To mark Data Protection Day on 28 January 2022, the International Organization for Migration (IOM) is bringing together data protection specialists from United Nations (UN) system organizations, including UN Global…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The United Nations Regional Workshop on the 2020 World Population and Housing Censuses: International Standards and Contemporary Technologies is organized by the United Nations Statistics Division (UNSD), in collaboration with the United Nations Economic Commission for Africa (ECA) for French-speaking African countries. The workshop is conducted in French and English and in a virtual format. The objective of the workshop is to introduce three of UNSD's latest international guidelines on population and housing censuses—the Principles and Recommendations for Population and Housing Censuses, Revision 3, the Handbook on the Management of Population and Housing Censuses, Revision 2, and the Guidelines on the Use of Electronic Data Collection Technologies in Population and Housing Censuses—and the standards, concepts and methods contained therein with a view to facilitate planning and preparations for the 2020 round of population and housing censuses. The workshop also provides an opportunity to discuss the impacts of the Covid-19 pandemic on conducting 2020 round of population and housing censuses and possible modifications in census procedures
Organizer(s): Russian Association of Statistics Petrostat Russia St. Petersburg State Economic University Russia
Description: We invite you to take part in the next international conference on statistical measurement and applied statistics. In 2015, the leaders of the Member States of the United Nations adopted the 2030 Agenda for Sustainable Development, which includes 17 global goals and 169 economic, social and environmental challenges that humanity must address in order to achieve sustainable development. The statistical community plays a huge role in this process. The purpose of the conference is to study, exchange and disseminate experience and knowledge in the field of theoretical foundations and practice of measuring sustainable development goals (SDGs).
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: One effect of the Covid-19 pandemic is the new and increasing demand for data and statistics and the accelerated change this has required within the data ecosystem. While countries and partners are responding to address the capacity needs to establish a fit for purpose modern data ecosystem, one area gaining more and more attention is data governance. Areas of data governance such as the law on official statistics are often well established within countries and represent the backbone on which National Statistical Systems are built, but a recent survey on the implementation of the Cape Town Global Action Plan for Sustainable Development Data showed half of the countries responding had statistical laws that had not been reviewed in a decade. Other legal and regulatory frameworks are also important to data governance such as those related to data access, privacy and protection. An emerging role for National Statistical Offices is to advocate for and lead the review of national legal and regulatory frameworks for the more equitable use and re-use of data in the production of official statistics while adopting a more comprehensive data stewardship approach to the broader data ecosystem. This webinar aims to discuss challenges and identify good practices related to national statistical legislation and other sound regulatory frameworks to sustainably develop modern national data ecosystems supporting National Statistical Offices and other agencies in producing fit for purpose data and statistics. This webinar, part of the UN World Data Forum series, will bring together experts to speak and take questions on: the importance and limitations of existing legal and regulatory frameworks on official statistics; the opportunities and challenges of regulatory, institutional and organizational frameworks beyond the law on official statistics for improving data governance; existing experiences on new practices and approaches to modernize data governance in their data ecosystem; efforts to improve the capability of National Statistical Offices to act as data stewards within the broader data ecosystem to secure the development of legal and regulatory frameworks to address common data governance issues.
Source: Eurostat (Data extracted on: 11 Aug 2021 )
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Organizer(s): Eurostat
Description: The objective of this course is to facilitate the application of methods and tools recommended for census 2021 protection.
Target Audience: Statisticians working on census 2021 statistical disclosure control (SDC) implementation. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: For several decades, national statistical agencies around the world have been using probability surveys as their preferred tool to meet information needs about a population of interest. In the last few years, there has been a wind of change and other data sources are being increasingly explored. Five key factors are behind this trend: the decline in response rates in probability surveys, the high cost of data collection, the increased burden on respondents, the desire for access to “real-time” statistics, and the proliferation of non-probability data sources. In this presentation, I review some data integration approaches that take advantage of both probability and non-probability data sources such as the dual frame weighting, calibration, statistical matching, inverse probability weighting and small area estimation. I discuss the characteristics of each approach, including their benefits and limitations, and present a few empirical results.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The conference will present the importance and the main achievements of 10 years of collaboration between FAO and the European Union in supporting countries in the production of actionable, timely...
Description: The Federal Competitiveness and Statistics Centre (FCSC) of the UAE together with the United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD) welcome the world to explore data science and big data during a three-day event at Expo 2020. FCSC also invites everyone to witness the ceremonial launch of the Regional Hub for Big Data and Data Science in UAE, which serves the Middle East and North Africa (MENA) Region.
Description: During this Global Network Webinar we had with us Heather Page and Hong Xiao from United Nations Statistics Division (UNSD) who talked about Data Storytelling & Data Visualization Toolkit. Storytelling is the best way to present data and share insights to inform, engage, and influence the audience. This valuable tool can be used in SDG and other data reporting to make sense of the data and add context, meaning and relevance for an audience. An essential component of effective data storytelling is data visualization. To support countries in developing and delivering engaging data visualizations across a range of outputs, UNSD developed an SDG and COVID-19 data visualization toolkit containing a set of SDG and COVID-19 related icons, along with templates for reports, infographics, social media and flyers. During this presentation, Ms. Hong Xiao discussed basic concepts with examples about data storytelling with a focus on analyzing the context and the audiences and developing a compelling narrative. Then, Ms. Heather Page introduced and provided an overview of the icons and other resources available in the Toolkit.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: The course provides an opportunity for participants to explore and comprehend the techniques of data visualization for data exploration as well as for data presentation. Participants will discoverevaluate and apply the rules of data visualization on devoted cases studies and also tackle the problem of visualizing complex data. The course proposesstrategies for visualizing in multi-dimensions as well as presenting the practical methods for representing statistical indicators on maps or within dashboards.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims at providing a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts. The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs, PPIs, and XMPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course also covers methods for sampling and collecting data from outlets and establishments. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. The role of price indexes as deflators in the 2008 SNA is analyzed, as are related principles of scope, coverage, and valuation. There are sessions on the following topics: methods for handling temporarily and permanently missing items; adjusting prices for quality changes, including new products, establishments, and outlets; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy.The course follows the principles and recommended practices in the CPI (2004), PPI (2004), and XMPI (2009) manuals.
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing weights and sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; adjusting prices for quality changes; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘SDG 1 (No Poverty) Indicators’ for the benefit of General Directorate of Statistics (DGS) and other National Statistical Offices (NSOs) of OIC countries on 19-21 January 2022. Mr. Khalid Soudi, Director of the National Observatory of the Population's Living Conditions under the High Commission for Planning (HCP) of Morocco will conduct the course and cover the following topics: Concept and definition of poverty; Definitions and calculations of SDG 1 indicators; and Interactions between SDG 1 on other SDGs. The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 11 Aug 2021 )
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Organizer(s): Eurostat
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+ via the graphical interface and R.
Target Audience: Staff of national statistical institutes (including newcomers) involved in the production process who want to acquire a good understanding of Seasonal Adjustment (SA) methods and practices. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: During this Global Network Webinar we had with us Fernando Cantú (UNIDO) and Daniel Hopp (UNCTAD) who talked about Using Nowcasting in Official Statistics. In this joint presentation, UNCTAD and UNIDO presented some of their recent work in the field of nowcasting. UNCTAD discussed two forthcoming papers, one on a comprehensive survey of the feasibility of nowcasting SDG indicators and one on the performance of LSTM neural networks in nowcasting during the COVID crisis. Additionally, plans for revamping how UNCTAD presents its nowcasts, moving from static PDF bulletins to an interactive website, were discussed. UNIDO presented the methodologies that are currently applied for nowcasting global industrial production, as well as plans for developing a system of interlinked country-level nowcasts. Special emphasis was made to model selection in nowcasting models.
Description: Strengthening geospatial capacity development is one of the key issues for the United Nations Committee of Expert on Global Geospatial Information Management (UN-GGIM). Geospatial Information Authority of Japan (GSI) cordially invites you to a conference on geospatial capacity development in the areas of GNSS CORS application and Disaster Risk Reduction (DRR) for sharing key issues, challenges, best practices and expertise internationally, especially for the Asia-Pacific region among others.
Target Audience: National Geospatial Information Authorities personnel with an interest in Capacity Development on GNSS applications and DRR, UN-GGIM and UN-GGIM-AP stakeholders, and Academic and Private Sector.
Description: The United Nations Statistics Division (UNSD) and the National Bureau of Statistics of China (NBS) jointly organized the International Workshop on the Monitoring of the Sustainable Development Goals virtually from 12 to 13 January 2022. The workshop will bring together about 15 countries in the Asia-Pacific regions, including some Small Islands Developing Countries (SIDS), along with experts from UN-ESCAP, UNICEF, UNESCO, FAO, UNDP, UN Women, Africa Union, ADB, and CBM Global.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: This course will focus on climate change indicators that can be compiled from environmental economic accounts. After a brief overview of climate change andrelevant polices and multilateral agreementsparticipants will learn how to compile various indicators that inform climate change. The focus of the course is on better understanding the relationship between climate change and economic activity. And the statistical framework that provides the conceptsdefinitionsand methodology for measuring this relationship is the System of Environmental Economic Accounting. In particularparticipants will learn about physical supply and use tables for energy and air emissionsand indicators that can be compiled from these accounts
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs, PPIs, and XMPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course also covers methods for sampling and collecting data from outlets and establishments. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. The role of price indexes as deflators in the 2008 SNA is analyzed, as are related principles of scope, coverage, and valuation. There are sessions on the following topics: methods for handling temporarily and permanently missing items; adjusting prices for quality changes, including new products, establishments, and outlets; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommended practices in the CPI (2004), PPI (2004), and XMPI (2009) manuals.
Description: This workshop is organized by the United Nations Statistics Division (UNSD), in collaboration with the Government of the People’s Republic of China (PRC) through the National Bureau of Statistics of China, and with support of the United Nations Economic Commission for Europe.
• The workshop aims to increase the knowledge of participants in the implementation of the national quality assurance framework (NQAF) and the Generic Statistical Business Process Model (GSBPM).
• The workshop will give an introduction to the United Nations National Quality Assurance Framework and the guidance for implementation contained in the United Nations National Quality Assurance Frameworks Manual for Official Statistics.
• Furthermore, the workshop will provide an introduction to GSBPM and its implementation.
• Country case studies and examples will allow participants to share their practices and to learn from the experience of other countries.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011)—in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Description: This course, presented by the IMF Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014, which is harmonized with the System of National Accounts (SNA 2008). The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Description: This course, presented by the Statistics Department, teaches you how to compile timely, high quality national accounts statistics based on the system of national accounts (SNA) framework. The course introduces the sequence of national accounts, the accounting rules, and the key macroeconomic indicators in the SNA framework. You will learn about gross domestic product (GDP) - the main aggregate of the system, and how to compile consistent and internationally comparable measures of GDP according to the production, income, and expenditure approaches. The course also discusses in detail, how the SNA can be used to track an economy's production, consumption, and income and how to estimate volume measures of GDP.
Description: Environmental applications are what make statistics “environmental.” Statistical application to environmental issues such as weather, air, water quality, climate, soil, fisheries and other environmental activities often come with some challenges since most environmental applications do not fit into experimental settings and even results from controlled experiments are used to infer patterns in an uncontrolled, dynamic, and noisy setting. This presentation will expose the participants to computational tools/ skills needed to navigate through as an “Environmental Statistician”, and inform them on where their expertise will be needed in Nigeria and beyond.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The webinar is organized to complement the global consultation for the Islamic Finance Task Team guidance note as part of the general process to update the System of National Accounts, 2008 (2008 SNA) and the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6). The webinar aims to:
- Inform compilers about the progress with the Islamic Finance Guidance note under the SNA and BPM update programme
- Introduce the research topics of the Islamic Finance to foster informed participation in the global consultation on the Islamic Finance Guidance note
- Elicit views on the user demand on the new recommendations
- Explore potential volunteers for the early implementation of the new recommendations and the experimental testing.
You are welcome to attend the webinar by registering here by 13 December 2021.
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Organizer(s): SESRIC TurkStat Türkiye PBS Pakistan
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Industrial Production Index’ for the benefit of Pakistan Bureau of Statistics (PBS) and other National Statistical Offices (NSOs) of OIC countries on 15 December 2021. Ms. Mehtap Ipek Dedeoglu, Expert at Turkish Statistical Institute, will conduct the course and cover the following topics: Purpose of the calculating Industrial Production Index Coverage of the Industrial Production Index Field application of the Monthly Industrial Production questionnaire Data analysing and processing Questionnaire and main concepts used Calculation method of the Industrial Production Index Reasons of base year change Coverage updating Weights and classifications used Revision policy Imputation The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Organizer(s): UNWTO Department of Tourism Philippines
Description: Measuring the sustainability of tourism (MST) aims to bring to all countries in the world a common framework to measure the impacts and dependencies of tourism on the economy, society and the environment. This is essential to better understand the role of tourism in sustainable development and to pragmatically monitor progress, especially in the framework of the 2030 Agenda for Sustainable Development and its Sustainable Development Goals. With new situations emerging from the unprecedented covid-19 pandemic, tourism restarts with sustainability as the new normal. Being able to properly measure the sustainability of the tourism sector for monitoring relevant policies has become crucial. In the meantime, the tourism industry have shown an increased commitment to implementing sustainability concepts and measures in recent years. These underline the need for the development of the MST. Therefore, UNWTO jointly organizes the UNWTO Asia-Pacific Workshop on Measuring the Sustainability of Tourism with the Department of Tourism of the Philippines. This event is sponsored by the Ministry of Culture, Sports and Tourism of the Republic of Korea.
Description: The fourth Road to Expo 2020 will be held on 14 December and will focus on concrete methods for calculation of SDG-indicators by big data. Sustainable Development Goals with their broad coverage of societal, environmental and economic fields pose challenges to a comprehensive statistical follow-up. Possible data sources towards this aim are widely discussed and data from non-traditional sources are frequently mentioned in this regard. In this context, data from non-traditional sources can include big data, geo data or citizen generated data. The webinar will present concrete examples of how selected SDG-indicators can be calculated with the use of non-traditional data, hereby giving countries a concrete tool for reinforcing their statistical follow-up on the SDG. Furthermore, the webinar will discuss future possibilities for monitoring the SDG with non-traditional data, including geo and citizen generated data. Finally, while giving an insight into monitoring the SDG by non-traditional data, the webinar will build up to the workshop during the EXPO 2020, which subsequently will expand the topic and present the calculation methods in detail.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP). ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. Course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, and exercises covering practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) and the derivation of the respective surveys for the CB, ODCs, and the consolidated DCs sector. Participants should be prepared to ask questions and discuss challenges related to MFS compilation practices. This course is an abbreviated version of the longer, introductory MFS course traditionally offered by STA in-person.
Source: UN Women (Data extracted on: 05 Jan 2022 )
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Organizer(s): UN Women
Description: The webinar will introduce the key features of the Counted and Visible Toolkit for Asia and the Pacific. It will showcase resources produced by UN Women to enhance the production of disaggregated gender statistics and will be an opportunity to advocate for the Toolkit’s use and application towards enhancing gender-responsive statistical work in NSOs and NSSs.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat
Description: Objectives: * To raise general awareness about the peer reviews in the ESS; * To make staff familiar with the methodology for peer reviews; * To harmonise the way peer reviews are implemented in the EU MS and EFTA countries.
Target Audience: Staff in the EU/EFTA MS NSIs/ONAs involved in the implementation of the 3rd round of ESS peer reviews in their country. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Seventh Meeting of the Network for the Coordination of Statistical Training in Asia and the Pacific
07 Dec 2021 – 07 Dec 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP ESCAP SIAP
Description: The seventh meeting of Network for the Coordination of Statistical Training in Asia and the Pacific (the Network)the subgroups will report their activities and the Network will discuss further development of their activities.
Description: As part of the project on Defining, estimating and disseminating statistics on illicit financial flows in Africa, UNCTAD finalized a draft of “Methodological Guidelines to Measure Tax and Commercial IFFs” in May 2021, for pilot testing, aimed at statistical and other national authorities with a mandate to collect and access relevant information. After a call for expression of interest in Africa in February 2021, jointly launched between UNECA and UNCTAD, the following countries participate in pilot testing of the measurement of IFFs: Angola, Benin, Burkina Faso, Gabon, Ghana, Mozambique, Namibia, Nigeria, Senegal, South Africa and Zambia. UNODC, UNCTAD, together with ESCAP, inaugurated a Development Account project called Statistics and data for measuring illicit financial flows in the Asia-Pacific region in 2020. The Partner Agencies selected six countries of Asia as pilot testing countries, two of which, Kyrgyzstan and Uzbekistan, are focusing on IFFs from illicit tax-related and commercial practices. Challenges and opportunities encountered in the pilots in Africa and in Asia will help refine the Methodological Guidelines and contribute to the reporting of progress towards SDG target 16.4 in the future. In order to support countries’ pilot calculation of IFFs estimates, UNECA, UNCTAD and ESCAP are organizing an interregional training workshop on the statistical measurement of tax and commercial IFFs. The purpose of the workshop is to provide an in-depth training on the 6 selected statistical methodologies proposed in the Methodological Guidelines to members of Technical Working Groups (TWGs) from pilot countries, share case studies /experiences as well as discuss challenges experienced in the data review and/or use of identified methods. To watch the videos of the interregional training, kindly click here.
Course Language: English
French
Russian
Portuguese
Organizer(s): UN MGCY UNSD UN Global Platform Regional Hubs
Description: Over the last years, the world has been forced to rethink, redesign and innovate new ways of creating a shared sustainable future. This year, together with the United Nations Statistics Division, and the global platform regional hubs of Rwanda, UAE, Brazil & China, MGCY is organizing a virtual UN Youth Hackathon to create solutions to some of the world’s toughest problems using data. During this hackathon, the UNSD, regional hubs and partner organizations will be on the lookout for disruptive and innovative solutions that use data, machine learning and artificial intelligence to fast track progress towards the UN Sustainable Development Goals (SDGs). We are looking for enthusiastic data people - students and professionals in the broad field of AI, Deep Learning and Data Science. There are no strong requirements other than the strong interest in contributing to the UN SDGs.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: World Bank (Data extracted on: 29 Nov 2021 )
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Organizer(s): World Bank
Description: Insights from the World Development Report 2021 The Middle East and North Africa (MENA) region finds itself at an important crossroads of its digital transformation journey. Most countries are more connected than ever before, with broadband access advancing and data traffic rising exponentially. However, harnessing the development potential of these growing volumes of data requires bridging critical gaps in the legal and regulatory frameworks for data creation, use and reuse. According to the World Development Report 2021: Data for Better Lives, this ecosystem comprises data infrastructure policy, the legal and regulatory framework for data, and the related economic policy framework, as well as the data institutions supporting implementation. Effectively leveraging data to boost development requires forging a new social contract that seeks to deliver the potential value of data equitably while fostering trust by safeguarding against data misuse. In this regional webinar, the World Development Report team will present insights from the World Development Report 2021 and its relevance to the MENA region. A green, resilient, and inclusive recovery from the COVID-19 pandemic will hinge on the region’s potential to leverage its data effectively for better policymaking, private sector growth, and more efficient and transparent service delivery. The webinar seeks to support regional key stakeholders in forging their own new social contracts that help realize the potential value of data while rooted in the principles of trust and equity. This regional workshop is designed to raise awareness of WDR 2021 policy messages and promote dialogue with regional policymakers, as a means of identifying possible downstream engagements for World Bank teams and could be delivered in local languages as needed. The workshop will be accompanied by the release of a region-specific briefing note that brings together all the geographically relevant findings and messages of the WDR 2021 translated into local languages.
Source: IOM GMDAC (Data extracted on: 05 Jan 2022 )
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Organizer(s): IOM GMDAC
Description: The physical health, mental health, and general well-being of migrants and people on the move, in particular, is a vital issue. Political and social structures must respond to the challenges posed by population movements, including a focus on achieving universal health coverage using the building blocks of health systems. Migrations, particularly within the continent, have always been an important component of African lives. Recent factors such as climate change and population growth contribute to exacerbating this mobility trajectory. Promoting the health of migrants and migration-affected populations is not only essential to enable safe, orderly, and humane migration, but also to ensure that the economic and development benefits of migration are sustainable for both sending and receiving countries. Despite their positive contributions, many international migrants are at greater risk of vulnerable situations that put their own health status at risk. They may be denied access to health services by law, or they are unable to access these services in practice. This webinar will address how migration data can help design and implement more effective health programs for migrants in Africa.
Description: To contribute to the discussion on how data and statistics can support climate objectives, FAO's Statistics Technical Network is organizing a webinar on FAO’s work on FAOSTAT Emissions statistics.
Description: For the past two years, UNICEF and the Government of Finland have partnered to better understand how artificial intelligence (AI) systems can protect, provide for and empower children. On 30 November and 1 December 2021, we jointly hosted a virtual Global Forum on AI for Children, which gathered experts, policymakers, practitioners, researchers, children and young people to share their knowledge, expertise and experience on the use of AI systems by and for children. At the event we launched Version 2.0 of the Policy Guidance on AI for Children, and the organizations that have piloted the guidance shared their experiences and lessons learned.
Sixteenth Management Seminar (Webinar) for the Heads of National Statistical Offices in Asia and the PacificTransforming Institutions is Transforming People
30 Nov 2021 – 01 Dec 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP ESCAP SIAP
Description: The Management Seminar aims to strengthen the leadership and management abilities of the heads of national statistical offices by providing a forum to discussexchange views and share experiences. The theme of this year’s seminar is "Transforming Institutions is Transforming People". The seminar will identify good practices of leadership and future steps that should be taken to lead agileresilient and responsible human resources management.
Description: Reena Shah (UNSD) and Vlad Trusca (UNFCCC) presented on the new Global Set of Climate Change Statistics and Indicators. In 2016, the United Nations Statistics Division (UNSD) received a mandate from the Statistical Commission to develop a Global Set of Climate Change Statistics and Indicators applicable to countries at various stages of development. The Global Set, being developed in close collaboration with the United Nations Framework Convention on Climate Change (UNFCCC) Secretariat and the Expert Group on Environment Statistics (EGES), is structured according to the Framework for the Development of Environment Statistics (FDES) and the five areas of the Intergovernmental Panel on Climate Change (IPCC) framework. The draft Global Set was distributed for a global consultation between May and September 2021. Responses and feedback were received from 86 member states and 26 agencies which were summarized and presented to the Eighth Meeting of the Expert Group on Environment Statistics (EGES) in October 2021 for review and discussion. Based on the progress achieved, the EGES recommended that the final Global Set be submitted to the upcoming 53rd session of the Statistical Commission in March 2022 for adoption. This Global Network Webinar covered: the background to the Global Set; the mandate of the Statistical Commission; the foundation, methodology and output of the Global Set; the global consultation and a summary of the results; recent and planned actions of UNSD; and the collaboration between UNSD and UNFCCC to strengthen link between statistics and policy.
Description: This webinar will focus on microdata dissemination programs with application to agriculture data with the aim to support the National Statistical Offices and line Ministries’ efforts toward unlocking access to agriculture survey data. Organized by the AGRISurvey program, managed by the Statistics Division of the FAO (ESS), the webinar entitled “Opening Access to Agricultural Survey Microdata” is designed to build advanced insight on the key elements constitutive of a microdata dissemination program, namely the access policy, microdata documentation (including the DDI-standard), microdata anonymization, and the National Data Archive (NADA) cataloguing tool. Participants will also learn about the Food and Agriculture Microdata (FAM) Catalogue, FAO's microdata dissemination platform managed by the Office of Chief Statistician (OCS). The online seminar will be an opportunity to discuss how these components interlace and, if approached jointly, may offer solutions to ensure confidentiality safeguards are in place as well as to ensure microdata dissemination programs align on best international standards. It will also serve as a platform to share experiences between agencies on both technical and organizational challenges associated with their operationalization and to discuss on methods and solutions to ensure increased access to agriculture data to the widest public. The webinar is suitable for professionals of different levels of seniority in charge of agricultural statistics production and dissemination. Acknowledging the overarching dimension of dissemination programs and the involvement of different departments and offices within the National Statistics Systems, this invitation extends to all officers from divisions and units supporting statistical dissemination programs. WHEN: November 29, 2021, from 10:00 to 13:00 (GMT+0). PRESENTATIONS: Microdata dissemination programs Statistical Disclosure Control (SDC) Microdata documentation Introduction to NADA Microdata dissemination: overview of the FAM Catalogue La diffusion des microdonnées Anonymisation des microdonnées Documentation de fichiers de microdonnées Introduction à l’Archive National de Données (NADA) Diffusion des microdonnées : vue d’ensemble du Catalogue FAM Programme de diffusion des microdonnées de l'enquête agricole annuelle (FAA) RECORDINGS: https://fao.zoom.us/rec/share/RPfxae3JRgGDIuyzohrMh_ZLUbIRZRETyfu-chupdUI73AJJo3WHbXHrgtPAh8JB.5ZltKbfHAE26WecS Access Passcode: pTZf6&9v FIND OUT MORE ABOUT AGRISurvey: https://www.fao.org/in-action/agrisurvey/en/
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Title in Spanish: Datos que empoderan: Perspectivas de América Latina y el Caribe sobre la gobernanza de datos
Organizer(s): ECLAC DANE Colombia
Description: Este es un evento paralelo de la undécima reunión de la Conferencia Estadística de las Américas de la CEPAL, organizado por el DANE de Colombia.
Description: The main objectives of the series of webinars were: Participants increase their knowledge on the 2008 SNA framework Participants share practical experience in producing and using national accounts statistics Participants get familiar and increase their knowledge on the SNA 2025 update National statistical systems increase their capacity to compile and disseminate national accounts statistics Основные задачи серии вебинаров: Участники углубляют свои знания о структуре СНС 2008. Участники делятся практическим опытом составления и использования статистики национальных счетов. Участники знакомятся c обновлением СНС 2025 и расширяют свои знания о нем. Национальные статистические системы расширяют свой потенциал по сбору и распространению статистических данных национальных счетов.
Description: This Workshop is organized jointly by the NBS of China, UNSD, and UNCTAD in cooperation with WTO, at the request of NBS, to help tackle some issues regarding the production and use of integrated international trade statistics, including digital trade and e-commerce, trade by enterprise characteristics, statistics of international trade in services by mode of Supply, foreign affiliates trade statistics (FATS, and other related economic statistics.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The training course will introduce the theoretical and practical know-how of TSA compilation and will position TSA vis-à-vis primary tourism statistics. The main compilation challenges for each TSA table (with a focus on core tables 1 to 7) will be discussed, with the aim of improving the international comparability through maximising the use of existing harmonised European statistics. The final goal of the course is to prepare participants to embark on the production of TSA at national level or to improve the existing TSA and to better align national TSA to the international recommendations.
Target Audience: Staff of national statistical authorities involved in the production process of tourism statistics, national accounts or (tourism) satellite accounts, who want to acquire a good understanding of the macro-economic measurement of the tourism sector, in particular the tourism satellite accounting framework (TSA), with the objective to develop or improve TSA in their country. The training is targeted at experienced as well as novice or future TSA compilers with the aim of spreading/exchanging the know-how and best practices within and between the different levels of expertise. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: This unique online event will serve as a knowledge hub, bringing the benefits of open data and its reuse to the EU public sector, and through it to people and businesses. Online from Luxembourg to the world: The Publications Office of the European Union is organising the first EU Open Data Days Data is a key asset for digital transformation. It is a building material for research and innovation, personalised products and services, powerful new technologies and better decision-making. These translate into solutions to societal challenges that can improve and even save people’s lives, as the current pandemic demonstrates. Open data is also freely available to generate value through reuse. This unique online event will serve as a knowledge hub, bringing the benefits of open data and its reuse to the EU public sector, and through it to people and businesses. Get inspired and discover the latest trends and most innovative solutions. Register now!
Description: Household surveys play a critical role in meeting national data needs. A recent mapping exercise found that approximately one-third of all Sustainable Development Goal global indicators (80 out of 232 indicators), covering 13 different goals, can be sourced from household surveys. Despite their fundamental role in national statistical systems over the past decades, household surveys are facing funding challenges and skepticism on their continued utility within the changing data landscape. Within this context, the COVID-19 pandemic exacerbated existing challenges for household surveys, given limitations on face-to-face survey operations as a result of social distancing and other restrictions in many countries. A survey conducted by the UN Statistical Division and the World Bank in May 2020 found that 96 percent of national statistical offices either partially or fully stopped face-to-face data collection at some point during the pandemic. The increased need for timely, high-quality data on the impacts of the pandemic heightened demands for more efficient household survey systems relative to the status quo. In response to these challenges, national statistical offices have acted quickly to respond to new data needs introduced by the pandemic, while maintaining the continuity of existing data collection programmes. To do so, countries have adopted innovative approaches and/or turned to alternative data sources , with most countries implementing one or more rounds of phone or web surveys measuring the impact of COVID-19 in the past year. Looking ahead, the global data community faces several key questions on the future of household surveys. How will COVID-19 reshape national household survey programs in the future? How can we establish sustainable household survey programs that are resilient and versatile to future shocks like COVID-19? Will COVID-19 be a catalyst for innovation in the field of household surveys? What are the priority actions for countries and for the international community in the next decade for household surveys? A position paper is being prepared by the Inter-Secretariat Working Group of Household Surveys (ISWGHS) that aims to identify priority areas and the enabling environment, both at the national and international level, for household surveys to better perform their foundational roles, meet new data demands and increase their development policy and research impact in the remaining decade for the 2030 Agenda for Sustainable Development. The paper articulates these priorities as a blueprint for action for the ISWGHS, given its mandate of supporting countries as they work towards achieving the SDGs. The presentation will cover the recent work of ISWGHS on improving national capacity in the area of household surveys and key aspects covered by the position paper. ISWGHS looks forward to receiving input from and collaborating with members of IASS.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Title in Spanish: Desafíos en la medición de la inversión extranjera directa y principales tendencias en América Latina y el Caribe
Organizer(s): ECLAC
Description: Este es un evento paralelo de la undécima reunión de la Conferencia Estadística de las Américas de la CEPAL, organizado por la División de Estadísticas de la CEPAL.
Description: This is a side-event of the Eleventh meeting of the Statistical Conference of the Americas of ECLAC, organized by CELADE-Population Division of ECLAC and the National Statistical Institute of Chile.
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policy-making which promotes “full and productive employment and decent work for all”.
Description: Improving performance on Indicator 14.4.1 can promote better fisheries management and effective regulations overall, and consequently can help to trigger actions towards SDG 14’s success and the achievement of protection and sustainable use of our oceans and marine resources. How we measure the sustainability of marine capture fisheries is the focus of an FAO e-learning course that aims to help countries track progress towards Sustainable Development Goal (SDG) “Proportion of fish stocks within biologically sustainable levels”. The course will allow participants to delve deeper into the main definitions and concepts related to fisheries and fish stocks assessments, and to acquire tools, methods and processes to monitor and report on the indicator. FAO serves as custodian agency of 21 indicators, working closely with countries to develop their capacity on data collection and monitoring, especially as it pertains to the conservation and sustainable use of the oceans, seas and marine resources for sustainable development (Goal 14). SDG Indicator 14.4.1 “Proportion of fish stocks within biologically sustainable levels” was designed to support countries in their data collection, analysis and reporting of SDG Indicator 14.4.1. The indicator will enable decision-makers to design more effective, evidence-based national policies and interventions for the sustainable management of fishery resources. FAO e-learning course on SDG Indicator 14.4.1 is primarily intended for those who play a role in the collection of fisheries data and statistics, data analysis and stock assessment, and reporting for the indicator, such as fisheries scientists, researchers, data analysts and statisticians, as well as policy makers and people with an interest in the process. Improving performance on Indicator 14.4.1 can promote better fisheries management and effective regulations overall, and consequently can help to trigger actions towards SDG 14’s success and the achievement of protection and sustainable use of our oceans and marine resources. Available in English, French and Spanish, this self-paced, free online course comprises 5 lessons and takes about 3.5 hours to complete. The course will provide in the near future the basis for a series of online workshops in three languages (English, French, Spanish) which aim at raising awareness of countries in monitoring their progress towards the achievement of the SDGs. Enrol now: English, French and Spanish For more courses available on SDG indicators under FAO custodianship, please visit: http://www.fao.org/sustainable-development-goals/news/e-learningcourses/en/
Description: This ministerial roundtable was organized by ESCAP. It took place online on 19 November 2021, from 08:30 to 09:30 hrs, Bangkok time. Overview: The pandemic has caused both tremendous challenges and opportunities for CRVS systems, especially related to deaths, and calls for collective efforts to shape the future landscape of health information and ensure the benefits for sustainable development. The most fundamental question: How many people have actually died from COVID-19 cannot yet be answered in many countries in the region. Indeed, it may take some time before we know the answer and, in some countries, we may never know. In particular, the most vulnerable and marginalized populations – those often most at risk of COVID-19 – may never have their deaths counted. A well-functioning civil registration and vital statistics (CRVS) system is necessary to provide an answer to this question. However, during a public health emergency such as COVID-19, even a well-functioning CRVS system is faced with challenges of backlogs in death registrations and diagnostic uncertainties. Issues for discussion: How can we respond to the ongoing challenges posed by the pandemic while leveraging the spotlight on mortality statistics to ensure sustainable capacity strengthening? What can Governments and the international community do to assist least developed countries in rebuilding through productive transformation of CRVS systems to ensure preparedness for the next health emergency or pandemic?
Description: This ministerial roundtable was organized by ESCAP. It took place online on 19 November 2021, from 12:30 to 13:30 hrs, Bangkok time. Overview: The COVID-19 pandemic has impacted on the ability of governments to maintain services and routine functions, including the operation of national civil registration and vital statistics (CRVS) systems. The universal, compulsory, continuous, permanent, and confidential recording of the occurrence of all vital events is undermined by the various restrictions imposed by governments (quarantines, lockdowns, social and physical distancing measures, workplace closures, transit shutdowns, etc.). The resulting changes in civil registration systems have a definite negative impact on the quantity and quality of civil registrations. Many CRVS systems have considered marriages and divorces to be less important vital events, and a number of countries have suspended their registration. While innovative approaches are mitigating the impact of COVID-19 on the performance of civil registration systems and are supporting the generation of data for health surveillance during a health crisis, this often disproportionately excludes developing countries with poorer connectivity and infrastructure This ministerial roundtable provided an opportunity to reflect on the challenges posed by the pandemic and potential solutions. Ministers was able to share their experiences of maintaining services during this difficult period as well as inspire and guide efforts to enhance the functioning of CRVS systems during emergencies in the second half of the Asia-Pacific CRVS Decade. Issues for discussion: How have countries responded to the challenges posed by the pandemic posed to the civil registration systems, ensuring the most marginalized and vulnerable populations also have access to vital services in the face of disruption and how are the systems managing to recover and adapt to the new situation? CRVS systems need to be strengthened to avert catastrophic consequences prior to emergencies, respond effectively to crises and ensure a sustainable recovery. How can Governments and development partners comprehensively make the CRVS systems more robust to future crises and shocks? The COVID-19 pandemic has demonstrated that a well-performing CRVS system in normal times may not perform well in crises and emergencies. What are the key considerations to guide the redesign of both mature and immature CRVS towards resilience?
Description: Within the framework of the subregional technical cooperation project TCP/RLA/3730, FAO organizes, from 18 to 19 November, a virtual training on SDG Indicator 12.3.1.a.
Source: UN Women (Data extracted on: 29 Nov 2021 )
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Organizer(s): UN Women ISWGHS
Description: Using administrative data from police, violence against women hotlines, and other service providers, UN Women has found that violence against women and girls has intensified since the outbreak of COVID-19, but collecting data to better understand this increase is challenging, because of various ethical, safety and methodological concerns that need to be considered during data collection. To understand the extent of this “shadow pandemic” and to support gender-responsive and evidence-based policymaking, UN Women launched Rapid Gender Assessment (RGA) surveys in 13 countries. The study has yielded important insights and methodological learnings on the feasibility of remote data collection on violence against women. The webinar will bring together representatives from National Statistics Offices, UN agencies, civil society organizations and other key stakeholders to discuss lessons learned on collecting data on violence against women during COVID-19 and how such data can be used to inform policy decisions. The objectives of this session are to: Provide an overview of UN Women’s RGAs on violence against women, including key findings and lessons learned Share learnings and challenges from technical and survey operations from data collection on violence against women – including ensuring ethical and safety measures that were put in place Exchange country experiences on using data for action to end violence against women The webinar is co-hosted by the Inter-Secretariat Working Group on Household Surveys and UN Women.
Description: The African Centre for Statistics (ACS) of the United Nations Economic Commission for Africa (ECA), in collaboration with the United Nations Statistics Division (UNSD) will organize a virtual second regional thematic seminar on System of National Accounts (SNA) Update Programme from 17 to 18 November 2021. The regional thematic seminar is part of the follow-up actions recommended by the Global Consultative Group of Experts on National Accounts (AEG) responsible for updating the SNA. This follows the information seminar detailing the new procedure on the 2008 SNA update process held in June 2021. The main objective of this thematic seminar is to is to provide a forum for all African countries to be engaged and participate directly in the global SNA update programme by discussing and commenting on the guidance notes (GNs) and to foster their participation in the recommendations feasibility assessment and subsequent experimental estimates (AEE). The thematic seminar will be organised into the four themes of globalization, digitization, wellbeing and sustainability and the informal economy On-line registration to participate in the meeting can be made by using the hyperlink provided below until 15 November 2021: https://events.uneca.org/registration/register?eventId=a90ed4cb-ce37-ec11-80fa-0050569360fe
Description: The 9th Statistical Forum of the International Monetary Fund will take place virtually during November 17–18, 2021. The theme of this year’s Forum is Measuring Climate Change: The Economic and Financial Dimensions. The Forum will build on the IMF Climate Change Indicators Dashboard, developed in close collaboration with other international organizations and launched in April 2021. The Forum is a platform for policymakers, researchers, private sector, regulators, and compilers of economic and financial data to come together to discuss cutting-edge issues in macroeconomic and financial statistics and to build support for statistical improvements. It will take place over two days and the second day will be livestreamed. During the first day, the Forum will feature empirical and conceptual papers on climate-related topics, particularly on measuring how economic activity is damaging the environment, risks to economic and financial stability, effects on the sustainability of growth, and actions and activities to mitigate or adapt to climate change. During the second day, there will be two high-level panel discussions on international efforts to measure climate change in macroeconomic statistics and the role of these statistics in informing decision makers and the public. Johan Rockström, Director of the Potsdam Institute for Climate Impact Research, will deliver the keynote speech. Professor Rockström is globally recognized for his research on planetary boundaries, which was featured in the recent Netflix documentary, Breaking Boundaries: The Science of Our Planet. The keynote speech will be followed by a one-on-one discussion with the IMF’s Managing Director, Kristalina Georgieva.
Organizer(s): FAO ESCAP Agreenium Future Food Institute
Description: Join FAO's next webinar entitled ‘Mind the gap: Addressing national forest inventory capacity needs to support climate action’ that will take place on 17 November 2021, from 14:30 to 16:00 (Rome time)....
Description: Learn in 2 hours about the UN Geospatial Network, Integrated Geospatial Information Framework, Young Professionals in Geospatial, and Geospatial Technology for SDGs.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The Brazilian Institute of Geography and Statistics (IBGE) and the United Nations Statistics Division (UNSD), in close collaboration with the United Nations Environment Programme (UNEP) and the European Union Delegation to Brazil, are jointly organizing the National Forum on Natural Capital Accounting and Valuation of Ecosystem Services (NCAVES) project. The forum will be held virtually on 16-18 November 2021 from 9 a.m. to 12 p.m. (Rio de Janeiro time) Brazil has participated as one of the 5 pilot countries (Brazil, China, India, Mexico and South Africa) in the NCAVES project jointly launched by UNSD, UNEP and the Secretariat of the Convention on Biological Diversity (SCBD) and funded by the European Union. The NCAVES project in Brazil was implemented by the IBGE, in collaboration with various partner institutions. Under the NCAVES project, significant progress has been made to advance environmental economic accounting in Brazil. To date IBGE has released ecosystem extent accounts and endangered species accounts, as well as a range of publications with experimental statistics on the condition of water bodies, on the valuation of water resources, and on non-timber forest products. In parallel a pilot study for the Matopiba region was undertaken by the Federal University of Rio de Janeiro using the SWAT model to assess a number of regulating ecosystem services and how they are impacted by the shifting agricultural frontier. In addition, IBGE has made important contributions through the testing of indicators and classifications to the finalization of SEEA EA which was recently adopted by the UN Statistical Commission. IBGE also hosted a regional training workshop on ecosystem accounting for ECLAC countries in November 2019. The objectives of the National Forum are: Present the achievements of Brazil in the implementation of Natural Capital Accounting to a wide audience. Discuss next steps for the future development of the BRASEEA (Brazilian System of Environmental-Economic Accounts) with stakeholders. The first two days of the Forum will be oriented to a more technical audience as they will dedicated focus on to presenting and discussing the results obtained in compiling the various types of ecosystem accounts and water accounts that have been developed under the NCAVES project. The third day is oriented to senior level representatives and will focus on a strategic discussion on NCA, including policy needs for the accounts and a roadmap for further development and mainstreaming.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘SDG 8.9 (Sustainable Tourism) Indicators’ for the benefit of the Palestinian Central Bureau of Statistics (PCBS) and other National Statistical Offices (NSOs) of Arabic speaking OIC Member Countries on 16-18 November 2021. Mr. Mohammad KHALAF, Head of Quality Management Division at the Department of Statistics of Jordan, will conduct the course and cover the following topics: Concept, the outputs of tourism and its relationship with other SDGs; Role of tourism in sustainable tourism; Introduction to sustainable tourism indicators; and The inputs of tourism statistics and outputs calculations. The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Provide an overview of the key concepts of SEEA ecosystem accounting; * Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ environmental and national accounting; * Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of ecosystem accounting. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 29 Jun 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants with theory and practice of quality management, process and product quality. To this purpose, a brief overview of the ESS quality framework, the quality dimensions and quality management models is given. Then, the focus of the course shifts on process and product quality measurement for statistics based both on traditional surveys and on multiple sources, including administrative data. The statistical process is described and tools for preventing and reducing the errors are presented and discussed. Methods and tools to assess non-sampling errors in statistical products are widely described.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
2021 ICP for Asia and the Pacific - Seventh Regional Online Workshop: Technical Evaluation and Review of Housing Rental and Discussion of Housing Volume Concepts
Source: Eurostat (Data extracted on: 29 Jun 2021 )
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Organizer(s): Eurostat EFTA
Description: The objective of the course is to introduce participants to some advanced techniques for treatment of non-response, variance estimation, calibration and sample coordination. Some of the theory will be illustrated by examples and some exercises will follow. The course starts with an introduction to the R software which will allow the participants to better understand the practical applications of these survey techniques and implement them successfully in practice.
Target Audience: Junior or senior staff of methodology divisions using sample survey techniques in the production of statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Bank of Italy
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP). ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This side-event was organized by Statistics Norway. It took place online on 15 November 2021, from 14:30 to 16:00 hrs, Bangkok time. Background: One of the greatest benefits of a having a good CRVS system is that the data can be used to update population registers for administrative and statistical purposes, including conducting register-based censuses. Such censuses cost significantly less, provide more timely results and can be conducted more frequently than traditional censuses. A population register, together with the use of unique ID numbers, can also be important for improving the quality and coverage of the CRVS system by making sure that all vital events in the population are registered and that they are correct. The interest in censuses that utilise administrative data is increasing. Besides the lower costs, the coverage of the population may be more complete and the quality of the data better. The Covid-19 pandemic has also alerted NSOs to the fact that data collection that does not require human contact may be advantageous for many other reasons. So far only a few countries, mostly European, have conducted fully register-based censuses, but many countries have combined the use of administrative data with data collected in the field, or are planning to do so in coming censuses. There is unfortunately no quick fix solution. It usually takes many years to develop the statistical basis and methodology for a register-based census. Several prerequisites need to be met, in particular good registers and the ability to link these at the unit record level. In this side-event, countries at different stages of development presented their experience and plans for register-based censuses. Some have just started to consider this alternative method of data collection whereas others now rely almost entirely on administrative registers. Biographies of speakers: Seo-young Kim is Technical Advisor in the Population and Development Branch of UNFPA since August 2020. She was previously Director of the Welfare statistics Division, Population and Social Statistics Bureau, Statistics Korea. Seo-young has extensive experience in survey and statistical methodology and data analysis, including the integration of survey and administrative data and social statistics. She is participating in UNFPA’s capacity strengthening of census analysis, and the register-based census method, and small area estimation of SDGs. She holds a PhD in Statistics from Chonnam National University in South Korea. Gulkhumar Abdullaeva is Head of the Demographic Statistics Division of the National Statistical Committee of the Kyrgyz Republic. She has also worked as chief specialist in the Social Statistics Department. She is educated from the Faculty of Economics, Kyrgyz State University. Karine Kuyumjyan is Head of the Population Census and Demography Division, Armstat (Statistical Committee of the Republic of Armenia). She was educated at the Institute of National Economy of Yerevan. She is responsible for the production of demographic statistics and for methodological and organizational procedures of population censuses. She has published several demographic papers, including several on mortality and migration. Maryam Pourreza Anvar is Group Leader for Census, Office of Population and Labour Force Statistics and Census, Statistical Centre of Iran. Hessam Khodamoradi is Expert on Population Statistics, Office of Population and Labour Force Statistics and Census, Statistical Centre of Iran. Anfal Al-Tamimi is ICT Specialist for census in the Information and eGovernment Authority, Bahrain. Nathaniel Matheson-Dunning is Senior Design Analyst, Census Methodology, Stats New Zealand. His work has primarily been focused on the increased use of administrative data at Stats NZ, including development of methods to produce estimates of the New Zealand population in a potential admin-first census model, which will supplement census responses with administrative data. Helge Brunborg is Senior Researcher in demography, Statistics Norway. He was previously in the Research Department, where he was in charge of the population projections, and is in the Division for International Development Cooperation. In recent years he has worked on CRVS, measurement of statelessness, international recommendations on refugee statistics, the demography of armed conflict, and register-based censuses. He has also worked for the International Criminal Tribunal for the former Yugoslavia (ICTY). He holds degrees in economics/demography from the universities of Oslo (MA) and Michigan (PhD).
Title in Arabic: تقنيات النمذجة والتقديرات باستعمال برنامج EVIEWS
Organizer(s): AITRS
Description: ينظم المعهد العربي للتدريب والبحوث الاحصائية دورة تدريبية حول تقنيات النمذجة والتقديرات باستعمال برنامج EVIEWS خلال الفترة من 14 إلى 18 نوفمبر 2021 لفائدة الجهاز المركزي للإحصاء بالجمهورية اليمنية وذلك بهدف دعم قدرات العاملين بالجهاز في الاساليب والتقنيات الضرورية للقيام بكل الانشطة الاحصائية المتعلقة بالتنبؤات وبالتقديرات الاقتصادية لأعداد الحسابات القومية بالأساس. وسيتم التعرض الى المواضيع التالية: - تنظيم ومعالجة المعطيات الإحصائية * بيانات لتقدير السلاسل الزمنية * بيانات لتقدير مجمع البيانات * تجميع البيانات للتقديرات - تقديرات المعادلات الخطية * الانحدارات المتعددة (Résidual Test, White test, Reset Test of Ramsey, Stability test of Chow, Forecast) - تقدير معادلات البيانات المجمعة POOL DATA (بنود مؤشر الإنتاج الصناعي) * إنشاء مشروع البيانات المجمعة POOL DATA * تنزيل البيانات المجمعة * تمثيل البيانات * اختبار جذر الوحدة لمجمع البيانات * التأثير الفردي العشوائي والتأثير الفردي الثابت * تقدير البيانلت المجمعة * اختبار Hausman: التأثير الفردي العشوائي * منظومة المعادلات: تأثير فردي ثابت * مؤشر الإنتاج الصناعي IPI: التنبؤ - السلاسل الزمنية. النمذجة أحادية المتغير (CPI) والتنبؤ * مؤشر الأسعار عند الاستهلاك * اختبار جذر الوحدة * تعريف النموذج: الارتباط الذاتي بين الأخطاء العشوائية والارتباط الذاتي الجزئي * تقدير النموذجARMA (1,1) * Box-Jenkins توقعات * الطريقة غير المعلمية: التنبؤ * نتائج طرق التنبؤ المختلفة - السلاسل الزمنية: دراسة نماذج المتغيرات المتعددة * اختبار العلاقة السببية بين المتغيرات (CPI,M3,NEER) * نموذج VAR (Vector Autoregression Estimate) * Block Exogeneity Tests - استهداف نماذج ECM للتنبؤ على المدى الطويل والقصير * نمذجة 3 معادلات باستعمال نموذج اصلاح الأخطاء العشوائية * اختبار Johanson * تقديرات نموذج اصلاح الأخطاء العشوائية Model EC * تقدير نظام المعادلات المتزامنة * اختيار الفرضيات
Title in Arabic: التحليل الاحصائية باستخدام SPSS وبرمجية R
Organizer(s): AITRS
Description: تلعب البرمجيات وتوفر التطبيقات دورا هاما في المساعدة على تحليل وإنتاج المعلومات والمؤشرات الإحصائية بأشكال حديثة قابلة للفهم بيسر ومعبرة عن النتائج مع الاشارة الى ضرورة اختيار البرمجية والتطبيقية الجاهزة التي تساعد في التحليل والدراسة لا سيما ان بعض التطبيقات أصبحت متخصصة لتحليل ظاهرة معينة بشكل أكفأ من غيرها. كما توصي بعض الجهات المانحة باستخدام تلك التطبيقات لأغراض المقارنة وبناء تراكمي لبيانات الدولة او الجهة الإحصائية قصد التعامل مع كافة أنواع البيانات وأشكالها في التحليل الاحصائي من حيث حجم البيانات او نوعها بعد عملية تنظيف البيانات وترميزها لتكون جاهزة للتحليل واستخلاص النتائج ومن ثمة تفسير تلك النتائج. أن للتحليل الإحصائي دور كبير في اختصار الوقت وتوفير الجهد وإعطاء نتائج دقيقة حيث يوجد عدد من برامج التحليل الإحصائي تمكن من القيام بتحليل إحصائي لمجموعات البيانات الخاصة به. وتأتي هذه الورشة لتعريف المشاركين على استخدام (R & SPSS)، والالمام ببعض الجوانب التفصيلية لكلٍّ منها. والقيام بإجراء عمليات التحليل الإحصائي على البيانات وفهم معناها ووصفها بطريقة إحصائية سليمة. وبناءً على طلب الجهاز المركزي للاحصاء في الجمهورية اليمنية ينظم المعهد ورشة محلية لصالح موظفي جهاز الاحصاء في اليمن. يتضمن منهاج الورشة المواضيع التالية: * مقدمة عن برنامج SPSS * كيف تبدأ بتشغيل الحزمة البرامجية SPSS * استعراض Variable view * استعراض Data view * استعراض مكونات قوائم البرنامج (file, edit, view, data, transform, analyze, graphs, utilities, help ) بشكل موجز * كيفية فتح ملف بيانات How to Open SPSS File * كيفية إدخال البيانات Data Entry * تعريف المتغيرات وعنونتها Variable Label, Value Label * كيفية حفظ/تخزين ملف البيانات How to Save SPSS File * طلب أو تصدير ملف بيانات من برامج أخرى (Excel,…) * كيفية الخروج من الحزمة البرامجية How to Exit from SPSS * استعراض قائمة Transform * استعراض قائمة Data * استعراض قائمة Analyze * التحليل الوصفي للبيانات Descriptive Analysis * التوزيعات التكرارية Frequencies * الجداول / الجداول المتقاطعة Cross tabulation & Tables كما سيتم التركيز على تدريب عملي على نماذج التحليل واستخدام وتفسير مقايس إحصائية بالاضافة الى تمارين وامثلة عملية . اما الفترة الثانية من الدورة فتخصص الى برمجية R وسيتم التركيز بالاساس على المحاور التالية: * تعريف واستخدامات برمجية R * تحميل البرمجية وتعريف الادوات الخاصة بها وكيفية التعامل مع كل إدارة * تطبيقيات برمجية R امثلة عملية وتجارب * الأوامر والايعازات في لغة R * كتابة البرامج وتنفيذها * استخراج النتائج ونشرها باستخدام أدوات النشر الحديثة بواسطة برمجية R
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: Objectives: * To provide participants with a theoretical and methodological background on the development of indicator systems, especially in the context of monitoring SDGs; * To build up a common understanding of terms, definitions, as well as the role and limits of official statistics in the construction and maintenance of indicator systems; * To provide knowledge about the links between policy makers and other users of indicators and the statistical community providing data and indicators. The course will not address the following topics: * Construction of individual indicators Construction of data platform and reporting procedures for SDGs monitoring; * Use of indicators in statistical models.
Target Audience: Staff members working in the field of monitoring the UN Sustainable Development Goals (SDGs) or of economic, social or environmental statistics who are or who will be involved in indicator systems or who need to extend their knowledge on how to use indicators and indicator systems. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Link to view recording video here (Passcode: rp85^H?C) This side-event was organized by Vital Strategies in partnership with Bloomberg Philanthropies Data for Health Initiative and partners. It took place online on 12 November 2021, from 11:00 to 12:00 hrs, Bangkok time. Background: As countries make strides to improve the quality, production, and reporting of civil registration and vital statistics (CRVS) data, it is important to have a foundation of the importance, analysis, and use of those data. It is also important to ensure that the data are reported and made available to decision-makers for policymaking. The 10-session “Analysis and Use of Vital Statistics” (AUVS) eLearning Course is a fully virtual, interactive course that teaches participants how to conduct and interpret basic vital statistics data analysis. Participants will become more familiar with calculating vital statistics and the advanced uses of CRVS data. Participants will also learn to create high-quality vital statistics visualizations and reports and learn to disseminate CRVS data to multiple audiences and stakeholders. In combination with Production of a Vital Statistics Report resource kit, this course prepares participants to produce statistics and tabulations necessary for a national vital statistics report and prepare a plan for its dissemination and communication. The modular course is divided into 10 sessions, which includes exercises and video “webisodes.” The webisodes provide a deeper understanding of important CRVS topics, such as verbal autopsy, excess mortality, completeness of registration, and developing effective visualizations for reporting on vital statistics. The Ministerial Conference provides an opportunity to introduce this virtual approach to strengthening the production of vital statistics and championing the use of this data for decision-making. Online self-paced learning is a valuable tool for capacity development of government staff whose high workload and competing demands limit their availability to attend in-person meetings. This has also been especially useful during the pandemic. Furthermore, the online content can be used to supplement in-person development and could be relevant to a range of needs beyond the production of vital statistic reports. Scope: This side event began with an audience Q&A regarding challenges involved in analyzing and presenting CRVS data and then offered an overview of the eLearning course and a linked panel discussion featuring country representatives from the region and technical experts who spoke on the different applications and value of the course for vital statistics production, dissemination, and use, addressing the issues raised by audience members. The panel discussion was followed by another question-and-answer session and information on how to access the course. This side event was relevant for countries in the region who were interested in strengthening the analytical capacity of CRVS team members and using this knowledge to produce and report on vital statistics. The course is an eLearning adaptation of the CRVS Data Use course, which was originally developed with Bloomberg Philanthropies Data for Health Initiative partners, included the US Centers for Disease Control and other partners. Background materials: AUVS course on Vital Strategies’ Learning Management System
Description: With a view to raising awareness of countries in monitoring their progress towards the achievement of the SDGs, FAO will be hosting a series of virtual regional workshops and training...
Source: IMF Metac (Data extracted on: 31 May 2022 )
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Organizer(s): IMF AMF
Description: Strengthen compilation and dissemination of national accounts statistics for decision making according to the relevant internationally accepted statistical standard.
Organizer(s): ECB Federal Reserve Bank of New York United States
Description: The aim of the conference is to bring together scholars to present their current research on expectations surveys, including surveys of households, firms, financial market participants, analysts, and other experts such as professional forecasters. The focus of this second joint European Central Bank and the Federal Reserve Bank of New York conference will be on the use of such surveys to measure and understand economic expectations, as well as how expectations feed into economic decisions with potentially wide-reaching implications for the economy and for monetary policy.
Description: During this Global Network Webinar, Matthias Reister, Chief of Development Data Section in UNSD, presented and demonstrated the newly launched Global SDG Indicators Data Platform. In September 2021, the new Global SDG Indicators Data Platform was launched. The platform includes a new and user-friendly interface of the Global Sustainable Development Goal Indicators Database, where SDG indicator data can be easily searched and downloaded. The platform also provides access to the SDG Country Profiles, where trends for individual countries across the SDG goals are being shown. In addition, the entirely new SDG Analytics allows the interactive analysis of data availability, to review global and regional trends for individual indicators, and to compare trends for countries and areas and for different indicators. During the webinar, the new interface of the Global SDG Database and other features, including SDG Country Profiles, SDG Analytics, and various Advanced Access options, were presented and demonstrated. In addition, the speaker shared examples and experiences on how to better leverage this platform for different analytics purposes. Following the presentation, participants expressed their interest in this platform and asked questions about country data access, data availability across countries, and data disaggregation analysis
Organizer(s): UNSD Global Health Advocacy Incubator CDC Foundation Vital Strategies
Description: This side-event was organized by Vital Strategies in partnership with Global Health Advocacy Incubator, CDC Foundation and UNSD. It took place online on 11 November 2021, from 09:00 to 10:30 hrs, Bangkok time. Background: Appropriate legislative and regulatory frameworks are foundational to the full functioning of CRVS systems. The review and revision of the legal frameworks is therefore a critical component to the strengthening of CRVS systems. Available tools for the review of legal frameworks and experience from the implementation of these tools, demonstrates the value of such activities. As part of the Data for Health Initiative (D4H), the Global Health Advocacy Incubator (GHAI) together with the other partners in the Bloomberg Philanthropies Data for Health Initiative (D4H), conducts CRVSID legal reviews in partnership with in-country partners and legal consultants. A legal review is designed to identify where the current CRVSID legal frameworks do and do not align with best practices, and based on these findings, recommend specific legal reforms. A legal review is done using the CRVSID Legal and Regulatory Review Toolkit, which was created by GHAI and other D4H partners based on the United Nations Statistics Division Guidelines on the Legislative Framework for Civil Registration, Vital Statistics and Identity Management. Scope: This side event introduced the CRVSID Legal and Regulatory Review Toolkit and provided an opportunity for several countries, which had undergone a CRVSID legal review, to share their experiences and the results of the review. This side event was carried out in the format of a workshop with the aim of triggering the thinking of participants regarding best practices pertaining to CRVSID legal frameworks.
Description: This side-event was organized by UNICEF. It took place online on 11 November 2021, from 14:30 to 16:00 hrs, Bangkok time. Background: The ability of individuals to prove their identity – and the ability of governments to accurately identify beneficiaries – is a direct or indirect enabler of several SDGs, including those relating to gender equality and empowerment, access to basic health and education services, and child protection. Unique identifiers (usually in the form of a unique identification number) can be an important element in a well-functioning CRVS system and are increasingly important in identity management and data linkage – both within line ministries, and between ministries and the national statistical system. Scope: UNICEF has a specific mandate to protect, respect and uphold the rights of children and their families globally, and to help facilitate full implementation of the Universal Declaration of Human Rights and the Convention on the Rights of the Child (CRC); including supporting the establishment of a legal identity at birth. Unique identification numbers are used across a broad range of functional registers – including health, education, and child protection, improving the accountability and effectiveness of cash programming. But a discussion on when and how to link data – balancing privacy against the risks of not using data, and harnessing new technologies to help improve service delivery for better outcomes and improved inclusivity is often needed. This side event aimed to give participants a better understanding of the various approaches to unique identifiers being used in administrative data systems relevant to children, common and emerging practices globally, current international recommendations and best-practice examples (and their consistency across sectors), and the benefits and risks of these approaches and recommendations.
Source: World Bank (Data extracted on: 29 Nov 2021 )
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Organizer(s): World Bank
Description: In today’s world, data has become an essential resource for a nation’s digital development. The latest World Bank Development Report (WDR) 2021 “Data for Better Lives” points to many studies that show that digital transformation based on effective data management can have an impact on economic growth, new jobs creation and social inclusion. Reaping dividends from digital transformation is high on national development agendas worldwide, as both governments and businesses face the need to justify investment in new disruptive technologies and digital infrastructure. A data-driven approach can help public and private sector organizations to better understand, derive, calculate and communicate those dividends and pinpoint areas for further investment. The countries of Eurasia are already making important first strides in the development of data-driven economy. Azerbaijan, Moldova, Kazakhstan, Kyrgyzstan, Uzbekistan have created their own Open Government Data Portals, which have gathered a total of more than 10 thousand open data sets. Not only citizens can easily access that data but also IT companies can develop applications that can be useful for the public by using the open government data. Georgia provided e-Apostille, a user-friendly digital solution allowing to verify up to 100 types of documents issued by Georgia’s public authorities. eTIR system in Tajikistan allows completely paperless cross-border transit of goods, which ensures the secure exchange of data about the international transit. Ukraine is developing the project “country in a smartphone” and through one official application “Diia” (“Action”) gives access to more than 50 types of data-driven governmental services. Following the keynote presentations of WDR 2021 and Korean data-driven transformation journey, high-level representatives from several Eurasian countries will discuss potential data economy policy recommendations in the panel discussion “Next steps for developing Eurasian Data Ecosystems” as part of this special session within the StrategEast State and IT Eurasian Forum in Bishkek co-hosted by the World Bank and UNDP with the support of the Korea-World Bank Partnership Facility financed Digital Resilience program.
Description: This side-event was organized by Vital Strategies in partnership with ESCAP and WHO South-East Asia Regional Office. It took place online on 10 November 2021, from 12:00 to 13:30 hrs, Bangkok time. Background: Based on recent experiences of CRVS system strengthening efforts in Asia and the Pacific as well as other parts of the world, there is a growing realization among the CRVS community that improving business processes of a civil registration system is key to the improvement of registration completeness and services in the quickest possible time. The recently launched CRVS Systems Improvement Framework provides detailed guidance for countries to apply an innovative, multi-sectoral, participatory, and process-centric approach to continually improve the performance of CRVS systems. With support from Vital Strategies, WHO-SEARO, and ESCAP, countries in Asia and Pacific are implementing efforts to strengthen their CRVS system using the process-centric approach. The Ministerial Conference provided an opportunity to introduce this innovative approach to CRVS system strengthening to other countries in the region in the form of a workshop and to share experiences form countries applying the methodology. Scope: The side event started off with an introduction to the process-centric methodology of CRVS system improvement and brief presentations of lessons learned from countries in Asia and Pacific that had applied the methodology. This was followed by a workshop during which participants could gain hands-on experience of part of the methodology. The side event was relevant for all countries in the region interested in strengthening their CRVS system. As background material, please see the CRVS Systems Improvement Framework, the webinar to launch the Framework, and the e-learning course of the Framework.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Definitions, concepts and classifications used in UOE data collection (students enrolled, entrants, graduates, personnel, foreign language learning, leraning mobility and education expenditure) in order to respect the European legal framework for education statistics General issues of the financial data such as concepts, scope and types of transactions including improving education expenditure data and reconciliation exercise with national accounts.
Target Audience: Statisticians who will work (or are working) on education statistics in UOE data collection. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This side-event will be organized by Vital Strategies in collaboration with Bloomberg Philanthropies Data for Health Initiative and partners. It will take place online on 9 November 2021, from 14:30 to 16:00 hrs, Bangkok time. (Registration and related details will be shared soon.) Background: Millions of people globally live and die without any proof of existence. Without records of vital events such as birth and death, they are too often unable to access social benefits such as education, inheritances, the right to vote, or programs like universal health care. It’s not only a plight for individuals—it’s a governance challenge. If we want to truly ‘get everyone in the picture,’ universal civil registration is fundamental. Leaders must strive to broaden the coverage of national systems to be more equitable and inclusive. Scalable CRVS system improvements are rapidly more attainable than previously thought. The main ingredients? Dynamic leadership, close coordination among the numerous agencies involved in CRVS, innovative technology, and the efforts of persistent champions at all levels of the system. We know that with strong leadership and effective coordination across diverse sectors and stakeholders, universal registration is possible. New tools and technologies are enabling countries to reform and modernize their CRVS systems. CRVS is unique in its power to simultaneously benefit every individual and inform public policy. Counting everyone is within reach. If we are to build a truly more inclusive, equitable, and healthier world, we must ensure that everyone counts by #CountingEveryone. With Bloomberg Philanthropies Data for Health Initiative partners, Vital Strategies has developed the #CountingEveryone campaign to highlight the strength of leadership and coordination to facilitate real progress made across the world in improving CRVS systems. #CountingEveryone will showcase the champions of this progress with the hope of motivating other leaders to catalyze progress toward CRVS system improvement. Scope: A panel discussion that showcases successes in CRVS transformation through strong leadership and coordination with country representatives from Bangladesh, Sri Lanka, one other country from the ESCAP region to be confirmed, and Rwanda. The discussion will clearly illustrate the practical outcomes and benefits of coordinated governmental efforts in CRVS improvement and aims to motivate government leaders and key policymakers to prioritize improvements to their country’s CRVS system. Partners: Government of Bangladesh Rwanda National Identification Agency and Ministry of Local Government Sri Lanka Ministry of Health Data for Health initiative partners Background materials: Bangladesh and Rwanda case study videos #CountingEveryone campaign announcement
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘Energy Statistics for the SDG 7 Indicators’ on 09 November 2021 in collaboration with the International Energy Agency (IEA) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC member countries. The main objective of the Webinar is to raise awareness about the internationally accepted standards and guidelines regarding the collection and compilation of energy data for the relevant SDG indicators which focus on energy efficiency and renewable energy. The Webinar cover the following topics: Fundamentals of energy statistics; Approaches to energy data collection; Energy statistics and balances for the SDG indicators 7.2 and 7.3; and Focus on renewable energy statistics for the SDG indicator 7.2. The Webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Webinar Documents: Concept Note and Work Programme (English)
Description: This side-event was organized by ESCAP. It took place online on 9 November 2021, from 12:00 to 13:30 hrs, Bangkok time. Background: The current pandemic has put mortality statistics at the center of attention. Daily reports of the number of deaths due to COVID-19 have been a critical tool of governance and have played a major role in public debate. This scrutiny has made visible shortcomings in cause of death and overall mortality monitoring that most countries still experience. The true toll of the pandemic and the consequences of these shortcomings in the monitoring tools are still to be measured, but the importance of addressing them so that every death is registered is undeniable. While estimates of the number of births that are not registered globally have been published by UNICEF, the literature on similar estimates for unregistered deaths is limited. Recent debates and studies have mostly focused on COVID-19 related deaths and not on overall death registration. ESCAP has therefore tried to develop an estimate of unregistered deaths for the Asia and the Pacific region. The study conducted based on publicly available data found that 7.8 million deaths were still not registered in 2018 in the region. This important blind spot has detrimental consequences for the current crisis, but also for future ones and for overall public governance. Further identifying where these ‘invisible’ deaths occur and who are the ones not counted is necessary to achieve universal registration. At the midpoint of the Asia and Pacific Civil Registration and Vital Statistics Decade, the results of this study highlight the progresses made both in data availability and in registration completeness, as well as the challenges remaining in those aspects. Scope: This side-event was based on a Stats Brief published by ESCAP. It was independent from the midterm review of the implementation of the Regional Action Framework for CRVS in Asia and the Pacific since it used different data sources for most countries. As a result, it covered all countries in the region, including countries that have not answered the midterm questionnaire on the implementation of the Regional Action Framework.
Description: The adoption of the 2030 Agenda for Sustainable Development requires governments and stakeholders to monitor progress towards the defined goals and targets relating to decent work and economic growth. The 19th and 20th ICLS Resolutions on work statistics are crucial for the analysis of decent-work-related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. A strong statistical system for producing, collecting and disseminating reliable, comprehensive and timely labour-market information is critical for evidence-based policy-making which promotes "full and productive employment and decent work for all". The ILO Department of Statistics, in close collaboration with the International Training Centre of the ILO, is proud to be organizing the 2021 Labour Market Statistics and Analysis Academy, with a particular focus on the outcomes of the 19th and 20th ICLS concerning emerging trends in the world of work and the SDG monitoring framework for measuring decent work and supporting evidence-based policy-making. The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity for identifying, collecting, analysing and disseminating labour-market information and other indicators related to decent work. Moreover, the Academy emphasizes the 20th ICLS Resolution on the statistics of work relationships as an important pillar for measuring progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Course Language: English
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP ADB ESCAP SIAP
Description: The course is designed for personnel working in the field of statisticswhose main responsibilities include data analysis of SDG indicators and related statistics with a specific target on data scientists from NSOs with an experience in both statistical modelling (regression analysispredictionclassification...) and with programming or algorithmic skills. Although no programming will be required to follow and succeed in the coursethe pedagogical materials include R codein the form of reproducible markdown notebooksas well as some Python resources and code.
Source: ESCAP SIAP (Data extracted on: 28 Oct 2021 )
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Organizer(s): UNIDO ESCAP SIAP
Description: This course is designed to provide a strong foundation for the main pillars of SDG 9the relationship of this goal and the 2030 Agenda with ISIDincluding its contribution to building peace and prosperity for all. Target participants are government statisticians from national statistical officesMinistry of Industry and Investment Promotion Agencies (IPAs) who are involved in compilingdisseminating and analyzing statistics and indicators on industryinnovation and infrastructure; conducting policy for industrial growth and attracting investments into their countries.
Description: Within the framework of the Vocational Education and Training Programme for the Member States of the Organization of Islamic Cooperation (OIC-VET) and in collaboration with the Gambia OIC-Secretariat, SESRIC will organise a Training of Trainers (ToT) Course on “Business Formation and Entrepreneurship Skills Development” on 08-10 November 2021 through an online video conferencing platform. The ToT course will be provided by a competent expert for the benefit of experts and trainers from the Technical and Vocational Education and Training (TVET) Institutions in the Gambia. The main objective of the ToT course is to equip the participating trainers with the skills needed to plan and manage trainings as well as to conduct mentoring sessions for entrepreneurs according to international standards. The ToT course will also focus on providing both theoretical and practical aspects of business formation and entrepreneurship to assist TVET trainers in delivering quality education to the Gambian entrepreneurs and help them overcome the challenges faced in their businesses. The Vocational Education and Training Programme for the Member States of the Organization of Islamic Cooperation (OIC-VET) is an initiative of SESRIC officially launched at the COMCEC Economic Summit held in Istanbul, Turkey, on 09 November 2009. The Centre developed and designed this Programme to support and contribute to the efforts of the OIC member countries towards addressing the challenges and limitations faced in the area of TVET. The Programme aims to enhance the quality of TVET systems in the OIC member countries, which in turn contributes to the development and competitiveness of their economies. SESRIC, in its capacity as the Executing OIC Organ of the Programme, monitors the implementation of the “OIC-TVET Strategic Roadmap 2020-2025”, and regularly submits the progress reports towards the implementation of the Roadmap to the COMCEC Sessions and the Follow-up Committee Meetings. For more details about the OIC-VET Programme and its activities, please visit: https://www.oicvet.org.
Organizer(s): UNICEF Ministry of Planning, Development and Special Initiatives Pakistan
Description: This side-event was organized by Ministry of Planning, Development and Special Initiatives Pakistan in partnership with UNICEF Pakistan Office. It took place online on 8 November 2021, from 14:30 to 16:00 hrs, Bangkok time. Background: The Ministerial Declaration and Regional Action Framework commit countries to continue the work to enable the Asia-Pacific region to improve and align efforts, as well as tracking progress towards getting everyone in the picture. Reaffirming the human right of everyone to be recognized everywhere as a person before the law, which is enshrined in the Universal Declaration of Human Rights. The Regional Action Framework on CRVS responds to that request as a catalyst for Governments and development partners to focus and accelerate their efforts to realize a shared vision and the three CRVS goals outlined during the proposed civil registration and vital statistics decade for Asia and the Pacific (2015-2024). The Regional Action Framework facilitates collaborative action at local, provincial, national and international levels by enabling multiple stakeholders to align and prioritize their efforts, as well as to monitor progress towards achieving shared results. The realization of the shared vision depends on coordinated and concerted efforts to develop and enhance the capacities of members and associate members. In order to follow the Regional Action Framework Ministry of Planning, Development & Special Initiatives (Technical Support Unit for CRVS) is proposing “Establishment of CRVS Sister Districts in SAARC Countries”. This will provide opportunities to all member countries to share experience based CRVS implementation processes, CRVS reforms and legislations at National level. This initiative will also be productive for countries which are in initial phase of implementation of CRVS reforms. Based on the reforms and legislations the best CRVS model will be designed for Sister Districts which will be replicated in the respective identified districts of all SARRC Countries. Scope: The side event provided opportunity to other member countries for sharing their inputs regarding "Establishment of CVRS Sister Districts". Consensus was made through debate and opportunities were shared by potential donors in terms of funding’s if available. UNESCAP had identified Asian Countries and in collaboration various events like Workshops, Summits and International Conferences were already conducted. The Ministry of Planning, Development & Special Initiatives took the leading role in planning and establishing of Sister's Districts. The forum also helped in identification of opportunities and bridging the gaps pertaining to this model: To learn from experiences of regional SAARC countries for acceleration and enhancement of vital events registration and to ensure vital statistics of international importance. To deliberate on prospects for institutionalization of a Civil Registrar’s network of SAARC counties (CR8), scope of its functioning, information sharing and mutual cooperation. To share experience based best practices and ensure implementation across the region among Sister Districts mutual coordination. To develop coordination mechanism among CRVS Sister Districts.
Description: This side-event was organized by UNHCR Regional Bureau for Asia and the Pacific. It took place online on 8 November 2021, from 11:00 to 12:30 hrs, Bangkok time. Background & Scope: UNHCR provides international protection to individuals who are refugees, asylum seekers, returnees, internally displaced, stateless, or at risk of statelessness. As part of this mandate, UNHCR promotes birth registration for children born to refugee parents. All States in the ESCAP region are State Parties to the Convention of the Rights of the Child, which provides that children “shall be registered immediately after birth”. This wording includes children born to refugees, regardless of the fact whether a country has signed up to international standards for the protection of refugees. The Ministerial Declaration to “Get everyone in the picture” in Asia and the Pacific, adopted at the Ministerial Conference on Civil Registration and Vital Statistics in Asia and Pacific on 28 November 2014 recognizes the need to address disparities in the civil registration that affect refugees. In addition, the Declaration affirms the critical role of civil registration for the prevention of statelessness, and the promotion of durable solutions for refugees. However, children born to refugee parents still face challenges regarding their birth registration in various countries of the Asia and Pacific region. The side event therefore explored how such challenges can be successfully addressed. Practice examples from ESCAP Member States illustrate how they have made birth registration work among refugees (and, possibly, other persons under UNHCR’s protection mandate). UNHCR protection staff from the same countries explained how UNHCR can support governments to make birth registration of children born to refugee parents operational. The event included presentations by government and civil society partners. Agenda: 11:00 - 11:15 Introduction by Mrs. Aurvasi Patel, UNHCR RBAP Head of Protection Service: The role of birth registration in refugee protection 11:15 - 11:25 Statement by youth activist, scholar and former refugee Mrs. Safia Ibrahimkel 11:25 - 12:25 Best practices in ESCAP Member States regarding the inclusion of birth registration of refugees into national mainstream civil registration systems Central Asia: Mrs. Elvira Azimova, National Human Rights Commissioner in the Republic of Kazakhstan South-East Asia: Asst. Prof. Darunee Paisanpanichkul, Deputy Dean for Legal Research and Service, Faculty of Law, Chiang Mai University, Thailand Pacific Region: Mr. Mark Rowe, UNHCR Multi-Country Office, Canberra Panel and debate moderated by Mr. Matthias Reuss, UNHCR RBAP Senior Statelessness Officer 12:25 - 12:30 Concluding remarks by Mrs. Aurvasi Patel, UNHCR RBAP: Way forward towards comprehensive birth registration among children of refugees and other persons falling within UNHCR’s protection mandate
Description: The UN Climate Change Conference (COP 26), hosted by the UK in partnership with Italy takes place from 31 October to 12 November 2021 in Glasgow. The aim of this year’s edition is to finalize remaining decisions to accelerate action towards the goals of the Paris Agreement and the UN Framework Convention on Climate Change (UNFCCC). FAO is present to reinforce its commitment to supporting countries in the climate negotiations, and will continue to advocate for and promote sustainable, efficient and resilient agri-food systems as part of the solution to the climate crisis, biodiversity loss and ecosystem degradation. Organized by the European Commission's Joint Research Centre in partnership with FAO, "Options for climate-neutral transition towards sustainable food systems and forest management" will discuss how the food system could support climate neutrality. The event will showcase new estimates of two global databases (EDGAR-FOOD and EDGAR-LULUCF) for greenhouse gas footprints on sectorial level. A global simulation model (MAGNET) will demonstrate the potential effects of reducing food waste and changing diets to improve the food system's sustainability.On this occasion, FAO will also launch its new dataset on agri-food systems emissions in FAOSTAT (https://www.fao.org/faostat/en/#data/EM/visualize). This dataset is instrumental for the discussions countries, as well as enabling targeted implementation of some of the pledges countries make to pursue carbon neutrality. Programme: https://www.cop26eusideevents.eu/programme Recording: https://www.youtube.com/watch?v=R2wuOj0fiY0&t=2535s Press release: https://www.fao.org/newsroom/detail/supply-chain-is-growing-source-of-agri-food-GHG-emissions/en
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: FAO launches the FRA 2020 Remote Sensing Survey findings at the COP26 side event "Forest ecosystems trends and innovation: satellite observation, simulations, and fire fighting".
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Make the participants aware of what is involved in the acquisition of PHD for use in official statistics, including the European legal and policy background and what is needed for developing partnerships. The course should enable the participants to apply the acquired knowledge in roles such as developing policies concerning the acquisition and use of PHD and developing partnerships.
Target Audience: Staff from NSIs who are involved or wish to become involved in the acquisition of privately held data (PHD) as a source for official statistics. This engagement may come in different shapes, such as involvement at a legal or policy level, in negotiations with holders of PHD or stakeholders engagement. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): OECD Ministry of Culture, Sports and Tourism Republic Korea
Description: The OECD Global Forum on Tourism Statistics, Knowledge and Policies brings together high-level policy makers, statisticians, and leaders from the private sector and civil society to exchange ideas, views and experience on issues high on the global tourism policy agenda. The 2021 edition of the Global Forum is hosted by the Ministry of Culture, Sports and Tourism of the Republic of Korea, on the theme reshaping tourism for a more resilient and sustainable tomorrow. It will provide a unique platform to support tourism recovery and develop a common transformation agenda for the tourism economy, to move to stronger, more sustainable and inclusive models of tourism development in the future. This year’s Global Forum on Tourism will be a hybrid event, online and in-person in Seoul Korea.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: يأتي تنظيم هذه الورشة استجابة لمقترحات وردت على المعهد من المشاركين الذين حضروا الورشة التدريبية التي عقدت عن بعد حول التجارة الالكترونية خلال الفترة 11-13/08/2020، والتي تم خلالها التعرف على مفهوم التجارة الالكترونية وأبرز مؤشراتها، بالإضافة لفوائد التجارة الالكترونية واستعراض سريع لإطار دليل قياس التجارة الرقمية. تنظم هذه الورشة بالتعاون مع مؤتمر الأمم المتحدة للتجارة والتنميةUNCTAD بهدف مراجعة دليل إنتاج إحصاءات الاقتصاد الرقمي (التجارة الإلكترونية) بالإضافة لمعرفة احتساب مؤشرات قياس الداء للتجارة الإلكترونية تمهيداً للخروج بخارطة طريق ترسم معالم قياس التجارة الإلكترونية في الوطن العربي ومدى مساهمتها في التجارة الإلكترونية على مستوى العالم.
Source: UN Women (Data extracted on: 26 Oct 2021 )
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Organizer(s): UN Women ILO
Description: UN Women and the ILO are organizing a joint technical webinar to support filling gender data gaps and share knowledge on the latest international statistical standards guiding the measurement of unpaid domestic and care work. Equally important, the webinar will also provide illustrations of time-use surveys conducted both prior and during COVID-19 and will showcase how results can inform national policies.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Present the essentials concepts of open data and linked open data. * Improve data management skills in exploring feasible data sources, finding publications, data portals and how to publish them.
Target Audience: Official statisticians (including process managers) with data management skills, who are interested in exposing data and metadata assets using linked data principles. The course is not meant to be targeted exclusively at IT specialists but can also be useful for staff involved in dissemination. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: This 2021 version of the seminar focuses primarily on the topics of the 2025 SNA update and the future of economic statistics, based on information on the status of the guidelines and the global consultation on topics such as welfare and sustainability, and the informal economy.
Description: This e-Learning programme is organized by UNSD, in collaboration with the UN ESCAP. It provides an overview of the System of Environmental-Economic Accounting (SEEA) Central Framework (CF) and how it can be used for sustainable policy decisions. The e-Learning programme is directed towards select countries in Asia which have active SEEA programmes. In particular, the programme is aimed towards users and producers of SEEA accounts, with a focus on users of the accounts. By involving policy makers and data users from line ministries, as well as producers from national statistical offices, the programme seeks to develop shared understanding and appreciation of the value of the SEEA accounts among key stakeholders. The programme is designed to enable participants to take the following actions in their respective national context: a) Convene multi-agency stakeholders to develop a plan for the production and use of SEEA accounts. b) Better communicate results of existing SEEA accounts, highlighting policy applications of the SEEA for biodiversity, climate change and macroeconomic policies; and c) Improve the use of the accounts in development and monitoring of national environmental policies and reporting for international frameworks.
Organizer(s): SESRIC Occupational Health and Safety Institute Tunisia National Social Security Fund Djibouti
Description: Within the framework of the OIC-OSHNET Work Plan 2021-2022, the Tunisian Occupational Health and Safety Institute (TOSHI) of the Republic of Tunisia, in collaboration with the National Social Security Fund of the Republic of Djibouti, will organise a Training Workshop on “Data Collection and Analysis in Occupational Safety and Health (OSH)” on 01-04 November 2021 through an online video conferencing platform. The training will be provided by competent experts from the Tunisian Occupational Health and Safety Institute (TOSHI) and the National Social Security Fund of the Republic of Djibouti for the benefit of participants from the National OSH Authorities of OIC member countries. The training course aims at strengthening the technical capacities of the participants on how to maintain and use statistics of occupational accidents with a view to promoting prevention of occupational risks in companies as well as developing an action plan at national levels. The training workshop will also provide insights into various subjects, including the process for collecting and analysing statistics at regional and national levels and statistics of work accidents as a tool for help and guidance in companies. The OIC-OSHNET is an OIC platform established to create closer cooperation among the national OSH Institutions of the OIC Member States through sharing knowledge, experience and best practices. SESRIC assumes the role of the OIC Technical Coordinator of the OIC-OSHNET and provides facilitation and necessary technical support for the successful implementation of the activities organised within the framework of the OIC-OSHNET Work Plan 2021-2022. For more details about the Network, please visit: https://oshnet.sesric.org/index.php
Description: This course, presented by the IMF's Statistics Department, will discuss identification and assessment of indicators and techniques for combining indicators into a single overall index of economic activity to track trends in the economy. Flash estimates or indexes of economic activity bring together a range of specific economic indicators to give timely overall measures of economic trends. Such measures give useful additional information to policy makers beyond annual and quarterly GDP estimates (which are more comprehensive but usually only available after substantial lags) and partial monthly and quarterly indicators (which are up-to-the-minute but reflect just a portion of the total economy). This course is oriented toward actual or potential compilers of short-term indicators in central banks and statistical offices as well as those involved in data collection of monthly indicators. Participants are expected to prepare a list of available monthly and quarterly indicators for their country and assemble data. These indicators will be used in the workshop part of the course to develop experimental estimates.Course Objectives: Upon completion of this course, participants should be able to: - Explain the nature and potential uses of high frequency statistic on economic activity as well as their relation and consistency within the system of national accounts.- Develop a simple framework to compile an index of economic activity, from collection of source data to implementation of simple statistical methods and index compilation techniques.- Exploit useful short term information contained in the IEA by applying some analytical tools, deriving tables, and statistical procedures.
Description: Adaptive survey designs aim to get a better balanced response by putting different effort in different groups of the population. They are effective in improving survey results and reducing survey costs. Over the last decade, a lot of methodological research has been done on this topic. In this webinar, an overview of research on adaptive survey design will be presented. After that, the implementation of adaptive survey design is demonstrated at the hand of the Dutch Health survey. In this survey a sequential mixed mode strategy CAWI followed by CAPI is applied. The feature to adapt is the CAPI follow-up. The design is developed in such a way that through stratified selection of internet nonrespondents for face to face follow-up, nonresponse bias can potentially be reduced. Mode-specific measurement errors which likely exist in many surveys, especially in the Health survey, have not received much attention in adaptive survey design. In order to separate and quantify mode-specific measurement effects and selection effects, an experiment with re-interviews is planned for the Health survey. The sampling and questionnaire design including analysis possibilities are discussed in the webinar.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: In its report to the Eleventh session of the United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM) in August 2021, the Working Group on Marine Geospatial Information informed the Committee of a webinar series hosted by the Maritime and Port Authority of Singapore (MPA) and jointly organized with the International Hydrographic Organization (IHO), the Open Geospatial Consortium (OGC) and the Working Group in conjunction with the official launch of the IHO-Singapore Innovation and Technology Laboratory. UN-GGIM noted the planned webinar series on integrated marine geospatial information as precursor activities for the third expert meeting of the Working Group, expected to be convened in April 2022, in Singapore together with an international seminar. This webinar series will provide a forum for dialogue and engagement to address effective and integrated marine geospatial information, its challenges and opportunities. The value proposition for developing, managing and sustaining nationally integrated geospatial information management arrangement that includes the marine domain is extensive. It includes everything from transportation and shipping to basic human needs like clean drinking water. The value of the Integrated Geospatial Information Framework (IGIF) and inclusion of the marine domain in any national integrated geospatial information program include: nautical charting, safety of navigation and transportation; maritime resource planning and management; maritime limits and boundaries; subsistence and food security; disaster risk management and emergency response; integrated marine cadastre; sustainable energy; environmental management and protection; climate change; and science, research and knowledge. It is important to promote and to advise on practical considerations regarding the inclusion of the marine domain across an entire geospatial ecosystem.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Introducing to the theory and practice of temporal disaggregation, balancing and statistical reconciliation of systems of time series.
Target Audience: Statistical officers in charge to regular production of National Accounts quarterly series. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 31 Aug 2021 )
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Organizer(s): Eurostat EFTA
Description: To provide the participants with basic understanding on how to produce statistics with the use of geocoded statistical registers and map databases. Emphasis is on the use of Vector data and Vector tools, also getting to know and use the GIS-tool ArcGIS Pro.
Target Audience: Target group are persons with little to some practical experience in GIS/ GI/ cartography, which want to make use of GIS in producing statistics or analysis, using the GIS-tool ArcGIS Pro. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Organizer(s): UNSD Global Partnership for Sustainable Development Data
Description: During this Global Network Webinar Vibeke Oestreich Nielsen (UNSD), Karen Bett (Global Partnership for Sustainable Development Data), Omurbek Ibraev (National Statistical Committee of the Kyrgyz Republic), and Federico Segui (National Statistical Institute of Uruguay) presented on the Collaborative on Use of Administrative Data for Statistics: a group focused on practical experience sharing and learning. Administrative data collected by governments and service providers in the course of their day-to-day business is an increasingly important source for the production of official statistics. There is an urgent need to strengthen the capacity of national statistical systems to leverage the use of administrative data for statistical purposes, in order to fill gaps in the data available to policy and decision makers to monitor progress and implement the 2030 Agenda, and to address to emerging challenges such as the COVID-19 pandemic. Responding to this challenge, the United Nations Statistics Division and the Global Partnership for Sustainable Development Data have jointly convened a multi-stakeholder collaborative of countries and regional and international agencies, aimed to strengthen the capacity of countries to use administrative data sources for statistical purposes.
Description: This half-day one-week virtual course will be presented by the International Monetary Fund's Statistics Department. The course will be based on the System of National Accounts 2008 Manual (2008 SNA). The course will cover the following topics: national accounts concepts, methods, and framework; estimating Gross Domestic Product using the expenditure and production approach; interpretation of National Accounts Statistics; and price and volume measures. The course will feature interactive lectures and hands-on exercises that enable participants to operationalize what they learn. The main lectures and workshops include: (i) Overview of the System of National Accounts, (ii) Production accounts: measurement of output; intermediate consumption, and value added (gross domestic product (GDP), (iii) Gross Domestic Product by Expenditure, (iv) The sequence of accounts from the production account to balance sheets and (v) Preparation of GDP volume measures: double deflation; and volume extrapolation;
Description: The FAO World Programme for the Census of Agriculture provides support and guidance to countries to carry out national agricultural censuses.
Source: World Bank (Data extracted on: 26 Oct 2021 )
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Organizer(s): World Bank KDI School of Public Policy and Management Korea
Description: The World Bank’s anticorruption program has been helping to strengthen transparency and make better use of the growing availability of data to develop a stronger evidence base for anticorruption. The goal is to bring high-definition transparency to policy reform with insights that reflect the nature of corruption problems and their impacts across different levels of government, sectors, and contexts. A Symposium on Data Analytics and Anticorruption will be co-hosted by the World Bank and the Korea Development Institute School of Public Policy and Management on October 25-28. The four-day event was launched last year with a Call for Papers, 26 of which were selected for the Symposium. The papers cover four thematic areas: New data-driven approaches to detecting and measuring corruption; Using new data sources and methods to measure the impacts of corruption; Using open data to assess the effectiveness of anticorruption tools, policies, and interventions; Contributing new knowledge on data access, quality, and privacy issues. The Symposium will bring together researchers working to advance anticorruption data analytics to help inform more effective policies and actions by governments for greater accountability in public administration.
2021 ICP for Asia and the Pacific - Sixth Regional Online Workshop: Technical Evaluation and Review of Revised Q1 and Q2 2021 Household Consumption Prices
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat
Description: The objective of this course is to introduce participants to the practice of output checking for confidentiality risks. The course focuses on output that is generated by researchers from official microdata. In most cases researchers will have had access to microdata through the Research Data Centre of the data producer to produce the output. The participants will be invited to bring their own case studies for discussion in the training course.
Target Audience: Staff members dealing with statistical confidentiality, especially staff in Research Data Centres or Safe Centres. The course is intended for staff checking output that was created by external researchers or output from varying statistical analyses created by colleagues in statistical offices. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: This Course aims at: * defining the reference framework of data generated by smart devices, technologies, networks and their relations with official statistics, also comparing NSIs’ different situations (different level of integration, etc.); * introducing the main concepts, frameworks and artefacts to carry out Enterprise Architecture for official statistics; * focussing on the Business Architecture Model/Activity model within NSIs, orientating it to ongoing modernisation changes and related mainly to innovative data sources, Big Data, new data; * explaining how to apply and map GAMSO to new business models for official statistics, innovative sources and Big Data; * explaining how to map GSBPM to the statistical processes related to innovative data sources; * providing an overview of the main statistical and technical guidelines, best practices, and standards as pre-requisites for the implementation of EA and BREAL; * focussing on the context of Big data REference Architecture and Layers – BREAL; * providing theoretical training to develop BREAL; * promoting group discussions on topics such as setting up a capability assessment and roadmaps for acquiring and benefiting from ESS shared investments.
Target Audience: Business architects; IT managers responsible for the design of new processes and innovative IT systems; Statistical survey managers; Statisticians and Technicians involved in statistical production processes. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The African Centre for Statistics (ACS) of the United Nations Economic Commission for Africa (ECA), in collaboration with SurveyCTO and other development partners will organize a follow-up e-training regional webinar on the use of telephone surveys to collect Consumer Price Index (CPI) data from 20 to 21 October 2021. The e-training regional webinar on the use of telephone surveys to collect CPI data is a follow-up to the reginal seminar on data collection for the compilation of CPI during COVID-19 which was virtually organized during the weeks of 18 to 28 May 2020 and the regional e-training webinar on the application of alternative methods for price data collection to compile CPI which was held from 25 January to 4 February 2021. The main objectives of the upcoming e-training webinar are to provide participants with a brief practical overview of the SurveyCTO software package, to develop the capacity of member States on the use of telephone surveys / Computer Assisted Telephone Interview (CATI) in the collection of price statistics, and to identify pilot countries which are currently interested in adopting telephone surveys / CATI in price data collection. Staff who work in the area of price and other related statistics of the national statistical offices of member States, as well as sub-regional and regional organizations will participate in the e-training webinar.
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: On 20 October, Eurostat organised an open day in the form of a webinar to celebrate the European Statistics Day. After an overview of the official statistics published by Eurostat, you will find out more about recent initiatives: European Statistical Recovery dashboard, which tracks the economic and social recovery from the COVID-19 pandemic innovation in official statistics new data collection from collaborative economy platforms
Organizer(s): BIS ECB Bank of Italy Reserve Bank South Africa
Description: Organised by the IFC at the BIS with the active support of the Bank of Italy, the European Central Bank and the South African Reserve Bank, this workshop will bring together central banks, international organisations, national statistical offices and other interested stakeholders to share knowledge on emerging trends in data science, data engineering and information technologies with a broad audience of practitioners and technicians. We will look in depth at the state of adoption of data analytics and business intelligence techniques along with data transformation and big data ecosystems in participants’ organisations. This event is intended to foster exchange, collaboration and understanding on the related interdisciplinary practices, use cases, and technologies and will also cover important topics such as data governance and data protection. The first part of the workshop will be hosted by the Bank of Italy (BoI) on 19-22 October 2021 and the second part by the Bank for International Settlements (BIS) on 14-17 February 2022. The first part would focus on “Data Science in Central Banking: Machine learning applications” whereas the second part would be on “Data Science in Central Banking: Applications and tools”.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The aim of the course is to: * provide an overview of the functioning of ESS, including ESS procedures and concepts; * create understanding of the requirements originating from the EU cooperation; * introduce in the relations of the European Statistical System with other EU institutions or fora, the legal basis of the ESS, the decision-making process, the cooperation among the different stakeholders, etc.; * prepare participants and enable them to tackle the day-to-day challenges of the ESS system for the purpose of strengthening efforts and thereby increasing their involvement; * train the participants in negotiating with colleagues from other European countries, including negotiation and presentation skills, effective oral communication and active participation in an ESS meeting;
Target Audience: Staff members wishing to understand the framework and functioning of the European Statistical System (ESS) as well as staff who participate or will be participating in the meetings of committees, European Union working groups and task forces. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: To provide participants engaged in statistical, technical and other analytical training, presentations, consulting and facilitating group discussions with enhanced levels of competence and the expertise required to be effective in understanding and managing groups and individuals. It provides excellent insights into ‘statistical consulting’ which is frequently part of the statistical trainers’ role.
Target Audience: All those who are engaged in providing statistical training, giving statistical presentations, providing statistical consulting and facilitating group sessions with statistical and non-statistical audiences. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: During this Global Network Webinar we had with us Giorgia Lupi from the design studio Pentagram, New York who gave her illustrated talk “Speak Data!”. Today data is everywhere. But what does data really mean, and how can we extract real value from it in our daily lives? In this illustrated talk, information designer and Pentagram partner Giorgia Lupi discussed our new data reality and “data humanism”, her unique philosophy for understanding and working with data. Surveying her diverse work over the last decade, Giorgia introduced her distinctive approach to data visualization by looking at the human side of data and offered a look into the far-reaching applications of her work in data and design, from corporate to institutional to personal.
Description: SESRIC will be participating in the 7th World Investment Forum (WIF) with the theme “Investing in Sustainable Development” organised virtually by the United Nations Conference on Trade and Development (UNCTAD) on 18-22 October 2021. During the 7th WIF, SESRIC will also be making a presentation at the Symposium on Foreign Direct Investment Statistics and Development Impact on 19 October 2021 to share the results of the Webinar on Foreign Direct Investment (FDI) Statistics in OIC Countries jointly organised by SESRIC and UNCTAD on 28 June 2021. Among others, the Symposium will focus on the issues of FDI data compilation and analysis and its role in the formulation of FDI policies from a development perspective, and discuss ways and means to answer the specific needs of developing countries in data compilation and analysis to enable them to make informed policy decisions in the area of FDI. The UNCTAD World Investment Forum is the pre-eminent global platform for investment and development. The Forum devises strategies and solutions for global investment and development challenges. It facilitates multi-stakeholder collective action to stimulate investment in development. Previous editions took place in Accra (2008), Xiamen (2010), Doha (2012), Geneva (2014), Nairobi (2016), and Geneva (2018). For more information, please visit: https://worldinvestmentforum.unctad.org/
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): JICA ESCAP SIAP
Description: To strengthen capacity of entities belonging to national statistical systems by providing training to statistical staff that increases their knowledge and develops their skills to produce dataapply statistical methods to produce official statistics and indicators and interpret and use these for monitoring progress in achieving the SDGs
Title in Arabic: الحوكمة ضمن الرصد والإبلاغ عن مؤشرات أهداف التنمية المستدامة
Organizer(s): AITRS
Description: بعد ما يربو عن عشرين عاما من الجهود التي بُذلت من أجل تبني المجتمع الإحصائي الرسمي لمؤشرات الحوكمة واعتبارها إحدى المجالات التي يجب العمل عليها إحصائيا، وتحديدا منذ مؤتمر الإحصاء وحقوق الإنسان الذي تم عقده في مونتريو عام 2000، قامت الأمم المتحدة بتبني الهدف 16 حول السلام والعدل والمؤسسات القوية ضمن أجندة التنمية المستدامة 2030 التي تغطي مجموعة واسعة من الأهداف الاجتماعية والاقتصادية والبيئية. وأشارت دراسة استقصائية للأمم المتحدة إلى أن الحماية من الجريمة والعنف، ووجود حكومات نزيهة ومستجيبة تحتل الصدارة بين أولى أولويات التنمية. حيث أصبح التعاطي مع السلام والعدالة والحوكمة الفعالة باعتبارها ليست مُدخلات أو عوامل تساعد في تحقيق التنمية وإنما كنتائج تنموية في حد ذاته وتسعى أهداف التنمية المستدامة إلى الحد بشكل كبير من جميع أشكال العنف، والعمل مع الحكومات والمجتمعات المحلية لإيجاد حلول دائمة للصراع وانعدام الأمن. ويُعد تعزيز سيادة القانون وتعزيز حقوق الإنسان أمراً أساسياً في هذه العملية، ويشمل كذلك تعزيز مشاركة البلدان النامية في مؤسسات الحكم العالمية.
Description: SESRIC will organise a Virtual Training Workshop on ‘Compilation and Analysis of National Food Balance Sheets in OIC Countries’ in collaboration with Food and Agriculture Organization of the United Nations (FAO) and Standing Committee for Economic and Commercial Cooperation of the Organisation of Islamic Cooperation (COMCEC) on 18-20 October 2021. The main aim of the training workshop is to train the official statisticians of OIC countries in developing and preparing the annual food balance sheets of their countries which provide comprehensive information on patterns, levels and trends of national diets, and play an important role for the analysis of the food and nutrition situation and for policymaking to address it. Official statisticians working in the agricultural statistics units of the National Statistical Offices and Ministries of Agriculture of the OIC countries will participate in the statistical training workshop. Competent experts from the Crops, Livestock & Food Statistics Section under Statistics Division (ESS) of FAO will facilitate the three-day virtual training workshop. The workshop will include practical exercises and cover the following topics: Introduction to Supply Utilization Accounts (SUA)/Food Balance Sheet (FBS) Data for FBS Compilation Overview Data Assessment and Other Preliminary Considerations FBS Methodological Framework FBS Components Country Presentations: Experiences in the FBS compilation and main challenges New FBS Country Compilation Tool (Using Data on Turkey) Data Entry and Practical Showcase on the New FBS Country Compilation Tool The Virtual Training Workshop is planned within the general framework of the project of SESRIC titled “Enhancing Food Security through National Food Balance Sheets” which was among the successful projects selected for co-funding in the 2021 implementation period of the COMCEC Project Funding. The Workshop will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents Concept Note (English) (Arabic) (French) Training Materials and Presentations (English)
Description: About the session This Stats Café will launch the recently completed ESCAP guide on how to map a population’s exposure to flood hazard. The Café is organized in collaboration with APDIM and IDD who will participate as session moderators and discussants. The session will include a presentation from a National Statistics Office on their own disaster statistics work and discuss the functionality of the tool in that regard. This Stats Café will highlight how geospatial data and techniques can be used by National Statistics Offices to produce maps, visualizations and statistical tables in their disaster statistics work. Further, the session will discuss possible uses of the tool for phases of the Disaster Risk Management Cycle and reporting to and monitoring of the Sendai Monitoring Framework and the 2030 Agenda for Sustainable Development. The Session will highlight the following: ESCAP-SD’s recently completed tool “Mapping Population Exposure to Hazard”. This guide is aimed at getting users familiar with downloading and using geospatial data and programs to produce maps which show the percentage of the population exposed to flood hazard. The ESCAP-SD presentation will underscore how geospatial techniques included in the tool can be applied to generate information that would be helpful to National Statistical Offices (NSOs) in their Disaster Statistics work Discussion from Bangladesh NSO on the usefulness of the tool and how similar GIS work and methodology can be applied to the Disaster Statistics Work the institution is doing Discussion from ESCAP-IDD on the functionality of the tool and geospatial techniques regarding Disaster Risk Management and reporting for SDGs. , Stats Café Home: Upcoming events Concluded events in 2021 Concluded events in 2020
Description: At the event, key frontline stakeholders will highlight FAO’s and partner’s efforts in providing Disaster Risk Reduction (DRR) related capacity development, including DRR-related statistical capacity to developing countries.
Description: Eurostat together with the Scanner Data Task Team of the UN Committee of Experts on Big Data and Data Science for Official Statistics will organize a workshop on scanner data and web scraping on 12-14 October 2021. The objectives of the workshop are to exchange on practical experiences related to the use of new data sources in consumer price statistics, and to present and discuss some of the work conducted by the Task Team and by the European Statistical System.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide participants with a specific knowledge of the features recently included within JDEMETRA+ and run the tool within the R environment; * To train the participants to use JDEMETRA+ for purposes different from seasonal adjustment, such as estimation of missing values temporal disaggregation, benchmarking, forecasting and analysis of revisions; * To prepare and to motivate the participants to become integral part of the extended network in charge of testing (software releases), maintaining (fixing bugs) and extending (new plug-ins) the tool.
Target Audience: Advanced users of seasonal adjustment methods involved in regular/massive data production and/or developers involved in the integration of SA methods in their IT environment wishing to enhance their knowledge of the JDEMETRA+ tool and/or using or potentially developing relative plug-ins. Ideal participants are either young statisticians with some interest in IT or young IT specialist with some interest in statistics. People currently using TRAMO/SEATS and/or X12 family product and/or old version of DEMETRA/JDEMETRA+ family products aiming at implementing the latest JDEMETRA+ version. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Report of the Webinars (PDF) Concept note (PDF) Background The System of Environmental-Economic Accounting (SEEA) is a statistical framework that brings together environmental and economic information in a coherent and consistent manner. It is an international standard containing agreed concepts, definitions and classifications. The SEEA is comprised of two foundational and complementary statistical standards, the SEEA Central Framework and the SEEA Ecosystem Accounting. The SEEA Central Framework (SEEA CF) is a multipurpose conceptual framework that describes the flows and stocks and changes in stocks of environmental assets. It brings together, in a single measurement system, information on water, minerals, energy, timber, fish, soil and land, pollution and waste, production, consumption and accumulation. The SEEA Ecosystem Accounting (SEEA EA) is a spatially-based, integrated statistical framework for organizing biophysical information about ecosystems, measuring ecosystem services, tracking changes in ecosystem extent and condition, valuing ecosystem services and assets and linking this information to measures of economic and human activity. In this series of webinars, we will focus on 2 SEEA topics that are of importance to the countries of Central Asia: water accounts and ecosystem accounts. Доклад по серии вебинаров (PDF) Концептуальная записка (PDF) Справочная информация Система эколого-экономического учета (СЭЭУ) - это статистическая основа, объединяющая воедино экологическую и экономическую информацию согласованным и последовательным образом. Это международный стандарт, содержащий согласованные концепции, определения и классификации. СЭЭУ состоит из двух основополагающих и дополнительных статистических стандартов: СЭЭУ — центральной рамочной программы и СЭЭУ — экосистемного учета. СЭЭУ — центральная рамочная программа представляет собой многоцелевую концептуальную основу, описывающую потоки и запасы, а также изменения в запасах экологических активов. Она объединяет информацию о воде, минералах, энергии, древесине, рыбе, почве и земле, загрязнениях и отходах, производстве, потреблении и накоплении в единую систему измерения. СЭЭУ — экосистемный учет - это пространственно-ориентированная комплексная статистическая основа для организации биофизической информации об экосистемах, для измерения экосистемных услуг, отслеживания изменений, касающихся масштаба и состояния экосистем, оценки экосистемных услуг и активов и привязки этой информации к экономическим показателям и показателям жизнедеятельности человека. В этой серии вебинаров мы сосредоточимся на двух темах СЭЭУ, которые важны для стран Центральной Азии: счета водных ресурсов и счета экосистем.
Title in Arabic: استخدام السجلات الادارية كمصادر للبيانات الخاصة بالقطاع الزراعي
Organizer(s): AITRS
Description: تعتبر السجلات الإدارية أحد مصادر البيانات المعتمدة في التعداد الزراعي او المسوح الزراعية إذا كانت ذات جودة عالية ومكتملة من ناحية التغطية والشمول على مستوى المنطقة الجغرافية او على مستوى المحاصيل والحيازة. ويذهب كثير من الاحصائيين الى ان السجلات الإدارية غير مناسبة في حالات كثيرة بسبب كونها غير مهيأة للاحتياجات الإحصائية حيث من المحتمل ان تكون المعطيات المتوفرة لا يمكن استخدامها احصائيا. وفي حال اتخاذ القرار باستخدام المصادر الإدارية عند تنفيذ الانشطة الإحصائية الزراعية يجب اولا تقييم جودتها من حيث الملائمة والدقة والموثوقية ومستوى الاكتمال والاتساق وقابلية المقارنة والتوقيت المناسب والاتاحة. يطرح استخدام السجلات الإدارية كمصدر للبيانات الزراعية بعض الإشكاليات الفنية المرتبطة أساسا بالجودة والموثوقية باعتبار ان المعلومات لا تجمع لغايات إحصائية في الأساس وتستهدف جمهورا محدداً قصد استغلالها في اعداد تقارير النشاط او متابعة كيفية إنجازه. الا ان استعمال المصادر الإدارية في العمل الاحصائي قد تطور بشكل سريع في اتجاه تحسين جودتها واستجابتها للمعايير الإحصائية المتعارف عليها خاصة مع تطور ادماج وسائل الاتصال الحديثة في كامل سلسلة العمل الاحصائي. لذا، يعقد المعهد العربي للتدريب والبحوث الإحصائية والمنظمة العربية للتنمية الزراعية هذه الورشة للتعرف على الإشكاليات المطروحة من خلال استخدام السجلات الإدارية في الإحصاءات الزراعية، ومناقشة أسس وطبيعة هذه السجلات المستخدمة في المؤسسات المعنية بهدف حسن تطبيقها.
Description: During this Global Network Webinar, Fionntan O’ Donnell from Open Data Institute and Andrew Dudfield from Full Fact, presented how changes in the publishing of national statistics can support the work of fact checkers around the world. Data publishing by national statistical offices affects the fact checking process in many ways. From what fact checkers choose to verify, to how they find data to the human support they get. Better statistical data means easier and faster fact checking, which leads to more fact checks being published and misinformation being addressed faster.
Description: This one-week customized training and technical assistance will be presented by an expert from the International Monetary Fund's Statistics Department. The course will be based on the System of National Accounts 2008 (SNA 2008) and the Quarterly National Accounts Manual, 2017. The course will cover the following topics: The scope, role and strategic issues of quarterly national accounts. Data sources for the production and expenditure approach. Strategies for selecting quarterly indicators. Establishing a quarterly processing system. Benchmarking techniques and software;. Seasonal adjustment. Price and volume measures. Chain-linking quarterly national accounts. Inventory valuation methods. Revision policy. Economic analysis of quarterly national accounts. The course will feature interactive lectures and hands-on exercises that will enable participants to operationalize what they learn.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * to provide the participants with basic knowledge of using administrative registers to produce statistics; * to provide skills to build and update statistical registers by using various administrative sources; * to provide best practices in combining statistical surveys and register data; * to provide best practices on moving from a survey-based system to a register-based system (illustrated by successful experiences in several Member States); * to provide best practices on reducing statistical burden by using statistical registers.
Target Audience: Methodologists and statisticians who are involved in the production of statistics potentially covered by different administrative registers. The course is targeted to any NSI staff wishing to understand the possible ways of producing official statistics based upon statistical registers. Horizontal knowledge of different statistical areas and production steps in official statistics is welcome. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: The multi-stakeholder nature of the SDG monitoring process has further emphasized the need for National Statistical Offices to communicate more with the different users of their data in order to understand user needs and deliver products that meet them. The UNSD-FCDO project on SDG monitoring worked with the National Statistical Offices of 20 project countries to develop their capacity to widely disseminate their SDG data in an accessible and engaging manner, including through online national data platforms, in order to inform and engage with a wide range of users. This session will showcase some of the many achievements of the countries with regard to user engagement, metadata standardization and the development of data visualization platforms. It will also highlight how they have continued to implement national SDG monitoring during the COVID-19 pandemic, showing a strong, ongoing commitment to providing data and metadata on the SDGs in spite of the significant challenges.
Source: World Bank (Data extracted on: 30 Sep 2021 )
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Organizer(s): World Bank
Description: With this course, explore the 2021 World Development Report (WDR) and how data can be used for advancing development outcomes. Learn about the principles of a new social contract for data and data governance needed to transform lives for the poor.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will enhance participants' methodological and technical knowledge of Quality reporting in the European Statistical System (ESS). Participants will understand and have practical experience on how to prepare detailed quality reports for the different types of statistical processes according to the Single Integrated Metadata Structure (SIMS) V.2.0 and its derived structures ESMS (Euro-SDMX Metadata Structure) and ESQRS (ESS Standard for Quality Report Structure), including how to calculate ESS Quality and Performance indicators. The ESS Metadata Handler, the web application used by Eurostat to collect metadata and quality report from National Statistical Institutes and Other National Authorities producing European statistics, will be presented.
Target Audience: Staff of National Statistical Institutes (NSIs) and Other National Authorities (ONAs) producing Official Statistics directly involved in the compilation of quality reports or working in quality management and/or quality reporting coordination units. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): Qatar Computing Research Institute MIT United States Max Planck Institute for Demographic Research Germany
Description: Billions of people use social media platforms. An important aspect that social media provides is the real time access to digital trace data. This offers complementary strengths to existing, expensive and typically slow paced data from surveys (e.g. migration statistics or disaster impact assessment). In particular the need for near real-time data analysis that does not rely on face-to-face interactions has been made clear by the current pandemic. UN Global Pulse will speak at the event about the innovative use…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Organized by the National Institute of Statistics and Geography (INEGI)of Mexico and the Statistics Division of ECLAC. This workshop is carried out within the framework of the biennial program of activities of the Environmental Statistics Working Group.
Title in Spanish: TALLER VIRTUAL - OJOS EN LA NATURALEZA: OBSERVACIONES DE LA TIERRA PARA EL MEDIO AMBIENTE
Organizer(s): UNKNOWN AI Generated
Description: Los indicadores ambientales se utilizan cada vez más en contextos de políticas y gestión, pero existen serias deficiencias de datos para muchos parámetros de interés para la toma de decisiones ambientales. Con su cobertura mundial y la amplia gama de herramientas disponibles, las Observaciones de la Tierra (OT) tienen el potencial de llenar varias de estas brechas; este recurso proporciona a los ecologistas y onservacionistas una nueva herramienta dinámica que permite desde un conteo más preciso de las poblaciones de vida silvestre hasta la detección rápida de deforestación, minería ilegal y otros cambios en el paisaje. Sin embargo, su contribución potencial al desarrollo de indicadores ha permanecido en gran parte sin probar. La comunidad estadística (Oficinas Nacionales de Estadísticas y los Institutos Geográficos o Medioambientales) enfrenta una demanda de datos creciente en la que las OT podrían contribuir de forma importante. No obstante, siguen existiendo obstáculos importantes para el uso de OT satelitales para el desarrollo de indicadores. Estos se relacionan con las dificultades para acceder y utilizar los datos, las diferencias entre lo que los satélites miden realmente y los parámetros de interés para los tomadores de decisiones, la colaboración limitada entre los actores interesados, cuestiones técnicas como la cobertura de nubes que interfiere con la recopilación de datos satelitales y la falta de recursos técnicos y financieros. Además de estas barreras, están las brechas en la percepción de “datos listos para usarse” y los niveles permisibles de incertidumbre entre aquellos en la comunidad de Percepción Remota, que tienen la experiencia técnica para procesar los datos, y aquellos en la comunidad de políticas, que podrían beneficiarse de los indicadores. Es evidente que los esfuerzos ordenados para fortalecer estos aspectos en la región favorecerán la producción de información oportuna y relevante. El objetivo de este taller, organizado por el Instituto Nacional de Estadísticas y Geografía (INEGI) de México dentro del marco del programa bienal de actividades del Grupo de Trabajo de Estadísticas Ambientales, es compartir datos, experiencias e iniciativas que permitan explorar la viabilidad de utilizar las OT satelitales para contribuir y mejorar las actividades de toma de decisiones por parte de las agencias oficiales a través de indicadores ambientales rigurosos.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing an advanced knowledge of the elaboration and use of statistics on: trade in goods, services, financial flows, trade in value added and IIP statistics.
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: To learn state of the art techniques in survey sampling.
Target Audience: NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Data and official statistics have become an integral part of policy research and evidence-based decision making, and even the daily life of citizens. The increasing number of actors with diverse interests producing data and statistics has resulted in a data-rich yet complex world. In such an environment, the ability to comprehend, interpret and critically evaluate existing data and statistics paves the way for their proper and effective use. This highlights the importance of enhancing data and statistical literacy among users, including policymakers, the research community, media, citizens, etc. This Stats Café aimed to: Raise awareness on the importance of data and statistical literacy to enhance effective use of official data and statistics for policy-making and the role of national statistical offices, as well as of national statistical training institutes in enhancing such literacy of various user groups; Share experiences from countries in the Asia-Pacific region on implementing specific approaches and initiatives to enhance data and statistical literacy among specific user groups. , Stats Café Home: Upcoming events Concluded events
Source: World Bank (Data extracted on: 30 Sep 2021 )
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Organizer(s): World Bank
Description: This course is based on the World Bank’s “Strengthening Geospatial Information Management: Using the Integrated Geospatial Information Framework (IGIF)”. This course builds on work to e-package global learning and innovation for leveraging sustainable development and contribute to socio-economic improvements. It will include the efforts of governments, the private sector and academia to address: Governance, Technology, People and Benefits.
Source: World Bank (Data extracted on: 30 Sep 2021 )
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Organizer(s): World Bank
Description: This course is based on the World Bank’s “Strengthening Geospatial Information Management: Using the Integrated Geospatial Information Framework”. This course introduces the Integrated Geospatial Information Framework (IGIF), which guides countries to strengthen their arrangements in geospatial information management.
Source: World Bank (Data extracted on: 29 Sep 2021 )
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Organizer(s): World Bank
Description: The Worldwide Bureaucracy Indicators (WWBI) is a cross-national dataset on public sector employment and wages. The indicators are derived using a consistent methodology from micro-data based on nationally representative labor force and household surveys, and administrative data. WWBI is the most comprehensive data set of its kind with 192 indicators from 200 countries. Its is a product of the Bureaucracy Lab, a collaboration between the Governance Global Practice and the Development Impact Evaluation (DIME) Department in the Research Group.
Description: The COVID–19 pandemic has exposed long-standing data governance issues such as intellectual property rights, data sharing, reuse and storage. Globally, persistent data gaps and fragmented approaches to governing health data in different contexts are a major roadblock to using data as a Global Public Good. Health data is a strategic asset that requires global cooperation with clear direction in an evolving, fragmented global landscape. This is highlighted in the UN Secretary General’s Data Strategy, World Bank’s 2021 Development Report, 52nd UN Economic and Social Council Statistical Commission and OECD’s Partnership in Statistics (PARIS21). In response, WHO has convened a global summit on health data governance over two half-days. The first summit on 30 June brought together WHO, Member States, partners and the general public to underscore the need for health data as a global public good, the importance of adopting common data principles, and the urgency to institutionalize robust data governance mechanisms across all sectors. This resulted in a draft summit statement which was made available for public comment as well as a Summit Report outlining key takeaways. The second summit on 30 September will present the final summit statement and further advance this dialogue with a focus on three technical tracks: 1. Research data sharing 2. Public health and disease surveillance 3. Data sharing policies: Legal and ethical considerations
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: A new report — Protecting Natural Capital in East Africa: The Cost of Inaction — presents one of the most comprehensive assessments to date of the economic value of East Africa’s natural resources. This includes its soils, water, forests, savannas, plains, wetlands, and wildlife — all of which are fundamental to the region’s economic and human well-being. The report demonstrates how failing to protect this natural capital in four key landscapes will cost the region more than $10.9 billion per year over the next few decades. It outlines how the region’s most important natural assets cross national boundaries and makes an urgent plea to Partner States to increase collaboration on conservation and sustainable development. The study was prepared with support from the USAID Kenya and East Africa Mission (USAID/KEA) by Environmental Incentives, LLC and Anchor Environmental Consultants (Pty) Ltd. in partnership with the East African Community (EAC) as a part of the Natural Capital in East Africa Program. Together, they solicited input from national policymakers in all six countries, including Burundi, Kenya, Rwanda, South Sudan, Tanzania, and Uganda, as well as other public and private sector leaders at the local, national, and regional levels.
6th AMDN Webinar: Migration and Gender: Migration data for the protection of migrant women
30 Sep 2021 – 30 Sep 2021
Source: IOM GMDAC (Data extracted on: 29 Sep 2021 )
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Organizer(s): IOM GMDAC STATAFRIC Statistics Sweden
Description: Women account for approximately half of the estimated 270 million international migrants worldwide in 2019. Migrant women contribute massively to the overall outflow of remittances sent by immigrants from their destination countries to their countries of origin. At the same time, women earn less, have harsher working conditions and are much more vulnerable to trafficking for sexual exploitation. In spite of the needs, there are significant challenges concerning the collection, analysis and use of gender responsive data, reflecting differences and inequalities between women and men. Such data is necessary to promote a deepened understanding of migration trends, gaps, challenges and inequalities and to strengthen policies that are gender responsive. The webinar addresses the availability and use of disaggregated, gender responsive migration statistics and give examples of how data from national surveys have been utilized to highlight gender dimensions and the needs and vulnerability of female migrants. The session will include sharing of experiences from experts working in NSOs in Africa as well as the perspective from UN Women.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This 50x2030 Seminar will explore how agricultural data can inform transformational food systems in Africa to make them more equitable, resilient, nutritious, productive, climate smart, inclusive and safe.
Description: The UNSD-FCDO project on SDG monitoring was recently extended for one year, providing an opportunity to build upon and consolidate the successes of the last few years. The extension introduces a number of new areas of work, with a significant focus on further increasing the availability of disaggregated and inclusive SDG data and metadata, piloting new approaches and activities in a small set of countries, as part of a new initiative called Data For Now, which can then be hopefully rolled out more widely in future. This webinar introduced the Data For Now initiative to project countries, highlighting the achievements of some of the trailblazer countries.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Introducing the participants to the Python language and ecosystem; * Make the participants able to read and write basic Python programs for common data processing tasks (data analysis, exploration and visualization).
Target Audience: Official statisticians (including managers) involved in Big Data and Data Science activities having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in Big Data and Data Science activities, need basic knowledge on the use of the Python language. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Population and housing censuses provide fundamental information for development planning including the 2030 Agenda for Sustainable Development, on the size, growth, distribution, geographical location and characteristics of the population. Censuses also provide data on various statistical areas related to population and housing, disaggregated by small geographic areas, population groups, minorities, and various demographic and social characteristics such as gender, age, education, migration, labor force, and people with disabilities. In recent decades, most countries have conducted at least one population census. In the Arab region, during the past six years, Egypt, the Emirates of Sharjah and Ajman in the UAE, Jordan and the State of Palestine have conducted a successful census using modern technology, whereas other countries such as Algeria, Iraq and Sudan are undertaking activities in planning for the coming census. Noting that the Gulf Cooperation Council countries are planning to implement register-based censuses in 2020 census round. The implementation of censuses in other countries such as Yemen, Libya, Somalia, Lebanon and Syria remains subject to security and political conditions. Despite the outbreak of the Covid-19 pandemic, Oman, Bahrain and Qatar have carried out register-based censuses, and Oman Census 2020 is the first census that is fully based on registers, noting that Bahrain conducted a census in the 2010 round that was based partly on registers and partly on the traditional methodology (face-to-face) and the use of self-enumeration using the Internet and the phone, while other countries postponed their censuses for the coming years, with the continued spread of the Covid-19 pandemic. To review the progress made and promote the undertaking of censuses being planned or hindered, the Economic and Social Commission for Western Asia (ESCWA), in cooperation with the Regional Office of the United Nations Population Fund (UNFPA), the Gulf Cooperation Council Statistical Centre (GCC-Stat), and the Arab Institute for Training and Research in Statistic (AITRS), is organizing a “Regional Workshop on the 2020 round of Population and Housing Census: Monitoring progress and the way forward” The workshop aims to review the population and housing censuses that have been implemented and the progress made in countries planning their upcoming censuses, as well as to benefit from regional experiences and good practices in undertaking 2020 census round and the importance of regional cooperation; and to discuss ways to expedite the undertaking of 2020 round of censuses in light of the COVID-19 pandemic. The workshop will also discuss obstacles in undertaking censuses in some countries, including scenarios for their implementation and ways of providing technical support and mobilizing financial resources (if possible). All related presentations can be found on the Arabic link of the webpage.
Title in Arabic: رصد التقدم المحرز وسبل المضي قدما في جولة تعدادات السكان والمساكن 2020
Organizer(s): ESCWA UNFPA AITRS GCC Stat
Description: توفر تعدادات السكان والمساكن معلومات أساسية للتخطيط التنموي، بما في ذلك خطة التنمية المستدامة لعام 2030، حيث تتضمن بيانات عن حجم السكان ونموهم وتوزعهم وموقعهم الجغرافي والمكاني وخصائصهم المختلفة وغيرها. كما توفر التعدادات بيانات عن مختلف المجالات الإحصائية المتصلة بالسكان والإسكان، مصنّفة حسب المناطق الجغرافية الصغيرة والتجمعات السكانية والأقليات ومختلف الخصائص السكانية والاجتماعية مثل الجنس والعمر والتعليم والهجرة والقوى العاملة والأشخاص ذوي الإعاقات. وخلال العقود الأخيرة، أجرت غالبية البلدان تعداداً سكانياً واحداً على الأقل.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat
Description: Good understanding of the ESSPROS system and the knowledge needed to deliver ESSPROS data in line with the methodological guidelines and regulations.
Target Audience: Data providers in national administrations with limited or no prior experience or knowledge of ESSPROS (European System of integrated Social Protection Statistics). ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): World Bank Global Partnership for Sustainable Development Data
Description: This webinar builds on the World Development Report and aims to deepen our understanding of how to promote multi-stakeholder governance based on practical experience. As the digital economy has expanded globally, an increasingly complex, geographically diverse group of stakeholders has become active in the data ecosystem. However, traditional concepts of governance based on national sovereignty or strict multilateralism do not take into account these dynamics. At the same time, various participatory or deliberative approaches to governing data are being tested around the world to facilitate greater inclusion of the affected communities and potential users of the data. Users may be public or private entities but they may also be the affected communities themselves.The World Development Report, Data for Better Lives, argues that a multi-stakeholder approach to data governance is better equipped to govern the complex data ecosystem in a transparent, inclusive, and distributed way, which reflects the interests of all key stakeholders. This approach is aligned conceptually with the successful application of multi-stakeholder processes designed to govern the internet. And it is an essential component of the “trust framework” that strengthens the social contract around data use.This webinar will discuss successful examples of multistakeholder governance models and the implications of sustaining such models. The discussion builds on the World Development Report and aims to deepen our understanding of how to promote multi-stakeholder governance based on practical experience. It will feed into the Global Partnership for Sustainable Development Data’s Data Values Project which is a global policy consultation bringing together diverse perspectives, research and experience on major data challenges leading to a common agenda for collective advocacy.Speakers include:- Natalie Banner, Understanding Patient Data Lead at the Wellcome Trust- Mariana Varese, Director of Amazonia- Stefaan Verhulst, Co-founder and Chief Research and Development Officer at the GovLab- More speakers to be announced soon. Time Sep 28, 2021 09:00 AM in Eastern Time (US and Canada)
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: During this Global Network Webinar Gabriel Gamez, Inter-Regional Adviser at UNSD, presented an upcoming capacity development project to Improve the Resilience and Agility of National Statistical Systems to meet post-Covid-19 data needs to recover better. The project will span the years 2022-2025 and will be jointly implemented by the five UN Regional Commissions, UN Environment Programme (UNEP), UN Office on Drugs and Crime (UNODC), and the UN Statistics Division. It aims to strengthen the institutional and organizational frameworks supporting efficient and effective governance and coordination mechanisms of National Statistical Systems as well as to enhance resilience and agility of statistical operations by taking advantage of innovative data collection methods, new data sources, and advanced technology. The presentation was followed by an open discussion that allowed participants from developing countries, the UN Resident Coordinator System, UN Country Teams, and development partners to express their needs and to comment on cooperation opportunities.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): UNSD ADB ESCAP SIAP
Description: This course is designed to provide a strong conceptual and practical foundation required to build high quality SBRs. This will in turn facilitate the harmonization of integrated economic statistics in terms of coveragestatistical unitsand frame methodology.
Description: Volunteer work, often referred to simply as "volunteering," is a crucial renewable resource for social and environmental problem-solving the world over. The scale of such work is enormous and the contributions it makes to the quality of life in countries everywhere larger still. Despite this, however, little sustained effort has gone into its measurement. The objective is to make available comparative cross-national data on a significant form of work that is growing in importance but is often ignored or rarely captured in traditional economic statistics. Doing so will help to fulfill the United Nations Secretary General's recommendations in his follow-up to the implementation of the International Year of Volunteers report (United Nations, 2005) that governments should "vigorously" pursue "actions to build up a knowledge base" about volunteer work and to "establish the economic value of volunteering". The ILO Department of Statistics, in collaboration with the ITCILO, is therefore proud to offer the first online edition of this course designed to guide countries in generating systematic and comparable data on volunteer work via regular supplements to labour-force or other household surveys. This will support evidence-based policy-making and help realize the vision of the UN Secretary General: building a strong database on volunteer work will have a solid impact on macro-economic policies, as well as furthering the ILO Decent Work agenda.
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Aims at enhancing the theoretical and practical knowledge related to the HICP, based on the HICP Methodological Manual and other HICP guidance material; * Describes the purpose, use and construction of HICP; * Participants become familiar with the standard methods, the specific HICP requirements, as well as with recent developments such as the use of scanner data.
Target Audience: Statisticians of CPI/HICP departments in National Statistical Institutes involved in the production of CPI/HICP with one to two years of experience on CPIs. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): UN Global Pulse United Nations UNDP UNESCO WHO
Description: Join us to our 76th United Nations General Assembly Side Event on 27 September 2021 at 8 AM EST about "Promoting Transparency to Counter Disinformation and Build Trust - UN agencies working together to support Member States in times of COVID-19 and beyond". UN Global Pulse, the Office of the Secretary-General’s Envoy on Technology, the United Nations Department of Global Communications, UNDP, UNESCO, and WHO will host the free online event. This follow-up side session to the 2020 United Nations…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Background Tourism and its supporting sectors are the most affected industry by the COVID-19 pandemic worldwide. The Stats Café discusses interim results of a study by ESCAP that investigates the use of alternative data sources for tourism statistics during the COVID-19 pandemic in Indonesia, Thailand and the Maldives. The value of web scraping and geospatial data for producing tourism statistics is examined. , Stats Café Home: Upcoming events Concluded events
Description: From 22nd to 30th September 2021, FAO will hold webinars in different languages to present the latest progress and acceleration needs to meet SDG target 6.4.
Description: FSIs are an important tool of macro financial analysis, featuring in a number of countries’ Financial Stability Reports, and IMF surveillance work, including Article IV Consultation Reports, Global Financial Stability Reports, and Financial Sector Assessment Programs (FSAPs).This webinar is a hands-on overview of the main changes in the concepts, definitions, data sources and methods for the compilation and dissemination of the new FSI data collection. Upon completion of this webinar, FSI compilers will be familiar with the structure of the new report forms, reflecting advances in the regulatory framework— most prominently embodied in the Basel III reform—including new definitions and measures of capital and new global liquidity standards, as well as the revised International Financial Reporting Standards (IFRS) accounting standards. Compilers will also gain a sound understanding of the changes in their respective countries’ historic series and metadata.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Providing knowledge and basic practice on use of earth observation data to produce statistics, EO data sets, processing analyses and presenting.
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of Earth observation, geographic information systems and statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on 'Prices' for the benefit of Uganda Bureau of Statistics (UBOS) and other National Statistical Offices (NSOs) of OIC Member Countries on 20-22 September 2021. Mr. Cem BAŞ, Head of Price Statistics Department at Turkish Statistical Institute (TurkStat), will conduct the course and cover the following topics: General information about price indices Source of weights and basket CPI-HICP / PPI Analysis of CPI-HICP / PPI indices and prices Calculation of CPI and PPI Service PPI general information Rebasing of price indices and chain linking The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Description: he report Bridging the Gap: Mapping Gender Data Availability in Asia and the Pacific traces the availability and quality of data for 98 gender-relevant indicators across key domains such as health, education, economic empowerment, political participation, human security, and environment. The study, covering five countries in Asia and the Pacific, uses a combined set of 32 SDG indicators identified by UN Women as gender-relevant, 59 SDG indicators identified by Open Data Watch as being capable of sex-disaggregation or of other gender relevance, and 7 indicators suggested by the UN Women’s publication Turning Promises into Action (2018). This Stats Café aims to celebrate the launch of the report and raise awareness about progress in gender data availability, the data needed, gaps which may exist and how these gaps may be narrowed. , Stats Café Home: Upcoming events Concluded events
Description: As part of WHO ICD-11 webinar series, the Classifications and Terminologies Unit and the Occupational Health Programme are organising an ICD-11 webinar that will be held in collaboration with the International Labour Organisation on September 17th, 2021 at 14:00 CEST. The webinar will focus on: ICD-11 use in Occupational health.
Organizer(s): European Network for Better Establishment Statistics
Description: ENBES - The European Network for Better Establishment Statistics - is pleased to invite you to submit abstracts and/or papers for the seventh European Establishment Statistics Workshop (EESW21). The workshop will be online, on 14-17 September 2021. It is (virtually) hosted by Statistics Netherlands (CBS) and the Office for National Statistics (ONS). The workshop will consist of four half days. EESW21 is a prime European opportunity for like-minded official statistics methodologists, academic researchers and private sector professionals in the fields of business, economic and other areas of establishment statistics. The main purpose of the online event is to exchange experiences, meet people, share new methods and findings, learn and get inspired from each other, and create opportunities for deeper collaboration. It will include a variety of elements as in a traditional in-person workshop, such as a poster session where participants can meet each other. Like in our previous workshops, the number of registered participants will be limited to 55 in order to facilitate interaction. Authors of accepted abstracts will have priority for registration. The production of establishment statistics has clearly been affected by COVID-19. Various adaptations to regular statistics were made, such as acceleration towards electronic data collection, adjustments for increased non-response, changes to imputation models, additional quality checks and new kinds of output. While EESW21 will not include a special session devoted to COVID-19, contributions on how production has been adapted to these new conditions are invited. Under a broad heading of Adapting establishment statistics to new conditions, the workshop welcomes contributions on all topics related to establishment statistics: sample design, data collection, response process, editing and imputation, estimation, modelling, quality assessment, data presentation and dissemination, metadata and process data for establishment statistics, cross-national statistics, and similar. In practice, not all topics can be covered within the available time.
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). Both a brief, overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered. Introductions to each of the 3 main accounts, Environmental Taxes, EGSS, EPEA, plus some relevant extensions such as environmental subsidies and related transfers and ReMEA (resource management expenditure accounts) will be in focus. The course will make emphasis in putting together the practical difficulties that participants have in their offices to produce the monetary environmental accounts and discussing solutions and best practices.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above * Managers with responsibility on several or all the areas listed above. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 31 Aug 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Providing participants with a better understanding of the principles of creating, developing and disseminating data visualisations to a wide audience: Various means of content visualisation (infographic, video, animation, etc.): * Different ways of using infographic, video, animation; * The do’s and don'ts of content visualisation; * How to display your own content and organise it effectively; * How the media use visual material.
Target Audience: ESS staff with some basic knowledge of data visualisation. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on 'Social Protection Statistics' for the benefit of State Committee of the Republic of Uzbekistan on Statistics (GOSKOMSTAT) and other National Statistical Offices (NSOs) of OIC Member Countries on 13-17 September 2021. Experts from the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan will conduct the course and cover the following topics: Gender Statistics (GS): Institutional framework for gender equality, National system of GS indicators and UN international recommendations, Overview of sample surveys in the field of GS (violence against women, generations and gender, etc.) conducted in Kazakhstan, Dissemination of GS data and interaction with users and data producers in Kazakhstan. Innovation Statistics: Methodological approaches to the formation of R&D and innovation statistics. Household surveys: Formation and organization of the sample, Sample rotation, Selection tools. Standards of Living and Poverty Statistics: Statistics of the standard of living, Methodology for calculating poverty indicators, New directions in the development of poverty statistics. Social Statistics: Main sources of data on the population and its socio-demographic characteristics, Methodology and formation of data on demographic statistics, education, health and social security statistics, Experience in conducting surveys (MIX, level of public confidence in law enforcement agencies). The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 11 Aug 2021 )
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Organizer(s): Eurostat EFTA FSO Switzerland
Description: Objectives: * To provide participants with a theoretical and methodological background on the development of indicator systems, especially in the context of monitoring SDGs; * To build up a common understanding of terms, definitions, as well as the role and limits of official statistics in the construction and maintenance of indicator systems; * To provide knowledge about the links between policy makers and other users of indicators and the statistical community providing data and indicators. The course will not address the following topics: * Construction of individual indicators Construction of data platform and reporting procedures for SDGs monitoring; * Use of indicators in statistical models.
Target Audience: Staff members working in the field of monitoring the UN Sustainable Development Goals (SDGs) or of economic, social or environmental statistics who are or who will be involved in indicator systems or who need to extend their knowledge on how to use indicators and indicator systems. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise an Online Training Course on ‘Labour Supply, Demand and Productivity Statistics’ for the benefit of General Bureau of Statistics (ABS) of Suriname and other National Statistical Offices (NSOs) of OIC Member Countries on 13-15 September 2021. Ms. Samiah Ponggot, Deputy Director; Ms. Rosnah Muhamad Ali, Ms. Wan Roslida Othman, and Ms. Nur Layali Mohd Ali Khan, Statisticians at Department of Statistics Malaysia (DOSM), will conduct the course and cover the following topics: Labour Supply: Concept and Definition, Method of Data Collection and Sampling Design, Labour Force Statistics, and New Indicator Released (Underemployment) Labour Demand: Concept and Definition, Sampling Design, Data Collection, Data Processing, and Employment Statistics (Dissemination) Labour Productivity: Concept, Definition and Data Sources, Component of Labour Productivity, and Approach of Labour Productivity Estimate Labour Market Data Analysis: Linking the Data Dimensions to Inform Policy Decisions The course will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of this course is to provide participants of theoretical and practical knowledge and understanding of all aspects of data collection by fields interviews from preparatory steps for the fieldwork to the processes after the data retrieval in order to maximise the quality of data in compliance with the European requirements, guidelines and best practices.
Target Audience: Statistical units responsible for field work in the NSIs and field survey methodologists of NSIs. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Data on disability in childhood is essential to better understand and address unmet needs and barriers to full participation of children with disabilities in areas that are fundamental for their development, including access to education, health, basic services, and recreation. In response to this, the Washington Group on Disability Statistics and UNICEF developed the Child Functioning Module (CFM) to identify children with a disability. This tool is designed for administration to parents or primary caregivers. In recognition that in some settings, particularly education settings, modifications to the CFM may be necessary, a version intended to be administered to teachers and school administrators has been created. This tool, the CFM-Teacher Version (CFM-TV), is still under development and further testing is needed. There has been an increased interest in exploring the use of the CFM-TV in a range of contexts, including in humanitarian crisis and emergency settings, and the Washington Group Secretariat has responded to a series of requests from partners for information and access to the tool. As evidence on the implementation of the CFM-TV is still limited, the Washington Group Secretariat covened this meeting to promote an exchange of knowledge among these partners on their experiences with the CFM-TV which will provide valuable information and may generate collaborations among the initiatives.
Description: The seminar is jointly organized by the National Bureau of Statistics of China (NBS), the United Nations Statistics Division (UNSD), and the United Nations Global Platform for Big Data China Hub.
Description: Main goals of the course are to enhance the capacity of trade statisticians to apply the most recent internationally agreed recommendations as contained in the Manual on Statistics of International Trade in Services 2010 (MSITS 2010); to define best possible data sources; to set up or enforce collection systems; and to strengthen statistical production processes. Furthermore, the course would raise awareness of SITS and its concepts, enhance statisticians’ capacity, and help them to better understand the MSITS 2010.
Title in French: Cours d'apprentissage en ligne TrainForTrade sur les statistiques du commerce international des services Organisé conjointement par la DSNU et la CNUCED en coopération avec l'OMC
Organizer(s): UNSD UNCTAD WTO
Description: L'objectif de ce cours est d’améliorer la capacité des statisticiens du commerce à appliquer les recommandations les plus récentes du Manuel des statistiques du commerce international des services 2010 (MSCIS 2010) adoptées au niveau international, de définir les meilleures sources de données possibles, de mettre en place ou appliquer des systèmes de collecte, et de renforcer les processus de production statistique.
Description: Volunteer work, often referred to simply as “volunteering,” is a crucial renewable resource for social and environmental problem-solving the world over. The scale of such work is enormous and the contributions it makes to the quality of life in countries everywhere larger still. Despite this, however, little sustained effort has gone into its measurement. The objective is to make available comparative cross-national data on a significant form of work that is growing in importance but is often ignored or rarely captured in traditional economic statistics. Doing so will help to fulfill the United Nations Secretary General’s recommendations in his follow-up to the implementation of the International Year of Volunteers report (United Nations, 2005) that governments should “vigorously” pursue “actions to build up a knowledge base” about volunteer work and to “establish the economic value of volunteering”. The ILO Department of Statistics, in collaboration with the ITCILO, is therefore proud to offer the first online edition of this course designed to guide countries in generating systematic and comparable data on volunteer work via regular supplements to labour-force or other household surveys. This will support evidence-based policy-making and help realize the vision of the UN Secretary General: building a strong database on volunteer work will have a solid impact on macro-economic policies, as well as furthering the ILO Decent Work agenda.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: As part of the IUCN World Conservation Congress, the event Combing public and private forces to apply natural capital accounting will be held on-site in Marseille, France, to discuss opportunities for aligning public and private applications of natural capital accounting and assessments. It will focus on how businesses can use data derived from the SEEA Ecosystem Accounting for natural capital accounting and how it can be used to further standardize business applications.
Organizer(s): UNSD IUCN Conservation International
Description: As part of the IUCN World Conservation Congress, the UN Department of Economic and Social Affairs, IUCN and Conservation International are organizing a side event, Incorporating nature in development planning through natural capital accounting. This session discusses Natural Capital Accounting (NCA) and the System of Environmental-Economic Accounting, Ecosystem Accounting (SEEA EA), including their role in helping incorporate nature and sustainability into economic planning, as well as meeting Sustainable Development Goals and other global environmental commitments. Speakers include representatives from the United Nations, South Africa National Biodiversity Institute, Convention on Biological Diversity, Global Environment Facility, European Commission, Conservation International and IUCN. More information can be found on the event flyer and here. Participation in the event is limited to those registered for the IUCN WCC.
Organizer(s): ISI Baltic-Nordic-Ukrainian Network on Survey Statistics
Description: The Summer School on Survey Statistics 2021 is fully virtual and offers educational sessions in English on Friday 3, 10, 17 and 24 September at 15-18 and sessions in Russian on Saturday 4, 11, 18 and 25 September (exact times TBA). Detailed information can be accessed here. The summer school is free of participation fee and is open for anyone interested. Registration required. Information on registration and contributed paper submission can be found on the event web site. The main aim of the summer school is to promote scientific and educational cooperation in survey and official statistics between statisticians interested in new trends in the area. Educational sessions include keynote lectures, invited lectures and contributed papers. Main topics are Data integration, Machine Learning and Small area estimation. Topics related to survey and official statistics are welcome in contributed papers. The summer school is organized by the Baltic-Nordic-Ukrainian (BNU) Network on Survey Statistics. Today, the network involves partners from eight countries: Belarus, Estonia, Finland, Latvia, Lithuania, Poland, Sweden and Ukraine. The Summer School on Survey Statistics 2021 is the 24th of the scientific or educational events organized by the network since 1997. The event is sponsored by the International Association of Survey Statisticians (IASS).
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This research outlines the process of building a sample frame of US SMEs. The method starts with a list of patenting organizations and defines the boundaries of the population and subsequent frame using free to low-cost data sources, including search engines and websites. Generating high-quality data is of key importance throughout the process of building the frame and subsequent data collection; at the same time, there is too much data to curate by hand. Consequently, we turn to machine learning and other computational methods to apply a number of data matching, filtering, and cleaning routines. The results show that it is possible to generate a sample frame of innovative SMEs with reasonable accuracy for use in subsequent research: Our method provides data for 79% of the frame. We discuss implications for future work for researchers and NSIs alike and contend that the challenges associated with big data collections require not only new skillsets but also a new mode of collaboration.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014, which is harmonized with the system of national accounts. The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Description: This course, presented by the Statistics Department, teaches you how to compile timely, high quality national accounts statistics based on the system of national accounts (SNA) framework. The course introduces the sequence of national accounts, the accounting rules, and the key macroeconomic indicators in the SNA framework. You will learn about gross domestic product (GDP) - the main aggregate of the system, and how to compile consistent and internationally comparable measures of GDP according to the production, income, and expenditure approaches. The course also discusses in detail, how the SNA can be used to track an economy's production, consumption, and income and how to estimate volume measures of GDP.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts that cover balance of payments and international investment position (IIP) statistics according to the internationally accepted standards. It is a basic-level course laying the foundation for the face-to-face intermediate balance of payments and IIP statistics course. It is open to those who compile, or plan to compile, balance of payments and IIP statistics and to the general public.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): HSE University Russian Federation ESCAP SIAP
Description: The main objectives of this course are to provide deep knowledge about integrated transaction accountsintroduce the 2008 SNA-changes from 1993 SNAexplain the use of volume measures in national accounts and brief the participants about SDGs and SNA
Source: Eurostat (Data extracted on: 03 May 2021 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide the participants with a state of the art knowledge of the methodology and practice of nowcasting; * To introduce the participants to the use of R to produce nowcasts for their own series.
Target Audience: Staff of national statistical institutes involved in the production process who want to acquire a good understanding of nowcasting methods and practices. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: This course will focus on energy statistics and accountsas well as some important energy aggregates and indicators (including SDGs). The energy accounts are based on the System for Environmental-Economic Accounting-Energy (SEEA-Energy) which is a multi-purpose conceptual framework for organizing energy-related statistics. It supports analysis of the role of energy within the economythe state of energy inputs and various energy-related transactions of environmental interest.
Description: This course, presented by the Statistics Department, reviews data sources and methods for compiling RPPIs and outlines strategic issues for country-specific application. Emphasis is given to the importance of evaluating alternative data sources for compiling RPPIs in terms of coverage, timeliness, richness in terms of supporting a quality-mix methodology, suitability of a price measure, and weighting. Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources. The methodological component of the course emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices. Mix-adjustment by stratification and hedonic regression are the main methods used to deal with this issue and interactive workshops deal with these topics. The course also highlights how data source and methodological issues are intertwined and follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank.
Description: This Stats Café explored different big data partnership models with government agencies and the private sector, touching upon data privacy issues, necessary legal adjustments to accessing and using big data for official statistics, and win-win models for data exchange. Related events Asia-Pacific Stats Café Series: Big Data Governance, 16 August 2021. Expert Group Meeting on Big Data for Official Statistics: Big Data Governance (Expert Discussion I), 19 August 2021, 2 September 2021 (Read Report) , Stats Café Home: Upcoming events Concluded events
Description: This course, conducted by the IMF Statistics Department, deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and on the practical aspects of compiling public sector debt data. Basic concepts, accounting principles, and detailed classifications are discussed in the context of methodology harmonized with government finance statistics and the system of national accounts. The course examines: - reconciliation of stock and flows data from PSDS and GFS; - data analysis; - classification of PSDS debt instruments; - valuation of debt instruments; and - consolidation. The course is organized around a series of short country presentations on their data by participants that will then lead on to discussions of participants own country experiences.
Target Audience: Officials whose main responsibility is compiling public sector debt and government finance statistics.
Title in Arabic: رسم خرائط الطائرات بدون طيار ونظام المعلومات الجغرافية والذكاء الاصطناعي
Organizer(s): AITRS
Description: أصبحت خرائط الطائرات بدون طيار "أداة" قوية لإنشاء خرائط ثنائية الأبعاد ونماذج ثلاثية الأبعاد يمكن استخدامها في أنواع مختلفة من التطبيقات من الزراعة ورسم الخرائط والطاقة والبناء وحتى الاستجابة للطوارئ. ويتيح دمج خرائط الطائرات بدون طيار التي تعمل بالذكاء الاصطناعي مع نظام المعلومات الجغرافية (GIS) وأجهزة الاستشعار الحصول على بيانات ومعلومات تمكن من إجراء تحليلات وتنبؤات أكثر دقة واتخاذ قرارات أفضل. وتهدف هذه الورشة التدريبية الى تمكين المشاركين من التعرف على متطلبات تقنيات رسم خرائط بالطائرات بدون طيار وكيفية انجاز العمل الميداني بهذه التقنية، بالإضافة الى كيفية دمج المعلومات المتحصل عليها مع ما تتيحة وأنظمة المعلومات الجغرافية والاستشعار عن بعد وتوفير بيانات احصائية تساعد على التحليل واتخاذ القرارات المبنية على الادلة وخاصة في إطار اهداف التنمية المستدامة. وفي ما يلي تقديم أكثر للورشة باللغة الإنجليزية نظرا لصعوبة ترجمة بعض المصطلحات ولمزيد فهم المطلوب في هذا المجال الجديد
Description: The Asia-Pacific Stats Café Series on "Emerging issues in Economic Statistics", will be held on Monday, 23 August 2021. In this Stats Café, we will discuss progress made by some countries to make estimates of digitilisation in their national accounts statistics.
Description: With many countries launching their SDG data and metadata platforms and presenting their Voluntary National Reviews, there is a growing need to develop and deliver engaging data visualizations across a range of outputs and media. In response, UNSD developed an SDG and COVID-19 data visualization toolkit containing a set of SDG and COVID-19 related icons, along with templates for a range of outputs, including reports, infographics, social media and flyers. The webinar introduced the toolkit and provided guidance on how to best make use of the icons and templates included in the toolkit. It also shared best practices for designing graphics, introduced some of the other available tools and resources, and provided examples of how to utilize the toolkit for SDG and COVID-19 related reporting and other thematic outputs.
Description: The Second Workshop of the Pacific National SDG Tracker Workshop Series focused on the key challenges and activities associated with the countries’ indicator landscape, with the following objectives: Provide a brief overview of the situation in small island developing states with respect to their indicator landscapes Learn from the countries’ challenges, work plans and common activities for addressing and developing the indicator work Develop and consolidate ideas on the way forward, in a manner which enables information sharing >> Agenda , Home - Workshop Series 1st Workshop (Jul 2021) 2nd Workshop (Aug. 2021)
Title in Arabic: استخدام البرمجيات الاحصائية في التحليل الاحصائيSPSS & STATA
Organizer(s): AITRS
Description: تلعب البرمجيات وتوفر التطبيقات دورا هاما في المساعدة على تحليل وإنتاج المعلومات والمؤشرات الإحصائية بأشكال حديثة قابلة للفهم بيسر ومعبرة عن النتائج مع الاشارة الى ضرورة اختيار البرمجية والتطبيقة الجاهزة التي تساعد في التحليل والدراسة لا سيما ان بعض التطبيقات أصبحت متخصصة لتحليل ظاهرة معينة بشكل أكفأ من غيرها. كما توصي بعض الجهات المانحة باستخدام تلك التطبيقات لأغراض المقارنة وبناء تراكمي لبيانات الدولة او الجهة الإحصائية قصد التعامل مع كافة أنواع البيانات وأشكالها في التحليل الاحصائي من حيث حجم البيانات او نوعها بعد عملية تنظيف البيانات وترميزها لتكون جاهزة للتحليل واستخلاص النتائج ومن ثمة تفسير تلك النتائج. أن للتحليل الإحصائي دور كبير في اختصار الوقت وتوفير الجهد وإعطاء نتائج دقيقة حيث يوجد عدد من برامج التحليل الإحصائي تمكن من القيام بتحليل إحصائي لمجموعات البيانات الخاصة به. وتأتي هذه الورشة لتعريف الاجهزة الاحصائية على برنامجين مستخدمين في الأجهزة الإحصائية للتعرف على استخدامهما وهما (STATA & SPSS)، والالمام ببعض الجوانب التفصيلية لكلٍّ منها. تهدف الدورة الى تعزيز قدرات العاملين في الأجهزة الاحصائية العربية بموضوع التحليل الاحصائي باستعمال برامج التحليل بصورة جيدة والقيام بإجراء عمليات التحليل الإحصائي على البيانات وفهم معناها ووصفها بطريقة إحصائية سليمة. وسوف تغطي الدورة المواضيع التالية: * مقدمة عن برنامجي SPSS وSTATA ومميزات كل منهما في اجراء التحليل الاحصائي. * الخطوات الأساسية لاستخدام برنامجي SPSS و STATA في التحليل. * التعريف بأهم الاوامر المستخدمة لتعريف البيانات ومتغيراتها ووصفها واعادة تصنيفها وانشاء متغيرات جديدة. * كيفية إنشاء الجداول وإعداد إجراءات التحليل الإحصائي البسيط والتعامل مع المخرجات. * التعرف على كيفية دمج الملفات.
Description: The Asia-Pacific Stats Café Series on "Big Data Governance" was held on Monday, 16 August 2021, 12:00-13:30 hours (GMT+7). Attendance summary Flyer This Stats Café explored governance issues related to the use of big data for official statistics, including privacy, ethics, legislation and coordination, and how the role of the NSOs in government-wide digital strategies, national data infrastructure and data sharing can be leveraged for expanded uptake of big data in statistical operations. Related events Asia-Pacific Stats Café Series: Big Data partnership models, 30 August 2021. Expert Group Meeting on Big Data for Official Statistics: Big Data Governance (Expert Discussion I), 19 August 2021, 2 September 2021 (Read Report) , Stats Café Home: Upcoming events Concluded events
Description: SDG Lab is a secure online platform, built by UNSD, with which both global and national data and metadata can be shared, using SDMX, with the aim of increasing data transparency, and improving international comparability and data availability. Unlike the public-facing data and metadata platforms that almost all UNSD-FCDO project countries have now established, SDG Lab is designed for use by NSOs, allowing them to compare side-by-side the national data and metadata they have prepared with that provided by the SDG custodian agencies using their own sources and methodologies. This webinar will provide guidance and practical demonstrations to project countries on how to upload both metadata and data to SDG Lab, as well as how to use it to both identify and explain potential differences that exist between the global and national sources.
Description: أظهرت جائحة كورونا الحاجة الملحة لتطوير وسائل وآليات جمع البيانات الاحصائية في كل المجالات الاقتصادية والاجتماعية والديمغرافية وضرورة الحصول على النتائج في أسرع الاوقات لاتخاذ قرارات مبنية على الادلة، وذلك لعدة أسباب تتعلق أساسا بالإشكاليات اللوجستية والفنية والبشرية بالإضافة الى توجه شريحة هامة من المهتمين بالشأن الاحصائي الى المصادر الجديدة للبيانات على غرار البيانات الضخمة. ومن هذا المنطلق، توجهت جل الاجهزة الاحصائية لاستغلال التكنولوجيا والوسائل الجديدة للاتصالات وكل ما تتيحه هذه التكنولوجيات لتطوير طرق عملها في كامل سلسلة العمل الاحصائي. وفي هذا الإطار، تهدف هذه الورشة الى تمكين المشاركين من التعرف والتعامل مع هذه التقنيات الجديدة وتوظيفها بشكل دقيق في العمل الاحصائي في كل مراحله وخاصة جمع البيانات وتخزينها ومعالجتها.
Description: The Asia-Pacific Stats Café Series on "Harnessing Time-use Data for Evidence-based Policy and the 2030 Agenda for Sustainable Development" was held on Monday, 9 August 2021, 12:00-13:00 (GMT+7). Attendance summary Flyer About the Session Time-use surveys and statistics have become an essential component of the international statistical toolbox since their introduction through social surveys more than a century ago. These surveys provide a detailed time accounting of activities people engage in through their day-to-day lives. Time-use data can offer crucial insights into the formulation and monitoring of gender-responsive public policies and development strategies on a diverse range of areas with implications for the lives of women, men, girls and boys. Such policy areas include, for instance, addressing constraints faced by women in participating in the labour market, accessing education, training and healthcare; expanding understandings of poverty to encompass the manifestations and implications of “time poverty”; addressing quality and affordability of childcare provision and care of older persons; as well as enhancing benefits for women and girls through public investment in infrastructure development and basic social services. While over 30 countries in the Asia-Pacific region have conducted time-use data collection through nearly 100 collection exercises, the use and analysis of the data for policy purposes has been very limited, one reason being the limited awareness of the policy applications of such data. References: Manual: Harnessing Time-Use Data for Evidence-based Policy, the 2030 Agenda for Sustainable Development and the Beijing Platform for Action Read blog: Harnessing time-use data for gender equality policies and beyond. , Stats Café Home: Upcoming events Concluded events
Description: This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts and methods of compiling CPIs, PPIs, and XMPIs. It provides an overview of the index number theory and its practical implications in terms of choosing the index number formula at lower and higher levels of aggregation. The course also covers methods for sampling and collecting data from outlets and establishments. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. The role of price indexes as deflators in the 2008 SNA is analyzed, as are related principles of scope, coverage, and valuation. There are sessions on the following topics: methods for handling temporarily and permanently missing items; adjusting prices for quality changes, including new products, establishments, and outlets; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommended practices in the CPI (2004), PPI (2004), and XMPI (2009) manuals.
Description: This regional workshop is organized in context of the Technical Cooperation Program project aiming at strengthening national capacities of Pacific Islands countries to monitor SDG Target 2.1.
Description: تهدف الورشة أساسا الى تدريب المشاركين حول طرق إعداد محتوى إحصائي وتصويري جذاب وسهل الفهم للبيانات، وخاصة فيما يتعلق بمؤشرات أهداف التنمية المستدامة، وذلك باستخدام تقنيات البرمجيات المفتوحة المصدر. تهدف الورشة أيضاً إلى تحسين المهارات وتطوير قدرات الإحصائيين في سرد القصص التي تعتمد على البيانات، كما وإنتاج تحاليل إحصائية قابلة للقراءة والفهم من خلال جعلها جذابة بصرياً لجميع المستخدمين. سيتم توجيه وتدريب المشاركين خلال الورشة حول كيفية إعداد الإنفوجرافيك (Infographics) باستخدام أدوات تصويرية مجانية على الإنترنت، وذلك كمحاولة لمساعدة المكاتب الإحصائية الوطنية على تقديم بيانات بطريقة أكثر جاذبية وتكون سهلة الاستعمال.
Organizer(s): UNSD ESCAP DOSM Malaysia PSA Philippines
Description: This webinar is part of the UN Development Account Project, Environmental-Economic Accounting for Evidence-Based Policy in Africa and Asia. This webinar introduces the SEEA and land accounting to stakeholders in the project's Asia Pacific partner countries, Malaysia and the Philippines. The webinar will introduce the conceptual framework of the SEEA, how land accounts are compiled and the policy applications of land accounts. The webinar will also include country experiences in compiling land accounts and how land accounts can be used for monitoring the SDGs, post-2020 global biodiversity framework and more. UNSD is collaborating with the Statistics Division of the Economic and Social Commission for Asia and the Pacific (ESCAP), Department of Statistics Malaysia (DOSM) and the Philippine Statistical Authority (PSA) in implementing the project in Asia. This webinar is geared towards national stakeholders in Malaysia and the Philippines, including line ministries, mapping agencies, NGOs and academia. The implementation of the SEEA is truly a multi-stakeholder approach and requires cooperation of many national partners and agencies.
Organizer(s): UNSD Environment Forest and Climate Change Commission Ethiopian Biodiversity Institute
Description: Ethiopia aims to build a green economy and to follow a climate resilience and green growth path that fosters sustainable development. Through the development of its Climate-Resilient Green Economy (CRGE) strategy that is based on carbon-neutral growth, it envisions attaining middle-income status by 2025 (FDRE 2012). Natural capital accounts for about 40 percent of Ethiopia’s total wealth, with cropland and pastureland comprising over two-thirds of this wealth, thus a better understanding of the state of natural capital and of the flows of benefits it provides is vital to ensure sustainable development and equitable growth. The globe aspires to ensure the vision of “Living in harmony with nature” by 2050. However, we have seen in most cases that Millennium Development Goals (MDGs) and National Biodiversity Strategy and Action Plans (NBSAPs 2011-2020) were not fully achieved as they were hoped. Similarly, the current progress towards realizing Sustainable Development Goals (SDGs) of 2030 indicates the need for a determined effort. Climate change adjoined by severe environmental degradation has been affecting Ethiopia’s large agrarian population. Lessons show that, unless appropriate adaptation and mitigation measures are in place to maintain the forest resources, climate change may reverse the hard-won economic growth of the country. Unfortunately, half (54 million ha) of the country’s landmass show a varied level of degradation, calling for urgent interventions. Ethiopia started restoring its lost forests and degraded landscapes a long time ago, but the recent introduction of the Green Legacy Initiative (GLI) is to plant billions of tree seedlings. The GLI aims to mobilize millions of volunteer citizens to engage in reversing decades of deforestation and forest/land degradation. This webinar will provide an overview of living in harmony with nature by taking Ethiopia’s experience, discussing socio-economic and ecological benefits, challenges and opportunities associated with the planning, implementing, and reporting of the GLI.
5th AMDN Webinar: Migration for development in Africa: Using migration data to formulate policy responses
29 Jul 2021 – 29 Jul 2021
Source: IOM GMDAC (Data extracted on: 29 Sep 2021 )
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Organizer(s): IOM GMDAC STATAFRIC Statistics Sweden
Description: Migrants’ role in development processes is receiving an increasing policy recognition in countries and regions of origin and destination and at the global level. However, current gaps in the available evidence and data still hinder the adoption of policies that can maximize the developmental potential of migration in Africa. Contributors to this webinar will discuss the impact of migration on development at both the macro and micro level in Africa, with a particular focus on West Africa. They will also provide an overview of recent policy trends towards the adoption of diaspora policies on the continent, and related needs in terms of data and evidence. This webinar draws from the edited volume “Migration in West and North Africa and across the Mediterranean”, of which a French edition has just been released. This edited volume provides a comprehensive, fact-based account of migration from and within West and North Africa and across the Mediterranean over the past two years. It equips policymakers and practitioners in Africa and Europe with an up-to-date, consolidated picture of key aspects of migration in these regions – recent trends and data issues, development implications, risks and vulnerabilities, as well as national, regional and cross-regional governance elements. The volume features contributions from several IOM offices, as well as other international organisations, research institutes and civil society organisations from Africa and Europe. It was produced as part of the programme Safety, Support and Solutions on the Central Mediterranean Route, funded by the United Kingdom Foreign, Commonwealth and Development Office (FCDO).
Description: The Inception Workshop for the initial roll out of the National SDG Tracker tool for the Pacific aimed to provide countries considering engaging in the project with the following opportunities: Learn more about the Workshop Series objectives and approach, and seek clarification on issues Enhance their understanding of the national indicator landscape, with some broad guidelines on best practices Hear from other pacific countries on approaches adopted to produce national indicators, and thus monitor sustainable development progress Learn more about the National SDG Tracker tool, and how it monitors national progress against the SDGs Understand more about future work required throughout the workshop series, in particular requirements for workshop 2. Important note: Participation in the Inception Workshop does not commit countries to engaging throughout the workshop series, which will be the countries decision. Agenda Concept Note , Home - Workshop Series 1st Workshop (Jul 2021) 2nd Workshop (Aug. 2021)
Source: World Bank (Data extracted on: 11 Aug 2021 )
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Organizer(s): World Bank JICA
Description: Data are everywhere. But what is the data revolution doing for the 700 million people who live in extreme poverty? When data are turned into valuable information, they have the potential to improve lives, transform economies, and help end poverty. Now more than ever, the world is facing new demands for data as our principal weapon in the war against COVID-19. The latest edition of the World Development Report, “World Development Report 2021: Data for Better Lives”, provides a blueprint on how to harness the power of data for development, to ensure no one is left behind. At this seminar, WDR 2021 co-directors Vivian Foster, Chief Economist for Infrastructure and Dean Jolliffe, Lead Economist, and WDR 2021 manager Malarvizhi Veerappan, Senior Data Scientist, presented the main findings of the WDR 2021.
Description: Most tourist destinations in the world are affected by the phenomenon of seasonality. Destinations with high fluctuations in seasonality often face various challenges, such as overcrowding, high prices, inadequate infrastructure in peak seasons, as well as a lack of services and job opportunities in shoulder and low seasons. Seasonality is a measurable feature with significant economic and social impacts. Understanding the main characteristics can help to modify its occurrence. Causes can be natural such as the seasons and related climate conditions, or institutional such as public and school holidays. Consequently, seasonality is regular and consistent and can be predictable and anticipated. This makes it more possible to mitigate. To measure the degree of seasonality, destinations can use specific indicators, ranging from tourist arrivals to occupancy rates. There are also indicators regarding initiatives to strengthen shoulder and low season periods, as well as measuring the level of effort designed to reduce seasonality. As seasonality is a factor in unemployment, seasonal employment and turnover of staff, indicators regarding the effects of seasonality on employment are important tools to monitor its social impact. This third technical webinar discussed experiences and lessons learned by some Members of the UNWTO International Network of Sustainable Tourism Observatories (INSTO) in the field of measuring and monitoring tourism seasonality. Tourism seasonality is one of the mandatory 11 key issue areas INSTO Members have to monitor and manage.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP Forum of Statistical Society Indonesia Disaster Management Agency Indonesia SINDPA within the MNDP
Description: This course in Indonesian language aims to build national capacities for the compilation of disaster related statistics for enhancing disaster management and promote the risk-informed sustainable development in Indonesia.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling solid wastes accounts. The topics covered include physical supply and use tablesdata sourcesand country examples. Webinars will also be held as part of the course to provide an overview of the topicsallow participants to ask questions and share country experiences in compiling solid waste accounts.
Description: The Asia-Pacific Stats Café Series on "Machine Learning for Sentiment Analysis" was held on Monday, 26 July 2021, 12:00-13:00 hours, Bangkok time (GMT+7). Attendance summary Flyer , Stats Café Home: Upcoming events Concluded events
Description: The Inception Regional Webinar on the System of National Accounts (SNA) update was held on Monday, 26 July 2021, 09:00 – 12:00 Hours, Bangkok time (GMT+7). Attendance and Evaluation Summary Concept note Agenda The purpose of the webinar was to achieve the following objectives and related documentation: Inform compilers about the progress with the SNA and BPM update programme Introduce the conceptual/compilation topics to foster informed participation in the global consultation on the guidance notes (GN) Collect and verify information of the baseline assessment (about the countries’ statistical capacity to implement the new recommendations) Elicit views on the user demand on the new recommendations Explore potential volunteers for the early implementation of the new recommendations Collect information about the countries’ implementation plans.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: This course is designed to create a strong foundation on International Accounts. The objectives of this course are to introduce the core conceptsmethods and framework of international accounts and highlight foreign direct investment’s potential contributions to sustainable development.
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): HSE University Russian Federation ESCAP SIAP
Description: The objective of this e-Learning Course is to provide an understanding of the basic concept and framework of the System of National Accounts (SNA 2008) and demonstrate methods and techniques for the compilation of the integrated transaction accounts.Цель этого электронного курса обучения - дать понимание основной концепции и структуры Системы национальных счетов (СНС 2008) и продемонстрировать методы и приемы составления интегрированных счетов операций. Он предназначен для государственных статистиков младшего и среднего звеназнакомых с СНС или участвующих в сборе и компиляции статистических 2 данныхподдерживающих составление национальных счетов. Этот курс может оказаться полезным для пользователей статистики национальных счетовне входящих в состав агентстваили техкто заинтересован в работе в этой области в будущем.
Description: During this Global Network Webinar, colleagues from the SDG Monitoring Section of the United Nations Statistics Division presented the SDG Report 2021 and the SDG Progress Chart 2021: The Sustainable Development Goals Report 2021 uses the latest available data and estimates to track the global progress of the 17 goals and reveal the devastating impacts of the crisis on the SDGs. The report also highlights areas that require our urgent and coordinated action. This report has been launched virtually by UN DESA Under-Secretary General Mr. Liu Zhenmin on 6 July, the first day at the High-Level Political Forum. The SDG Progress Chart 2021 presents a snapshot of global and regional progress toward selected targets under the SDGs through a traffic light dashboard. During the webinar, our speakers explained the report working process and highlighted the key findings from the report. The presentation was followed by a Q&A session, during which participants show interest in the data sources and data disaggregations for SDG indicators. In addition, data gaps and data collections during the COVID-19 were discussed during the webinar. For more information on the SDG progress, please visit the SDG indicator website.
Description: The Working Group on Fisheries Management (WGFM) will address the status of national submissions, timing of data calls, and standardized questionnaires, while focusing the discussion on currents needs for improvement,...
Description: COURSE RATIONALE Quality data allows individual researchers, institutions to establish baselines, benchmarks, and goals to keep moving forward. Data allows setting performance goals; therefore the quality of data in surveys is critical. The absence of quality data makes it difficult to make evidence-based policy and planning decisions, monitor trends and evaluate interventions. This training course on Data Collection provides solution in the production of quality data through integration of technologies in Data Collection. COURSE AIMS This course aims to train real-world skillful and competency quality data collectors who can use new technologies in data collection to make sure that accurate, complete, reliable, relevant and timely data is collected in different surveys through applying Concepts of Data Collection, Geographical Information system (GIS), Computer Assisted Personal Interviewing (CAPI) and Ethical Principles & Communication skills in Data Collection.
Target Audience: The course is designed for any individual; institutions (government & private) prepared to conduct data collection exercise through independent research, National Census and Household Surveys and International Surveys.
Description: This course deals with identification and assessment of elementary indicators and techniques for combining them into a single index of economic activity to track national trends. Flash estimates or indexes of economic activity bring together a range of elementary indicators to give timely general measures of economic activity. These measures give policy makers useful information that complements annual and quarterly GDP estimates, which are more comprehensive but usually only available after substantial lags, and provide a more comprehensive picture than individual monthly and quarterly indicators, which are up-to-the-minute but reflect just a portion of the total economy). This course is for actual or potential compilers of short-term indicators in central banks and statistical offices and for those who collect data for monthly indicators. Participants are expected to work with their own monthly and quarterly time series during the course. These indicators will be used in the practical session as the basis for experimental estimates.
Title in Arabic: مناجم البيانات Data (text) mining
Organizer(s): AITRS
Description: تهدف هذه الورشة الى تمكين المشاركين من التقنيات الضرورية لمعالجة المعلومات النصية والتعرف بشكل دقيق على Data mining واستغلالها لاستخراج معلومات أو معارف بالاعتماد على البيانات الضخمة وقواعد البيانات (العلائقية وغير العلائقية).
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): Eurostat
Description: On 9 July, Eurostat presented the new interactive publication 'Demography of Europe'. This publication presents European statistics on the population and looks at different aspects, such as population development the trend of an ageing population longer lives having children at an older age getting married and many more.
Description: The VNR lab will provide a platform for countries to share their experiences-both successes and challenges-in planning and preparing an evidence-based and data-driven VNR in the time of COVID-19. Data and statistics are guiding countries' effort in combating the virus, saving lives and recovering better. Over the last year, countries have faced unprecedented disruptions in statistical operations and a spike in demand for data to monitor and mitigate the effects of the global pandemic.
Description: Civil registration and vital statistics play a key role in facilitating the monitoring of progress in the SDGs where they serve as a denominator for a wide range of demographic goals and indicators. These statistics are a source of continuous and up-to-date information on birth, death and population statistics. Arab countries have civil registration systems, but some are unable to produce vital statistics according to international standards and recommendations. This is largely due to incomplete or insufficient registration, limited capacity in some countries, as well as recent and ongoing conflicts and other emergencies in others. However, in light of the regional preliminary assessments and in line with the 2030 Sustainable Development Agenda, there is still a need for a coordinated effort to improve civil registration and vital statistics systems in the Arab region. Member States have requested international and regional organizations to resume technical support and improve coordination between agencies at country levels in this area. In this context, ESCWA’s Cluster on Statistics, the Information Society and Technology, in coordination and cooperation with the Center of Excellence for Civil Registration and Vital Statistics Systems of the Canadian International Development Research Center (IDRC) and WHO Regional Office, is organizing a virtual workshop on developing a strategic framework on civil registration systems and vital statistics for the period (2021-2025) in the Arab countries on 14 and 23 June 2021. On its first day, the workshop aims to review the outlines of the draft strategy for improving civil registration and vital statistics systems for the period 2021-2025 in the Arab countries It will also discuss the questionnaire prepared by ESCWA aiming to collect data on civil registration systems in member countries to monitor progress made in the previous five years and development plans for the next five years, and ways to complete it to obtain the highest response from countries. Based on the outcomes of the workshop’s first day, the second day of the workshop aims to present the framework of the regional strategy plan for the development of civil registries and vital statistics in the Arab countries and to discuss ways and scenarios for their implementation. Meeting details Concept note
Organizer(s): SESRIC ESCWA Statistics Indonesia DOS Jordan DOSM Malaysia PCBS State of Palestine Statistics Senegal TurkStat Türkiye
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘Remote Data Collection Methods to Overcome the Challenges Faced by the NSOs During the COVID-19 Pandemic’ in collaboration with National Statistical Offices (NSOs) of Indonesia, Jordan, Malaysia, Palestine, Senegal, and Turkey, and the Statistics Division of the United Nations Economic and Social Commission for Western Asia (UNESCWA) on 6 July 2021 with the participation of NSOs of OIC countries. The objective of the webinar is to share experiences in using remote data collection methods, namely Computer Assisted Telephone Interviewing (CATI), Computer-Assisted Self-Interviewing (CASI), Computer Assisted Web Interviewing (CAWI), Short Message Services (SMS)/texts, Interactive Voice Response (IVR), online surveys, and app-based interviews, particularly during the COVID-19 pandemic. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is “to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making.”
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data, collected in accordance with international standards, is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyze appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analyze international labour migration and produce timely, high-quality, updated international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policy-making."
Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs), development agencies; non-governmental organizations.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP). ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
The Sequence of Accounts and the Recording of COVID-19 Related Initiatives
05 Jul 2021 – 08 Jul 2021
Source: IMF Metac (Data extracted on: 27 Sep 2021 )
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Organizer(s): IMF Metac CEF
Description: METAC delivered this four-day course remotely, with the CEF. Its purpose is improving the capacity to compile the full sequence of accounts in the Middle East and North Africa region, reflecting international standards and best practices. It was attended by 26 participants from 13 countries, and covered the following topics: (i) overview of the sequence of accounts; (ii) current and capital accounts; (iii) financial and balance sheet accounts; (iv) institutional arrangements, uses, and data sources; (v) recording COVID-19 related initiatives in the sequence of accounts.
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CEF webinar on national accounts
05 Jul 2021 – 08 Jul 2021
Source: IMF Metac (Data extracted on: 03 May 2022 )
Source: Eurostat (Data extracted on: 26 Oct 2021 )
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Organizer(s): Eurostat
Description: To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Statisticians dealing with compilation of annual energy statistics – advanced users of energy statistics. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: During this Global Network Webinar Samira Asma, William Msemburi, Bochen Cao, and Nelly Biondi from the World Health Organization (WHO) will present the World Health Statistics report 2021: The World Health Statistics report is WHO’s annual ‘state of the world’s health’ assessment with the latest data on more than 50 health-related Sustainable Development Goal and “triple billion” target indicators. The 2021 edition was published in May and presents the latest data and trends for life expectancy, mortality and burden of disease at global and regional levels. It also includes preliminary estimates for global excess deaths attributable to COVID-19 for 2020 with a focus on health inequalities and data gaps that have been accentuated by the pandemic. In this webinar, our speakers will explore the stories behind the data and highlight key findings. Explore the SDG indicators data sets, read the visual summary, and learn about the impact of COVID-19 on global health goals.
Description: This webinar is the first in a series of regional seminars within the framework of the updating process of the System National Account (SNA) and Balance of Payments Manual (BPM) and is organized by the United Nations Statistics Division (UNSD), in collaboration with the Commission. Economic for...
Description: As many countries have turned their attention to the estimation of poverty at the subnational level, this webinar aims to discuss practical aspects of poverty mapping.
Description: Improving evidence-based health outcomes depends on data that is available, timely, actionable and reliable. Health data needs to be collected, stored, shared transparently and analysed based on the foundations of strong data governance. The momentum for health data being a Global Public Good requires: i) consensus building, ii) investment (technical, regulatory and policy), iii) implementation (training and capacity building), and iv) multi-sectoral partnerships that include citizen science. The World Health Organization and partners will build on this momentum for greater…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The Federal Statistical Office (FSO) of Switzerland together with the United Nations Statistics Division (UNSD) and Facebook are organizing a webinar on the topic of Data Science and Official Statistics. FSO recently established a Data Science Competence Centre which will benefit all government departments of Switzerland, while UNSD has been supporting the UN Committee of Experts on Big Data and Data Science for Official Statistics since 2014. Facebook uses Data Science in developing market strategy, but also to support a large Open Source community, called PyTorch, which has developed a machine learning framework that accelerates the path from research prototyping to production deployment.
Title in Spanish: Seminario web sobre el Sistema de Cuentas Nacionales - Hacia el SCN 2025
Organizer(s): UNSD ECLAC
Description: Este seminario web es el primero de una serie de seminarios regionales en el marco del proceso de actualización del Sistema de Cuentas nacionales (SCN) 2008, y son organizados por la División de Estadística de las Naciones Unidas (UNSD), en colaboración con la Comisión Económica para América Latina y el Caribe (CEPAL).
Description: SESRIC will organise a Workshop on ‘Use of Administrative Registers for Population and Housing Censuses’ in collaboration with the United Nations Statistics Division (UNSD) on 29-30 June 2021 through a video conferencing platform with the participation of NSOs of OIC member countries. The Workshop aims to focus on key considerations and requirements for transitioning from traditional census to alternative census methodologies involving the use of administrative registers and building institutional capacity and infrastructure for maintaining statistical registers for successful implementation of population and housing censuses. The Workshop will cover the following topics: Necessary conditions for the use of administrative registers for population and housing censuses Establishing base registers for transitioning to a combined or register-based census Building comprehensive and reliable statistical registers for censuses and for combining with survey data Evaluation of the quality of data and communication with register-owners to improve the quality Documents: Concept Note (English) (Arabic) (French)
Description: This course will provide a comprehensive introduction to cure models, including basics of the cure models as well as many recent developments related to the methodological issues and software implementations of cure models for right-censored time-to-event data subject to non-informative censoring. The course will feature real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. Applications of cure models in other disciplines will be discussed. This course will be useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications.
Target Audience: This course should appeal to a broad audience, including statisticians and graduate students in statistics/biostatistics as well as clinician-scientists, health researchers, health policymakers, and researchers in cancer research and the biopharmaceutical industry who have a good understanding of the basics of biostatistics. Graduate students in epidemiology, public health, and management who have strong training in biostatistics can also be benefited from this course.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The content produced by a statistical organisation is essentially facts and figures. This course will explain how you can translate it to a more understandable and simple way and reach everybody outside the statistical world. Writing in a clear, concise and simple manner while avoiding statistical jargon.
Target Audience: Staff drafting /writing statistical texts and articles for publications, the web or any other type of product. Staff working in the communication/dissemination/press departments with the role of promoting the widest possible dissemination and use of official statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): UNSD UNEP GEO BON Secretariat of the Convention on Biological Diversity
Description: The Secretariat of the Convention on Biological Diversity, the Group on Earth Observations Biodiversity Observation Network (GEO BON), the United Nations Statistics Division (UNSD) and United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with the UN Regional Commissions are organizing a series of webinars to increase the understanding of the monitoring framework of the post 2020 Global Biodiversity Framework (GBF), to foster collaboration between national statistical offices, Parties to the CBD and experts in the biological sciences for its operationalization and to discuss the current activities and technical aspects of implementation of the GBF monitoring framework at the global and national level. Currently, the GBF monitoring framework is being developed for adoption at the Convention of Parties of the CBD. This will be a major enhancement in the review mechanism for the Convention as compared to the Aichi Framework in which indicators were not an official component of the framework. Analysis of the failure to achieve the Aichi Biodiversity Targets has identified a number of deficiencies. However, perhaps the most significant failing has been the lack of implementation support and enabling conditions at the national scale, particularly the implementation of data-to-indicator workflows that help streamline the monitoring of the impact of conservation actions in target achievements. Parties to the CBD have struggled, in many cases, to easily and effectively track and guide progress to national targets due to their limited access to user-friendly indicator methodologies and the reliable data needed for these indicators. The current monitoring framework proposal for the GBF addresses some of these challenges by providing guidance so that Parties can easily identify appropriate indicators (i.e. Headline, Component and Detailed Indicators) for the different targets. However, further guidance will be needed for the sustained production, delivery and use of biodiversity indicators. The adoption of the System of Environmental-Economic Accounting – Ecosystem Accounting (SEEA EA) at the 52nd Session of the UN Statistical Commission in March 2021 marks an important milestone for measuring ecosystem extent, condition and services in physical and monetary terms in a consistent manner. The SEEA EA allows to make the contribution of ecosystems to the economy and well-being explicit and for this reason it represents an historic step forward for measuring the Sustainable Development Goals and moving beyond GDP in tracking global progress. The contribution of the SEEA EA and the statistical community to the post-2020 GBF and mainstreaming biodiversity in the national statistical system have been recognized both by the statistical as well as the biodiversity community. According to the Global Assessment of Environmental Economic Accounting and supporting statistics undertaken by UNSD, 34 countries are implementing the SEEA EA and the demand for support in compiling these accounts is rapidly increasing. An implementation strategy to scale up the implementation of the SEEA EA will be submitted to the Statistical Commission in March 2022. The GEO BON network, comprising over 200 organizations and over 1,700 experts on the delivery of effective biodiversity observations, has advanced in the conceptualization and operationalization of the Essential Biodiversity Variables (EBV), defined as a set of metrics capable of measuring state of species, populations, or ecosystems and used as a common basis for the calculation of indicators measuring biodiversity and ecosystem change. Furthermore, GEO BON has supported the establishment of 25 biodiversity observation networks (BONs) representing national, regional and thematic groups covering marine and terrestrial systems that coordinate biodiversity monitoring and supporting development of EBV, data use and sharing. GEO BON partners have been piloting the development of data to indicator workflows at the national scale (in SE Asia, Tropical Andes, Caribbean, Arctic and sub-Saharan Africa) that produce a repeatable and continuous approach to indicator development that integrates national data holdings with extra-national sources (e.g. remotely sensed data). Considering the development of EBV, BONs and Biodiversity Change indicators endorsed by GEOBON, and recent adoption of the SEEA EA and their relevance to the GBF, this webinar series will bring together relevant stakeholders from the CBD Parties, scientific communities and statistical communities to advance a shared understanding and have an initial discussion on implementing the GBF Monitoring Framework. The high-level regional webinars will be conducted according to the official language or the region. The webinars are scheduled for following date and time. Invited countries, organizations and experts will receive a link for online registration. Registered participants will receive the connection links for the webinars.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: This training introduces key analytical tools for the appraisal of projects, policies, programmes and regulations. Attention will be paid to the conceptual framework for appraisal with particular reference to methods used to value non-market impacts. Given that these tools are increasingly being used in actual policy formulation by, for example, national governments and international development agencies, a range of applications will be drawn upon.
Target Audience: Official statisticians (including managers and junior statisticians), needing basic knowledge on how data can inform policy design, analysis and evaluation. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a Webinar on ‘Foreign Direct Investment (FDI) Statistics in OIC Countries’ on 28 June 2021 in collaboration with the United Nations Conference on Trade and Development (UNCTAD) with the participation of official statisticians working in National Statistical Offices (NSOs) and Central Banks of the OIC countries. The main objective of the Webinar is to raise awareness about the internationally accepted standards and guidelines regarding the compilation of data on FDI and activities of multinational enterprises (MNEs) as well as the latest methodologies and recent trends on FDI statistics which will pave the way to strengthen and improve the statistical capacities of OIC countries in the area of collection, compilation, processing, and dissemination of statistics on FDI and activities of MNEs. The Webinar aims to achieve the following related to FDI statistics: Understanding and reporting global and regional FDI trends and prospects; FDI concepts, definitions and measurement; Collecting FDI and MNE data; Foreign Affiliates Statistics (FATS); and Update of the Sixth Edition of the IMF Balance of Payments and International Investment Position Manual (BPM6) The Webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Webinar Documents: Concept Note and Agenda (English) Survey on FDI Statistics in OIC Countries (English)
Description: Evidence-based medicine relies on using data to provide recommendations for effective treatment or prevention decisions. However, in many settings, effects may be heterogeneous across individuals, and within individuals over time. Healthcare providers are faced with the daunting task of making sequential therapeutic decisions having seen few patients with a given clinical history. Adaptive treatment strategies (ATS) operationalize the sequential decision-making process in the precision medicine paradigm, offering statisticians principled estimation tools that can be used to incorporate patient’s characteristics into a clinical decision-making framework so as to adapt the type, dosage or timing of intervention according to patients’ evolving needs.
Target Audience: Statisticians familiar with regression methods.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The course is an introduction to effectively communicating, to general audiences, complex statistical modelling and estimation related to Covid-19 data. The instruction will be at a beginner level. The 6 hours course is split in 2 days and will cover “Basics of effective communication to a general audience” on day 1 and “Introduction to estimation and modelling of covid-19 data: prevalence, incidence, epi-curves, transmissibility and reproduction numbers” on day 2. Classes will include stop&go discussion upon broadcasting of video-recorded interviews with experts and professionals in media monitoring and communication of health data. A student assignment is scheduled at the end of day 1 lessons with feedback on day 2 for shared learning.
Target Audience: Students, early career researchers and professionals with basic background in statistics and at beginner level in epidemiology.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): UNSD UNICEF Global Partnership for Sustainable Development Data NBS Kenya Societal Platform AARP
Description: The 2030 Agenda for Sustainable Development emphasizes the inclusion of the marginalized population in its implementation. This requires that development efforts cover all segments of the society, including the hard-to-count populations for whom there is either a perceived or real barrier for representative inclusion in the data collection process. Hard-to-count populations such as those that are hard to locate, contact, or interview may not be captured in large-scale data collection processes such as censuses, surveys and administrative data sources. National Statistics Offices and partner organizations use various strategies and methodologies for inclusion of these population groups. For example, deploying service-based enumeration to collect data on homelessness, partnering with organizations to reach migrant populations who may have the fear of being counted or the use of distance learning technology to monitor the educational attainment of remote rural communities. This webinar, part of the UN World Data Forum series, will bring together various actors to: Share experiences in using innovative methods to capture hard-to-count populations; Showcase successful partnerships between governments, civil society and international organizations to capture these population groups.
Description: (Newsletter: CRVS Insight June 2021) The World Health Organization, UNICEF and Vital Strategies are pleased to announce an upcoming webinar on health sector best practices for engaging and improving coverage and inclusion for birth and death registration. Insight readers are invited to join the live discussion on 23 June 2021 from 8 a.m.–9:30 a.m. (New York) focused on the importance of CRVS systems for individuals and countries. The event will highlight country case studies of inspiring leadership, sound governance and coordination and their role in reinforcing linkages with health systems to ensure that every birth and every death is registered and counted. More information on the event including how to register can be found here.
Description: Success in data science and statistics is dependent on the development of both analytical and computational skills, and the demand for educators who are proficient at teaching both these skills is growing. The goal of this workshop is to equip educators with concrete information on content, workflows, and infrastructure for painlessly introducing modern computation with R and RStudio within a data science curriculum. In addition to gaining technical knowledge, participants will engage in discussion around the decisions that go into developing a data science curriculum and choosing workflows and infrastructure that best support the curriculum and allow for scalability. Workshop attendees will work through several exercises from existing courses and get first-hand experience with using relevant tool-chains and techniques, including running a course on RStudio Cloud, and literate programming with R Markdown, and workflows for collaboration, version control, and automated feedback with Git/GitHub. We will also discuss best practices for configuring and deploying classroom infrastructures to support these tools.
Target Audience: This workshop is aimed primarily at participants teaching data science in an academic setting in semester-long courses, however much of the information and tooling we introduce is applicable for shorter teaching experiences like workshops and bootcamps as well. Basic knowledge of R is assumed and familiarity with Git is preferred.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This short course offers instructor-led and hands-on training in basketball analytics for students, young statisticians, and sports professionals. It provides the understanding of the concepts of basketball data science, by covering basic statistics tools and advanced methods of data analysis, as discussed in the book Basketball Data Science – with Applications in R by P. Zuccolotto and M. Manisera (2020) and using the R package BasketballAnalyzeR. Real examples from NBA data are shown and small exercises are assigned to students.
Target Audience: Young statisticians, young researchers in sport statistics, students with basic knowledge of statistics and R language, sports professionals with basic knowledge of statistics and R language. Prerequisites: Basic knowledge of statistics and R language.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: We begin with a graphical approach to bootstrapping and permutation testing, illuminating basic statistical concepts of standard errors, confidence intervals, p-values and significance tests. We consider a variety of statistics (mean, trimmed mean, regression, etc.), and a number of sampling situations (one-sample, two-sample, stratified, finite-population), stressing the common techniques that apply in these situations. We’ll look at applications from a variety of fields, including telecommunications, finance, and biopharm. These methods let us do confidence intervals and hypothesis tests when formulas are not available, so we can do better statistics, e.g. use robust methods like medians, trimmed means, or robust regression. They can help clients understand statistical variability. And some of the methods are more accurate than standard methods.
Target Audience: Practicing statisticians and students. This is not a highly technical course.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The African Centre for Statistics (ACS) of the United Nations Economic Commission for Africa (ECA), in collaboration with the United Nations Statistics Division (UNSD) will organize a regional seminar on System of National Accounts (SNA) Update Programme on 17 June 2021. The main objective of this seminar is to inform Member States the status and the process of updating the System of National Accounts (SNA), the scope of the research under development, and the experimental implementation component of the new methodological guidelines at the country level. Staff who work in the area of national accounts and other economic statistics of national statistical offices of member States, as well as sub-regional and regional organizations will participate in the regional seminar. On-line registration to participate in the meeting can be made by using the hyperlink provided below until 14 June 2021: https://events.uneca.org/registration/register?eventId=7a45b1df-24c2-eb11-80ef-0050569360fe
Description: This course, presented by the Statistics Department, teaches you how to compile timely, high quality national accounts statistics based on the system of national accounts (SNA) framework. The course introduces the sequence of national accounts, the accounting rules, and the key macroeconomic indicators in the SNA framework. You will learn about gross domestic product (GDP) - the main aggregate of the system, and how to compile consistent and internationally comparable measures of GDP according to the production, income, and expenditure approaches. The course also discusses in detail, how the SNA can be used to track an economy's production, consumption, and income and how to estimate volume measures of GDP.
Target Audience: Professionals who are involved in Regularization of land; municipalities and other local governments, private companies and any other interested person.
Description: Custodian agencies of SDG indicator 16.4.1, “Total value of inward and outward illicit financial flows (IFFs), in current United States dollars”, the United Nations Conference on Trade and Development (UNCTAD) and United Nations Office for Drugs and Crime (UNODC), released a Conceptual Framework for the Statistical Measurement of Illicit Financial Flows in October 2020. In May 2021, UNCTAD finalized a draft of Methodological Guidelines to Measure Tax and Commercial IFFs for pilot testing, aimed at statistical and other national authorities with a mandate to collect and access relevant information. UNODC are finalising the Guidelines to measure IFFs from extractive activities and illegal drugs markets. After a call for expression of interest in Africa in February 2021, the following countries participate in pilot testing of the measurement of IFFs: Angola, Benin, Burkina Faso, Cameroon, Gabon, Ghana, Mozambique, Namibia, Nigeria, Senegal, and South Africa. A kick-off workshop with national experts and stakeholders from institutions and agencies in African pilot countries is being organized to present and discuss implementation of activities related to the measurement of IFFs in Africa; introduce the participants to the concepts and definition of IFFs as included in the UNCTAD-UNODC Conceptual framework for the statistical measurement of IFF; and present the methodologies and guidelines developed so far by UNCTAD and UNODC. The expected outcome of the meeting is to get a clear understanding of country needs, data gaps and steps needed to pilot the new IFFs methodology. 16th June 2021 17th June 2021
Description: This 2-day virtual course is based on the Data Science and Predictive Analytics (DSPA) course that the instructor teaches at the University of Michigan. The training will provide intermediate to advanced learners with a solid data science foundation to address challenges related to collecting, managing, processing, interrogating, analyzing and interpreting complex health and biomedical datasets using R. Participants will gain skills and acquire a tool-chest of methods, software tools, and protocols that can be applied to a broad spectrum of Big Data problems. Before diving into the mathematical algorithms, statistical computing methods, software tools, and health analytics, we will discuss a number of driving motivational problems. These will ground all the subsequent scientific discussions, data modeling, and computational approaches. The training will involve active-learning and integrate driving motivational challenges with mathematical foundations, computational statistics, and modern scientific inference. Building on open-science principles, training will focus on effective, reliable, reproducible, and transformative data-driven discovery. Trainees will develop scientific intuition, computational skills, and data-wrangling abilities to tackle Big biomedical and advanced health data problems. The instructor will provide well-documented R-scripts and software recipes implementing atomic data-filters, as well as complex end-to-end predictive big data analytics solutions.
Target Audience: Intermediate to advanced level learners, e.g., graduate students, postdocs, fellows, data science practitioners, engineers, mathematical modelers, (technology) team leaders, health analysts. The prerequisites incluyde some college-level quantitative training.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Title in Arabic: دورة متقدمة في أساليب تقدير المناطق الصغيرة
Organizer(s): AITRS ESCWA UNFPA
Description: زاد الطلب، من القطاع العام والقطاع الخاص، على التقديرات الموثوقة للمجالات الصغيرة إلى حدٍ كبير في جميع أنحاء العالم. وهذا يرجع إلى إستخدامها المتزايد في صياغة السياسات والبرامج وتخصيص الأموال الحكومية والتخطيط الإقليمي. تقدير المنطقة الصغيرة هو مجال بحث في الإحصاءات الرسمية والإحصاءات المسحية ذات أهمية عملية كبيرة للمعاهد الإحصائية الوطنية والمنظمات ذات الصلة. على الرغم من التطورات السريعة في المنهجية والبرمجيات، وسوف يستفيد الباحثون والمستخدمون من وجود إرشادات عملية تساعد في عملية تقدير المجالات الصغيرة. تقدير المناطق الصغيرة كان ولا يزال في الغالب مجالًاً خصبًا جدًا للبحث الأكاديمي في الإحصاءات الرسمية مع مساهمات نظرية وتطبيقية مهمة. في العقد الماضي وبشكل متزايد تم الإعتراف والإدراك لدى العديد من المعاهد الإحصائية الوطنية والمنظمات الأخرى في جميع أنحاء العالم بأهمية إنتاج إحصاءات المجالات الصغيرة. ومن الأمثلة على ذلك، مكتب الإحصاء الأمريكي، والبنك الدولي، ومكتب المملكة المتحدة للإحصاءات الوطنية، والمكتب الإحصائي لإيطاليا، وغيرها. هذا الإهتمام ساهم في تكوين مجموعات بحثية في علم تقدير المناطق الصغيرة من خلال تطوير منهجيات وأدوات حسابية جديدة متاحة للإستخدام العام.
Description: SESRIC, in its capacity as the Secretariat of OIC Statistical Commission (OIC-StatCom), will organise a Workshop on ‘Coordination within the National Statistical Systems (NSSs)’ in collaboration with the United Nations Statistics Division (UNSD), Partnership in Statistics for Development in the 21st Century (PARIS21), and United Nations Economic Commission for Europe (UNECE) on 15-17 June 2021 through a video conferencing platform with the participation of NSOs of OIC countries and relevant international organisations. Organised within the framework of the Programme of Action 2021-2025 of the OIC-StatCom Strategic Vision for 2030, the Workshop has the objective to facilitate the sharing of good practices among the OIC countries and learning from the potential challenges needed be taken into consideration for efficient and effective coordination within the NSSs of OIC countries. The Workshop will cover the following topics: Official Statistics and NSS: Main Concepts and Principles Leadership and Coordination within the NSS Coordination within the NSSs: Why and How? Data Stewardship: Data Governance beyond the NSSs Country Experiences on Coordination within the NSSs and Data Stewardship Documents: Concept Note (English) (Arabic) (French)
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at providing a sound knowledge on the elaboration and use of statistics on: trade in goods, services, travel, financial flows, trade in value added, use of bop and IIP statistics.
Target Audience: Staff members in the field of National Accounts (NA) and Balance of Payment (BoP) departments in National Statistical Offices and National Banks. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 11 Aug 2021 )
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Organizer(s): Eurostat Bank of Italy
Description: Objectives: * To improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * To examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP). Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Description: This course describes nonparametric regression, including the additive model and its generalizations, also the LASSO, and LARS. Then it proceeds to classification (SVMs, random forests, boosting). The Curse of Dimensionality is described in both contexts. Bagging and stacking are covered. There is some coverage of cluster analysis, and some text analytics. The emphasis is upon the strengths and weaknesses of the tools, and guidance on when a particular method should be used.
Target Audience: People who are familiar with multiple linear regression. I expect someone who got a MS in statistics ten years ago would be a good fit. People with stronger backgrounds will still benefit, and probably acquire deeper insights.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Statistical business registers (SBRs) have been a core feature in many countries' national statistical systems. Statistical business registers come in many shapes and sizes, but ultimately serve as a repository of data on enterprises from various data sources for use in statistical purposes. Developing SBRs that can respond to disruptive shifts in the economy requires long-term strategic planning and continued commitments from the National Statistics Office (NSO) and their data providers. Enhancing the relevance of SBRs hinges on improving its timeliness and coverage, and increasing capacity to be integrated with administrative systems and other statistical infrastructure. , Stats Café Home: Upcoming events Concluded events
Description: Employment impact assessment is key to increase the effectiveness of policies intended to promote decent jobs. To anticipate the impact of economic disruptions on employment or to measure the ex-post effects of interventions on jobs provides the evidence needed to improve the design and implementation of policies. In times of crisis as the one the world is currently facing, the importance of timely and accurate assessment is stronger than ever. In close collaboration with the Employment Policy Department of the ILO, the ITCILO is offering this course in an innovative e-learning format. Join us to learn how to assess the impacts of policies on employment, flexibly and without needing to travel!
Target Audience: This course will be of particular interest to: - government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; - the staff of programme-management teams from private-sector entities, nongovernmental organizations and community-based organizations; - the operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge, as well as the methodological guidelines for the use of the Energy Balance Builder and SHARES tools in relation to the statistics collected within the European Union legal framework (Annex B of Regulation (EC) No 1099/2008 on energy statistics and Directive 2009/28/EC on the promotion of the use of energy from renewable sources). The main focus will be on methodology, concepts and definitions, calculations and discussions on these tools. Practical examples of the use of these tools will be also covered during the training.
Target Audience: Statisticians dealing with compilation of annual energy balances and the calculation of the share of energy from renewable sources wishing to understand better the system and overall framework of the energy statistics tools used for these purposes. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The short course will introduce basic and advanced concepts of statistical disclosure control, privacy and confidentiality. The topics covered include: 1) introduction to statistical disclosure control, disclosure risk scenarios and types of disclosure risks; 2) measuring disclosure risk for traditional outputs: microdata and tabular data; 3) common statistical disclosure control methods and their impact on data quality and utility. In addition, we introduce a new definition for confidentiality protection called differential privacy which was developed by computer scientists. Differential privacy is a mathematical rigorous definition of a perturbation mechanism that provides formal and quantifiable guarantees of confidentiality. We discuss how differential privacy can be used in the statistical disclosure control tool-kit at statistical agencies as they move towards more advanced, open and flexible modes of data dissemination.
Target Audience: For persons interested in statistical data dissemination, typically based at statistical agencies and organisations, government agencies, national statistical institutes.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: During this Global Network Webinar, we were happy to have Andrew Trask from OpenMinded, who provided A Tutorial on Remote Data Science. The presentation walked through the main tools (federated learning, differential privacy, etc.) for remote data science, their current state of maturity, and opinions on where these tools will take our society in the next five years. These tools offer the promise of instant, safe, privacy-preserving access to data across every organization with data relevant to your problem.
Organizer(s): SESRIC ESCWA Statistics Indonesia DOS Jordan DOSM Malaysia NCSI Oman Statistics Saudi Arabia TurkStat Türkiye
Description: Within the framework of its Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘Big Data Applications and Utilising Non-Traditional Data Sources and Methods for Official Statistics’ in collaboration with National Statistical Offices (NSOs) of Indonesia, Jordan, Malaysia, Oman, Saudi Arabia, Turkey, and the Statistics Division of the United Nations Economic and Social Commission for Western Asia (UNESCWA) on 10 June 2021 with the participation of NSOs of OIC countries. The objective of the webinar is to share experiences in the development and/or use of big data applications and utilising non-traditional data sources and methods for official statistics. The webinar will cover the following topics: Opportunities and challenges of using non-traditional data sources, particularly big data, for official statistics; and Concrete big data applications of the OIC countries including the use of non-traditional data sources and methods such as satellite imagery data, mobile phone data, scanner data, Automated Identification System (AIS) vessel tracking data, earth observation data, machine learning, and others. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
Organizer(s): FAO University of Buenos Aires Argentina
Description: Organized by the University of Buenos Aires within the framework of the Diploma in Sustainability in the Food Industry, this lecture will discuss "Measuring and Monitoring Sustainable Agriculture". Virtual lecture with Arbab Asfandiyar Khan, co-Focal Point for SDG indicator 2.4.1, FAO Statistics Division. The lecture will be held in English, with simultaneous interpretation in Spanish. Register and obtain a free certificate. Access the recording here (in Spanish).
Target Audience: Professionals who are involved in Regularization of land; municipalities and other local governments, private companies and any other interested person.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). It’s an overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The purpose of this course is to increase cooperation in the ESS with a common understanding of the PM² methodology. It will equip the participants with the competences required to be effective when managing projects. They will also learn about the essential concepts and challenges related to project management. More specifically, this course will enable to: * Explain the value of project management; * Present the PM² methodology essentials; * Develop a common vocabulary and understanding in the ESS regarding project management; * Understand the project organisation, governance and lifecycle; * Develop essential skills for managing projects effectively; * Improve the effectiveness and quality of cooperation in the ESS with a common understanding of the PM² methodology.
Target Audience: * Project managers from ESS Member States, with practical experience or some theoretical knowledge about project management. * Staff involved in ESS projects are particularly encouraged to attend ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Participants will understand different quality concepts, European Statistical System (ESS) quality criteria, the European Statistics Code of Practice and its Common Quality Framework and know how to apply methods to measure quality concepts.
Target Audience: Employees of national statistical agencies involved in quality management, measurement and reporting. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat EFTA
Description: The main objectives of the course are: * Introduce the GSBPM and how it applies to quality control in NSI’s; * Introduce R and its basic functions; * Present how R can be used within NSI’s for processing, analyzing and creating output for users; * Introduce the tidyverse and how it can be used for data wrangling; * Present ggplot and how it can be used to produce graphs; * Introduce Rmarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: The course will introduce the theoretical and practical knowledge of energy statistics in relation to the European Union legal framework (Annex B of Regulation (EC) No 1099/2008 on energy statistics). The main focus will be on concepts and definitions of energy statistics, discussions on annual questionnaires. The course will explore the European perspective within the international methodology concepts of energy statistics.
Target Audience: Statisticians dealing with compilation of annual energy statistics and wishing to understand better the system and overall framework of energy statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This course covers foundation and recent advances of deep neural networks (DNNs) from the point of view of statistical theory. Understanding the power of DNNs theoretically is arguably one of the greatest problems in machine learning. During the last decades DNNs have made rapid process in various machine learning tasks like image and speech recognition and game intelligence. Unfortunately, little is yet known about why this method is so successful in practical applications. Recently, there are different research topics to also prove the power of DNNs from a theoretical point of view. From an aspect of statistical theory, several results could already show good convergence results for DNNs in learning different function classes. The course is roughly divided into two parts. In the first part, DNNs are introduced and different network architectures are discussed. In the second part, we focus on the statistical theory of DNNs. Here we will introduce frameworks addressing two key puzzles of DNNs: approximation theory, where we gain insights in the approximation properties of DNNs in terms of network depth and width for various function classes and generalization, where we analyze the rate of convergence for both, regression and classification problems.
Target Audience: PhD students and researchers in the area of mathematics/statistics/computer science.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: To improve the theoretical and practical knowledge related to the collection, transmission, validation and aggregation of official water statistics. The main focus will be on different data sources and the complementarities of different direct and indirect methods such as measurements, surveys, models and estimations. The description of the respective strengths and weaknesses with special attention to data quality should thus result in an enhancement of the comparability between water statistics from countries using different methods. The courses shall also provide a platform and starting point for cooperation in method development among the countries. The aim of the courses is to explore possible ways of avoiding inconsistencies in the European water statistics and to obtain a more effective statistics production.
Target Audience: Staff involved in the production of official water statistics and other quantitative information under Union law on water. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: UN Women (Data extracted on: 03 Jun 2021 )
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Organizer(s): UN Women ECA AfDB
Description: Time-use surveys (TUS) measure the average amount of time people spend on various activities, such as unpaid household chores and family care, self-care, social life, leisure activities, and so on. More specifically, TUS are the main statistical sources for data used to calculate SDG indicator 5.4.1: Proportion of time spent on unpaid domestic and care work, by sex, age and location. TUS are critical tools to measure the value of household production and its contribution to the overall socio-economic welfare in any given country. Their granularity associated with disaggregated analyses (sex, location, age) can inform a wide range of policies, from market-based caregiving services to work-life balance and quality of life. This training workshop covers the introductory notions and basics of producing, analysing and disseminating time-use data as well as their policy relevance for gender equality.
Description: In this short course, you will learn to read and reshape a dataset from the World Bank, filter observations and select variables to produce an analysis data set and finally to produce figures. Customizing, enhancing and annotating data visualizations follows. R software with be used with functions included the tidyverse suite of packages being highlighted (dplyr, tidyr and ggplot2 in particular).
Target Audience: General audience. Some exposure to using R is recommended although not strictly required.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘Motor Vehicles, Traffic Volume and Road Traffic Accidents Statistics’ on 3 June 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on the SESRIC Statistical Experience Sharing Webinar Series, please visit: http://www.oicstatcom.org/webinar-series.php
Description: In order to successfully address and mitigate the current infodemic and promote more effective future response, the World Health Organization (WHO) is organizing the 2nd Infodemic Management Training. From physics to law to behavioral science to epidemiology to user experience and design — it is clear that an infodemic manager would need a wider array of skills and expertise to successfully address infodemics that go beyond traditional boundaries of epidemiology, risk communication and community engagement and digital media. The training…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Large and innovative spatial data are now ubiquitous across science and engineering ranging from the microscale properties of 3D printed materials to the exposure of populations to pollutants to the global views of our planet from satellites. The challenge to statistical science is to adapt methods from geostatistics to these new problems. Large data sets break traditional spatial methods and multivariate spatial data are not well modeled by classical approaches. This course will provide a hands-on and modern introduction to spatial data, followed by methods for large and nonstationary data and models for multivariate processes. It will be taught by active researchers in this area who have contributed to theory, new methods, and maintain software that makes spatial data analysis easy and accessible.
Target Audience: We seek to reach graduate students who are interested in challenging data problems to motivate new research topics or to enlarge their toolbox of statistical methods. This course is also a cogent overview for the faculty member who is always been curious what spatial statistics is all about. Finally, this course is for data scientists who would like to see the use of statistics for drawing inferences and quantifying uncertainty for spatial data as opposed to just forming prediction.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 01 Jul 2021 )
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Organizer(s): Eurostat GOPA
Description: Drawing from work done in the past few years in the context of Large Case Units and European Profiling, and to support the ongoing move to a more systematic and coordinated approach to globalisation-related activities in the ESS, this course should support managers/statisticians involved in business/macroeconomic and globalisation statistics growing need to understand well and interact successfully with multinational enterprise groups (MNEs) operating in Europe. The course will aim at providing the participants with an improved statistical skillset to tackle Multinational Enterprise Groups issues, including: * A better understanding of the MNEs structure, organization and activities; * A better understanding MNEs accounting and reporting concepts and standards; * Searching and using financial information on MNEs.
Target Audience: Managers and statisticians fully or partially involved in the domain of business statistics, macroeconomics and globalisation statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: تعتبر برمجية R من بين أهم البرمجيات المتوفرة حاليا التي تستعمل في معالجة البيانات الضخمة وهي الاكثر استعمالا في الوقت الحالي بالنظر لما توفره من خاصيات فنية وسهولة الاستعمال وجودة النتائج المستخرجة، بالاضافة الى انها مجانية ومصدر مفتوح للجميع. فبرمجية R هي لغة ونظام مترابط لإجراء العمليات الإحصائية والأشكال البيانية وتوفر أساليب إحصائية وبيانية مختلفة (النماذج الخطية وغير الخطية، الاختبارات الإحصائية الكلاسيكية، تحليل السلاسل الزمنية، التبويب، العنقدة، ...الخ). لذلك، سيعمل المعهد على تخصيص وقتا كافيا لتدريب المشاركين في الدورات على التمكن من التعامل مع هذه البرمجية بسهولة وسلاسة بهدف معالجة البيانات الضخمة وتحليلها والرفع من قدرة الاجهزة الاحصائية العربية على استعمال المصادر الجديدة للبيانات والاستفادة منها قدر الامكان.
Description: During this Global Network Webinar Craig Burgess and Mwenya Kasonde from the UN World Health Organization (WHO) and Hellen Kiarie from the Ministry of Health in Kenya presented the Health Data Collaborative: The Health Data Collaborative (HDC) is a UHC2030 related initiative that has three objectives: 1. To strengthen country Health information Systems; 2. To align partner resources with country identified data and digital priorities; and 3. To contextualize and adapt global data and digital tools with country and local contexts. The HDC was launched in March 2016, based on foundational concepts from the International Health Partnership (IHP+) 2010-2015 political commitment, following a 2015 high-level summit on Measurement and Accountability for Results in Health. This is focused on support for data efforts for the SDGs, including communities left behind. The HDC currently supports 11 countries (Malawi, Uganda, Kenya, Cameroon, Tanzania, Botswana, Zambia, Nepal, Bangladesh, Indonesia, and Myanmar) and HDC partners are represented in 7 constituencies: i) countries, ii) multilaterals, iii) bilateral donors and philanthropic institutions, iv) global health initiatives, v) research, academia and technical networks, vi) civil society and vii) private sector. Membership has rapidly increased over the last year. The HDC Secretariat is hosted by WHO (with staffing from WHO and UNICEF) and helps convene and facilitate dialogue between various UN agency and partner technical initiatives to provide support at country, regional and global levels. The HDC plays a knowledge broker role, helping to disseminate information and best practices from different data and digital initiatives, including specific webinar sessions. In this Global Network Webinar our speakers gave an update of the HDC, provided country perspectives on the HDC, and outlined the added value of the HDC and opportunities for alignment towards common Sustainable Development Goals.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘Measurement Methods for SDG 11 and the New Urban Agenda in the OIC Countries’ 31 May 2021 in collaboration with the United Nations Human Settlements Programme (UN-HABITAT) and United Nations Economic and Social Commission for Western Asia (UN-ESCWA) with the participation of official statisticians working in National Statistical Offices (NSOs) of the OIC countries. The main objective of the Webinar is to introduce to the participants the SDG 11 (Making Cities and Human Settlements Inclusive, Safe, Resilient and Sustainable) and the New Urban Agenda (NUA) monitoring frameworks, their measurement approaches as well as tools to aid in the computation of the relevant indicators. The Webinar aims to achieve the following related to SDG 11 indicators: Introduce the SDG 11 and the NUA targets, indicators and monitoring framework; Share experiences in urban reporting and dissemination of urban indicators; Introduce the Global Urban Monitoring framework, the urban observatory model and the National Sample of Cities concept as useful tools for the urban agenda monitoring; and Discuss challenges on urban monitoring at national and local levels in the OIC countries. During the Webinar, SESRIC will brief the participants on the outcomes of the questionnaire on the human settlements / population indicators to monitor and report on SDG 11. The Webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Webinar Documents: Concept Note and Agenda (English) (Arabic) (French) Questionnaire on Human Settlements / Population Indicators to Monitor and Report on SDG 11 (English) (Arabic) (French)
Description: Recurrent event data arise when the event of interest can recur in the same individual during follow-up. Some examples of recurrent events include sequences of hospital admissions, infection episodes, and tumor recurrences. Standard survival analysis methods that focus only on time to the first event cannot capture the cumulative experience of the recurrent events and could lead to invalid inferences. For this reason, the development of statistical methods that appropriately address the structure of recurrent events has attracted considerable attention. This short course introduces the R package reReg, which provides a collection of tools for exploratory analysis and nonparametric and semiparametric methods for analyzing recurrent event data.
Target Audience: This course’s intended audience includes researchers who want to gain basic exposure to analysing recurrent event data with the ultimate goal of incorporating R into their research programs.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: About the session Data and information play an ever-increasing role in our lives. It is important for all the people to produce quality data as well as using quality data. The literacy of statistics needs to be advanced. In particular, role of universities is significant. Their educational curriculums should cover producing quality data. Official statistics are an input in evidence-based policies and crucial for SDG monitoring. Considering the advances in official statistics as well as more broadly the advances in data science in the government, private sector and academia, it is important for universities to design official statistics course that foster collaboration between government, international organizations and universities. Official statistics course could cover key aspects of official statistics will enhance students’ view on official statistics as well as prepare those who pursue a career in government. Often there is a gap between what staff of National Statistical System has learned in their studies and what is needed to perform well in the official statistics setting. Key Items In this regard, the Stats Café provided an opportunity to bridge the gap between official statistics and university curriculum by inviting lecturers on statistics to discuss this topic. How are official statistics taught in universities? What kinds of support from governments, international agencies and other stakeholders will be helpful for teaching data and official statistics in universities? What kinds of elements should be included in the curriculum to ensure that students are better prepared to work for official statistics? , Stats Café Home: Upcoming events Concluded events
Description: This course will focus on methodological and practical issues in the scope of competing risks and multi-state models. Basic concepts, models, estimation algorithms and statistical software will be reviewed. Simulation exercises and real data analyses will be provided in order to enlighten the interpretation and to facilitate the understanding. Both nonparametric methods and semiparametric approaches will be considered. Some background in foundations of statistics and in parametric and nonparametric inference is required. Background in Survival Analysis (Kaplan-Meier estimation, Cox regression) is recommended. BSc or MSc in Statistics, Biostatistics or Mathematics is ideal.
Target Audience: PhD students and postgraduates in general.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
4th AMDN Webinar: Migration Environment and Climate Change in Africa: Using migration data to formulate policy responses
27 May 2021 – 27 May 2021
Source: IOM GMDAC (Data extracted on: 03 Jun 2021 )
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Organizer(s): IOM GMDAC
Description: Forced displacement is emerging as the human face of the climate crisis. There is broad global consensus that the impending climate crisis threatens sustainable development and could critically affect people, including through increased frequency and severity of extreme weather events, water scarcity, reduced crop yields, rising sea levels, and health and sanitation problems. In particular, the climate crisis is emerging as a key driver of forced displacement and migration. By 2050, it is estimated that more than 200 million people worldwide could be forced to leave their homes for climate-related reasons. A 2018 report by the Intergovernmental Panel on Climate Change (IPCC) warned that Africa will experience a rise in average temperatures faster than the global average during the 21st century. Africa, which population is projected to double to 2.5 billion people by 2050, will be profoundly affected by climate-forced mobility as its sheer scale could intensify competition over scarce natural resources and endanger peace, stability and prosperity in fragile situations throughout the continent. This could have serious implications on the evolution of African cities and villages. Accurate data on this type of migration for the entire continent is a prerequisite for assisting current and future climate migrants.
Description: As custodian agencies of SDG Indicator 16.4.1 on illicit financial flows, in 2020 UNODC and UNCTAD, together with ESCAP, inaugurated a new Development Account project called “Statistics and data for measuring illicit financial flows in the Asia-Pacific region”. The project is aimed at consolidating existing and testing new methodological guidelines for the measurement of this Indicator, as well as to build statistical capacity by providing technical assistance and guidance to pilot countries for the measurement of such indicator using the defined standards and concepts developed by UNCTAD and UNODC. After launching a call for expression of interest in Asia-Pacific region, the Partner Agencies selected six countries of Asia as pilot testing countries. These are Viet Nam, Bangladesh, Maldives, Nepal, focusing on crime-related illicit financial flows; and Kyrgyzstan and Uzbekistan, focusing on IFFs from illicit tax-related and commercial practices. The online Kick-off Workshop is structured around a general session and two breakout rooms - one room focusing on methodological guidelines and practical examples on measuring IFFs from crime and illegal market activities; and another breakout room focusing on illicit financial flows from illicit-tax related commercial practices. The meeting gathering experts and stakeholders from institutions and agencies of all pilot countries, provides the opportunity to present the UNCTAD-UNODC Conceptual framework for the statistical measurement of illicit financial flows (available in French, Spanish and Russian); introduce the methodologies and guidelines developed so far by UNODC and UNCTAD and discuss the project implementation strategy and workplan.
Description: Finite population sampling has found numerous applications in the past century. The validity of sampling inference of real populations derives from the known probability sampling design under which the sample is selected, “irrespectively of the unknown properties of the target population studied” (Neyman, 1934). This is the key theoretical justification for its universal applicability. Valued graph is a more powerful representation, which allows one to incorporate the connections among the population units in addition to the units on their own. The underlying structure is a graph given as a finite collection of nodes (units) and edges (connections). Attaching measures to the nodes and/or edges yields a valued graph. Many technological, socio-economic, biological phenomena exhibit a graph structure that may be the central interest of study, or the edges may provide effectively access to those nodes that are the primary targets. Either way, graph sampling is a statistical approach to study real graphs. Just like finite population sampling, it is universally applicable based on exploring the variation over all possible subgraphs (i.e. sample graphs), which can be taken from the given population graph, according to a specified method of sampling. Graph sampling thus encompasses finite population sampling, because any latter situation can be represented as a special case of the former. All the so-called “unconventional” finite population sampling techniques, such as indirect, network, adaptive cluster or line-intercept sampling, can be more effectively studied as special cases of graph sampling. Whereas snowball sampling and targeted random walk sampling are probabilistic versions of breadth- or depth-first non-exhaustive search algorithms in graphs. The course provides an introduction to the central concepts of graph sampling, the most common sampling methods, and the construction of graph sampling strategy. An emphasis is the extension from the traditional sampling strategy (finite population sampling, Horvitz-Thompson estimator) to a much more general strategy consisting of bipartite incidence graph sampling (BIGS) and incidence weighting estimator (IWE). The application of the BIGS-IWE strategy will be illustrated for all the aforementioned unconventional situations of finite population sampling, as well as the more complicated graph sampling situations such as snowball sampling and targeted random walk sampling.
Target Audience: Graduate students, statisticians at national statistical offices or other organisations working with sampling methods, data scientists interested in network analysis, graph mining or compression.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: World Bank (Data extracted on: 29 Sep 2021 )
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Organizer(s): World Bank
Description: World Development 2021: Data for Better Lives focuses on the potential of data to improve the lives of poor people, including through the creative use and re-use of data, and the essential elements of a data governance environment in the form of data infrastructure policy, the legal and regulatory framework, related economic policy implications, and institutional ecosystems. These diverse elements can be conceived of as the building blocks of a social contract that aims to deliver equitably on the potential benefits of data while safeguarding against harmful outcomes. In this Policy Research Talk, members of the World Development Report team will highlight research being done by World Bank staff that illustrates the potential to combine private and public intent data to yield timelier, more granular insights to confront policy challenges, as well as research findings from data quality experiments and assessments. The team will also present new data sources released in conjunction with the report describing (i) countries’ capacities to deliver both foundational data (census, administrative records, surveys of households, firms) and to leverage alternative data sources (citizen-generated, machine-generated, geospatial), and (ii) domestic laws, regulations, and administrative frameworks to promote fuller participation in the digital economy.
Organizer(s): Paris21 Afristat ONS United Kingdom INSEE France
Description: The webinar is organized by the Economic Commission for Africa in partnership with AFRISTAT, INSEE, ONS-UK and PARIS21. The objective of this event, which targets English speakers, is to share experiences on the different strategies that could be put in place by the producers of official statistics, mainly the national statistical offices, aimed at engaging the media and journalists as well as exploring the advantages of such engagements for the advancement of the national statistical systems. Speakers: Moderator: Zachary Mwangi Chege, former Statistician-General of Kenya and Chair of the 49th and 50th United Nations Statistical Commission Panellists: Paul Yaw Seneadza from Ghana Statistical Service will share the national experience on media engagement in official statistics. Wanjohi Kabukuru, an Environmental journalist, editor and media trainer, will share his experience with producers of official statistics and talk about needs from media. Rebecca Jakeway, a communications advisor from the United Kingdom’s Office for National Statistics, will speak about how the UK’s statistical organisations work with the media to better promote their work and encourage better use of data for making decisions. Tinfissi-Joseph Ilboudo from the Economic Commission for Africa will present samples tactics for media engagement in official statistics. Register in advance for this event at: https://zoom.us/meeting/register/tJItdeutpjwuE9fyeX7i418WdBPNPyQPvvDe After registering, you will receive a confirmation email containing information about joining the meeting Concept Note Guidelines for developing an integrated user engagement strategy for national statistical systems PAUL YAW SENEADZA is a Communicator who graduated from the University of Ghana, Legon. He has been working at the Ghana Statistical Service since June, 2004 in the Economic Statistics Directorate. He currently works with the Public Relations and Protocol Unit which is under the Communication and Dissemination Directorate of the Ghana Statistical Service. The role of the Unit is to ascertain and evaluate public opinion as it relates to the Service. The Public Relations team aims at advancing the objectives of the Ghana Statistical Service through education, timely and consistent dissemination of statistical information to the various users through different mediums like press briefings, launches, conferences, etc. Wanjohi Kabukuru is a multiple award-winning international journalist, whose specialty covers African environment and its development nexus with special focus on solutions. For more than two decades Wanjohi has written extensively on climate change, technology and sustainable development in Africa and its adjacent Island Nations, working in and around East, Central, Horn, Sahel and Indian Ocean regions of the continent. Rebecca Jakeway is the UK’s Office for National Statistics’ (ONS) international communications advisor, a role which involves working with communications teams at each of the ONS’s global partnerships to share ideas and best practice. She has worked for the ONS for several years, mostly within its media relations team, helping to promote the ONS – particularly its health-related statistics. Prior to joining the ONS she was a journalist and has worked across newspapers and radio including for the BBC Joseph Ilboudo is an Economist Statistician. He is currently Chief of the Statistical Development Section at the African Centre for Statistics of the United Nations Economic Commission for Africa (UNECA). His former roles have been as statistical expert at Eurostat, Central Bank Officer, head of the regional statistical programme of the West African Economic and Monetary Union (UEMOA), Principal Programme Officer in charge of statistical harmonisation of Economic Community of West African States (ECOWAS).
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP ESCAP SIAP
Description: This course aims to provide insights on how to facilitate the alignment of national plans and indicator frameworks. It provides details on the important role statistical indicators play in monitoring national and sector plans.
Description: About the session Since the beginning of the Asia-Pacific CRVS Decade in 2015, multiple countries in the region have embarked on using civil registration records for the production of vital statistics reports, which is one of the targets of the Regional Action Framework on CRVS in Asia and the Pacific. To support countries in this endeavour, ESCAP and other partners have been providing technical assistance and developed tools facilitating the calculation, analysis and presentation of vital statistics, including the revision of the Guide for the Production of a Vital Statistics Report released in December 2020. Nevertheless, at least 17countries in the region have yet to use civil registration records for producing vital statistics. This Stats Café session brought together three countries which recently developed a vital statistics report to discuss their experiences. Programme Welcome remarks and introduction of the speakers by David Rausis, Associate Statistician, Statistics Division, ESCAP Status of vital statistics in Asia and the Pacific and presentation of the revised Guide for the Production of a Vital Statistics Report by Ulysse Boiteau Montéville, Statistical Support Officer, Statistics Division, ESCAP Country experiences by Phuntsho Dorji, National Statistics Bureau, Bhutan Donora Rukhadze, National Statistics Office of Georgia Meli Nadakuca, Fiji Bureau of Statistics Questions and Answers , Stats Café Home: Upcoming events Concluded events
Description: The workshop was held virtually on Friday, 21 May 2021, 13:00 – 15:00 hours, Bangkok time. List of participants draft Five-year plan of Technical Working Group (TWG) on Disaster-related Statistics Objectives of the workshop: to finalize the 5-Year Strategic Plan of the TWG that is required to support countries to establish disaster-related statistics to identify the priority areas where the countries needs support from the 5-Year Plan to identify priority areas where the countries can extend support to the 5-Year Plan to formulate a work program for the TWG for 2021 based on the 5-Year Plan , Home: TWG Confluence Previous TWG Meetings
Description: A single most difficult task of a science journal editor is to identify, nurture, and retain talented science writers and reviewers, who could masterfully creatively communicate to science to peers and general audience. The objective of the course is to provide tools and resources to stellar students, young promising researchers, and seasoned scientists and practitioners in developing and honing their skills in technical writing, manuscript reviewing and editing. This course aims to demystify the editorial process and demonstrate a strong training potential of offering constructive feedback to peers and engaging in science communication at all stages of the research and practice endeavours. For the early career researchers and practitioners, this course will help to find their voices and establish their independent paths. For authors with limited publishing and reviewing experience this course will help to build skills, find their voices, and instil self-confidence and self-worth. For senior authors, this course will offer paths to share their knowledge and wisdom. For ISI members (and not yet members), this course will illustrate a broad range of publications supported by ISI’s societies and highlight opportunities and available resources. Effective communication of science is the essence of humankind’s progress in the 21st Century.
Target Audience: Junior practitioners and researchers, postdoctoral fellows and graduate students interested in improving manuscripts for submission for top international journals. Senior or mid-career practitioners and researchers interested in workforce development and improving reviewer’s skills for top international journals and setting up Special Issues for top international journals in statistics and related disciplines.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Organizer(s): UNSD UNCTAD UNITAR IDEP University of the Philippines Los Baños IBGE Brazil
Description: The COVID-19 pandemic has led to substantial changes in how training in statistics is provided. Remote learning has become much more common, either through virtual workshops or e-learning materials. The forced adjustment has brought challenges including adaptation to new tools and approaches, lack of personal connection and internet connectivity issues. The change, however, has also brought opportunities such as increased flexibility of when and how trainings take place, how many and who is trained, and less time and financial resources spent on travels. Once in-person gatherings and travel again become possible, what will be the new normal? Will we go back to in-person workshops with trainers and participants travelling as before, or will we take onboard some of the new approaches we have learned to use during the pandemic? The shift to remote learning also presents an opportunity to review current approaches and work towards improved coordination of statistical training, with countries taking the lead and deciding on their main training needs, working closely with regional and international partners and utilizing online learning tools to help fill gaps. The Global Network of Institutions for Statistical Training (GIST) has assessed different approaches to sustainable training programs or systems at national level and provided proposals for how National Statistical Offices can take a stronger lead to ensure that they receive the trainings that meet their needs, particularly ensuring that soft skills are covered and that there is a career training plan. This webinar, part of the UN World Data Forum series, will bring together various actors to: Share experiences from online delivery of training and ideas of what a new normal for statistical training after the pandemic could look like; Exchange ideas on how to structure and ensure sustainability of future trainings at national level to improve overall coordination and strengthening of national statistical training systems.
Description: The course consists of several short sessions explaining the concepts, compilation and uses of the macroeconomic financial accounts which are part of the System of National Accounts 2008 (and its European equivalent the ESA 2010). The sessions will introduce the main steps of selecting and confronting data sources and of balancing the accounts. One session will be dedicated to the concept of the “who-to-whom” presentation, which is one of the priorities under the G-20 Data Gaps Initiative. Finally, examples of uses of financial accounts by central banks and economic policy makers, as well as some challenges for the future will be shown.
Target Audience: Statisticians in central banks and statistical authorities. Researchers, economists and other users interested in an overview of financial accounts, its main features and uses.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: During this joint ISWGHS-Global Network Webinar we were happy to have Ruth Studley and Sarah Crofts from the Office for National Statistics (ONS, the UK’s National Statistical Office) who talked about The UK Covid Infection Survey explaining what the ONS UK has done to address the data needs of the COVID-19 pandemic and what our colleagues have learned during the process. This Global Network Webinar was organized in cooperation with the Inter-secretariat Working Group on Household Surveys (ISWGHS). The presentation covered how the ONS UK established the Covid Infection Survey (CIS), why it was best placed with the ONS, what approach the ONS colleagues took to set it up, the lessons they learned and how they mobilized themselves to respond to the rapidly changing user need such as the questions they asked, the way they collected data, and the way they analyzed it.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic and social classifications, their content and use.
Target Audience: Any statistician of a National Statistical Institute (including newcomers) dealing with any statistical domain and wishing to understand better the system of classifications used. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Fraud has been around since the early days of commerce, continuously evolving and adapting to changing times. The fraudulent cases are seen in a wide range of domains such as finance, credit card, telecommunications, insurance and health care. Examples include but not limited to the post COVID-19 instances in financial stimulus, unemployment eligibility and health care procurement. For instance, in health care, overpayments are estimated to correspond up to ten percent of total expenditures. This short course presents the use of analytical methods for fraud assessment. Fraud data and its types will be introduced with some examples and pre-processing techniques. Next, the course will cover the use of visualization and unsupervised methods (outlier detection, clustering, topic models) to describe data and reveal hidden relationships. Whereas supervised methods such as classification and regression can be used with labeled data sets for prediction purposes. These methods will be discussed using examples from finance and health care industries. The course will conclude with an overview of applications using R. After completing the course, the attendees will have learnt various types of fraud, and the use of data and statistical methods for fraud detection.
Target Audience: Researchers in financial service companies, banks, insurance companies, government institutions, health care institutions, and consulting firms as well as fraud data analysts/scientists; consultants working in fraud detection. This course is also expected to be of interest to early career statisticians that can gain insights about how different data mining/statistical methods are applied in this emerging crucial subject domain using R.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Statistics Division of ESCAP organized this Stats Café to stir a dialogue around the following questions: How is your country assessing progress on the SDGs? What methodologies and processes have you adopted? What are the challenges in SDG progress assessment in your country? What has been the impact of your work on SDGs implementation? What tools and methods are available to support national efforts? What are your future plans in utilizing data for monitoring SDGs? , Stats Café Home: Upcoming events Concluded events
Training of Trainers on Gender Statistics for Monitoring the SDGs
Virtual Training
10 May 2021 – 29 Jun 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): UN Women ESCAP ESCAP SIAP
Description: The training will provide the opportunity for participants to review and understand key components of the Training Curriculum on Gender Statisticswhich is currently being finalized by the Subgroup on Gender Statistics Traininga subsidiary organ of the Network for the Coordination of Statistical Training in Asia and the Pacific.
Source: ESCAP SIAP (Data extracted on: 28 Oct 2021 )
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Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling water statistics and accountsand the compilation of relevant SDG indicators. The topics covered include physical supply and use tablesasset accountsvaluation and data sources. Three webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions.
e-Learning Course on Official Statistics for SDGs (conducted in the Russian language )
10 May 2021 – 31 May 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): HSE University Russian Federation ESCAP SIAP
Description: This course introduces fundamental knowledge on official statistics. The course will help you understand how to compile and monitor Sustainable Development Goal (SDG) indicators from official statistics. Этот курс ознакомит вас с фундаментальными знаниями официальной статистики. Этот курс поможет вам понятькак составлять и отслеживать показатели Целей Устойчивого Развития (ЦУР) из официальной статистики.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The workshop on Navigating Policy with Data to Leave No One Behind: Regional Cooperation to Strengthen National Statistical Systems in Asia and the Pacific was organized by the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) in conjunction with development partners including the UN Economic Commission for Europe (UNECE), Partnership for Statistics for the 21st Century (PARIS21) and Asian Development Bank. It was be held in online format on 10th, 11th and 20th May 2021, 12:00 – 15:00 hours Bangkok time (UTC+7). The workshop discussed progress with a regional declaration to Navigate Policy with Data to Leave No One Behind[1] adopted by the ESCAP Committee on Statistics in 2018 and endorsed by the Committee’s governing body, the ESCAP Commission in 2019 and introduced three new projects commencing in 2021 to provide technical assistance to support countries with their commitments as outlined in the declaration. Attendance summary Group photo Concept note The key objectives of the workshop were: To introduce and discuss progress with Asia-Pacific regional frameworks for strengthening national statistical systems To assess national priorities and development needs in relation to four prioritised commitments in the regional framework for strengthening national statistical systems known as the Declaration on Navigating Policy with Data to Leave No One Behind To gather information on country needs and potential activities in line with the national commitments of the Declaration To introduce three newly commenced projects aligned with the national commitments in the Declaration [1] ESCAP/CST/2018/7, https://www.unescap.org/sites/default/files/ESCAP_CST_2018_7_Declaration.pdf
Description: During this course we will give an overview of various typical situations that can arise when producing statistics based on multiple data sources for which one wants to measure the quality of the output. The course will provide the participants with knowledge of specific quality measures, their calculation methods and when and how to apply them, and hands on experiences of the quality measures. We will also discuss examples from the participants’ experience with the production of multisource statistics and the quality measurement of these statistics. After the course participants will be able to identify several practical situations where the quality of multisource statistics can be measured, and will be able to apply appropriate quality measures and methods to calculate these measures. Topics covered during the course are: * General introduction on (quality of) multisource statistics; * Bootstrapping; * Using latent class modelling for correcting for measure error; * Capture-recapture methodology to correct for under-coverage; * Macro-integration techniques; * Case studies based on input from the participants.
Target Audience: The course is mainly targeted on statisticians working at institutes that produce statistical information, such as National Statistical Institutes.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: A virtual webinar that will give an overview of ICD-11 and the tools for implementation. The classifications and terminologies team will respond to questions in a Q & A session following the presentations.
Source: World Bank (Data extracted on: 03 May 2021 )
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Organizer(s): World Bank University of Chile
Description: This panel will discuss how research is using micro data from firms to understand macroeconomic phenomena and the design of public policy. Marcela Eslava, Roberto Fattal Jaef, and Federico Huneeus, three leading experts in the area, will provide examples on how firm data can shed light on issues such as: growth, inequality, market structure, misallocation of capital, production networks, and productivity. The presentations will show data from Latin America. Jose de Gregorio will lead the discussion after the initial presentations, taking questions from the audience.
Description: Spatial data science is concerned with analyzing the spatial distributions, patterns, and relationships of data over a predefined geographical region. It relies on the dependence of observations where the primary assumption is that nearby spatial values are associated in a certain way. For decades, the size of most spatial datasets was modest enough to be handled by exact inference. Nowadays, with the explosive increase of data volumes, High-Performance Computing (HPC) has become a popular tool for many spatial applications to handle massive datasets. Big data processing becomes feasible with the availability of parallel processing hardware systems such as shared and distributed memory, multiprocessors and GPU accelerators. In spatial statistics, parallel and distributed computing can alleviate the computational and memory restrictions in large-scale Gaussian random process inference. In this course, we will first briefly cover the motivation, history, and recent developments of statistical methods so that the students can have a general overview of spatial statistics. Then, the cutting-edge HPC techniques and their application in solving large-scale spatial problems with the new software ExaGeoStat will be presented.
Target Audience: Statisticians with interests in High-Performance Computing and large-scale Spatial Statistics.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Moderated by Louis Marc Ducharme, IMF's Chief Statistician and Data Officer and STA Director, the panel will discuss how the IMF’s Climate Change Indicators Dashboard can contribute to statistical cooperation on climate change-related data and overcome challenges to integrate climate change into the overall macroeconomic statistics framework.
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: About the session What are some institutional mechanisms countries can put in place for developing sound and policy-relevant indicators? What characteristics define a “good” statistical indicator? What are key considerations in selecting the most relevant statistical indicators to our policy priorities? How do we understand and develop disaggregation requirements for statistical indicators? , Stats Café Home: Upcoming events Concluded events
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: Within the framework of the subregional technical cooperation project: "Improvement of agricultural censuses and surveys for the calculation of the SDG indicators"
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course: to provide practical training in writing about statistics in clear and understandable language, with the aim to improve the attractiveness and efficiency of presenting statistics, with reference to the Code of Practice.
Target Audience: Staff involved in/responsible for drafting/writing press releases, statistical texts and articles for NSI’s publications, for the web, for social media or other types of communication channels. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
2021 International Comparison Program Online Workshop with Department of Statistics Malaysia, Fiji Bureau of Statistics and Department of Economic Planning and Statistics, Brunei Darussalam
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The course aims at enhancing participants' theoretical and practical knowledge of National Accounts. They should become familiar with the system framework, the integration and balancing of source data and the presentation of national accounts data.
Target Audience: Junior statisticians of National Accounts (NA) departments or statisticians of other statistical departments dealing with NA statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users —in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014 , which is harmonized with the system of national accounts. The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
3rd AMDN Webinar: Migration data for the protection of migrant children in the African context
29 Apr 2021 – 29 Apr 2021
Source: IOM GMDAC (Data extracted on: 03 May 2021 )
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Organizer(s): IOM GMDAC STATAFRIC Statistics Sweden
Description: Millions of children are migrants. They are fleeing war or poverty or the consequences of climate change. These children represent an extremely vulnerable population exposed to danger, exploitation and abuse of all kinds, deprivation and discrimination during their migration journey. They often lack access to education and appropriate medical care, and experience difficulties in adapting to new cultures they encounter. The protection of migrant children and the formulation of appropriate programmes to address their needs depend on the availability of reliable, accurate and up-to-date data. This webinar aims to discuss the availability of data on child migration in the African context as well as the possible ways to improve these data and filling data gaps.
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Organizer(s): University of Manchester United Kingdon
Description: Big data, which is large datasets generated from digital devices and sensors (e.g. social media, mobile data and remote sensing data) are creating new possibilities to transform development research and policy. However, such data are usually decontextualized data which decrease the meaning and value that can be extracted from it. More traditional thick data collected through qualitative and ethnographic methods could rescue big data from this context-loss as they are better able to explain the why and how of what…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Illustrate how “standardisation” is dealt within the European Statistical System and, more in general, within the statistical community; * Explain how to define a standardization strategy to improve the statistical business processes; * Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI); * Introduce on open data (RDF, DCAT) and spatial (INSPIRE) standards; * Highlight the relationships between conceptual and implementation standards; * Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to the dissemination, reporting and more in general to the data and metadata sharing.
Target Audience: Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Title in Spanish: Taller técnico sobre la consulta al estudio "Encuestas de Origen-Destino (EOD) en América Latina"
Organizer(s): ECLAC France
Description: Este taller es organizado por la División de Estadísticas de la CEPAL con el apoyo de la Cooperación Francesa. Se lleva a cabo de forma virtual.
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Title in Spanish: Metodologías de estimación en áreas pequeñas y su aplicación a mapas de pobreza en América Latina
Organizer(s): ECLAC INE Chile
Description: En el marco de la Red de Transmisión del Conocimiento (RTC) de la Conferencia Estadística de las Américas, esta reunión virtual es organizada por el Instituto Nacional de Estadísticas de Chile y la CEPAL.
Description: This course, presented by the IMF Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014, the update of the 2001 edition), and on practical aspects of data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the new methodology, which is harmonized with the system of national accounts. The course examines GFS coverage and accounting rules (including accrual accounting), valuation, classification, debt, balance sheets, and the sources and methods used for compiling the statistics. It also deals with reporting data to the IMF. Central to the course is a series of case studies.
Target Audience: Officials whose main responsibility is compiling public finance statistics.
Description: This live virtual training workshop delivered remotely offers an opportunity to gain advanced knowledge in regards to some of the more topical concepts, principles and accounting rules that GFS compilers have to deal with in regard to above the line transactions for GFS. In addition to a refresher on the concepts of revenue this will include special topics on: (1) the difference between fees and taxes; (2) a focus on the classification of environmental taxes including country presentations of data compiled on them; (3) the classification of capital injections and whether above or below the line; and (4) discussion on other issues that applicants identify in regards to above the line transactions when they register for the course. Workshop discussions will be in the context of the international standards presented in the Government Finance Statistics Manual 2014 (GFSM 2014), the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDS Guide) and Environmental Taxes: A Statistical Guide 2013. Participants' questions/concerns will be invited and entertained throughout.
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicatorsand data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: Accelerating tourism recovery in Africa by providing national and local NTOs and other DMOs with digital skills and know-how in data, research and marketing
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat EFTA
Description: An understanding of how a business intelligence tool like Power BI can be used in public statistics. Being able to import data to Power BI from different sources and visualizing them in Dashboards, making it easy to consume for yourself or other end-users. Knowledge of how BI-tools might supplement more typical statistical programming software.
Target Audience: Staff of national statistical institutes (including newcomers) who are involved in the production process and interested in learning new tools for visualizing and consuming data. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: To provide the participants with advanced knowledge of the EGR 2.0 system and its applications. To present the EGR 2.0 business process, the functionalities of the applications, the EGR's role and good practices of integration into the production of official globalisation related statistics and quality checks.
Target Audience: Statisticians working on production of official statistics related to globalisation (FATS, FDI, GNI, BoP, etc.) in NSIs and/or Central Banks. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Present the basics of scripting and programming in GIS and their benefits in ETL processes and automation; Enable participants to employ scripting and programming in their daily work for GIS tasks.
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of statistics and intending to script processes in the domain of GI. Participants are expected to have knowledge of QGIS and spatial analysis. This course is not a beginner GIS course - The knowledge from the introductory courses on GIS from the ESTP should have been practiced. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyze the labour market for the purposes of evidence-based policy-making, including SDG and decent work indicators.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The aim of this course is to equip national and international stakeholders with the necessary skills for using STATA statistical software to analyze the labour market for the purposes of evidence-based policy-making, including SDG and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Organizer(s): SESRIC Ministry of Education Malaysia
Description: Within the framework of its Vocational Education and Training Programme for the Member States of the Organization of Islamic Cooperation (OIC-VET) and in line with the OIC-TVET Strategic Roadmap 2020-2025, SESRIC will organise a training course on “Development of E-learning Curriculum and Relevant E-materials” on 19-22 April 2021 through an online video conferencing platform. The course will be provided by competent experts from the Ministry of Education of Malaysia for the benefit of experts from TVET Institutions of the OIC Member States. The main objective of the training course is to provide insights on the development of e-learning content by using appropriate ICT tools in the field of technical and vocational education. It also aims to introduce the most recent trends and approaches in developing and implementing an effective e-learning curriculum and relevant e-materials. This training course is designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this difficult time of global crisis due to COVID-19 pandemic.
Title in Arabic: التصنيفات الإحصائية الرسمية: المفاهيم الأساسية والتطبيقات
Organizer(s): AITRS
Description: تعتبر مكاتب الإحصاء الوطنية المنتج الأساسي لأهم البيانات الرسمية وإتاحتها لجميع المستخدمين وذلك طبقا للمناهج والمعايير والتصنيفات الإحصائية المتعارف عليها والمعتمدة من قبل الهيئات الدولية. وفي هذا الإطار تعتبر التصنيفات الإحصائية الرسمية الاقتصادية والاجتماعية إحدى أهم المعايير لجودة المنتج الإحصائي الرسمي وآلية فنية محورية لتنسيق البيانات الإحصائية على المستويين المحلي والدولي.وتلتزم الأجهزة الإحصائية في إطار احترام مواثيق القواعد المثلى لإنتاج الإحصائيات الرسمية باتخاذ الإجراءات اللازمة لضمان تطبيق المفاهيم والتعريفات والتصنيفات الموحدة باستمرار، من قبل الجهاز الإحصائي الوطني والمنتجين الآخرين للإحصائيات الرسمية وتسهر على توافق أنظمة التصنيفات الوطنية مع الأنظمة الدولية على المستوى التفصيلي.
Description: Join us to launch the Asia-Pacific Guidelines to Data Integration for Official Statistics and to celebrate the 1st anniversary of the establishment of the Data Integration Community of Practice We will showcase Asia Pacific achievements in Data Integration and hear from the Statistical Center of Iran on implementing data integration using big and administrative data sources. Relevant publication: United Nations, Economic Commission for Europe, “A guide to data integration for official statistics”, version 2. Agenda Welcoming remarks, Ms. Gemma Van Halderen, UNESCAP Overview of achievements, Ms. Afsaneh Yazdani, UNESCAP DI-CoP: our virtual meeting place, Ms. Jessica Gardner, former UNESCAP consultant Launch of Asia Pacific Guidelines to Data Integration for Official Statistics Touch upon the Asia Pacific Guidelines to Data Integration for Official Statistics, Ms. Jenine Borowik, UNESCAP Innovations from Iran: Resolving quality issues in the integration of administrative and big data in official statistics, Mr. Saeed Fayyaz, Statistician, Statistical Center of Iran , Stats Café Home: Upcoming events Concluded events
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users —in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Title in Spanish: Integración de registros administrativos e información censal: Experiencias en la región
Organizer(s): IDB
Description: Moving towards the use of register based statistics as a main source of data implies the need to validate and cross reference the data. For that some countries in LAC have included the national ID number on the census questionnaire to combine the census data with administrative data. This event will present some lessons learned and plans for the region.
Target Audience: National statistical offices, government officials that deal with official statistics production and/or dissemination, policy makers, employees from International Organizations that deal with statistical capacity building, researchers
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicatorsand data flow. Sharing and discussing country challenges in measuring SDG indicators
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat EFTA
Description: To provide the participants with basic understanding on how to produce statistics with the use of geocoded statistical registers and map databases. Emphasis is on the use of Vector data and Vector tools, also getting to know and use the GIS-tool ArcGIS Pro.
Target Audience: Target group are persons with little to some practical experience in GIS/ GI/ cartography, and which want to make use of GIS in producing statistics or analysis, using the ArcGIS Pro. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: Sound understanding of the basic setup of an LCU. Hands on cases based on real world (globalization) issues encountered by LCU members.
Target Audience: National statistical offices interested in developing LCU-activities. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘International Trade in Services Statistics’ on 13 April 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on the SESRIC Statistical Experience Sharing Webinar Series, please visit: http://www.oicstatcom.org/webinar-series.php
e-Learning Course Introductory Course on Labour Accounts
12 Apr 2021 – 07 May 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP ESCAP SIAP
Description: This course is designed to create a foundation on Labour Accounts. The main objectives of this course are to outline the general principles for compiling a labour accountintroduce the International Labour Organization’s four-step process for creating a labour accountand describe the benefits of producing a labour account.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: About the session This Stats Café session will showcase the recent efforts and advances in disaster-related statistics being undertaken by ESCAP and UN partner agencies through enhanced regional cooperation and platforms. This is with the aim of improving the production, dissemination and use of disaster-related statistics at the national and regional levels to promote evidence-based policymaking for building disasters resilience; reporting to and monitoring of the Sendai Monitoring Framework and the 2030 Agenda for Sustainable Development. Programme Welcome Remarks by Rikke Munk Hansen, Chief, Economic and Environment Statistics Section, ESCA Introduction of the Speakers by Puji Pujiono, Senior Adviser, Technical Working Group (TWG) on Disaster-related Statistics, ESCAP Presentations by Maria Fe Talento, Statistician, Statistics Division, ESCAP Michael Nagy, Statistician, UN Economic Commission for Europe (UNECE) Timothy Wilcox, Programme Management Officer, UNDRR Regional Office for Asia and the Pacific Question and Answer Presentations by Sara Duerte Valero, Regional Advisor, Gender Statistics, UN Women, Regional Office for Asia and the Pacific Amin Shamseddini, Programme Officer, Asian and Pacific Centre for the Development of Disaster Information (APDIM), ESCAP Question and Answer Summary of the Stats Café by Puji Pujiono Closing Remarks by Rikke Munk Hansen , Stats Café Home: Upcoming events Concluded events
Description: Briefing on the SDG monitoring work, the emerging SDG indicator framework for the Private Sector and the Plan for improving the governance of FAO statistical activities.
Organizer(s): UNSD ESCAP SIAP UNITAR United States Census Bureau INEGI Mexico IBGE Brazil
Description: This Global Network Webinar focused on Coordinating Training in Official Statistics which featured a panel of experts: Mitali Sen (US Census Bureau, Chair of GIST), Elena Proden (UNITAR), Makoto Shimizu (UN ESCAP SIAP), Nuria Torroja and Alfonso Tapia (INEGI Mexico), and Bianca Walsh (IBGE Brazil). The webinar was coordinated by Vibeke Oestreich Nielsen. At the webinar, the work of the Global Network of Institutes for Statistical Training (GIST) https://unstats.un.org/gist/ was introduced followed by a demonstration of UN SDG:learn http://www.unsdglearn.org/statistics and by the presentation of a selection of courses that different GIST members have added. GIST is working actively to improve coordination and accessibility of statistical training. A key element of this has been the establishment of a hub or gateway for statistics courses and microlearning materials.
Description: The United Nations Economic and Social Commission for Western Asia (UN ESCWA ), in collaboration with UN Agencies, custodians of SDG indicators, is organizing a series of webinars on selected SDG indicators that are less produced in the Arab region to create a common understanding among data producers on how to collect, measure and disseminate SDG indicators to increase data production and enhance national data flow to policy makers, other users and custodian agencies. The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow. Sharing and discussing country challenges in measuring SDG indicators
Description: The main objectives of the regional training are: Enhancing understanding of metadata. Improving statistical capacities to invigorate production and use of comparable SDG indicators. Strengthening inter-institutional coordination to invigorate production of SDG indicators and data flow Sharing and discussing country challenges in measuring SDG indicators
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on ‘International Trade in Goods Statistics’ on 6 April 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on the SESRIC Statistical Experience Sharing Webinar Series, please visit: http://www.oicstatcom.org/webinar-series.php Documents: Concept Note (English)
Description: تُستخدم المسوحات بالعينات التي ترعاها الحكومات والتي تجريها المعاهد الإحصائية على نطاق واسع لإنتاج تقديرات للمجاميع والمعدلات والنسب على المستوى الكلي في المجتمعات المنتهية الحقيقية. في السنوات الأخيرة أصبح الاهتمام منصباً على توفير تقديرات أو مؤشرات على مستوى أكثر تفصيلاً، أي للمجموعات الجزيئة من المجتمع الكلي، والتي لم يكن مخططاً لها في تصميم المسح الأصلي، دون تكبد تكاليف إضافية بسبب زيادة حجم عينة المسح، والذي هو هدف تقدير المناطق أو المجالات أو المساحات الصغيرة. على سبيل المثال معدلات البطالة للمجموعات السكانية الجغرافية الإجتماعية الديموغرافية. في الأدبيات، يعبر عادة على التقسيمات الفرعية التي من أجلها تكون البيانات الإحصائية (أو التقديرات) مطلوبة بالمناطق أو المجالات، بغض النظر عما إذا كانت بالفعل تتوافق مع مناطق جغرافية أو مجموعات فرعية إجتماعية إقتصادية، أو تقاطعات لكليهما. وتهدف الورشة الى : * التعريف باشكاليلت تقدير المناطق الصغيرة * التعرف على التقديرات المباشرة - تقدير المناطق المعتمدة على تصميم المسح * التعرف على التقديرات غير المباشر - التقديرات المركبة
Description: About the session This Stats Café will present the experiences of the National Statistical Offices of Indonesia, Republic of Korea and Georgia in addressing challenges of using mobile phone data in population and tourism statistics. It will also discuss the supporting efforts of the UN Committee of Experts on Big Data and Data Science for Official Statistics and the Task Team on Mobile Phone Data. , Stats Café Home: Upcoming events Concluded events
Description: The meeting is part of a series of regional workshops planned to present the Operational Guidelines of the WCA 2020 to the FAO member countries in different parts of the world.
Source: World Bank (Data extracted on: 29 Sep 2021 )
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Organizer(s): World Bank
Description: With rapid changes in the production and consumption of data, there is an urgent need for national statistical systems to transform and strengthen their capacity. To assess the performance of such systems, the World Bank has developed the Statistical Performance Indicators (SPI). By helping countries identify the strengths and weaknesses of their statistical systems, the SPI can guide decisions about investment priorities and help identify peer countries from which they might learn. The SPI includes a forward-looking framework to track progress in national statistical capacity and will replace the Statistical Capacity Indicators (SCI) that the World Bank has regularly published since 2004.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with theoretical and practical training on the compilation of Physical Energy Flow Accounts. Focus is given to the use of Eurostat's IT tool ("PEFA-Builder") supposed to facilitate the compilation of Physical Energy Flow Accounts based on Annual Questionnaires for energy statistics.
Target Audience: Environmental statisticians or staff working on environmental accounts departments and involved in data compilation of Physical Energy Flow Accounts (PEFA). Introductory and advanced level. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Over 1300 Data Officers and Statisticians around the world are now interacting, discussing, and sharing about their activity in the Global Network, including you. Did you know that you have the possibility to create “groups” (called “communities” on Yammer mobile apps)? This feature is particularly useful when the Network becomes more crowded and you want to focus on a specific topic/issue with other members or if you want to have focused discussions with countries in a particular region. In this training participants learn: - When and why creating a group on the Global Network - The conditions for a group to be active and useful to its members - Different use cases - How to prepare the launch - How to create a group in the Global Network - Best practices and current experiences
Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in the compilation of annual gross domestic product both at current prices and in volume terms using the production and expenditure approaches, in support of better policy-making and surveillance. The course starts with an overview of the system of national accounts, presenting the sequence of accounts for transactions and other flows as well as balance sheets, with a focus on the framework of the 2008 SNA. It covers the main concepts involving transactions, other economic flows, stocks, institutional units, classifications, and main macroeconomic aggregates measured by the system. The main lectures and workshops include: sessions on the production account covering the definition and measurement of output, intermediate consumption, and value added; valuation issues; and the treatment of particular industries; source data and issues in the compilation of GDP by production and expenditure approaches; deflators and derivation of volume measures of GDP; and specific issues related to goods and services transactions, including supply and use framework, inventory valuation adjustment, consumption of fixed capital, non-observed and informal economy, global supply chains, and the digital economy. Emphasis is also placed on sharing country experiences among the participants.
Description: This course, presented by the Statistics Department, provides training on the methodology for compiling and disseminating CBPS, including the integrated IIP and memoranda and supplementary position data items following BPM6 ; EDS, including currency composition, remaining maturity, and debt service schedule; the CPIS, including sectoral data; and the CDIS. The course consists of a series of lectures, discussions, and practical exercises. Lectures and class discussions focus on general concepts and compilation practices, while exercises provide participants with an opportunity to put knowledge learned into practice. Participants have the opportunity to discuss problems encountered in their compilation work and gain insights into the analytical uses of the international accounts. The course is based on the Balance of Payments and International Investment Position Manual, sixth edition (BPM6) , the 2013 External Debt Statistics: Guide for Compilers and Users , the 2010 CPIS Guide , and the 2015 CDIS Guide .
Title in Arabic: اسس ومفاهيم البيانات الضخمة والذكاء الاصطناعي
Organizer(s): AITRS UNDP Arab Development Portal Arab Aid
Description: ازدادت أهمية علم البيانات مؤخراً بشكل كبير نظراً لحجم البيانات الضخمة المتوفرة من مصادر متعددة وبأشكال مختلفة وهو ما يعرف بمصطلح البيانات الضخمة Big Data وحاجة هذه البيانات إلى طرق وأدوات معالجة خاصة. وقد طال الاهتمام بهذا العلم أجهزة الاحصاء الرسمية تجلى أساسا في عقد مؤتمرات وورش عمل اقليمية ودولية تتعلق بالبيانات الضخمة وعلم البيانات، والاستغلال الأمثل لما تتيحه هذه التكنولوجيات في تطوير الاحصائيات الرسمية. كما شرع العديد من الاجهزة الاحصائية في التطبيق الفعلي لمختلف التطورات والتطبيقات الجديدة في هذا المجال. وفي هذا السياق، سيتم تنظيم مجموعة ورشات عمل إقليمية مترابطة ومتكاملة عن بعد للأجهزة الإحصائية في البلدان العربية حول علم البيانات والذكاء الاصطناعي للتعريف بهذا الموضوع الهام . أهداف الورشات وتتمثل أهداف الورشات أساسا في: * إطلاع المشاركين على مفهوم علم البيانات، والبيانات الضخمة باستخدام تقنيات الذكاء الاصطناعي * إدراك المشاركين لأهمية علم البيانات في الاحصاءات الرسمية والتعرف على مختلف مكوناته، * التعرف على مختلف الاستعمالات والقيمة المضافة للبيانات الضخمة والذكاء الاصطناعي، * إطلاع المشاركين على الطرق الأولية في معالجة البيانات باستخدام برامج محددة.
Organizer(s): UNSD ECA UNEP Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: The System of Environmental-Economic Accounts (SEEA) represents a global effort towards the goal of mainstreaming nature into decision-making. The recently adopted SEEA Ecosystem Accounting (EA) is the international statistical standard to measure ecosystems, their status and contribution to the economy. These accounts begin with an “Ecosystem Extent Account”, which maps ecosystems distribution and tracks changes over time. This webinar will demonstrate a low-cost, replicable approach for the identification and mapping of ecosystem extent developed through a partnership between US space agency NASA, Conservation International (CI) and the government of Liberia. The webinar will share results from Liberia, and how these results are supporting planning and decision-making in the country. Last, the webinar will encourage a discussion on how the piloted approach in Liberia can support other countries efforts to develop SEEA-compliant ecosystem extent accounts at the national scale.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: The objective of this course is to provide the participants with an overview of Statistical disclosure theory and methods related to tabular data protection and microdata protection, as well as the respective software. Participants will be asked to bring case studies that will be discussed in the course.
Target Audience: Staff dealing with statistical confidentiality. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): SESRIC IsDB Islamic Centre for Development of Trade
Description: Islamic Centre for Development of Trade (ICDT) in collaboration with SESRIC and Islamic Development Bank (IsDB) Group will organise the Virtual Training Workshop on Trade-in-Services Data Collection and Analysis on 23-25 March 2021 with the participation of the representatives of Ministries of Trade, Central Banks, and National Statistical Offices of the OIC countries and representatives of international organisations including African Union, International Trade Centre (ITC), League of Arab States, United Nations Conference on Trade and Development (UNCTAD), United Nations Statistics Division (UNSD), and World Trade Organisation (WTO). The objective of the Virtual Training Workshop is to introduce the new methodologies of collecting, harmonizing and analysing trade-in-services data to the participants and to help negotiators in trade-in-services approach new markets by using these data with a view to boosting the intra-OIC services trade while achieving the relevant goals of the OIC-2025 Plan of Action and the related SDGs. The Virtual Training Workshop on Trade-in-Services Data Collection and Analysis will cover the following topics: Importance of Trade in Services Statistics and Relevant Classifications; Experiences of Regional Institutions on Collection of Trade-in-Services Data; Challenges in Measuring Trade-in-Services; Experiences of OIC Member Countries on Trade in Services Data Collection and Analysis; and Trade in Services Data Analysis. During the Virtual Training Workshop, SESRIC will chair the session on the “Importance of Trade in Services Statistics and Relevant Classifications” and will make a presentation during the session on the “Experiences of Regional Institutions on Collection of Trade-in-Services Data”.
Title in Arabic: قياس الفقر النقدي في الدول العربية
Organizer(s): AITRS ESCWA SESRIC
Description: تتميز أهداف التنمية المستدامة 2030 بربطها ودمجها للأبعاد الثلاثة للتنمية المستدامة المتعلقة بالمجالات الإجتماعية والإقتصادية والبيئية، بالإضافة الى أنها نتاج لعملية تشاور طويلة ومكثفة شارك فيها مختلف أصحاب المصلحة من حكومات ومؤسسات وطنية ومجتمع مدني ومنظمات دولية واقليمية واكادميين وخبراء. وقد أظهرت مختلف الدراسات المنجزة حول مدى استجابة النظم الإحصائية الوطنية لمتابعة تنفيذ أهداف التنمية المستدامة وتقييمها وجود فجوة كبيرة بين الانتاج الاحصائي المتوفر والحاجيات الجديدة والمتزايدة من الإحصائيات، بالاضافة إلى حاجة الأجهزة الإحصائية المتأكدة إلى التحديث والدعم، وقد شرعت مختلف المنظمات الدولية والاقليمية على غرار اللجنة الإقتصادية والإجتماعية لغربي آسيا والمعهد العربي للتدريب والبحوث الاحصائية في هذا الإطار في تعزيز قدرات بلدان الإقليم في جل المجالات المرتبطة بالاحصاء من خلال تنظيم العديد من الندوات وورش العمل التدريبية. ونظرا للاهتمام المتزايد بالاحصائيات الاجتماعية وخاصة تلك المتعلقة بالفقر ومستوى عيش الاسر وضرورة ضمان متابعة تنفيذ اهداف التنمية المستدامة ذات العلاقة والواردة بالهدفين الاول والثالث في موضوع الفقر، فقد نظمت اللجنة الإقتصادية والإجتماعية لغربي آسيا والمعهد العربي للتدريب والبحوث الاحصائية بتونس خلال الفترة 23-25 تموز2019 ورشة اقليمية حول قياس الفقر في البلدان العربية. وانبثقت عنها العديد من التوصيات والمقترحات من بينها تنظيم ورش عمل تدريبية تطبيقية حول كيفية قياس الفقر انطلاقا من المسوح الاسرية التي تنجزها جل الدول العربية كل خمس سنوات. وفي هذا الاطار وتنفيذا لجزء من تلك المقترحات ومواصلة لمختلف الانشطة ذات الصلة المنجزة من قبل المنظمات الاقليمية والدولية، ومركز البحوث الاحصائية والاقتصادية والاجتماعية والتدريب للبلدان الاسلامية ورشة تدريبية عملية حول قياس الفقر بالبلدان العربية خلال الفترة 2-4 اذار / مارس 2021. تهدف الورشة بصورة أساسية إلى تحقيق التعرف على: * دراسة خط الفقر النقدي من حيث التعاريف وأوضاعها وقياسها على المستويين النظري والتطبيقي؛ * اسلوب قياس الفقر النقدي من حيث التعريف والخصائص الأساسية؛ * قياس الفقر النقدي من حيث خاصية التفكيك وخرائط الفقر.
Organizer(s): FAO UN Habitat International Land Coalition Landesa
Description: Organised by FAO, International Land Coalition, Landesa and UN-Habitat, this event will present the experience of different countries, showing how they have adopted measures to secure women’s land rights.
e-Learning Course on Compiling National Metadata for the Sustainable Development Goals
22 Mar 2021 – 28 Apr 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling metadata at the national level with emphasis on metadata for the SDGs. Among other topics coveredthe course provides details on the template for compiling metadata which has been agreed upon at the international level. Two webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using financial soundness indicators (FSIs) in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course includes lectures and workshops on: institutional sectors; consolidation bases and adjustments for FSIs; regulatory framework for deposit takers; accounting principles and sectoral financial statements for FSIs; core and additional FSIs for deposit takers, other financial corporations, and other sectors; financial sector surveillance and FSIs; macroprudential analysis and FSIs.Lectures are complemented by hands-on exercises, where participants work in groups to resolve practical questions of classification of financial institutional units, construction of different reporting populations for FSIs according to different consolidation bases, calculation of Basel solvency and liquidity ratios, production of sectoral financial statements and FSIs for deposit takers and the use of FSIs for financial sector surveillance. The course introduces templates for use in the regular reporting of FSI data and metadata to the IMF and provides guidance in accessing and using the IMF database for FSI data and metadata.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “SDG 9 Indicators” on 25 February 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on the SESRIC Statistical Experience Sharing Webinar Series, please visit: http://www.oicstatcom.org/webinar-series.php
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “SDG 6 Indicators” on 18 February 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on the SESRIC Statistical Experience Sharing Webinar Series, please visit: http://www.oicstatcom.org/webinar-series.php
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: To enable participants to understand the scope, architecture, and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata, so that they can: * Assess how to take advantage of SDMX in their day-to-day work; * Understand what a DSD and MSD are and how they reflect requirements for data and metadata exchange; * Work together (statisticians and IT specialists) in the organization in planning for SDMX in their domain; * Understand the relationship between SDMX and the process of the production of statistics; * Understand the different roles of the organizations in the collection and production of statistics and the relationship with SDMX; * Understand (in broad terms) the different tools that Eurostat can provide, and the architecture that can be developed. * Understand that SDMX enables automated validation services.
Target Audience: Statisticians and IT professionals working in a statistical domain without SDMX knowledge. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): Global Partnership for Sustainable Development Data
Description: The Centre of Excellence for CRVS Sytems is organizing a webinar on legal identity in post conflict situations: How can legal, regulatory and institutional frameworks be restructured to be more inclusive and provide trusted and trustworthy identity credentials to everyone? In post-conflict settings, how can undocumented adults, marginalized populations and refugees be registered? This webinar will share findings from research that documents how Afghanistan, Georgia, Rwanda and South Africa have made registration of vital events more accessible by adjusting or removing legal and institutional obstacles in post-conflict settings. Implicitly these countries are attempting to provide all citizens, residents and refugees with a legal identity, but in practice some of them fall short. The study found that in each country studied civil registration and legal identity systems were recognized as part of the healing and reconciliation processes in their countries. You can learn more here. Simultaneous French, Portuguese and English translation will be available. The even will take place on Tuesday 16 March, 19:00-21:00h (Bangkok time). You can register here, and follow the discussions here.
Description: Main goals of the course are to enhance statisticians' ability to apply the most recent internationally agreed recommendations on IMTS, define best possible data sources, set up adequate (or enforce existing) collection systems, and enhance statistics compilation and production processes. The course focuses on the following topics: Conceptual Framework, Institutional Arrangement, Production and Compilation, Metadata and Quality, Dissemination and Analysis and New Areas of Work. Furthermore, the course emphasizes the importance of quality, metadata, timely dissemination, and links to economic analysis and national policy objectives.
Title in French: Cours d'apprentissage en ligne TrainForTrade sur les statistiques du commerce international de marchandises
Organizer(s): UNSD UNCTAD WTO
Description: Les principaux objectifs sont de renforcer l’aptitude des statisticiens à appliquer les recommandations les plus récentes sur les SCIM, décidées au niveau international, à identifier les meilleures sources de données, à mettre en place des outils adaptés à la collecte des données et à améliorer les modalités d’élaboration des statistiques. De plus, le cours insiste sur la qualité, les métadonnées, la diffusion des statistiques ainsi que sur l’apport des SCIM à l’analyse économique et la formulation d’objectifs nationaux de politique économique.
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, prepares participants to compile monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. The course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, workshops, and case studies dealing with practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) for the CB and ODCs, and the derivation of the monetary survey for the CB, ODCs, and the depository corporations sector. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Description: This course, presented by the IMF Statistics Department, familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the Bank for International Settlements, and the European Central Bank, published in May 2015. The course covers definition and features of securities, securitization, and related operation; valuation and recording of securities; classification schemes and presentation tables for securities; and security-by-security databases. A practical exercise on valuation and recording of different types of debt securities complements the lectures.
Description: Learn the basics of CAPI data collection and management, develop your own questionnaires and apply these skills to a wide variety of surveys. In 2019, the Asian Development Bank (ADB) launched two free Massive Open Online Courses (MOOCs) on Computer-Assisted Personal Interviewing (CAPI) using CSPro Android and Survey Solutions. Given the successful conduct of the courses and increased demand from learners who could not participate in the first two rounds, ADB has decided to launch a third round of the two MOOCs. The courses are expected to be released on 15 March 2021 and will be offered free-of-charge. LEARNING OBJECTIVES The course will introduce learners to two free CAPI platforms being used by official data collection agencies: (i) CSPro Android developed by the US Census Bureau and (ii) Survey Solutions designed by the World Bank. Through interactive modules, learners will not only pick up the basics of CAPI data collection, management, but will also be able to develop their own questionnaires and apply these skills to a wide variety of surveys. FORMAT Students will be permitted to register for one of the two CAPI software platforms. The medium of instruction will be English.Those enrolling for the course are expected to have access to a computer, handheld device (Android based smartphone or tablet), and internet connectivity. HOW TO REGISTER We encourage staff interested in enhancing their skills in CAPI to register online by 5 March 2021: https://forms.gle/f2V83Sj8cgz1JM3D6
Description: About the session Joining ESCAP-SD in this Stats Café were resource persons from Food and Agriculture Organisation (FAO), The Asian and Pacific Centre for the Development of Disaster Information Management (APDIM), Statistics Canada and Fiji Bureau of Statistics (FBoS). They discussed the integration of satellite and statistical data in their respective institutions. FBoS gave a comprehensive presentation outlining the institution’s experience in developing the Fiji Land Cover Account 2005 – 2015. Colleagues also discussed the usefulness of the ESCAP-SD guides which facilitate land accounting and land cover change analysis, using open-source data and open-source programs QGIS, RStudio and RShiny. The discussion also centred on the application of these guides to further uses. The guides are available here: Producing land cover change maps and statistics: Step by step guide on the use of QGIS and RStudio Producing land cover change maps and statistics: Guide on advanced use of QGIS and RStudio Producing urban hot spot maps Step by step guide on the use of QGIS , Stats Café Home: Upcoming events Concluded events
Organizer(s): Global Partnership for Sustainable Development Data
Description: The Centre of Excellence for CRVS Sytems is organizing a virtual training on how to enhance demand for civil registration services through training on communication for development: Social and Behaviour Change (SBC) communication has developed rapidly in the last decades, towards engaging and mobilizing communities and populations to find solutions to their problems and to become the promoters and owners of programmatic results. Promising results from areas such as health, reduction of harmful practices, local development, gender equity and others have proved that engaging communities and factoring in social norms, can help programs go way beyond what was possible with traditional communication programs, predominantly based on providing information. This series of 3 training sessions is based on the newly developed handbook on “Civil Registration, Vital Statistics, Identity Management: Communication for Development targeting CRVS practitioners in LMICs” developed by the United Nations Statistical Division (UNSD) with technical and financial support from the Centre of Excellence for CRVS Systems. The handbook provides guidance on the use of different tools to research, design, implement strategies and measure Social and Behavior Change/ Communication for Development. This training series will introduce and prepare the participants on the use of the Social and Behavioral Change tools, develop an understanding and awareness of the objectives and value of behavioral change tools, and also open the discussion on opportunities and challenges, exploring the needs and interests for further training in the area. You can learn more here.
Description: Compared to other regions of the world, Latin America and the Caribbean has historically made a minor contribution to climate change. Nonetheless, the region is acutely vulnerable to its negative consequences, particularly the small island developing States (SIDS) of the Caribbean that have been continuously impacted by hazardous events, such as tropical storms, floods or landslides.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: The goal of the course is to make participants familiar with standards and guidelines relevant for frames in social statistics, in particular the ESS Quality Guidelines on Frames for Social Statistics (QGFSS). This concerns: * Constructing and maintaining frames; * Using frames; * Assessing and evaluating the quality of frames.
Target Audience: Staff concerned with the construction, maintenance and/or use of frames in social statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: A session for the Data Integration Community of Practice to present the potential use of administrative data to enhance the compilation of labor and employment statistics.
Description: This course, presented by the Statistics Department, provides training on the methodology for compiling and disseminating CBPS, including the integrated IIP and memoranda and supplementary position data items following BPM6; EDS, including currency composition, remaining maturity, and debt service schedule; the CPIS, including sectoral data; and the CDIS. The course consists of a series of lectures, discussions, and practical exercises. Lectures and class discussions focus on general concepts and compilation practices, while exercises provide participants with an opportunity to put knowledge learned into practice. Participants have the opportunity to discuss problems encountered in their compilation work and gain insights into the analytical uses of the international accounts. The course is based on the Balance of Payments and International Investment Position Manual, sixth edition (BPM6), the 2013 External Debt Statistics: Guide for Compilers and Users, the 2010 CPIS Guide, and the 2015 CDIS Guide.
Description: This one week course, presented by the IMF Statistics Department, is designed to assist officials in the compilation of monetary and financial statistics in accordance with international best practices. The course material is based on the Monetary and Financial Statistics Manual and the Monetary and Financial Statistics: Compilation Guide, which expand on the definitions, classifications, and valuation principles for monetary and financial macroeconomic analysis within the framework of the System of National Accounts. The course discusses the principles of economic sectorization, the characteristics and classification of financial instruments, valuation, and other accounting issues that are relevant to the compilation of analytical accounts for the entire financial sector, comprising the central bank, other depository corporations, and other financial corporations. The course consists of lectures, workshops, and case studies that familiarize participants with practical aspects of monetary statistics compilation; in particular the recently introduced standardized report forms (SRFs). It also focuses on financial statistics, which comprise the financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world, and the balance sheet approach for vulnerability analysis. Lectures address the interrelationships between monetary, balance of payments, government finance, and national accounts statistics. Participants are expected to make a short presentation on monetary statistics compilation issues in their countries.
Description: IMF member countries are encouraged to start compilation of high frequency data to monitor the impact of the pandemic and to monitor the strength of the recovery of economic activities. The quality of these statistics is paramount for decision and policy making in all AFRITAC East countries.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Validation and reporting results of machine learning methods. * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks. * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments. * Understanding of symbolic computation for backpropagation and gradient descent. * Model selection, Hyper-parameter tuning and practical considerations. * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients. * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The Stats Café is the last of a three-seminar series which aims to provide practical and clear guidance for countries in Asia and the Pacific on measuring the inequalities in CRVS with the ultimate goal of narrowing the gap in civil registration. Each seminar comprises of a webinar which is open to all, and a subsequent Expert Group Meeting on the same topic which is by invitation only. About the session ESCAP Statistics Division, in collaboration with international and national organizations, is organizing a three-seminar series under the theme, “Inequalities in CRVS: Let’s really get every one in the picture!”. This seminar series aims to provide practical and clear guidance for countries in Asia and the Pacific on measuring the inequalities in CRVS with the ultimate goal of narrowing the gap in civil registration. Each seminar comprises of a webinar which is open to all, and a subsequent Expert Group Meeting on the same topic is by invitation only. This webinar, speakers shared their knowledge and experiences on indirect demographic methods for measuring completeness and coverage of registration of vital events with focus on their application in low capacity countries. , Stats Café Home: Upcoming events Concluded events
Description: In this webinar, we will present the different approaches and tools for measuring the scale, scope and value of volunteering. Our speakers will also share experiences across different countries on the challenges, lessons learned and ways forward for measuring volunteering.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Skills mismatching is a common concern of policy-makers, employers and workers. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of the phenomenon. Where evidence-based skills are concerned, policy-making statistics on various forms of skill mismatching are needed. Building on its long experience in delivering training on skills and labour-market analysis, the International Training Centre of the ILO, in full collaboration with the ILO Department of Statistics, offers the second edition of this online course that aims to equip national and international stakeholders with the necessary competencies to measure and analyse skills mismatches and imbalances for evidence-based policy making. The course is designed to enhance capacities to identify, collect, analyse and disseminate labour-market information related to skills imbalances from both the demand and supply sides.
Target Audience: National statistical offices (NSOs); ministries of labour and related institutions (such as labour observatories); governmental institutions engaged in employment, skills development, skills matching and analysis; international organizations and donor agencies engaged in skills matching; skills councils; national TVET authorities; TVET Centres; workers' and employers' organizations; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: Topics considered at the workshp are 1. Recording of COVID related fiscal transactions, 2. Treatment of transactions related to natural resources, 3. Recording of transactions related to social security funds, 4. Review progress on transition to accrual accounting; and 5. Assess status of implementation of recommendations of previous GFS regional workshops.
Source: UN Women (Data extracted on: 28 Mar 2021 )
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Organizer(s): UN Women
Description: Recognizing the high impact of COVID-19 in the Americas and Caribbean region, UN Women is conducting rapid gender assessments (RGAs) to better understand how the COVID-19 crisis is affecting people’s lives in terms of the socio-economic impacts, distribution of care work, and access to basic goods and services. To this end, UN Women partnered with the Ministry of Women and Gender Equity (MinMujeryEG) of Chile, the National Institute of Women (INMUJERES) of Mexico, and the Presidential Council for Women's Equity (CPEM) of Colombia, to carry out RGAs in each country in 2020. During the event, results from these surveys will be presented to unpack how women and girls are being impacted by the pandemic in each of country, followed by a panel discussion on the importance of such data as complementary to official statistics, as well as a comparative overview of the three RGAs.
Description: As part of the 52nd United Nations Statistical Commission, UNSD is organizing a side event for national statistical offices, international organizations and delegates of Permanent Missions to acquire a more detailed overview of the impact the COVID-19 pandemic has had on the functioning of civil registration and vital statistics worldwide, and more specifically through the lens of the UN Legal Identity Agenda (UN LIA). Several topics will be discussed, such as (a) international standards for civil registration and statistics vital and its implementation in countries; (b) the impact of the COVID-19 pandemic on operations and maintenance of civil registration and production of vital statistics; (c) the short-term and long-term consequences in the recording of vital events due to the pandemic, (d) ensuring universal civil registration of all events beyond the COVID-19 pandemic, (e) reporting on the UN LIA implementation in African pilot countries, and (f) partners' experiences in supporting UN LIA during the pandemic. The event will take place on Friday, 26 February 2021, from 9:00 to 10:45 AM New York time, or 9:00 to 10:45 PM Bangkok time. You can join the meetings virtually here. You can find more details here.
Organizer(s): UNSD ECA UNEP Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: Botswana has embraced NCA following the outcome of the Gaborone Declaration of Sustainability in Africa (GDSA) in 2012. Since then, a decision was made at highest policy level to prioritize NCA for water, mineral and energy resources, including compilation of macroeconomic indicators of sustainable development. A scoping exercise to develop ecosystem accounts was carried out in 2014 which prioritized the initial development of SEEA-compliant Tourism Satellite Account. Capacity building and a process to institutionalize the accounts was led by Government, with support from the World Bank through the WAVES Global Partnership programme. Botswana, like many other African countries, is endowed with a variety of natural resources, especially minerals, and a rich biodiversity which had significantly contributed to the country’s sustained economic growth and socio-economic development. As one of the five piloted WAVES countries to implement NCA in 2012, Botswana has made remarkable progress in terms of natural capital accounts compilation and annual report updates and the dissemination of key policy massages to different stakeholders. Although at different stages of maturity, the NCA data from water and energy accounts have shown great potential to impact significantly in monitoring the implementation of one or two natural capital related SDGs. This webinar will showcase the country’s experience of using NCA data to inform key sectoral policies and strategies that have economic bearing on sustainable management of the key natural resources responsible for economic prosperity.
Revising statistical concepts and definitions of international migration: Perspectives for Africa
25 Feb 2021 – 25 Feb 2021
Source: IOM GMDAC (Data extracted on: 01 Mar 2021 )
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Organizer(s): IOM GMDAC STATAFRIC Statistics Sweden
Description: The African Union Institute for Statistics (STATAFRIC), Statistics Sweden and IOM's Global Migration Data Analysis Centre are launching a new webinar series on migration data. The first online event will give an overview of the revised concepts and definitions on international migration and discuss the consequences of this revision for African migration data. 2021
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: UN Women (Data extracted on: 01 Mar 2021 )
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Organizer(s): UN Women
Description: The Counted and Visible Toolkit provides a compilation of tools and mechanisms used by several countries to produce evidence to inform gender-responsive policies and catalyze actions to leave no one behind. This Toolkit was developed by UN Women, in collaboration with the Intersecretariat Working Group on Household Surveys. The webinar will showcase the experiences of countries featured in the toolkit with a view to consult with intended users on its relevance, content, and practicality.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “Tourism Statistics” on 24 February 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. This webinar will cover the following topics related to Tourism Statistics: Inbound Tourism Statistics Outbound Tourism Statistics Tourism Satellite Accounts Household Domestic Tourism The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on the SESRIC Statistical Experience Sharing Webinar Series, please visit: https://www.oicstatcom.org/webinar-series.php Documents: Concept Note (English)
Source: ESCAP SIAP (Data extracted on: 11 Feb 2021 )
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Organizer(s): ESCAP SIAP Topics:
e-Learning Course on Disaster Related Statistics Framework
22 Feb 2021 – 09 Apr 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: This course aims to build national capacities for the compilation of disaster related statistics for enhancing disaster management and promote the risk-informed sustainable development in the countries. The course also aims to facilitate national monitoring and reporting on the Sendai Framework for Disaster Risk Reduction and the 2030 Agenda for Sustainable Development. It introduces concepts relevant to compiling disaster related statistics.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using financial soundness indicators (FSIs) in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course includes lectures and workshops on: institutional sectors; consolidation bases and adjustments for FSIs; regulatory framework for deposit takers; accounting principles and sectoral financial statements for FSIs; core and additional FSIs for deposit takers, other financial corporations, and other sectors; financial sector surveillance and FSIs; macroprudential analysis and FSIs.Lectures are complemented by hands-on exercises, where participants work in groups to resolve practical questions of classification of financial institutional units, construction of different reporting populations for FSIs according to different consolidation bases, calculation of Basel solvency and liquidity ratios, production of sectoral financial statements and FSIs for deposit takers and the use of FSIs for financial sector surveillance. The course introduces templates for use in the regular reporting of FSI data and metadata to the IMF and provides guidance in accessing and using the IMF database for FSI data and metadata.
Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “Population Statistics and Censuses” on 22 February 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. This webinar will cover the following topics related to population statistics and censuses: History of Population Censuses in Turkey Address Based Population Registration System 2011 Population and Housing Census 2021 Population and Housing Census (Towards a Register-Based Census) The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on the SESRIC Statistical Experience Sharing Webinar Series, please visit: https://www.oicstatcom.org/webinar-series.php Documents: Concept Note (English)
Title in French: Formation en ligne sur les indicateurs de l'ODD 6.4 (Afrique francophone)
Organizer(s): FAO
Description: Formation régionale interactive en ligne sur les indicateurs ODD 6.4.1 (Variation de l’efficacité de l’utilisation des ressources en eau) et 6.4.2 (Niveau de stress hydrique).
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course are: * Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics. * Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics.
Target Audience: Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Illicit financial flows (IFFs) threaten countries’ ability to achieve the 2030 Agenda for Sustainable Development. Policy action to curb IFFs requires better data and better understanding of IFFs. As an illicit phenomenon, IFFs are not easy to track or measure. National statistical authorities have an important role in measuring IFFs in line with the Fundamental Principles of Official Statistics. The event is organised by UNECA, jointly with UNCTAD and UNODC, custodians of SDG indicator 16.4.1 on IFFs. The online workshop will introduce the newly released UNCTAD-UNODC Conceptual Framework (2020) and UNCTAD Methodological Guidelines to Measure Tax and Commercial IFFs (upcoming in 2021). African countries will be invited to express their interest in joining the pilot testing of the methods. Successful measurement of IFFs requires collaboration across disciplines as illicit phenomena cut across society and data remain highly scattered. Therefore, the relevant government agencies and Ministries, and especially the National Statistical Office, Customs and Revenue Office, Tax authority, Central Banks and Financial Intelligence Centers are invited to participate in the online workshop. The project seeks to empower the United Nations Member States to estimate IFFs in line with national priorities by supporting the statistical system to acquire the technical knowledge to launch the statistical measurement of IFFs. More information on the project can be found here. French documents will be added as they become available.
Description: في اطار تنفيذ البرنامج السنوي للمعهد العربي للتدريب والبحوث الاحصائية لعام 2021 وعملا على تطوير برامجه التدريبية المختلفة بهدف تحسين جودة التدريب ورفع قدرات المشاركين في العمل الاحصائي المتخصص سيعمل المعهد على تنظيم دورات متوسطة أو طويلة الاجل في المجالات الإحصائية الرئيسية طبقا لما تم اقتراحه في برنامج عمل المعهد 2021-2022 خلال الاجتماع الخامس والأربعين لمجلس الأمناء. ولأهمية مجال العينات ولما لها دور في المسوح الإحصائية والمشاكل التي تواجه عملية الاستقصاء وجمع البيانات الإحصائية وأثر العينة على نتائج تلك المسوح والية اختيار المناسب منها، سينظم المعهد دورة تدريبية في مجال العينات بواقع مستويين اثنين او ثلاث مستويات لتغطية كل الجوانب المتصلة بالموضوع بالإضافة الى التعرض بالدرس للمستجدات التي طرأت في علم العينات واستخدام التقنيات الجديدة. اهداف الدورة تهدف هذه الدورة أساسا الى إكساب المشاركين المهارات التالية: * ترسيخ المفاهيم الضرورية لتصميم عينات المسوح الإحصائية * اعداد وتجهيز اطر المعاينة وسحب العينات منها * حساب الاوزان وتعديلها ومعايرتها * حساب التباين والدقة في التقديرات الناتجة من المسوح بالعينة * استخدام البرامج الحديثة في سحب العينات وحساب التباين * ضبط ومراقبة الجودة في كل مراحل العمل
Description: Given the recent outbreak of the COVID-19 pandemic, many national statistical offices have been facing obstacles to carrying out their work in a normal way. There is a need to reflect on these challenges and try to overcome the problems by finding solutions that enable NSOs to continue doing their work in line with international statistical standards despite the pandemic. With this in mind, the ILO Department of Statistics, in collaboration with the ITCILO, is organizing this course to reflect on the ongoing challenges, present the latest international statistical guidelines for NSOs in dealing with the pandemic, find innovative solutions to overcoming the COVID-19 disruption, and continue doing their work.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: About the session With the COVID-19 pandemic significantly changing our world, official statisticians are now urged to apply new approaches to reduce face to face data collections One approach has been switching to mixed mode surveys, where a combination of modes such as face-to-face, telephone, web based questionnaire, etc is used to collect data Although this approach seems promising, there are technical issues that should be considered and technical capacity has not always caught up with demands. A recent Stats Café on "Is COVID-19 introducing mode effects into your official statistics?" co-hosted by ESCAP and the UN Statistical Commission’s Inter Secretariat Working Group on Household Surveys focused on mixed mode household surveys The Café shared practices around the more ‘front end’ parts of surveys such as questionnaires and field operations but many participants requested advice on the ‘back end’ parts. This Stats Café was organised as a rapid response to participant questions for advice on imputation, weighting and estimation in mixed mode data collections. , Stats Café Home: Upcoming events Concluded events
Source: World Bank (Data extracted on: 14 Feb 2021 )
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Organizer(s): World Bank
Description: At this online seminar, Florina Pirlea, Statistician and Divyanshi Wadhwa, Junior Data Scientist, World Bank’s Development Data Group, will present the main features of the 2020 Atlas.
Description: Organized by Statistics Division and the Caribbean Subregional Headquarte of ECLAC. This is a Side-event of the 52nd session of the United Nations Statistical Commission
Description: This one-week course will cover Supply and Use Tables (SUT), Input-Output Tables (IOT) and extensions. The following topics will be covered: Overview of SUT and Their Structure; Data Sources and Practical Compilation Aspects of SUT; Balancing the SUT; Transforming SUT into IOT; and Impact Modeling Using IOT. The course will be delivered virtually, for three hours per day from February 8th to 12th. The course will feature interactive lectures and hands-on exercises that enable participants to operationalize what they learn.
Description: ESCAP Statistics Division, in collaboration with international and national organizations, is organizing a three-seminar series under the theme, “Inequalities in CRVS: Let’s really get every one in the picture!”. This seminar series aims to provide practical and clear guidance for countries in Asia and the Pacific on measuring the inequalities in CRVS with the ultimate goal of narrowing the gap in civil registration. Each seminar will comprise of a webinar which is open to all, and a subsequent Expert Group Meeting on the same topic which will be by invitation only. This second webinar focused on using secondary sources to assess inequality in civil registration with speakers sharing their knowledge and experiences of using various data sources for assessing inequalities in civil registration. , Stats Café Home: Upcoming events Concluded events
Description: The webinar was held on 8 February 2021, 12:00-13:30h (Bangkok time, GMT+7). The meeting record is available here. A well-functioning CRVS system helps to ensure that every person has a legal identity, facilitating access to the benefits and protections of the State. Despite national and universal efforts to “get every one in the picture”, disparities in coverage of hard-to-reach and marginalized populations remain. Therefore, the Regional Action Framework on CRVS goes beyond the measurement of civil registration completeness at the national level and includes inequality assessment as part of the essential tools for achieving universal and well-functioning civil registration systems. To answer countries' request for guidance on how to achieve it, ESCAP organized in collaboration with international and national organizations a series of webinars and Expert Group Meetings (EGM) with the overarching theme, “Inequalities in CRVS: Let’s really get every one in the picture!”. This second webinar focused on using secondary sources to assess inequality in civil registration with speakers sharing their knowledge and experiences of using various data sources for assessing inequalities in civil registration. It explored questions such as: What are the advantages and disadvantages of the different data sources for assessing inequality in civil registration? What are the criteria for determining which data sources are the most appropriate, when are they appropriate to be used, which assumptions are made and do those assumptions hold? How may these data sources be improved to be a better resource for assessing inequality? The meeting was followed by the EGM 2 to reflect on the discussions of the webinar.
Title in Spanish: Seminario web de alto nivel sobre el Sistema de Contabilidad Ambiental-Económica - Contabilidad de Ecosistemas (SEEA-EA) para los países de América Latina
Organizer(s): ECLAC UNSD
Description: El objetivo de este evento es informar a los países de la región sobre el proceso de revisión de la metodología de contabilidad de ecosistemas del SCAE y mostrar los avances y desafíos de las cuentas económicos ambientales en América Latina y el Caribe. Organizado conjuntamente entre la CEPAL y la División de Estadísticas de las Naciones Unidas (DESA).
Description: This course, presented by the Statistics Department, offers an opportunity for thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts statistics. The course is based on the IMF Quarterly National Accounts Manual (2017 Edition) and oriented to national accounts compilers from countries that are improving, developing, or planning to develop quarterly national accounts (QNA). The course covers both theoretical and practical compilation issues, specifically the following main topics: the scope and role of QNA; data sources for compiling quarterly GDP estimates (mainly using production and expenditure approaches); editing procedures and dealing with indicators; benchmarking techniques for combining quarterly indicators with annual estimates; seasonal adjustments; price and volume measures; chain-linking techniques for compiling QNA time series; early estimates of quarterly GDP; other specific QNA issues; and revision policy and dissemination practices.The course consists of lectures, workshops, and small group discussions.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using financial soundness indicators (FSIs) in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course includes lectures and workshops on: institutional sectors; consolidation bases and adjustments for FSIs; regulatory framework for deposit takers; accounting principles and sectoral financial statements for FSIs; core and additional FSIs for deposit takers, other financial corporations, and other sectors; financial sector surveillance and FSIs; macroprudential analysis and FSIs.Lectures are complemented by hands-on exercises, where participants work in groups to resolve practical questions of classification of financial institutional units, construction of different reporting populations for FSIs according to different consolidation bases, calculation of Basel solvency and liquidity ratios, production of sectoral financial statements and FSIs for deposit takers and the use of FSIs for financial sector surveillance. The course introduces templates for use in the regular reporting of FSI data and metadata to the IMF and provides guidance in accessing and using the IMF database for FSI data and metadata.
Description: The first-ever Live Q&A Session with UNSD Director Stefan Schweinfest with the title “Let’s discuss the next normal for Statistics!” on the Global Network of Data Officers and Statisticians during which you will have the chance to ask the Director of the UN Statistics Division, Stefan Schweinfest.
Description: The Asia-Pacific Stats Café: Is COVID-19 introducing mode effects into your official statistics? was held on Monday, 1 February 2021, 11:00-12:30 hours (Bangkok time, GMT+7). This session of the Stats Café was jointly organized by UNESCAP and the Intersecretariat Working Group on Household Surveys. Attendance summary Flyer Technical Guidance Note – Planning and Implementing Household Surveys Under COVID-19 About the session The COVID-19 pandemic resulted in a range of impacts to statistical operations including abruptly stopping face to face data collections. Many National Statistical Office turned to telephone or web interviews to maintain time series continuity and monitor the health and socio-economic impact of the pandemic. Using alternative modes however, raises issues of time series comparability due to possible mode effects. This Café discussed mode effect assessment methodologies, lessons learned during COVID-19 with alternative modes of data collection, the potential of a “mixed mode” approach moving forward, and elements to consider for a cost effective data collection mode that produces high quality data. Introduction to the session Ms Haoyi Chen, Coordinator, Intersecretariat Working Group on Household Surveys (ISWGHS) Speakers Noraliza Mohamad Ali, Head of Employment Unemployment Division, Malaysian Bureau of Labour Statistics, Department of Statistics Malaysia Seo young Kim, Director, Statistics Korea, (Technical Advisor for UNFPA Population and Development Branch) Christopher Hoy, Economist (Young Professional) in Poverty & Equity Global Practice World Bank Ms Wilma Guillen, Assistant National Statistician, Philippine Statistics Authority (PSA) Moderator Gemma Van Halderen, Director, Statistics Division, ESCAP
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: The preparation of a national plan for advancing environmental-economic accounting is initiated through a scoping exercise, implemented as a preliminary assessment of readiness and capacity of countries that are seeking to embark on natural capital accounting approaches that are consistent with the System of Environmental Ecosystem Accounting (SEEA). Among other things, it assesses policy relevance and priorities, data availability, institutional framework and financial as well as technical resources required to implement NCA at an appropriate scale. The assessment of readiness will, in turn, support the development of a national plan, or roadmap helping governments to determine initial priorities for implementing various types of accounts, raise/allocate funds as well as work on the institutional arrangements necessary for their sustainable implementation. This webinar will aim to introduce the process of scoping for natural capital accounting, introduce the tools available for countries, and outline the idea behind the national plans/roadmaps. The webinar will aim to bring together thoughts and experiences on scoping and national plan development in several African countries that are in various stages of NCA development.
Source: UN Women (Data extracted on: 14 Feb 2021 )
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Organizer(s): UN Women Sightsavers
Description: UN Women is collaborating with Sightsavers and partners on a special event to share what we’ve learned about producing data that includes everyone. Gathering data on people with disabilities, older people, women and girls, and other marginalized groups is important, as this helps to ensure that these groups are not left behind by development programmes. UN Women, Sightsavers, Development Initiatives and HelpAge International have been collecting, using and calling for inclusive data for several years. As we enter 2021, this online event will provide a chance to take stock of the successes and challenges that we have faced along the way. It will offer useful learnings for other organizations on how to improve their own practices, and include a Q&A with participants. The event will feature: Alex Goldsworthy, Humanitarian Programme Officer, HelpAge International Claudia Wells, Director of Data Use, Development Initiatives, UK Papa Seck, Chief Statistician and Chief, Research and Data, UN Women Munazza Gillani, country director, Sightsavers, Pakistan. Dom Haslam, Sightsavers’ Director of Policy and Programme Strategy, will be acting as moderator for the event.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: The objective of this course is to facilitate the application of methods and tools recommended for census 2021 protection.
Target Audience: Statisticians working on census 2021 statistical disclosure control (SDC) implementation. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Given the recent outbreak of the COVID-19 pandemic, many national statistical offices have been facing obstacles to carrying out their work in a normal way. There is a need to reflect on these challenges and try to overcome the problems by finding solutions that enable NSOs to continue doing their work in line with international statistical standards despite the pandemic. With this in mind, the ILO Department of Statistics, in collaboration with the ITCILO, is organizing this course to reflect on the ongoing challenges, present the latest international statistical guidelines for NSOs in dealing with the pandemic, find innovative solutions to overcoming the COVID-19 disruption, and continue doing their work.
Target Audience: This course caters to government officials from ministries of labour, economy and planning; officials of national statistical offices; officials of national, regional and international organizations; members of academic and research institutions; and representatives of workers' and employers' organizations (ILO social partners).
Description: The African Centre for Statistics (ACS) of the United Nations Economic Commission for Africa (ECA), in collaboration with the National Institute of Statistics and Economic Studies (INSEE-France), Office for National Statistics of the United Kingdom (ONS-UK) and other development partners will organize an e-training webinar on the use of alternative price data collection methods, focusing in particular on the use of telephone surveys, scanner data and web scrapping methods from 25 January to 4 February 2021. The e-training webinar on the use of alternative price data collection methods is a follow-up to the reginal seminar on data collection for the compilation of CPI during COVID-19 which was virtually organized during the weeks of 18 to 28 May 2020. The main objectives of the upcoming e-training webinar are to develop the capacity of member States on the use of telephone surveys, scanner data and web scrapping in the collection of price statistics and to identify countries for providing further technical assistance on each of the methods. Staff who work in the area of price and other related statistics of national statistical offices of member States, as well as sub-regional and regional organizations will participate in the e-training webinar. On-line registration to participate in the meeting can be made by using the hyperlink provided below until 22 January 2021: https://events.uneca.org/registration/register?eventId=255c1f05-7655-eb11-80e6-0050569360fe
Description: The Asia-Pacific Stats Café is pleased to present a three-webinar series under the theme "Inequalities in CRVS: Let's really get every one in the picture!". The webinar series will provide critical inputs in drawing-up practical and clear guidance for countries in Asia and the Pacific on measuring the inequalities in CRVS with the ultimate goal of narrowing the gap in civil registration. Each webinar (open to all), will be followed by an Expert Group Meeting on the same which will be by invitation only. This first webinar was held on Monday, 25 January 2021, 12:00-13:30 (GMT+7), focused on qualitative assessments of the CRVS systems with speakers sharing their knowledge and country experiences on the Bali Process Civil Registration Assessment Toolkit (Part 1: The Bali Process Toolkit) and on other related inequality assessment frameworks (Part 2: Other Qualitative Assessments). Attendance Summary Concept Note Flyer Presenters/Discussants/Moderator Part 1: Experience on the Bali Process Toolkit Mr. S. M Mursalin, National Technical Adviser, Technical Support Unit –CRVS, Ministry of Planning, Development & Special Initiatives, Pakistan Ms. Sriprapha Petcharamesree, Senior Lecturer, Institute of Human Rights and Peace Studies, Mahidol University, Thailand Mr. Nguyen Cong Khanh, Director General, Department of Civil Registration Nationality and Authentication, Ministry of Justice, Viet Nam Mr. Matthias Reuss, Senior Statelessness Officer, UNHCR, Regional Bureau for Asia and the Pacific Discussant: Ms. Ni Ni Aung, Project Manager (Policy and Partnership), The Regional Support Office, The Bali Process on People Smuggling, Trafficking in Persons and Related Transnational Crime Part 2: Experience on Other Qualitative Assessments Mr. Jeff Montgomery, Registrar-General, Civil Registration, Department of Internal Affairs, New Zealand Ms. Claire Brolan, Development Research Fellow, Centre for Policy Futures, The University of Queensland Discussant: Ms. Irina Dincu, Senior Program Specialist, Centre of Excellence for Civil Registration and Vital Statistics Systems Moderator: Ms. Petra Nahmias, Chief, Population and Social Statistics Section, Statistics Division, ESCAP
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “Innovation Statistics” on 21 January 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. This webinar will cover the following topics related to innovation statistics: Overview and legal basis Methodological basis Classifications Concepts and definitions Coverage, periods and statistical units Sampling Method Data collection The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: To provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues To introduce the participants to the use of software JDEMETRA+
Target Audience: Staff of national statistical institutes (including newcomers) involved in the production process who want to acquire a good understanding of Seasonal Adjustment (SA) methods and practices. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): UNSD UNITAR Citizen Science Center Zurich Switzerland
Description: Our fourth edition of the Build Strong Data Ecosystems for SDGs series on Citizen Science and Citizen-generated Data for Monitoring the SDGs was held on 19 January. It was great to see so many participants (almost 80) in this session. During this webinar, Rosy Mondardini, managing Director of the Citizen Science Center in Zurich, provided a brief introduction to citizen science. She stressed the advantages of citizen science data for national statistical offices with two aspects: 1) monitoring the SDGs by filling data gaps and supplementing the national data with disaggregated levels; and 2) implementing the SDGs by supporting individuals and communities. She elaborated on Citizen Science's implementation with best practices such as Fresh Water Watch in the UK and Marine Debris Initiative in Australia. Elena Proden, Senior Specialist at UNITAR, presented a collaborative study designed and carried out as part of the EU-funded Crowd4SDG project. She elaborated on the data collections and introduced the current membership in the study advisory group and their key outputs so far.
Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using financial soundness indicators (FSIs) in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course includes lectures and workshops on: institutional sectors; consolidation bases and adjustments for FSIs; regulatory framework for deposit takers; accounting principles and sectoral financial statements for FSIs; core and additional FSIs for deposit takers, other financial corporations, and other sectors; financial sector surveillance and FSIs; macroprudential analysis and FSIs. Lectures are complemented by hands-on exercises, where participants work in groups to resolve practical questions of classification of financial institutional units, construction of different reporting populations for FSIs according to different consolidation bases, calculation of Basel solvency and liquidity ratios, production of sectoral financial statements and FSIs for deposit takers and the use of FSIs for financial sector surveillance. The course introduces templates for use in the regular reporting of FSI data and metadata to the IMF and provides guidance in accessing and using the IMF database for FSI data and metadata.
Description: One of the critical follow-up and review mechanisms for the 2030 Agenda for Sustainable Development is the Voluntary National Review (VNR) prepared by Member States and presented at the High-Level Political Forum (HLPF). In July 2021, forty-four countries plan to present a VNR at the HLPF, many of whom (35 countries) presenting a review for the second or third time. These VNRs, prepared through a country-led process, facilitate the sharing of experiences - both successes and challenges - among Member States, with a view toward accelerating implementation of the 2030 Agenda.
e-Learning Course on Principles of Data Visualization for Official Statistics and SDG Indicators
13 Jan 2021 – 03 Mar 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
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Organizer(s): ESCAP SIAP
Description: This course introduces data visualization as a tool to produce high-quality graphics for monitoring official statistics and the Sustainable Development Goals (SDGs) indicators.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This Stats Café brought together experts from the Inclusive Data Charter network, including international and regional organizations and national governments, to discuss experiences in producing and using inclusive and disaggregated statistics to progress the Leave No One Behind commitment. In order to live up to the promise inherent within the Sustainable Development Goals (SDGs), to “Leave No One Behind,” we need timely, comprehensive, and disaggregated data to better understand the situation of the poorest and most marginalized. In the Asia-Pacific region, COVID-19 has further heightened the need for accurate data on marginalized communities as the pandemic has exacerbated socio-economic inequities and disrupted data collection efforts. While there have been some advances in methodologies on data disaggregation since the launch of the SDGs in 2015, critical challenges remain, including the lack of political will and prioritization of inclusive data, limited coordination and cooperation between data producers -especially around the utilization of existing data, and the complexities of collecting data on hard-to-reach populations. Attendance Summary Flyer Agenda Welcome remarks: Gemma Van Halderen, Director, Statistics Division, ESCAP The Inclusive Data Charter: Kate Richards, Outreach Manager – Inclusive Data Charter Global Partnership for Sustainable Development Data Mainstreaming Gender across Statistical Work in Asia and the Pacific to Meet the Promise of Leaving No One Behind: Sara Duerto Valero, Regional Advisor – Gender Statistics, UN Women KNBS’ Work on Inclusive Data Charter and Collaboration with the Ministry of Labour And Social Protection: Renice Akinyi Bunde, Statistician Governance, Peace and Security Statistics, Kenya National Bureau of Statistics Leave No One Behind Priorities in the Asia-Pacific Region: Gemma Van Halderen, Director, Statistics Division, ESCAP Questions and answers: Petra Nahmias, ESCAP , Stats Café Home: Upcoming events Concluded events
Online Training of Training of Trainers on Telephone Surveys (Video learning) & (Remote training)
12 Jan 2021 – 28 Feb 2021
Source: ESCAP SIAP (Data extracted on: 15 Oct 2021 )
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Organizer(s): ESCAP SIAP Development Data Group World Bank
Description: Participants are expected to contribute to capacity building on telephone surveys in their countries, and also preferably in their neighboring countries in their region. This training course would help countries conduct high-quality telephone surveys during the current pandemic as well as afterwards, as National Statistical Offices increasingly adopt to new modes of data collection.
Description: This course, presented by the Statistics Department, prepares participants to compile monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. The course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, workshops, and case studies dealing with practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) for the CB and ODCs, and the derivation of the monetary survey for the CB, ODCs, and the depository corporations sector. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.
Description: The International Association of Survey Statisticians () presents this short auto-instructional course, including: introductory videos, and course notes with theoretical lessons, followed by tutorials for practical computer sessions in R, and computer workshops. In the practical sessions, participants will conduct tasks using the methods and software presented. Examples with data are presented and used in the practical sessions. Short videos, course materials, data files, and R scripts are provided on this website. Main topics include probability sampling designs, an introduction to the analysis of survey data, point and standard error estimation, model selection and model fitting, and plotting survey data.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “Research and Experimental Development (R&D) Statistics” on 7 January 2021 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. This webinar will cover the following topics related to R&D statistics: Overview and legal basis Methodological basis Coverage and data collection Concept and definition Activities to be excluded from R&D Questionnaires (for BES, GOVERD and HES) Measurement and analysis Dissemination The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
e-Learning Course on Compiling Climate Change Indicators: an Accounting Approach
06 Jan 2021 – 12 Feb 2021
Source: ESCAP SIAP (Data extracted on: 15 Oct 2021 )
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Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling indicators that inform climate change. The topics covered include among others: climate change policies and indicators; energy and air emission accounts; and, data sources.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users —in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Description: This course, presented by the IMF Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF's Government Finance Statistics Manual 2014 (GFSM 2014, the update of the 2001 edition), and on practical aspects of data compilation. The basic concepts, definitions, accounting rules, classifications and presentation tables of the GFS framework are discussed. The compilation and dissemination of comprehensive and cross country comparable GFS are explained. Finally, the course shows how to use GFS to evaluate the impact of government activities on a country's economy.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “Survey on Information and Communication Technology (ICT) Usage in Enterprises” on 17 December 2020 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. This webinar will cover the following topics related to the survey on ICT usage in enterprises: Concepts and definitions; Methodological base; Classifications; Coverage and statistical units; Survey design; Data collection; Measurement and analysis; and Dissemination The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
Source: World Bank (Data extracted on: 14 Jan 2021 )
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Organizer(s): World Bank
Description: Establishing National Data Systems is an integral part of the public data agenda which helps harvest the data dividend for government agencies. What then is the role and relevance of National Statistical Systems (NSS), which have been the incumbent supplier of data and information for many decades? Will the NSS be subsumed under the National Data System and become increasingly marginalized? How can the NSS' role be better defined against a rapidly developing landscape? This seminar will discuss the risks and opportunities for the NSS within the context of the public data agenda, and what adaptation strategies and expectations the NSS must strive to meet.
Organizer(s): UNSD Federal Ministry for Economic Cooperation and Development Germany University of Cambridge United Kingdom
Description: Top global experts discuss why it’s time to move beyond GDP and value nature for its worth. Around the world, economic statistics tell a story of 100 years of progress. But they conceal a parallel story of mounting environmental pressures – climate change, pollution, and biodiversity loss – that undermine it. By omitting one of humanity’s greatest assets – nature – these statistics ultimately slow progress towards a sustainable, resilient future. As economies begin their recovery from the COVID-19 pandemic, we need to build back better by moving beyond GDP towards a system that recognizes all of society’s assets – natural, human, social, and institutional, harnesses their interdependencies, and delivers the 2030 Agenda. This webinar, co-hosted by the Bennett Institute for Public Policy at the University of Cambridge, the United Nations Department of Economic and Social Affairs and the Federal Ministry for Economic Cooperation and Development of Germany, brings together world-leading experts to discuss how natural capital accounting can help in the fight against climate change, biodiversity loss, and air pollution (responsible for over five million deaths a year). Panelists will discuss the economic rationale for placing nature at the heart of the recovery from COVID-19, highlighting a global UN-led effort to develop new statistics that reveal, rather than conceal, the impacts and dependencies of economies on nature. The resulting System of Environmental Economic Accounts - Ecosystem Accounting is expected to be adopted by the United Nations Statistical Commission in 2021, providing high-quality, rigorous data on biodiversity, ecosystems and the environment-economy nexus.
Government Finance Statistics and Public Sector Debt Statistics
15 Dec 2020 – 15 Dec 2020
Source: IMF Metac (Data extracted on: 24 Feb 2021 )
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Organizer(s): IMF Metac IMF
Description: METAC and the IMF Statistics department hosted a regional webinar on Government Finance Statistics (GFS) and Public Sector Debt Statistics (PSDS) for decision and policymaking. Participants benefitted from an overview of the internationally-accepted framework for compiling and disseminating GFS and PSDS and discussed the challenges they face, which varied from basic compilation of central government fiscal statistics to data consolidation for a broad definition of government and its entities. The webinar was attended by development partners, and revealed possibilities and priorities to enhance capacity building efforts towards broader and better GFS and PSDS compilation in the region. The lessons from the webinar will be used to draft a METAC Regional Note and inform its capacity development planning over the next few years.
Description: Background The COVID-19 pandemic is challenging country mortality information systems in unprecedented ways, while also highlighting the necessity for accurate, timely and reliable mortality data. As the pandemic continues, countries are turning to stop-gap measures to collect reliable data in a timely manner, as well as using the pandemic as an opportunity to reassess and strengthen their CRVS system. The Stats Café highlighted Bangladesh’ experiences of using a rapid mortality surveillance system to provide a solid platform upon which they can build a universal and responsive death registration system in the future. Speakers Gemma Van Halderen, Director, Statistics Division, ESCAP Romain Santon, Regional Deputy Director, CRVS Improvement Program Vital Strategies Anushka Mangharam, Technical Advisor, CRVS Improvement Program Vital Strategies Mohammad Adnan Khan, Assistant Chief (Medical), Management Information System of Directorate General of Health Services, Bangladesh Moderator Martin Bratschi, Deputy Director, Technical Implementation, CRVS Improvement Program Vital Strategies --------------------- >> See others Asia-Pacific Stats Café series
Government Finance Statistics and Excessive Deficit Procedure - Part II
14 Dec 2020 – 18 Dec 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Statistics Finland
Description: The objectives of this course are: * to improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * to examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP). ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This is a comprehensive training course that covers application of R in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in data management, analysis and interpretation.
Target Audience: Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: On 2 December 2020, Statistics South Africa releases the Land and Terrestrial Ecosystem Accounts, 1990 to 2014, the first publication in its new Natural Capital series. These accounts are a first of their kind for South Africa and have been produced as part of the Natural Capital Accounting and Valuation of Ecosystem Services (NCAVES) project, which was launched in 2017 by the United Nations Statistics Division (UNSD) and United Nations Environment Programme (UN Environment) with funding from the European Union (EU). South Africa is one of five countries (along with Brazil, China, India and Mexico) participating in this international project, which aims to advance the global knowledge agenda and initiate testing of SEEA Experimental Ecosystem Accounting. In South Africa, the NCAVES project has been led jointly by Statistics South Africa (Stats SA) and the South African National Biodiversity Institute (SANBI),in collaboration with the Department of Environment, Forestry and Fisheries (DEFF) and a range of national and sub-national stakeholders. This webinar will provide an overview of the approach, methods and results from the Land and Terrestrial Ecosystem Accounts.
Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “Survey on Information and Communication Technology (ICT) Usage in Households and Individuals” on 10 December 2020 in collaboration with the Turkish Statistical Institute (TurkStat) with the participation of official statisticians working in National Statistical Offices of the OIC countries. This webinar will cover the following topics related to the survey on ICT usage in households and individuals: Concepts and definitions; Methodological base; Classifications; Coverage and statistical units; Data collection; Measurement and analysis; and Dissemination. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
Title in Spanish: Webinario sobre Cómo construir y sostener indicadores de biodiversidad
Organizer(s): ECLAC
Description: El propósito de esta actividad es revisar conceptos y fundamentos de para la elaboración de estadísticas e indicadores oficiales de biodiversidad e intercambiar experiencias en el desarrollo de estas métricas por parte de instituciones asociadas de Chile y México.
Description: UNSD in collaboration with ECLAC, WTO, UNCTAD will conduct Regional Workshop on Statistics of International Trade in Services. The workshop aims to assess implementation of SITS 2010 and at the same time to share the latest development on the measurement of Digital Trade.
Description: (9:00am Mexico City, 10:00am New York, 12:00pm Chile, 4:00pm CET) The objectives of the workshop are the following:
a. advance in the implementation of the Manual on Statistics of International Trade in Services 2010 (MSITS 2010) recommendations, especially with an in-depth focus on most challenging categories of Trade in Services; b. enhance capacities to produce high quality data and meet an increased demand for timely and relevant data for policy needs in the Decade of Action and era of Covid-19 pandemic; c. raise awareness of the development of a statistical conceptual framework for measuring digital trade in services; and d. build capacities of national statistical offices and other relevant agencies in the use of technology for SITS.
The workshop is also an opportunity for countries to share their experiences and challenges in the compilation of SITS, especially on challenging categories.
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Description: Within its recently initiated Webinar Series on Statistical Experience Sharing, SESRIC will organise a webinar on “Tobacco Questions for Surveys (TQS) and Tobacco Questions for Surveys of Youth (TQS-Youth)” on 9 December 2020 in collaboration with the Centers for Disease Control and Prevention (CDC) and CDC Foundation with the participation of official statisticians working at the National Statistical Offices of the OIC countries. The objectives of this webinar are to provide: an introduction of TQS and TQS-Youth; an overview of how tobacco questions can be integrated into adult and youth surveys; and examples for how TQS and TQS-Youth data can help inform tobacco control and prevention strategies. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. Documents: Concept Note (English)
Description: During our next Global Network Webinar session Elena Proden (UNITAR) and Gabriel Gamez (UNSD) will present on StaTact - A tool for quick and cost-effective solutions to address pressing data needs. As NSOs have been experiencing disruptions in some of the important statistical activities due to the COVID-19 situation, the importance of short-term approaches and quick problem-solving has grown in relevance. StaTact developed by UNITAR in close collaboration with UN Statistics Division offers exactly such a tool rooted in a tactical approach to statistical planning. This tool provides a collaborative environment for members of National Statistical Systems and users to meet online to easily set up their Working Groups with national and international stakeholders and discuss measurement issues at hand. By the end of the process, Working Groups will be able to develop up-to-12 month action plans based on the root case analysis, as well as monitor their implementation and mark progress. The relevance of StaTact goes beyond the pandemic context. It is really about supporting operational, annual level programming and implementation. StaTact leverages two key models: GSBPM and GAMSO, and can be a useful tool to overcome bottlenecks and build consensus of key stakeholders on possible solutions to addressing difficult data issues that, as one user pointed out, may have been discussed multiple times before, but are for the first time really addressed at their core.
Description: About the session Numbers of refugees, asylum seekers and internally displaced person (IDPs) have increased rapidly in recent years. Moreover, many countries in the Asia-Pacific region are affected by forced displacement either as a source, point of transit, or host of refugees, asylum seekers or IDPs, making forced displacement a global regional and national phenomenon. Turkey hosts some 3.9 million refugees and asylum-seekers, the most of any country in the world. Particular challenges with data on displacement and asylum include the lack of common definitions and harmonization and the scattering of data among different stakeholders, the political nature of displacement and asylum where poor data can contribute to misperceptions and distort public opinion, and the difficulties in reporting on hard to reach and marginalized populations. This Stats Café brought together experts from international and regional organizations and national governments to discuss experiences in producing and using displacement and asylum statistics. Speakers: Welcome: Ms. Gemma Van Halderen, Director, Statistics Division, ESCAP Expert Group on Refugee and Internally Displaced Persons Statistics (EGRIS): Ms. Vibeke Oestreich Nielsen, United Nations Statistics Division Australian Census and Migrants Integrated Dataset (ACMID): Mr. Lev Makaev, Australian Bureau of Statistics International Migration Statistics based on Administrative Registers: Ms. Dilek Yilmaz, Turkish Statistical Institute Reaching Refugee Populations through Official Statistics: Mr. Alessandro Telo, UNHCR Questions and answers: Ms. Petra Nahmias, Statistics Division, ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Integration of statistics and geospatial information - from geocoding to statistical maps
07 Dec 2020 – 17 Dec 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Sogeti
Description: The objectives of this course are: * The course will introduce the theoretical and practical knowledge of geospatial information and its use for statistics, including for statistical maps. * The main focus will be on integrating statistical and geospatial data for analysis and visualisation. * Understand the potential of spatial analysis. * Additionally participants will learn the techniques and (online) tools for creating and publishing statistical maps. * Gain hands-on experience with GIS and map making.
Target Audience: * Statisticians involved in the production and analysis of statistical data. * Who want to learn how to geo-enable and present statistical maps. * Who want to learn basic principles of spatial analysis using statistical data and an Open Source GIS software (QGIS). ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This course, presented by the Statistics Department, provides training on the methodology for compiling and disseminating CBPS, including the integrated IIP and memoranda and supplementary position data items following BPM6 ; EDS, including currency composition, remaining maturity, and debt service schedule; the CPIS, including sectoral data; and the CDIS. The course consists of a series of lectures, discussions, and practical exercises. Lectures and class discussions focus on general concepts and compilation practices, while exercises provide participants with an opportunity to put knowledge learned into practice. Participants have the opportunity to discuss problems encountered in their compilation work and gain insights into the analytical uses of the international accounts. The course is based on the Balance of Payments and International Investment Position Manual, sixth edition (BPM6) , the 2013 External Debt Statistics: Guide for Compilers and Users , the 2010 CPIS Guide , and the 2015 CDIS Guide .
Description: 8th International Conference Use of R in Official Statistics Side events include the unconfUROS hackathon and an R crash course. The call for abstracts for presentations and tutorials is published on the conference's website www.urosconf.org.
Source: IOM GMDAC (Data extracted on: 14 Feb 2021 )
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Organizer(s): IOM GMDAC STATAFRIC Statistics Sweden
Description: The African Union Institute for Statistics (STATAFRIC), Statistics Sweden and IOM's Global Migration Data Analysis Centre (GMDAC)are pleased to invite you to their first "Online African School on Migration Statistics" that will be held online on 2—4 December 2020.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Economic and Social Commission for Asia and the Pacific (ESCAP) jointly with partners organized a series of regional Workshops on Implementing Data Integration in Asia and the Pacific. Two rounds of identical workshops with the same content were organised at the following dates and hours, duplicated to accommodate participants from different time zones. ROUND 2 (preferably for countries from eastern part of the region) 1 December (08:00-11:00 BKK time) Data integration from a management perspective Target group: managers, with experts to participate as observers 2-4 December (08:00-11:00 BKK time) Technical issues and solutions for data integration Target group: experts 4 December (13:00-14:00 BKK time) Concluding session Target group: both managers and experts Link to ROUND 1 (24-27 November 2020) These workshops aimed to strengthen awareness and capacity on data integration, with a focus on improving poverty-related statistics. They target official statisticians, both at the management and expert level, from National Statistical Offices (NSOs) as well as other parts of the National Statistical Systems (NSS).
Statistical Business Registers (SBRs) and their role in the statistical production
01 Dec 2020 – 03 Dec 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Devstat
Description: To provide the participants with statistical skillset on national and European SBRs, including: * a better understanding of SBR structure, units and management; * a better understanding of SBR roles and quality assessment; * a better understanding about the EGR process.
Target Audience: NSIs staff working on production of business statistics making use of SBRs at national and/or European level. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Sogeti
Description: The course will enhance the theoretical and practical knowledge of waste statistics validation approaches. The main focus will be on validation routines, looking at strengths and weaknesses in the chosen approaches and possibilities for shared responsibilities between countries and Eurostat. The course will explore possible ways of avoiding duplication of validation routines and in waste statistics and means of obtaining more effective statistics.
Target Audience: Staff members involved in the production of official waste statistics, advanced level. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The WTO, OECD and UNECA are organizing a joint online regional workshop from 30th November to 9th December 2020, aimed at developing the Statistical Capacity of Africa countries on Trade in Value Added (TiVA) and for integration of more African countries TiVA databases. The workshop is being organized within the joint collaborative framework of the three organization. The Workshop will gather statisticians and trade policymakers from pilot countries engaged in the joint project (Cameroon, Ivory Coast, Nigeria and Senegal) to initiate contacts with the project's experts and start discussions on statistical matters to be addressed during the project as well as directions for future technical assistance. The workshop will consist of a mix of plenary session and bilateral sessions with pilot country teams, to foster open discussions, notably on preliminary national data evaluation reports prepared by the OECD. Registrations for the workshop are done via the form behind the link below, no later than 26th November. https://events.uneca.org/registration/register?eventId=581574e9-d428-eb11-80e5-0050569360fe.
Description: This webinar, presented by the IMF’s Statistics Department, reviews the main methodological changes brought about by 2019 FSI Guide for the compilation of FSIs for deposit-takers, other financial corporations and the real sector. The webinar introduces new FSI reporting forms, as well as a new Concentration and Distribution Measures (CDM) template and reports on the migration of the historic data and metadata to the new reporting forms.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Building and updating an inventory of addresses is a challenge that blends handling high volumes of data, with homogenizing information from different institutions, and accessing information from non-traditional sources. Having a good inventory of addresses makes it easier to update master sample frames for household surveys, and to plan field work for data collection in general. It also opens the door to innovations such as web based responses.
Target Audience: National statistical offices, government officials that deal with official statistics production and/or dissemination, policy makers, employees from International Organizations that deal with statistical capacity building, researchers
Description: About the session This session explored how the NSOs use big data and data science in the production and improvement of economic indicators (i.e., scanner data and web scraping for the CPI) and how they develop data partnerships with the private sector. Agenda Welcome remarks: Tanja Sejersen, Statistician, Statistics Division, UN ESCAP Speakers: Mazliana Mustapa, Principal Assistant Director, Department of Statistics, Malaysia Gary Dunnet, Deputy Chief Methodologist, Statistics New Zealand Tom Smith, Director, Data Science Campus, UK Office for National Statistics Moderator: Irina Bernal, Consultant, UN ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Activity and Product Classifications: description, use and implementation
25 Nov 2020 – 04 Dec 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Sogeti
Description: The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic classifications, their differences and methods of harmonisation. The course should also provide participants with sound confidence for a current use of economic classification.
Target Audience: All staff responsible for the development and application of national activity and product classifications as well as for staff applying economic classifications in business registers or dealing with business statistics and National Accounts. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: UNSD held the first Communication Training on the Global Network. Ms. Brigitte Perrin, the communication consultant in UNSD, presented the main principles of delivering a presentation for an online-only audience. In addition, a few topics on hosting online webinar were covered including: the specificities of a virtual audience; how best to structure our content; create our own "to-do-list" that includes technical setup; and review examples of webinars held by statisticians or data officers. Finally, she provided tips to engage with the audience and prepare meaningful take-aways.
Description: Economic and Social Commission for Asia and the Pacific (ESCAP) jointly with partners organized a series of regional Workshops on Implementing Data Integration in Asia and the Pacific. Two rounds of identical workshops with the same content were organised at the following dates and hours, duplicated to accommodate participants from different time zones. ROUND 1 (preferably for countries from western part of the region) 24 November (12:00-15:00 BKK time) Data integration from a management perspective Target group: managers, with experts to participate as observers 25-27 November (12:00-15:00 BKK time) Technical issues and solutions for data integration Target group: experts 27 November (17:00-18:00 BKK time) Concluding session Target group: both managers and experts Link to ROUND 2 (1-4 December 2020) These workshops aimed to strengthen awareness and capacity on data integration, with a focus on improving poverty-related statistics. They target official statisticians, both at the management and expert level, from National Statistical Offices (NSOs) as well as other parts of the National Statistical Systems (NSS).
Description: The meeting was the fourth in the series of regional workshop planned to present the Operational Guidelines of the WCA 2020 to the FAO member countries in different parts of the world.
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat
Description: The course aims at enhancing participants' theoretical and practical knowledge of Quality reporting. Using the "ESS Handbook for Quality Reports (2014 edition)" as a reference, participants will develop understanding and will become acquainted with the practices of how to prepare detailed ESS quality reports for the different types of statistical processes. In addition, they will develop knowledge of and will receive an insight into the standard reporting structures (Single Integrated Metadata Structure and its ESMS and ESQRS components) and their metadata environment ESS Metadata Handler.
Target Audience: Staff of National Statistical Institutes (including newcomers) involved in the statistical production process who want to acquire in-depth understanding of Quality reporting. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: The Africa NCA Community of Practice (CoP) is starting a new series of webinars to showcase experiences of different countries in their NCA journeys. These webinars will allow member countries to speak about their work on developing natural capital accounts and how the results of this work are informing policy and development planning, decisions, and strategies. Uganda will open this series. Uganda, one of the countries supported by the World Bank WAVES partnership, has developed accounts for land, forests, and ecosystems. Uganda has also worked on just-in-time issue papers on relevant issues. As a result of the WAVES support, Uganda’s Ministry of Finance, Planning and Economic Development developed a set of adjusted macroeconomic indicators showing the adjusted net national income and adjusted net savings; the first iteration was produced in 2019, and second iteration was produced in 2020. Remarkable progress has been made by Uganda in NCA over the last two years; this is also demonstrated by the choice to include NCA in its new five-year National Development Plan as well as a growing community of practice on NCA nationally.
Description: Within the framework of its Statistical Capacity Building (StatCaB) Programme, SESRIC will organise a webinar titled “Enhancing Food Security in OIC Countries: An Overview of the Food Balance Sheet” on 24 November 2020 in collaboration with the Food and Agriculture Organization of the United Nations (FAO) with the participation of official statisticians working in National Statistical Offices of the OIC countries. Ms. Rachele Brivio and Mr. Tomasz Filipczuk, Food Balance Sheet (FBS) experts at Crops, Livestock and Food Statistics (CLFS) Team of FAO will introduce the new FBS methodology including its links with the SDGs to the participants. The webinar will be conducted through a video conferencing platform by following synchronous learning and instruction approaches designed in line with the virtual training solutions undertaken by SESRIC in order to better serve the Centre’s training activities and keep participants motivated and engaged during this time of global crisis due to COVID-19. For more information on SESRIC Statistical Capacity Building (StatCaB) Programme, please visit: http://www.oicstatcom.org/statcab.php Webinar Documents: Concept Note and Agenda (English)
Description: The Training of Trainers aims to support Cambodia in strengthening the capacity, ownership and autonomy of its agricultural statistical system.
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat EFTA
Description: The main objectives of the course are: * introduce the GSBPM and how it applies to quality control in NSI’s; * introduce R and its basic functions; * present how R can be used within NSI’s for processing, analyzing and creating output for users; * introduce the tidyverse and how it can be used for data wrangling; * present ggplot and how it can be used to produce graphs; * introduce Rmarkdown and how to write reports through R.
Target Audience: Statisticians working in the production of official statistics, especially data processing and analysis. No specific experience within official statistics is necessary. The course should both be relevant for junior as well as senior statisticians. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: About the Café Administrative data are underutilized in official statistics. Challenges abound. The Café discussed how Bhutan, Cambodia, and Myanmar make use of this powerful data source and how others may replicate their experiences. Sharing their experiences and perspectives, the session explored questions such as: What can and what cannot be measured with administrative data? Should added use of admin data be part of a strategy to minimize surveys and censuses? Advancing the use of administrative data for official statistics: What is the recipe for success? This is the third Stats Café showcasing outcomes from the Regional Programme for Economic Statistics (RPES). The programme supported the use of administrative data for more relevant price statistics in Bhutan, more comprehensive national accounts in Cambodia, and to establish a statistical business register in Myanmar. Insights from each country highlighted challenges and mechanisms required to effectively produce quality and reliable official statistics using administrative data. Speaking: Mr. Penjor Gyeltshen, Deputy Chief Statistical Officer, National Statistics Bureau, Bhutan Mr. Thy Veun, Deputy Director, National General, National Institute, Cambodia Mr. U San Myint, Director General, Central Statistics Organisation, Myanmar Discussant: Ms. Vibeke O. Nielsen, Inter-regional adviser, UNSD Moderator: Ms. Rikke Munk Hansen, Section Chief, Statistics Division, UNESCAP Background documents: Report on RPES Replication Studies Report: Producing Import and Export Price Indices (XMPI) in Bhutan |English| Report: Developing a Statistical Business Register (SBR) in Myanmar |English|Burmese| --------------------- >> See others Asia-Pacific Stats Café series
Description: In response to the COVID-19 pandemic, a number of economies have seen their banking sector engage in loan restructuring—providing borrowers breathing room to face this severe negative shock. However, when conducted in large scale this type of forbearance can create uncertainty on the viability of the banking sector. So that, for financial stability monitoring purposes, it is important to properly account for these actions in FSI compilation.This webinar clarifies the treatment of restructured loans—in response to COVID-19—for Financial Soundness Indicator (FSI) Compilation. It also reviews foundational accounting and regulatory practices related to loan loss classification and provisioning for restructured loans. Finally, the webinar introduces a tool to track the evolution of restructured loans to for macro-financial monitoring purposes.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
2021 International Comparison Program for Asia and the Pacific: Online Training with Bangladesh Bureau of Statistics; National Bureau of Statistics of China, the People’s Republic of China; and National Statistics Office of Mongolia
The Use of R in Official Statistics: model based estimates
17 Nov 2020 – 20 Nov 2020
Source: Eurostat (Data extracted on: 06 Aug 2020 )
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Organizer(s): Eurostat GOPA
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat GOPA
Description: The course will build on the introduction to BOP by focusing on the conceptual framework and practical implementation of two key accounts - trade in services and foreign direct investment. The course will also introduce Foreign Affiliates Statistics (FATS) and trade in services by Mode of Supply (MoS). The learning will be reinforced by group discussion and specific exercises.
Target Audience: All those with an interest in understanding the concepts, sources and methods used to compile External Sector Statistics, including the Balance of Payments. The course is targeted at staff working in National Accounts (NA) and Balance of Payments (BoP) departments in both National Statistical Offices and National Central Banks, as well as general users of the data. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Why are national SDG data and metadata platforms so important? As part of the series on Building Strong Data Ecosystems for SDGs series, we held a webinar on National SDG Data Platforms on 17 November from 8:00-9:15am New York time. The value of national SDG data platforms was discussed from the perspective of both users and NSOs. Kyrgyzstan and Zimbabwe, who have recently developed their national platforms were presenting their experiences. We explored how those interested in developing a platform can move things forward, highlighting some of the tools available to do this. If you’re from an NSO or RCO in a country that hasn’t yet developed a national data platform for the SDGs, this is the perfect opportunity to learn more and get inspired. If you already have a data platform in place, we’d love to hear about your experiences. You may also get inspired by new ways of developing your platform even further!
Source: UN Women (Data extracted on: 18 Nov 2020 )
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Organizer(s): UN Women World Bank
Description: The webinar aims to provide a venue for various partners – government and non-State actors – of UN Women and the World Bank to share learning experiences on and use cases of their COVID-19 data collection initiatives with focus on gender dimensions. It will feature learning from World Bank’s high-frequency phone surveys in Latin America and the Caribbean, and UN Women’s rapid gender assessments in Afghanistan, where face-to-face interviews have to be undertaken in partnership with the International Rescue Committee to reach the furthest behind. Bridging the gap between data production and use, the Webinar will also showcase use cases of these surveys in Maldives, Bangladesh, and Jordan.
Development and use of indicator systems for evidence-based decision making in the context of SDG monitoring and other areas
16 Nov 2020 – 20 Nov 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat EFTA
Description: The objectives of this course are: * to provide participants with a theoretical and methodological background on the development of indicator systems, especially in the context of monitoring SDGs; * to build up a common understanding of terms, definitions, as well as the role and limits of official statistics in the construction and maintenance of indicator systems; * to provide knowledge about the links between policy makers and other users of indicators and the statistical community providing data and indicators.
Target Audience: Staff members working in the field of monitoring the UN Sustainable Development Goals (SDGs) or of economic, social or environmental statistics who are or who will be involved in indicator systems or who need to extend their knowledge on how to use indicators and indicator systems. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Compilation of External Sector Statistics during the COVID-19 Pandemic
16 Nov 2020 – 19 Nov 2020
Source: IMF Metac (Data extracted on: 24 Feb 2021 )
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Organizer(s): IMF Metac Center of Economics and Finance
Description: A virtual regional workshop on the “Compilation of External Sector Statistics (ESS) during the COVID-19 Pandemic” was conducted jointly with the Center of Economics and Finance (CEF). The workshop focused on (i) the implications of the pandemic on the collection, compilation, and dissemination ESS; (ii) ways to address the challenges to ensure the continuity of ESS; and (iii) provide practical guidance to participants on the recording of transactions related to COVID-19 debt relief. Thirty-three officials from fifteen countries attended the workshop.
Description: Agenda Opening remarks: Ms. Gemma Van Halderen, Director, Statistics Division, UN ESCAP Introduction: Arturo Martinez, Statistician, Statistics and Data Innovation Unit, ADB GeoSpatial Data for Agriculture at the Ministry of Agriculture and Rural Development of Viet Nam: Dr. Do Minh Phuong, Senior Researcher, Ministry of Agriculture and Rural Development, Viet Nam Mapping poverty through Data Integration and Artificial Intelligence: Ms. Anna Jean C. Pascasio, Senior Statistical Specialist at the Poverty and Human Development Statistics Division of the Philippine Statistics Authority and Ms. Budsara Sangaroon, Group Director of Statistical Analysis in Social Sector of the Statistical Forecasting Division of the National Statistical Office of Thailand Discussant: Dr. Romulo Virola, Secretary General of the former National Statistical Coordination Board of the Philippines Q/A and discussion: moderated by Mr. Arturo Martinez. Relevant Publications: Earth Observations for a Transforming Asia and Pacific Use of Remote Sensing to Estimate Paddy Area and Production – A Handbook Mapping Poverty Through Data Integration and Artificial Intelligence
Description: Policy action to curb illicit financial flows and secure resources for sustainable development require better data and better understanding of IFFs. As an illicit phenomenon, IFFs are not easy to track or measure. Common statistical concepts and methods are needed to measure IFFs regularly, and in line with the Fundamental Principles of Official Statistics. The session shared the latest progress and a conceptual framework to measure IFFs, and invited African countries to pilot test the measurement of IFFs, jointly with UNECA, UNCTAD and UNODC.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need for integration of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
2021 International Comparison Program for Asia and the Pacific: Online Training with National Institute of Cambodia; Lao Statistics Bureau of Lao People’s Democratic Republic; Trade Policy and Strategy Office, Thailand; and General Statistics Office of Viet Nam
Description: This course aims to enhance national capacities to produce and collect data on informal employment and categories of informal workers as part of the diagnostic phase of the above intervention model. The course also aims to promote the collection of data on the number of entrepreneurs and economic units in the informal economy, and their characteristics, as an integral part of national labour statistics, following R.204 guidelines on promoting formalization at national level.
Target Audience: The course targets statisticians, labour analysts and policy-makers from ministries of labour and other ministries (including but not limited to social protection, planning, agriculture and finance), and from workers' and employers' organizations.
Big data tools for IT professionals supporting statisticians
09 Nov 2020 – 30 Nov 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background and who are expected to handle big data infrastructure on their own. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Government Finance Statistics and Excessive Deficit Procedure - Part I
09 Nov 2020 – 13 Nov 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Statistics Finland
Description: The objectives of this course are: * to improve the capacity of national statistical services to produce high quality on GFS and EDP-statistics; * to examine the theoretical basis and structure of the European System of Accounts (ESA 2010) based GFS and EDP-data.
Target Audience: Participants from National Statistical Institutes, National Central Banks and Ministries of Finance working on Government Finance Statistics (GFS) and Excessive Deficit Procedure (EDP). ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Economic globalization, advancement in technology and the emergence of Big Data present many new challenges, but also new opportunities for International Trade Statistics in goods and services. Furthermore, the Covid-19 pandemic has made the measurement of digital trade and e-commerce more pertinent. The objective of the workshop is to assist countries in better understanding the concepts and definitions of IMTS-2010 and its implementation, but also improve capacity in new and emerging areas. More information is available from the Workshop website.
Description: There needs to be more discussion on the use of data-driven innovation in policy-making, e.g. exploring the role of public-private partnerships and how private-sector data can be leveraged, voluntarily, to provide evidence for informed policy-making. This session aims to uncover how data sharing can provide relevant tools for prevention and management of such global crises. Through break-group discussions the workshop will provide an opportunity for stakeholders to meet one another, share experiences and identify opportunities for multistakeholder collaboration. The workshop…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: About the session The second in a series of Stats Café sessions showcasing outcomes from the Regional Programme for Economic Statistics, this session gave perspectives and reflections from assessments and review of National Statistical Systems. It covered: Why should assessments and reviews be undertaken and what is involved? What do they reveal? What impact do they have? Experiences from Maldives and Sri Lanka and perspectives of a lead reviewer provided a basis for discussing the value of the national statistical reviews. Panelists & moderator: Ms. Aishath Shahuda, Chief Statistician, National Bureau of Statistics, Maldives Ms. Indu Bandara (PhD), Director-General, Dept. of Census and Statistics, Sri Lanka Mr. Gabriel Gamez, Inter-Regional Adviser – Organization and Management of National Statistical Systems, UN Statistics Division, Dept. of Economic and Social Affairs (DESA) Ms. Rikke Munk Hansen, Chief, Economic and Environment Statistics Section, Statistics Division, ESCAP Background documents Report: Review of the National Statistical System of Sri Lanka Report: Review of the National Statistical System of the Maldives Replication Study: Documentation of process and results: Reviewing the National Statistical System of the Maldives 2020 --------------------- >> See others Asia-Pacific Stats Café series
Description: The United Nations Economic Commission for Africa (ECA) will be organizing a Webinar for Ministers of Finance of African Member States on Wednesday 4 November 2020 from 1:00pm to 2:30pm (Addis Ababa time, GMT+3) to present and discuss recent developments on consumer price indexes, with a particular focus on food items from the basket of consumers. Consumer Price Index (CPI) is a basic yet essential economic indicator. It is relevant to every citizen and fundamental for policymaking on consumption, trade, inequality, interest rate, and foreign exchange rate. The overall CPI in a country is a combination of the price indices of different consumption functions which, at various degrees, contribute to the overall price levels. Food component of CPI is instrumental in keeping in check the basis of the objective of the Sustainable Development Goals (SDGs) and Agenda 2063 in eliminating hunger and combating poverty on the African continent. CPI and inflation figures compiled and disseminated in a timely manner contribute greatly to appropriate policy interventions and actions. Consequently, after the launch of the “ECA Price Watch Centre for Africa” ECA aims to present the latest extension and Africa-wide findings that are relevant to its leaders at country, regional and continental levels.
Title in Spanish: Producción y uso de estadísticas e indicadores de género
Organizer(s): ECLAC UN Women
Description: La División de Asuntos de Género de la CEPAL, junto a ONU-Mujereres, y en colaboración con el Departamento Administrativo Nacional de Estadística (DANE) de Colombia, dio inicio el día 3 de noviembre al curso Producción y uso de estadísticas e indicadores de género, orientado a profesionales pertenecientes a entidades productoras y organizaciones usuarias de estadísticas, que se realiza en el formato online entre la mencionada fecha y el 13 de diciembre. Esta edición contará con 50 participantes, en su mayoría del sector público. Se propone fortalecer conocimientos, capacidades y habilidades frente a la producción, el análisis y la utilización de las estadísticas de género en clave de la planificación, la implementación y la evaluación de políticas, así como del monitoreo de los Objetivos de Desarrollo Sostenible.
Description: The Economic and Social Commission for Asia and the Pacific (ESCAP) and the United Nations Statistics Division (UNSD) organized virtual workshops to discuss benefits and challenges of utilising PHC and CRVS data in monitoring SDGs. Two rounds of identical workshops were delivered on: Round 1: 27-30 October, 07:00-10:00 a.m. (Bangkok time). Round 2: 3-6 November, 11:00 a.m.-14:00 p.m. (Bangkok time). The workshops also provided a platform to further elaborate on utilising PHC and CRVS statistics for disaggregating SDG indicators and discuss the use of geospatial information and tools for generating relevant SDG indicators from CRVS and census data. Ultimately the workshops would help to achieve a common and improved understanding of definitions and method of computation of SDG indicators. The following issues were discussed during the workshops: SDG indicators that can be directly measured or estimated approximately using existing census or CRVS data based on the internationally recommended topics; Challenges related to the use of census and CRVS data for the measurement of indicators and analytical strategies to mitigate or overcome those challenges; Advantages of census and CRVS data for the disaggregation of the SDG indicators and, where applicable, some of the precautions needing to be addressed; Geospatial information and tools for generating and disaggregating SDG indicators using census data.
Inaugural BD4M Webinar Series: Estimating migrant stocks and flows using social media data
03 Nov 2020 – 03 Nov 2020
Source: IOM GMDAC (Data extracted on: 18 Nov 2020 )
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Organizer(s): IOM GMDAC EU New York University United States
Description: "Estimating migrant stocks and flows using social media data" is the inaugural webinar of the BD4M Webinar Series: Harnessing Data Innovation for Migration Policy.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This course aims to build institutional capacities to design effective systems for comprehensive, timely and high-quality labour market data production and analysis that supports evidence-based policy formulation.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: About the session The use of modern technologies, such as mobile phones or social media generate data about people’s movements, activities and opinions. When analyzed in a privacy-preserving manner, these data could translate into valuable insights and statistics to inform public policy. National statistical offices in Asia-Pacific region have been exploring ways of generating social and demographic statistics from big data sources, with most pilots focusing on human mobility and migration statistics. This session showcased several country examples in Asia-Pacific region of compiling social and demographic statistics using big data, in particular the mobile phone data. The discussions focused on data access and privacy, big data integration, and scaling up big data pilots. Speakers Edi Setiawan, Head of Population & Labor Mobility, Statistics Division, BPS-Statistics Indonesia Rajius Idzalika, Data Scientist, Pulse Lab Jakarta Linus Bengtsson, Executive Director, Flowminder Foundation Tanja B. Sejersen, Statistician, Statistics Division, ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Description: The Regional Programme for the Improvement of Economic Statistics in Asia and the Pacific (RPES) seeks to strengthen national capacity to deliver basic training on economic statistics. In support, ESCAP during 2018-2019 developed a recommended curriculum and training package based on the RPES Core Set of Economic Statistics. Prospective trainers from Lao Peoples’ Democratic Republic, Maldives and Nepal were trained in 2019 to design and deliver training using the RPES training package. The newly trained trainers went on to use the training package to conduct a total of five national trainings in late 2019. To expand the use of the training package and share experiences with its application for national training, ESCAP Statistics Division and ESCAP-SIAP organized a regional training of trainers for (a) expert trainers from the Network for the Coordination of Statistics Training in Asia and the Pacific who plan to venture into economic statistics training; and (b) experienced economic statisticians from selected countries who plan to deliver training on economic statistics to relevant staff of their national statistical system.
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: As part of the Africa NCA Community of Practice (CoP), the United Nations Environment Programme (UNEP) offers to host a webinar on the subject of “The Use of Natural Capital Accounts in Policy Scenario Analysis”. This webinar is inspired by ongoing work, jointly with United Nations Statistics Division, to develop “Guidelines on the use of ecosystem accounts in policy scenario analysis in the context of SEEA EEA” as part of the EU-funded Natural Capital Accounting and Valuation of Ecosystem Services (NCAVES) project. We are delighted that Andrea Bassi, Founder and CEO, KnowlEdge Srl and extraordinary associate professor of System Dynamics Modelling at Stellenbosch University will present his work on development of the guidelines and experience in application of the modelling techniques in examples from Africa. We are honoured that Josephine Musango, Professor with the School of Public Leadership, Stellenbosch University will share her experiences of systems dynamics modelling using natural capital accounts.
Description: While the pandemic has resulted in considerable data collection challenges, surveys can also play a crucial role in understanding the social, economic, and health impacts of COVID-19. This was the first Building Strong Data Ecosystems for SDGs webinar – Household Surveys given by Ms. Haoyi Chen, the coordinator of the Inter-Secretariat Working Group of Household Surveys (ISWGHS). The webinar took place on Wednesday, October 28th, at 8:00 am NY time. Watch this webinar and learn: • The role of household surveys in supporting the SDG monitoring; • How household surveys adapt and contribute to policymaking during the COVID-19 pandemic; • Are we moving to a post-COVID “new normal” for household surveys? We would also like to learn from you: • What areas of household surveys would you like to learn more about? • What support would you need from the Intersecretariat Working Group on Household Surveys?
Description: The Economic and Social Commission for Asia and the Pacific (ESCAP) and the United Nations Statistics Division (UNSD) are organizing virtual workshops to discuss benefits and challenges of utilising PHC and CRVS data in monitoring SDGs. Two rounds of identical workshops will be delivered on: Round 1: 27-30 October, 07:00-10:00 a.m. (Bangkok time). Round 2: 3-6 November, 11:00 a.m.-14:00 p.m. (Bangkok time). The workshops will also provide a platform to further elaborate on utilising PHC and CRVS statistics for disaggregating SDG indicators and discuss the use of geospatial information and tools for generating relevant SDG indicators from CRVS and census data. Ultimately the workshops will help to achieve a common and improved understanding of definitions and method of computation of SDG indicators. The following issues will be discussed during the workshops: SDG indicators that can be directly measured or estimated approximately using existing census or CRVS data based on the internationally recommended topics; Challenges related to the use of census and CRVS data for the measurement of indicators and analytical strategies to mitigate or overcome those challenges; Advantages of census and CRVS data for the disaggregation of the SDG indicators and, where applicable, some of the precautions needing to be addressed; Geospatial information and tools for generating and disaggregating SDG indicators using census data.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: About the session Technological advances in the use of population registers for the purposes of administration and service delivery has increased interest in establishing them or developing them further. At the same time, increased demand for timely and disaggregated data, such as for monitoring the 2030 Agenda for Sustainable Development, amplifies interest in population registers as a source of statistical data, especially with regards to up to date and granular population estimates. The COVID-19 pandemic has put a spotlight on the need to broaden statistical methods and sources, including the use of administrative data such as registers for statistical production. For example, it is impossible to calculate accurate and timely mortality rates, a key indicator of the impact of COVID-19, where the exposed population is not correctly known. This Stats Café brought together experts from international and regional organizations and national governments to discuss experiences using population registers as a critical source of population data while also recognizing their role in facilitating the realization of universal legal identity. Speakers Welcome Remarks – Petra Nahmias, ESCAP Population statistics from Population Registers: Experience from Norway and other countries – Mr. Helge Brunborg, Statistics Norway Producing Vital Statistics using Administrative Data in Singapore – Ms. Kua Hui Shan, Singapore I.R. Iran’s Population Registration at a glance – Mr. Sayed Mohammad Hosseini, I.R. Iran The Potential Use of Population Registers to Generate Socio-Demographic Statistics – Mr. Christophe Lefranc, UNFPA Questions and answers – Ms. Petra Nahmias, ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Description: Using a step-by-step approach, the course aims to equip national and international stakeholders with the necessary capacities to better measure and analyse labour migration and produce timely, high-quality, updated migration statistics based on internationally agreed standards and guidelines for evidence-based policy-making.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-government organizations.
Organizer(s): FAO Fishery Committee for the West Central Gulf of Guinea
Description: The workshop is organized by the Fisheries and Resources Monitoring System (FIRMS), which aims to provide access to a wide range of high-quality information on the global monitoring and management of...
Description: The Regional Programme for the Improvement of Economic Statistics in Asia and the Pacific (RPES) seeks to strengthen national capacity to deliver basic training on economic statistics. In support, ESCAP during 2018-2019 developed a recommended curriculum and training package based on the RPES Core Set of Economic Statistics.1 Prospective trainers from Lao Peoples’ Democratic Republic, Maldives and Nepal were trained in 2019 to design and deliver training using the RPES training package. The newly trained trainers went on to use the training package to conduct a total of five national trainings in late 2019. To expand the use of the training package and share experiences with its application for national training, ESCAP Statistics Division and ESCAP-SIAP organize a regional training of trainers for (a) expert trainers from the Network for the Coordination of Statistics Training in Asia and the Pacific who plan to venture into economic statistics training; and (b) experienced economic statisticians from selected countries who plan to deliver training on economic statistics to relevant staff of their national statistical system.
Description: The facilitated e-learning course on Statistics of International Trade in Services aims to provide basic concepts and definitions on trade in services based on the Manuals on SITS 2010. The participants will be able to interact with facilitators during the duration of the course.
Description: Data algorithms are critical tools that have brought benefits to the public and private sector and the broader Data Community. However, public trust in artificial intelligence-based Data Algorithms has faltered due to a lack of transparency in how Data Algorithms function and public involvement in decision making around how such Algorithms are used. In line with recommendation 3C of the report of the UN Secretary-General’s High-Level Panel on Digital Cooperation, the session will discuss challenges and solutions relating to the…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Purpose Celebrate World Statistics Day by recognizing the strength of the regional community of statisticians using the Regional Programme for Economic Statistics as an example. Agenda Open Stats Café: Ms. Rikke Munk Hansen Celebratory message: Ms. Gemma Van Halderen How regional support for statistics is impacting on development in Bhutan: observations from the United Nations Country Representative: Mr. Gerald Daly Reactions from the audience / importance of trust and connections How new price indices in Bhutan have increased trust: Mr. Penjor Gyeltshen Connections between countries: Replicating Bhutan’s approach in Laos PDR: Ms. Salika Chanthalavong Discussant (reflections on how regional and national connections help to build trust): Mr. Chris Pike Open discussion, Closing remarks: Mr. Gerald Daly and Ms. Gemma Van Halderen --------------------- >> See others Asia-Pacific Stats Café series
Description: This is a comprehensive training course that covers application of Excel in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: This session of the World Data Forum focuses on the modernization of statistical legislation in different regions of the world (Latin America and the Caribbean, Africa, Asia) and the tools adopted by countries to reduce gaps in their legal frameworks. These gaps are assessed on the basis of the United Nations Fundamental Principles of Official Statistics (UN-FPOS) and the guidelines derived from them. The gaps analysis also allows to have a qualitative approach about compliance with SDG indicator Nr. 17.18.2 ("Number of countries that have national statistical legislation that complies with UN-FPOS") and Objective 2.1 (“Modernize governance and institutional frameworks to allow NSS to meet the demands and opportunities of constantly evolving data ecosystems”) of Cape Town Global Action Plan for Sustainable Development Data. The objective of the session is, first, to make visible these gaps, together with learning about best practices adopted by countries to reduce them. Regarding the latter, particular interest lies in the strategic interactions in the public-private sphere and with civil society organizations to promote an improvement of the statistical regulatory framework, resulting in a greater availability of quality data. It is also important to discuss how international cooperation can promote a faster pace for these improvements.
Target Audience: National statistical offices, government officials that deal with official statistics production and/or dissemination, policy makers, employees from International Organizations that deal with statistical capacity building, researchers
Description: The side-event to the tenth session of the Conference of the Parties to the United Nations Convention against Transnational Organized Crime discusses measuring illicit financial flows from illegal markets as well as tax and commercial activities. UNODC and UNCTAD are custodians of SDG indicator 16.4.1 on illicit financial flows and have developed a conceptual framework defining what should be measured under the concept of illicit financial flows. The session shares first results of country pilots carried out in Latin America. Pilots are also being carried out in UNECA and UNESCAP regions. The session informs participants of the new conceptual framework, the results of first pilots, and plans going forward.
Description: FAO has joined forces with the Uganda Bureau of Statistics to develop and implement an approach that improve the availability of data on antimicrobial use in livestock farming.
Description: On this occasion, a space has been designated for the presentation of the integrated economic statistics systems of the region and a session to review the actions of the national accounts offices in the context of the COVID19 pandemic.
Description: About the session Earth Observation (EO) data constitute an invaluable resource for complementing traditional data sources for official statistics in support of the 2030 Agenda and more countries are integrating EO data into the production of official statistics. This session highlighted country examples from Asia-Pacific in producing environment-related official statistics using Earth Observation data. Presentations focused on methodologies, SEEA and SDG indicators, data sharing and collaboration across institutions, and the opportunities presented by Open Data Cubes for official statistics. In addition, ESCAP launched the Guideline on Land Cover Statistics using satellite data. Agenda: Welcome: Rikke Munk Hansen, Chief of the Economic and Environment Statistics Section, UNESCAP Launch of the Guide on Producing land cover change maps and statistics Compiling Ocean Account using Earth Observation data in Viet Nam: Viet Anh Hoang Open Data Cube at the service of the statistics community in the Pacific: Stuart Minchin Use of satellite data for official statistics: Gemma van Halderen Questions and answers: Rikke Munk Hansen Speakers: Viet Anh Hoang is a Researcher at the Research Institute of Forest Ecology and Environment, Viet Nam Academy of Forest Science with over 20 years of experience in forestry and GIS research Stuart Minchin is the Director-General of the Pacific Community (SPC) and previously served as Chief of the Environmental Geoscience Division of Geoscience Australia Gemma van Halderen in the Director of Statistics Division, ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Writing statistical texts with an impact for different audiences
13 Oct 2020 – 03 Nov 2020
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat Icon-Institut
Description: Main objectives of the course: to provide practical training in writing about statistics in clear and understandable language, with the aim to improve the attractiveness and efficiency of presenting statistics, with reference to the Code of Practice.
Target Audience: Staff responsible for drafting/writing press releases, statistical texts and articles for NSI’s publications/elaborations, for the web – Internet and Intranets, for social media or other types of communication channels. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat GOPA
Description: The course will provide an overview of the necessary steps in compiling a set of Supply Use Tables (SUTs) and their role in balancing national accounts. The course will present how to transform the Use matrix into symmetric form suitable for economic analysis. The second objective is to provide an introduction to input-output analysis, and how to use this analysis to support economic structural analysis and policy briefing. The learning will be reinforced by group discussion and practical exercises.
Target Audience: Statistical Office staff working in Economic Statistics units, who are interested in the principles of compiling Supply Use Tables (SUTs) according to ESA2010 and understanding the concepts and potential use of Input-Output analysis for empirical investigations of significant political relevance. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Gender-responsive trade policies require sound national statistics. To develop a coherent approach to measuring gender, entrepreneurship and trade using official statistics, and building on the existing statistical data and capacity of countries, UNCTAD, UNECE and UNECA launched the project "Data and statistics for more gender-responsive trade policies in Africa, Eastern Europe, Caucasus and Central Asia”. During this session, pioneering countries will present progress on linking gender, entrepreneurship and trade. The session also presented the goals of the new project to spearhead a dialogue among trade and statistics communities.
Description: About the session As part of the Road to the UN World Data Forum in Bern in 2021, this Stats Café focused on financing data for development. With only ten years left to achieve our 2030 Agenda for Sustainable Development, many countries still lack even the basic data required to understand the scope of their challenges, let alone create solutions. This Stat Café outlined some of the recent developments in financing data for development, including the Bern Network on Financing for Data Development, and discussed what support to National Statistical Systems could look like. The Road to Bern consists of a series of events leading up to the United Nations World Data Forum (UNWDF) in October 2021. Organized by the United Nations and the Swiss Confederation, the UNWDF is an event of global importance directly related to the 2030 Agenda for Sustainable Development. It provides a space for discussion between different communities of data producers and users to engage in a productive dialogue and identify ways to mobilise resources for data development. A virtual UNWDF will be held in October 2020 in preparation for the World Data Forum in Bern in 2021. Relevant Materials Accelerating Funding for Data and Statistics: 2020 UN World Data Forum Session video Introductory video on the Bern Network’s Clearinghouse for Financing and Development Data One-pager on the Bern Network’s Clearinghouse for Financing and Development Data Agenda Welcome: Ms. Gemma Van Halderen The importance of financing for data development as ex-Chair of the HLG-PCCB: H.E. Ayush Ariunzaya Road to Bern and importance of financing for data development for the 2030 Agenda: Mr. Thomas Gass Bern Network for Financing for Development: Mr. Johannes Jutting Bringing discussion to UNWDF 2020 and 2021: Ms. Francesca Perruci Concluding remarks: Mr. Pierre Hagmann Questions and Answers: Ms. Gemma Van Halderen Panelists H.E. Ayush Ariunzaya, Minister of Labour and Social Protection, Mongolia Mr. Thomas Gass, Head of the South Cooperation Department of the Swiss, Agency for Development and Cooperation Mr. Johannes Jutting, Executive Head of the Partnership in Statistics for Development in the 21st Century (PARIS21) and Secretariat for the Bern Network for Financing for Data Development Ms. Francesca Perruci, Chief, Development Data and Outreach Branch, UN DESA Statistics Division and Secretariat for the UN World Data Forum Mr. Pierre Hagmann, Deputy Head of Mission, Embassy of Switzerland in Thailand --------------------- >> See others Asia-Pacific Stats Café series
Title in Spanish: Webinar Experiencias de los países de la región de América Latina y el Caribe
Organizer(s): ECLAC OECD EU
Description: Este es el cuarto de una serie de cuatro seminarios virtuales que presentarán y discutirán aspectos conceptuales, metodológicos y prácticos implicados en la medición de la calidad de vida de las personas en base a sus percepciones y sentimientos, haciendo hincapié en su aplicabilidad y pertinencia en América Latina.
Source: World Bank (Data extracted on: 14 Jan 2021 )
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Organizer(s): World Bank
Description: Attempts to limit the spread of COVID-19 have taken a considerable toll on the global economy. Our study provides an overview of the labor market impacts of the pandemic among individuals in Ethiopia, Malawi, Nigeria and Uganda. The analysis is based on the data from the first wave of World Bank-supported phone surveys, conducted during the period of May-June 2020. Our headline findings are as follows: First, the impact on the labor market has been heterogenous across countries and is related to the stringency and compliance with government’s containment policies. In Nigeria 38% reported having stopped working due to COVID-19, while in Malawi this number is 6%. Second in all four countries, urban jobs were lost in higher proportion than in rural areas. Third, the commerce and services sectors were most affected throughout the four countries. Fourth, households have experienced substantial economic shocks following the pandemic. Increases in the price of major food items consumed, closure of nonfarm businesses, increases in the price of farming/business inputs, and decrease in output prices were most widely experienced. Fifth, to cope with the considerable economic shocks, households not only draw down their savings but also reduce food consumption. Sixth, after initial checks, phone surveys appear to provide a valid proxy for understanding labor market and income dynamics in these four countries during the pandemic. Lastly, phone surveys could be used more to quickly learn about the immediate reach of government policies to address the labor market impacts of COVID-19. The webinar will discuss these findings as well as upcoming work to continue monitoring the crisis in Ethiopia, Malawi, Nigeria, and Uganda.
Title in Spanish: Webinar Directrices de la OCDE sobre la medición de la confianza y el bienestar subjetivo
Organizer(s): ECLAC OECD EU
Description: Este es el tercero de una serie de cuatro seminarios virtuales que presentarán y discutirán aspectos conceptuales, metodológicos y prácticos implicados en la medición de la calidad de vida de las personas en base a sus percepciones y sentimientos, haciendo hincapié en su aplicabilidad y pertinencia en América Latina.
Description: This course, presented by the Statistics Department, covers theoretical and practical issues related to the compilation of accumulation accounts (capital accounts, financial accounts, other changes in volume of assets accounts, and revaluation accounts) and balance sheets according to institutional sectors. The course is based on the conceptual framework of the System of National Accounts, 2008 (2008 SNA). The aim of the course is to provide participants with the necessary skills to compile the sectoral accumulation accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues as well as workshops sessions on practical compilation issues. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral accumulation accounts and balance sheets, examine potential data sources for their compilation, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral accumulation accounts and balance sheets.
Target Audience: Officials whose main responsibility is compiling national accounts and financial accounts statistics (specifically sectoral accounts and accounts on a from-whom-to-whom basis), who are employed with national statistical agencies and central banks.
Introduction to experimental Ecosystem extent and Services Accounting based on SEEA-EEA
28 Sep 2020 – 08 Oct 2020
Source: Eurostat (Data extracted on: 06 Aug 2020 )
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Organizer(s): Eurostat Sogeti
Description: The objectives of this course are: * Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ national accounting (e.g. Gross Domestic Product). * Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).
Target Audience: National statistical bodies, environment departments and other national public environment bodies involved in constructing national ecosystem accounts. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Title in Spanish: Webinar La medición de la discriminación: cuestiones metodológicas y el programa estadístico de cara al futuro
Organizer(s): ECLAC OECD EU
Description: Este es el segundo de una serie de cuatro seminarios virtuales que presentarán y discutirán aspectos conceptuales, metodológicos y prácticos implicados en la medición de la calidad de vida de las personas en base a sus percepciones y sentimientos, haciendo hincapié en su aplicabilidad y pertinencia en América Latina.
Description: The webinar, organized by the African Development Bank, the Climate for Development in Africa Special Fund (CDSF), and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT(link is external)), aims to showcase the ability of earth observation and related infrastructure and tools to deliver severe weather, water and climate services across Africa at both regional and national scales. It will highlight the outcomes, benefits and impacts of the Satellite and Weather Information for Disaster Resilience (SAWIDRA) program. The presentations will also provide insight into other activities performed by Africa’s regional climate centers and a prospective view on future activities. The webinar will comprise two 1.5-hours sessions. In the first session, starting at 9.00 GMT, representatives from regional climate centers will give broad examples of how their respective centers have benefitted from earth observation. In the second session, starting at 13.00 GMT, presenters will provide details and case studies of their experience with earth observation. The prospects for monitoring climate, agriculture and water resources in a meteorologically uncertain future will also be discussed. The SAWIDRA program, implemented by the CDSF is part of a capacity-building initiative to reduce the risk of natural disasters in Africa. Since 2016, the SAWIDRA project has helped local communities across the continent to reduce the impact of natural disasters, using satellite data.
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This webinar series help GFS compilers understand the proper GFS recording of governments’ COVID-19-related interventions for the compilation of fiscal data that inform decision-makers and enhance evidence-based macroeconomic policies.Over the course of two sessions in two days, participants will be provided with:(i) a brief overview of the GFS framework; and (ii) an overview of the IMF’s Special Series Note on COVID-19 on How to Record Government Policy Interventions in Fiscal Statistics, with illustrations of the recording of country-specific interventions.In addition, participants will have the opportunity to share their countries’ experience with recording COVID-19 related policy interventions and learn from their peers.This two-part webinar is provided by experienced IMF staff with longstanding practical experience. Each session combines live instructions and interactive Q and A sessions.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: >> Call for Expressions of Interest to participate in pilot activities for measuring illicit financial flows for SDG Indicator 16.4.1 (PDF | MS Word) Measuring illicit financial flows is a challenging area of statistics and needs a robust yet practical measurement framework. In this café, we will hear from experts involved in developing an approach that has been successfully piloted in Latin America and is now being piloted in Asia and the Pacific. The café is an inception event for a two-year, $900,000 project to pilot the measurement of illicit financial flows in relation to selected illegal markets and activities. Project owners will share details of the project and invite you to submit an expression of interest to be part of the project. Speakers Mr. Enrico Bisogno, Head, Data Development and Dissemination Section, UNODC HQ. Mr. Steve MacFeely, Chief Statistician, UNCTAD. Ms. Salomé Flores Sierra Franzoni, UNODC-INEGI Center of Excellence for Statistical Information on Government, Crime, Victimization and Justice. Ms. Gemma Van Halderen, Director, Statistics Division UNESCAP. --------------------- >> See others Asia-Pacific Stats Café series
Title in Spanish: Webinar Medir las percepciones, evaluaciones y experiencias de las personas: ¿por qué son importantes y qué podemos aprender de ellas?
Organizer(s): ECLAC OECD EU
Description: Este es el primero de una serie de cuatro seminarios virtuales que presentarán y discutirán aspectos conceptuales, metodológicos y prácticos implicados en la medición de la calidad de vida de las personas en base a sus percepciones y sentimientos, haciendo hincapié en su aplicabilidad y pertinencia en América Latina.
Description: Civil registration (CR) is the recording of vital events in a person’s life (e.g., birth, death) and is a fundamental function of the national government. Birth registration establishes an individual’s legal identity at birth. Having a legal identity, name, nationality, proof of age, and the related are important human rights and enables individuals to exercise their rights (e.g., to vote) and enjoy various government, social, and private services. Vital statistics (VS) are statistics on these vital events and of the persons concerned. The availability of reliable and up-to-date VS depends on the level of development of CR. Having an effective CRVS system is critical for planning and monitoring programs across several sectors. Yet, over 110 low- and middle-income countries have deficient CRVS systems. This course provides practical tools and approaches to achieving 21st century state-of-the-art CRVS systems that are linked to identity management systems and tailored to local contexts. Completion of Modules 1-3 (Basic Level in the self-paced format https://olc.worldbank.org/content/civil-registration-and-vital-statistics-systems-self-paced) is a pre-requisite for the Facilitated format. The duration of the course is 6 weeks. Learners will receive an Advanced Level Certificate after successfully completing Module 5 (birth registration & adoption), Module 6 (death registration), plus three additional modules of the learner’s choice (4, 7, 8, 9, 10, 11, 12, or 13).
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Title in French: Cours d'apprentissage en ligne TrainForTrade sur les statistiques du commerce international des services Organisé conjointement par la DSNU et la CNUCED en coopération avec l'OMC
Organizer(s): UNSD UNCTAD WTO
Description: L'objectif de ce cours est d’améliorer la capacité des statisticiens du commerce à appliquer les recommandations les plus récentes du Manuel des statistiques du commerce international des services 2010 (MSCIS 2010) adoptées au niveau international, de définir les meilleures sources de données possibles, de mettre en place ou appliquer des systèmes de collecte, et de renforcer les processus de production statistique.
Description: Main goals of the course are to enhance the capacity of trade statisticians to apply the most recent internationally agreed recommendations as contained in the Manual on Statistics of International Trade in Services 2010 (MSITS 2010); to define best possible data sources; to set up or enforce collection systems; and to strengthen statistical production processes. Furthermore, the course would raise awareness of SITS and its concepts, enhance statisticians’ capacity, and help them to better understand the MSITS 2010.
Description: To respond to evolving demands for timely statistics, national statistical agencies are now stepping out of their comfort zone, aiming to discover new modalities, and exploring all potential data sources. Data integration pulls together data from different traditional sources such as censuses, surveys, and administrative data, as well as new sources of data It can provide more frequent, timely and disaggregated statistics, at lower cost compared to traditional approaches While this is promising, there are challenges on the way, including access to data, quality, interoperability, privacy and confidentiality, and limited technical capacity. This Stats Café brought together expert panelists with relevant experience, providing perspectives on different dimensions of data integration. Agenda Welcome: Ms. Gemma Van Halderen, director of UNESCAP Statistics Division UNECE’s work on Data Integration: A Journey to “Where?”, Mr. Steve Vale Data integration a new statistical frontier for official statistics, Dr. Siu Ming Tam Integrated Sector Accounts of Turkey, Ms. Aycan S. Özek Q/A and discussions Moderated by Ms. Afsaneh Yazdani Chair Ms. Gemma Van Halderen, Director, Statistics Division UNESCAP. Panelists Mr. Steve Vale, Regional Adviser in Statistics UNECE Dr. Siu-Ming Tam, Honorary Professorial Fellow University of Wollongong Ms. Aycan Sultan Özek, Head expert Financial Reporting Department, CBRT Q/A moderator Ms. Afsaneh Yazdani, Statistician, Statistics Division UNESCAP Relevant publications: Integrated Statistics: A journey worthwhile A Guide to Data Integration for Official Statistics Guidance on Data Integration for Measuring Migration Using Administrative and Secondary Sources for Official Statistics --------------------- >> See others Asia-Pacific Stats Café series
Description: The African Centre for Statistics of the United Nations Economic Commission for Africa (ECA), jointly with the Organisation for Economic Co-operation and Development (OECD) and the World Trade Organization (WTO) is organizing a Capacity Building Programme on TiVA. The programme consists of a series of capacity-building activities in three phases: an e-training module, a virtual webinar, and follow-up national workshops and technical assistance. The first phase, an e-training on the measurement of TiVA, will start on 15 September and conclude on 8 October 2020 on the platform of Microsoft Teams. The purpose of the capacity building programme is to strengthen the capacity of national statistical officers to develop, produce and update national statistics used for the construction of Inter-Country Input-Output (ICIO) tables and the compilation of TiVA and Global Value Chain (GVC) indicators, in accordance with internationally recommended methodologies, so that the resulting figures can better support trade analysis and facilitate policy-making. The e-training will be organised with 4 modules, over the course of four weeks in both English and French, with below topics and contents: (a) WTO-OECD-ECA joint project description and introduction to TiVA and GVC concepts, indicators and key policy messages (b) National statistical requirements for integration into the ICIO tables (c) Construction of ICIO tables (d) The use of ICIO tables for the compilation of TiVA indicators The e-training is open for anyone interested, and the registration can be done online: https://events.uneca.org/registration/register?eventId=6a202bb3-99e7-ea11-80de-0050569360fe
Source: Eurostat (Data extracted on: 17 Nov 2020 )
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Organizer(s): Eurostat GOPA
Description: The course will cover in depth the conceptual framework used to compile the national accounts in the European context. The focus will be on concepts, definitions and classifications of the Systems of National Accounts (ESA2010, SNA 2008). This will include the sector accounts and Supply and Use Tables – their compilation and their role in balancing the accounts. It will provide a practical approach to the implementation of the international standards by providing exercise at regular intervals throughout the course to ensure learning through doing. The learning will be reinforced by group discussion and presentations. The course will also introduce the quarterly national accounts, satellite accounts and regional accounts. The course will describe current activities in a European context to go “beyond GDP” and examine how other measurement systems can use the national accounts framework to bring an accounting structure to areas outside the domain of national accounts.
Target Audience: Statisticians of National Accounts compilation units, with more than one year’s experience in the field of national accounts or related economic statistics, wishing to understand in some depth the concepts, sources and methods used to compile the national accounts. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 06 Aug 2020 )
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Organizer(s): Eurostat GOPA
Description: The main objectives of the course are: * to provide the participants with basic knowledge of using administrative registers to produce statistics; * to provide skills to build and update statistical registers by using various administrative sources; * to provide best practice in combining statistical surveys and register data; * to provide best practices on moving from survey based system to register based system (experience of the Member States that have completed this process – Nordic countries); * to provide best practices on reducing statistical burden by using statistical registers.
Target Audience: Methodologists and statisticians who are involved in the production of statistics potentially covered by administrative registers, in particular in the domain of social statistics. The course is targeted to any NSIs staff wishing to understand the possible ways of producing official statistics based upon statistical registers. Horizontal knowledge of different statistical areas and production steps in official statistics is welcome. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This is a comprehensive training course that covers application of statistics in Education Management. The course aims at equipping participants with skills and knowledge in data collection, data entry, management, analysis, interpretation and reporting.
Target Audience: Education Managers, Administrators and Implementers at all levels of Education Management, Teachers at all levels, Education Officers, Education Managers and Administrators at District, Regional and National Levels, Education Researchers and Education Practitioners such as NGOs and Private Entities.
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Monetary Environmental Accounts
14 Sep 2020 – 15 Sep 2020
Source: Eurostat (Data extracted on: 06 Aug 2020 )
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Organizer(s): Eurostat Sogeti
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). Both a brief, overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered. Introductions to each of the 3 main accounts, Environmental Taxes, EGSS, EPEA, plus some relevant extensions such as environmental subsidies will be in focus. The course will make emphasis in putting together the practical difficulties that participants have in their offices to produce the monetary environmental accounts and discussing solutions and best practices.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above * Managers with responsibility on several or all the areas listed above. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: World Bank (Data extracted on: 14 Jan 2021 )
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Organizer(s): World Bank
Description: Join the MENA Chief Economist for a High-level Regional Virtual Workshop on September 14, where panelists will discuss Covid-19, information systems, and statistics in the MENA region. The workshop will start at 8 AM EST and end at 1.15 PM. A packed agenda across 4 different sessions will feature notable keynote speakers from Johns Hopkins University, the International Association for Official Statistics, the Ford Foundation, the World Bank Group, and notable ministers from Egypt, Jordan, Djibouti, Yemen, Bahrain, and directors from Palestine, Oman, UAE, Tunisia, Morocco, and Algeria.
Description: The webinar is primarily designed for compilers of national accounts statistics for AFRITAC East member countries. The webinar will include a 40-minute presentation from Mr. Anthony Silungwe, IMF economist and expert on national accounts. It will be followed by a question and answer session to address issues raised by participants.
Description: This virtual training will provide capacity development on the methodology, data collection and analysis relevant to sustainable food and agriculture.
Source: IMF Metac (Data extracted on: 02 Feb 2021 )
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Description: The needs of policy makers for reliable and timely statistics on prices have increased, as they attempt to make timely decisions to lessen the impact of the COVID-19 pandemic on the welfare of citizens. The Residential Property Price Index (RPPI), which measures the change over time in the selling price of residential properties, provides the information to policy makers and markets more generally to assess the economic situation of real estate markets. This regional webinar on the RPPI illustrates the sources and methods to compile the RPPI, in accordance with the Practical Guide developed by the IMF and other partners. The Guide contains easy-to-use scripts that can be adapted to country data.
Title in Spanish: XXI Encuentro Internacional de Estadísticas de Género (EIEG) “Los retos para la generación y uso de las estadísticas de género en contexto del COVID-19”
Organizer(s): ECLAC UN Women INEGI Mexico
Description: El Instituto Nacional de Estadística y Geografía (INEGI), el Instituto Nacional de las Mujeres (INMUJERES), la División de Asuntos de Género de la Comisión Económica para América Latina y el Caribe (CEPAL), y la Entidad de las Naciones Unidas para la Igualdad de Género y el Empoderamiento de las Mujeres (ONU Mujeres), llevarán a cabo en el mes de septiembre, el XXI Encuentro Internacional sobre Estadísticas de Género (EIEG) denominado “Los retos para la generación y uso de las estadísticas de género en contexto del COVID-19”. El XXI EIEG se realizará mediante una serie de cuatro seminarios web.
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: As part of the Africa NCA Community of Practice, the Capitals Coalition offers to host an introductory webinar on the subject of “Combining Forces on Natural Capital: Working with the Private Sector”. This webinar is inspired by feedback from the community in July 2020, where approximately 40% of the membership expressed an interest in “engaging with the private sector” in relation to natural capital accounting.
Description: Governments and private actors are leveraging the power of big data and Artificial Intelligence (AI) to monitor and contain the spread of the coronavirus (COVID-19). Secure, timely and reliable data collection and sharing on a global scale are critical to understanding how the virus spreads, maximizing the effectiveness of government policies, and promoting international cooperation in the race to create and distribute therapies and vaccines. A demand for closer, forward-looking international collaboration has emerged from the current crisis. Yet, national…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users—in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Source: Eurostat (Data extracted on: 06 Aug 2020 )
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Organizer(s): Eurostat Sogeti
Description: The course will provide participants with theoretical and practical training on the compilation of Energy Accounts. Focus is given to the use of Eurostat's IT tool ("PEFA-Builder") supposed to facilitate the compilation of Physical Energy Flow Accounts based on Annual Questionnaires for energy statistics.
Target Audience: Environmental statisticians or staff working on environmental accounts departments and involved in data compilation of Physical Energy Flow Accounts (PEFA). Introductory and advanced level. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Being fundamentally reliant on the mobility of people, it is no surprise that tourism is one of the hardest hit sectors in the Covid-19 crisis. However, do we really know the effects that this situation is having on tourism in all its dimensions? Do we understand the effects that the reduction of tourism activity is having on economies, societies and the environment? Certainly there is data, data everywhere, but not all of it is equally well placed to answer these questions—especially not when we wish to benchmark or gain trust. Covid-19 has also shown just how important sustainability is. In a world where our economies, our societies, and our environment were more narrowly intertwined than ever, the spread and the effects of the virus rapidly became pervasive. Tourism is by definition embedded in our economies and in our societies, it relies on our environment which it can help protect or degrade. High level experts will discuss the impacts of the global pandemic not only on tourism activity per se, but also on the nature of the statistical activities that are necessary to properly measure the main aspects of tourism at the national and international levels, in the short, medium and long-term.
Description: This special webinar was organized in the context of the 7 th session of the Committee of Statistics to commemorate the golden jubilee of the Institute, six alumni of the Institute shared: their journey from entry in the national statistical systems to becoming Chief Statistician in their country how UNSIAP has helped them in serving their organization and the country better and how this has helped in achieving their career goal and how UNSIAP can help national statistical systems to meet the challenge of deluge of data demand and the restriction being experienced in the statistical activities due to COVID 19 Opening Remarks Ms Armida Salsiah Alisjahbana, United Nations Under Secretary General and Executive Secretary of ESCAP Moderator Mr Ashish Kumar, Director Statistical Institute for Asia and the Pacific (SIAP) Panellists Mr Masato Chino, Director General for International Statistical Affairs, Ministry of Internal Affairs and Communication, Japan Mr Ipia Darrel Gadabu, Director, Nauru Bureau of Statistics Chairman Pacific Statistics Steering Committee, Secretariat of Pacific Community (Link to his prerecorded audio in MP3) Dr Mohd Uzir Mahidin, Chief Statisticia, Department of Statistics, Malaysia Ms I.R. Bandara, Director General, Department of Census and Statistics, Sri Lanka Mrs Phonesaly Sousksavath, Head of Lao Statistics, Vice Minister Lao Statistics Bureau, Ministry of Planning and Investment, Lao PDR Ms Gemma Van Halderen, Director, Statistics Division, Economic and Social Commission for Asia and the Pacific (ESCAP) --------------------- >> See others Asia-Pacific Stats Café series
Description: Using a step-by-step approach, this course aims to equip national and international stakeholders with the necessary competencies to measure skills mismatches and imbalances from both the demand and supply sides. The course will highlight the latest guidelines developed by the ILO with regard to measuring skills mismatches, while also emphasizing the SDG and the decent work indicators framework.
Target Audience: This course caters for government officials from ministries of labour, economy, and planning; officials of national statistical offices; officials of national, regional and international organizations; members of academic and research institutions; and representatives of workers' and employers' organizations.
Description: The COVID-19 crisis represents a unique moment in history, when there has never been greater unity of purpose across stakeholders, greater need for new ways of working, and greater opportunity to advance collective action on the Sustainable Development Goals and our development agenda. UN Global Pulse invites officers from National Statistical Offices (NSOs) in Africa to join a 10 session webinar series focused on the use of mobile data to inform the current COVID-19 pandemic with regard to immediate response, its socio-economic effects, and…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: About the session Big data and other non-traditional data sources are an exciting prospect for national statistical offices faced with increasing demand for more statistics of greater timeliness and relevance as has been experienced in the context of the 2030 Agenda for Sustainable Development and the COVID-19 pandemic. This increasing demand often coincides with declining budgets. Big data and other non-traditional data sources can sometimes offer comparatively inexpensive solutions. Globally and regionally, activities associated with these data sources continue to grow. The opportunities for member State engagement and involvement are vast. This seminar is held as preparation for the 7th Committee on Statistics. The presentations will highlight some of the key global and regional developments to support NSOs to use big data and participants will have a chance to discuss the prospects of big data for official statistics in Asia and the Pacific. Agenda Welcome: Gemma Van Halderen, Director, Statistics Division, ESCAP Big Data and official statistics – the role of the Global Working Group: Niels Ploug Introduction to UN global platform regional hub in China": Wang Wenna Current progress of Big Data utilization for official statistics in Indonesia: Ali Said Questions and answers : Tanja Sejersen Speakers Niels Ploug is the Director of Social Statistics, Statistics Denmark and responsible for SDG data. He is also a cochair UN Global Working Group on Big Data for Official Statistics Wang Wenna is the Head of the Centre on the Application of Big Data in Hangzhou, and Deputy Director-General of NBS Survey Office in Zhejiang, National Bureau of Statistics of China Ali Said is the Director of Analysis and Development of Statistics at Statistics Indonesia. He is also appointed to lead the development of Big Data uses for official statistics at Statistics Indonesia Tanja Sejersen, Statistician, Statistics Division ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Description: تعرف التجارة الالكترونية على أنها جميع المعاملات التجارية العابرة للحدود والتي يتم تنفيذها على شكل الكتروني وتشمل (بيع وشراء السلع والخدمات عبر الشبكات الحاسوبية)، أو التجارة التي يتم تسهيلها وتيسيرها رقمياً عبر المنصات مثل أمازون، أوبر، أو علي بابا وغيرهما من المنصات، وقد زاد الاهتمام بهذا النوع من التجارة خلال السنوات الأخيرة، حيث أصبحت تشكل نسبة عالية من التجارة العالمية. تتم التجارة الإلكترونيـة بــين الشـركات التجاريـة، والمنــازل، والأفــراد، والحكومــات والمنظمــات العامــة أو الخاصــة عـن طريـق الإنـترنت، وهي تمكن الأفراد من شراء وبيع المنتجات على نطاق عالمي وعلى مدار اليوم دون تكبد نفس النفقات العامة التي تتم من خلال التجارة العادية وتقوم التجارة الالكترونية على علاقة بين جهتين، ويختلف شكل كل علاقة وفقا لنوع التجارة بينهما.
Description: This is a comprehensive training course that covers application of Statistical Package in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: About the session Economic, Environment and Satellite Accounts align well with the Asia and the Pacific’s strategies for advancing official statistics for the 2030 Agenda the collective vision and framework for action by the Asia Pacific statistical community, which focuses on strengthening statistical capacity to produce, disseminate and use official statistics through five action areas, and the Declaration on Navigating Policy with Data to Leave No One Behind, as their use and production requires a strong national statistical system and government support and engagement As a priority area identified in the forthcoming 7 th session of the Committee on Statistics, the panel discussions will focus on global and regional initiatives and the current efforts in progressing economic, environmental and satellite accounts in the region The aim is to share experiences and determine priority actions for member States, UN entities and development partners on how regional collaboration on accounts may support and strengthen national efforts to advance accounting in Asia and the Pacific. Panelists Mr. Mohd Uzir Mahidin, PhD, Chief Statistician, Department of Statistics Malaysia Mr. Ben Milligan,PhD, Secretariat Director, Global Ocean Accounts Partnership Mr. Leota Aliielua Salani, Assistant CEO, National Accounts & Finance, Statistics Division, Samoa Bureau of Statistics Ms. Vivian R. Ilarina, Assistant National Statistician, Macroeconomic Accounts Service, Philippine Statistics Authority Moderators Ms Gemma Van Halderen, Director, Statistics Division ESCAP Ms. Rikke Munk Hansen, Chief, Economic and Environment Statistics Section, Statistics Division, ESCAP --------------------- >> See others Asia-Pacific Stats Café series
Description: About the session Monitoring of SDGs under Agenda 2030 is the focus for national statistical systems which has huge data demands. Big data and other non traditional data sources are an exciting prospect for national statistical offices to meet this increasing demand for more statistics of greater timeliness and relevance specially during COVID 19 pandemic. Human resource management and appropriate skill development is essential to meet this challenge. This webinar is being held as preparation for the 7 th ESCAP Committee of Statistics. The panel discussions will give a perspective how the efforts are being made to improve human resource management, talent development and skills development. The aim is to share knowledge and identify priority actions for member States, UN entities and development partners to transform human resource management and skill development efforts to build statistical institutions in Asia and the Pacific. Panelists Mr Yalalt Ganbat, Senior Statistician, National Account and Statistical Research Department, National Statistics Office of Mongolia Mr Pravin Srivastava, Secretary and Chief Statistician of India, Ministry of Statistics & Programme Implementation Ms Teresa Dickinson, Deputy Australian Statistician, Census and Data Services Group, Australian Bureau of Statistics Mr Ilya Matyushev, Deputy Director of Department, International Statistics and Projects, Russian Federal State Statistics Service (ROSSTAT) (on behalf of Mr Sergey Egorenko, Deputy Head, Russian Federal State Statistics Service (ROSSTAT)) Moderators Mr Ashish Kumar, Director, Statistical Institute for Asia and the Pacific (SIAP) Ms Gemma Van Halderen, Director, Statistics Division, Economic and Social Commission for Asia and the Pacific (ESCAP) --------------------- >> See others Asia-Pacific Stats Café series
Description: This webinar attempts to convene national representatives from diverse sectors that contribute in the geospatial response to disasters – national geospatial agencies, national statistics offices, risk and disaster management organizations, and many other representatives from the public, academic and private sectors related to the topic.
Description: This course, presented by the IMF Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014, the update of the 2001 edition), and on practical aspects of data compilation. The basic concepts, definitions, accounting rules, classifications and presentation tables of the GFS framework are discussed. The compilation and dissemination of comprehensive and cross country comparable GFS are explained. Finally, the course shows how to use GFS to evaluate the impact of government activities on a country's economy.
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: Oceans cover 70% of the Earth's surface, are the planet's largest biosphere, and are home to 50–80% of all life on Earth. Oceans make major contributions, many irreplaceable, to human well-being and development. For example, more than 90% of global trade in goods and 95% of internet traffic travel by sea. In Africa, 38 countries have a coastline and many economies depend heavily on marine resources. The true value of ocean ecosystems, however, are often not adequately measured. To address this issue, oceans accounts – a structured compilation of maps, statistics, and indicators, aligned with the System of Environmental-Economic Accounts – are being developed by a growing number of countries. Ocean accounts provide a framework for ocean data integration by organising relevant data (from the environmental, social and economic domains) into structures that are similar to national accounts maintained by National Statistical Offices or Finance Ministries. They provide the means to account for growth, sustainability and inclusivity of ocean economies in line with the Sustainable Development Goals. At the global level, momentum on developing a shared technical framework for ocean accounting is supported by the Global Ocean Accounts Partnership. The webinar will provide an introduction to oceans accounts and the potential opportunities in the increasing advancement of African ocean economies. It will also serve to introduce the Oceans Accounting Working Group, which will run under the Africa Natural Capital Accounting Community of Practice from August to December 2020. This webinar is part of a series under the Africa Natural Capital Accounting Community of Practice.
Description: This Stats Café featured: Analysis of land cover change for sustainable development Land cover change automation Q&A and panel discussion Moderator Rikke Munk Hansen is the Chief of Economic and Environment Statistics at ESCAP and has worked with statistics and sustainable development in Asia and the Pacific for more than 20 years. Presenters Chitrini Mozumder is Affiliated Faculty and Research Scientist at Asian Institute of Technology with research interests including remote sensing and GIS applications in environmental monitoring and management, land use change analysis and modelling, spatial analysis and decision support. Aahlaad Musunuru is working as a Geographic Information Systems (GIS) specialist in ESCAP-Statistics with skills and research interest in remote sensing and GIS applications for monitoring land cover change, ocean accounts and disaster risk assessment. --------------------- >> See others Asia-Pacific Stats Café series
Description: Knowing how many people are dying and where they are is essential to tracking the virus’ spread and determining its impact. While this sounds simple, COVID-19 has exposed deep and pervasive gaps in death registration systems in Asia and the Pacific, especially in low-income countries. This seventh session of the Stats Café will look at how deaths, including causes of death, are being monitored and reported during the COVID-19 pandemic, and whether it involved changes to the health information system. The session will also discuss how the information about deaths and causes of death is being shared with the civil registration authorities and used for the production of vital statistics. Agenda Welcome: Gemma Van Halderen, ESCAP Statistics Division Monitoring excess mortality due to COVID-19 and making it make sense for policy makers: Mark Landry, WHO Mortality reporting: ABS process changes in the COVID-19 pandemic: Lauren Moran, Australia Sri Lanka’s experience with monitoring and reporting COVID-19 deaths: Nandalal Wijesekera, Sri Lanka COVID-19 and CRVS: Doris Ma Fat, WHO General questions: David Rausis, ESCAP Statistics Division --------------------- >> See others Asia-Pacific Stats Café series
Title in Spanish: Cimientos de la Capacidad Estadística: Marcos Legales Modernos
Organizer(s): IDB
Description: An institution´s legal framework is the foundation on which it is built, hence the organizations strength is directly related to the legal framework that supports it. National statistical offices require modern legislation that allows them to produce, integrate, coordinate and disseminate the statistical information that society and government need to support their decisions. They need legal frameworks that provide space for innovation, that support their technical independence and that protect the integrity of information.
Target Audience: National statistical offices, government officials that deal with official statistics production and/or dissemination, policy makers, employees from International Organizations that deal with statistical capacity building, researchers
Description: This is a comprehensive training course that covers application of statistics in Monitoring and Evaluation fields. The course aims at equipping participants with skills and knowledge in data entry, management, analysis, interpretation and reporting.
Target Audience: Statisticians, Officials working in Policy Making, Project Planning, Monitoring and Evaluation in various capacities in the Government and Private sector.
Title in Arabic: تعزيز القدرة الجغرافية المكانية في تعدادات السكان والمساكن للبلدان العربية
Organizer(s): AITRS UNFPA ESCWA
Description: يعتبر التعداد العام للسكان والمساكن أحد أكثر الأنشطة تعقيداً وضخامةً التي تقوم بها الدول في أوقات السلم. ويتطلب التعداد إعداداً كافياً من حيث الموارد البشرية، والتقنيات، والموازنة والأمور اللوجستية. ومهما يكن، فإن تقنيات التعداد تتغير بسرعة خاصة في المجال الجغرافي- الفضائي وتقنيات المعلومات والاتصال. فبعض التقنيات التي كانت متاحة واستعملت في دورة التعداد لعام 2010 أصبحت الآن قديمة، خاصة في مجال تقنيات المعلومات. وشهدت البيانات الجغرافية- المكانية بصورة خاصة عدة ابتكارات تكنولوجية، يمكن تطبيقها في دورة تعداد 2020 من أجل إنتاج بيانات من التعداد لها مرجعية جغرافية أكثر دقة وفي الوقت المناسب.
Source: IMF Metac (Data extracted on: 16 Nov 2020 )
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Description: Policy makers require timely information on changes in economic activity. The ongoing COVID-19 pandemic has made the need for a monthly indicator of economic growth (MIEG) even more evident. Annual and quarterly gross domestic product (GDP) programs will often capture these changes with a significant time lag. As a complement to traditional national accounts products, many statistical offices and central banks compile and publish a MIEG (also known as Monthly GDP in some countries) using a collection of high-frequency indicators (HFIs). A webinar was organized by METAC on July 20 to introduce the topic of the MIEG, illustrate the HFIs needed to compile such an index, and explain the broad steps to compile a timely MIEG.
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Data privacy risks and data protection: What happens when sensitive peacekeeping data leaks? How can we prevent it?
Description: Data collection and information gathering plays a fundamental role in supporting peacekeeping operations. However, lack of proper data protection and risk management practices, especially in sensitive geopolitical contexts, can cause harm to not only identifiable individuals, but also identifiable groups of people. This installment of the (un)data Seminar Series on Outrageous Questions will look at a hypothetical case study based on several real episodes, and will explore the practical solutions for ensuring data privacy, data protection and ethics in peacekeeping…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The Webinar provides guidance to national statistical organizations aimed to help them to ensure the continued publication of their national accounts in the face of challenges resulting from measures implemented to contain COVID-19.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: تتأكد الحاجة الى القيادة الفاعلة والكفؤة للوحدة الاحصائية واعتماد الاسلوب القيادي المناسب لاستثمار الموارد المتاحة والبيانات المتوافرة لإنجاز الاهداف المحددة لتلك الوحدة الاحصائية وكذا الجهاز الاحصائي للدولة، ومن وراء ذلك كافة اصحاب المصلحة في كيفية استخدام النتائج الاحصائية التي تمثل مخرجات الوحدة الاحصائية التي تؤسس لقرارات مصيرية على مستوى قطاعات العمل الحكومي والخاص على حد سواء. كما تتزايد استخدامات المفاهيم الادارية والقيادية على وفق التطورات البيئية والوظيفية التي صارت واحدة من اساسيات حوكمة النشاط الاحصائي وتعزيز دوره التنظيمي بالرجوع اليه واعتماده مصدر موثوق لإغناء ادارات منظمات الاعمال بالبيانات والمعلومات المطلوبة واجراء التحليلات الاحصائية المناسبة علميا وعمليا في ايجاد الحلول الناجعة لمشكلات الاداء المختلفة.
Description: National Statistical Offices across Asia and the Pacific are responding to the COVID-19 pandemic with a variety of new statistical solutions. In this Asia-Pacific Stats Café, we discussed the experience of countries and development partners standing-up COVID-19 data portals and the responses from users to their innovative data solutions. This Stats Café session featured: Statistics New Zealand COVID-19 Data Portal WHO COVID-19 Data Portal ESCAP COVID-19 policy response Data Portal Q&A and discussions Moderator Gemma Van Halderen, is the Director of Statistics Division in ESCAP. Her work is to improve the use of statistics for evidence-based decision making and to develop and disseminate quality statistics for inclusive, sustainable and resilient societies in the ESCAP region. Panelists Richard Evans works for Statistics New Zealand as the General Manager for Economic and Environment Insights. Prior to joining Stats NZ, he worked for Statistics Canada as an expert in high-frequency economic indicators. He is passionate about using data science and AI to create user-centric data products from big data sources. Doris Ma Fat works at the World Health Organization as a statistician in the Department of Data and Analytics. She is currently supporting the development of several portals on cause-of-death statistics. Ravi Shankar works at the World Health Organization for the global polio eradication initiative as a GIS & Mapping expert. He also supports the ongoing health emergencies of Covid19. Dayyan Shayani is a statistician in the ESCAP Statistics Division, supporting the Asia-Pacific SDG Gateway and other data portals. He strives to bring data to the forefront of the sustainable development discourse, enhancing their management, dissemination and visualization. --------------------- See others Asia-Pacific Stats Café series
Description: The objective of these workshops is to promote the use of gender statistics for policymaking to ensure that no women and girls are left behind, in keeping with the commitments set out in the Regional Gender Agenda and the 2030 Agenda for Sustainable Development and its Sustainable Development Goals (SDGs). The focus of these workshops will be on mapping existing data and identifying gaps in the production of gender statistics, and providing recommendations regarding the production, development, systematisation and dissemination of statistical information and gender-sensitive indicators.
Description: UNWTO, IFC and Digital Tourism Think Tank are providing a 2hr primer masterclass. The executive-level class will provide case studies, quick wins and good practices of using big data in tourism recovery strategies. In this Introductory class, executives will learn: * What big data insights can show us about COVID-19 and the tourism market in Africa; * The spectrum of data opportunities in Africa, who the main providers are and what they offer; * The pros and cons of different uses and approaches to using traditional and big data; * Lessons learned from Portugal, Ethiopia and South Africa.
Description: There is substantial interest in data that can help us better understand the situation and inform decision-making around the COVID-19 pandemic. National Statistical Systems, and particularly National Statistical Offices, have an important role to play in making timely and reliable information about the impact of COVID-19 available to the public. This webinar provides an overview of various issues the statistics community are discussing linked to user engagement, and makes a case for being more actively engaged, including in providing data on COVID-19 related topics. The webinar also provides an overview of potential tools available for engaging with different users at this time, along with a more in-depth presentation on COVID-19 datahubs. The webinar was organized by the UNSD-DFID Project, which supports the SDG monitoring and COVID-19 data response in 20 countries in Africa and Asia. Here you can find the video recording of the webinar and the combined presentations.
Source: IMF Metac (Data extracted on: 16 Nov 2020 )
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Description: At this webinar, topics presented and discussed included challenges and solutions related to missing or late source data, restrictions to movement and reduced accessibility to workplaces, volatility in primary statistics, and communications with users of national accounts. The webinar was attended by 37 participants from 11 METAC members (Afghanistan, Algeria, Egypt, Iraq, Jordan, Lebanon, Libya, Morocco, West Bank and Gaza, Sudan, and Syria).
Description: In this second session on the impact of COVID-19 on prices statistics, IMF experts will discuss in greater detail how countries can address the impact of the COVID-19 pandemic on the continuity and timeliness of the dissemination of consumer price statistics. The session will also address issues and questions raised on the continuity of producer price indexes, as well as export and import price indexes. A video recording and presentation of session 1 can be found per respective link.The webinar will include a short presentation on imputations for missing prices. Participants are encouraged to send questions in advance, and these will be addressed during an extended question and answer session.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Title in Arabic: تصور البيانات وإعداد محتوى جذاب من اجل فهم افضل
Organizer(s): AITRS Arab Development Portal
Description: ضمن إطار العمل على تحسين الوصول إلى المعرفة وبناء وتعزيز قدرات المكاتب الاحصائية الوطنية في المنطقة العربية على نشر الإحصاءات الرسمية والتقارير حول أهداف التنمية المستدامة، تنظم البوابة العربية للتنمية بالتعاون مع المعهد العربي للتدريب والبحوث الإحصائية ورشة عمل عن بعد حول " حول تصور البيانات وإعداد محتوى جذاب". تأتي هذه الورشة ضمن سلسلة من ورش عمل عن بعد حول " كوفيد-19 وتداعياته على التنمية في المنطقة العربية"، تغطي موضوعات التعليم والمياه والأمن الغذائي والصحة، بالإضافة إلى تصور البيانات. تهدف هذه الورش إلى رفع الوعي وتدريب موظفي المراكز الإحصائية الوطنية في البلدان العربية لتعزيز معرفتهم حول مواضيع التنمية كما إلى تقديم المساعدة التقنية بهدف فهم وإنتاج المؤشرات المرتبطة بأهداف التنمية المستدامة بشكل أفضل. تجمع هذه الورشة الاحصائيين من المكاتب الإحصائية الوطنية بهدف تدريبهم حول طرق إعداد محتوى إحصائي وتصويري جذاب وسهل الفهم للبيانات، وخاصة فيما يتعلق بمؤشرات أهداف التنمية المستدامة، وذلك باستخدام تقنيات البرمجيات المفتوحة المصدر. تهدف الورشة أيضاً إلى تحسين المهارات وتطوير قدرات الإحصائيين في سرد القصص
Recording COVID-19 Related Government Initiatives in the National Accounts
29 Jun 2020 – 29 Jun 2020
Source: IMF Metac (Data extracted on: 16 Nov 2020 )
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Description: This webinar covered methods on how to record COVID-19-related government policy interventions in the national accounts, to ensure comprehensiveness and accuracy in GDP estimates, both in aggregate and within the key components of GDP. It presented a range of examples taken from the IMF COVID-19 policy tracker in the fiscal and monetary areas, which can be found here. Countries raised questions regarding their own policy interventions and were able to compare their experiences to others in the region and elsewhere. It is worth noting that proper recording of policy interventions goes beyond the accuracy of GDP estimates, and touches on issues of transparency in the conduct of macroeconomic policy to ensure effectiveness and efficiency of government interventions.
Description: The UNSD in collaboration with AUC and SADC will conduct a follow-up training workshop in the area of SDMX IMTS. South Africa and Botswana will undertake codes mapping and apply it to produce SDMX IMTS.
Title in Arabic: الحوكمة ضمن الرصد والإبلاغ عن مؤشرات أهداف التنمية المستدامة
Organizer(s): AITRS
Description: تسعى أهداف التنمية المستدامة إلى الحد بشكل كبير من جميع أشكال العنف، والعمل مع الحكومات والمجتمعات المحلية لإيجاد حلول دائمة للصراع وإنعدام الأمن. ويُعد تعزيز سيادة القانون وتعزيز حقوق الإنسان أمراً أساسياً في هذه العملية، ويشمل كذلك تعزيز مشاركة البلدان النامية في مؤسسات الحكم العالمية إن الهدف 16 من اهداف التنمية المستدامة هو مجال تنموي جديد نسبيا من ناحية الإستهداف المباشر مقارنة "بالأهداف الإنمائية للالفية" مما يترتب عليه الحاجة إلى خبرة مسبقة عن توفير المعلومات وكيفية التعاطي مع كتابة التقارير المتعلقة بهذا الهدف بشكل خاص. في ظل جائحة كورونا التي تجتاح العالم بأسره، تزداد الحاجة إلى أهمية تعميم المعرفة وتبادل الخبرات والتجربة في مجال تقنيات رصد الهدف 16 وتقديم التقارير الوطنية حول واقع تقدم العمل عليه ومدى الإنجاز في تحقيق غاياته وآليات قياسه بالإعتماد على إطار المؤشرات العالمي الذي إعتمدته الأمم المتحدة وقامت بتطويره العديد من المؤسسات ذات العلاقة بهذا الهدف وفي مقدمتها مفوضية الأمم المتّحدة السامية لحقوق الإنسان "OHCHR" وبرنامج الامم المتحدة الانمائي UNDP، وعلى وجه الخصوص مركز الحكم في أوسلوOGC ومكتب الأمم المتحدة المعني بالمخدرات والجريمة UNODCوغيرها من وكالات الأمم المتحدة.
Description: This course aims to improve the design and implementation of policies intended to promote job creation by building the capacity of all relevant stakeholders to identify, measure and assess the employment effects of economic, sectoral, trade-related or labour market policies. In particular, the course will impart the competencies needed to make informed decisions about how to best measure and evaluate the results of interventions to promote decent jobs for women and men, with a particular focus on rural populations and informal workers.
Target Audience: This course will be of particular interest to: (1) government officials involved in the design and implementation of policies impacting employment, in particular the staff of ministries of labour and employment, economy, planning, education and training; (2) the staff of programme-management teams from private-sector entities, non-governmental organizations and community-based organizations; (3) the operational staff of international organizations, regional development banks and bilateral donor agencies that design or finance programmes impacting employment.
Description: This live virtual training workshop delivered remotely offers an opportunity to review selected concepts, principles, sources, methods, accounting rules, and the general framework used to compile GFS and PSDS. The following fundamental GFS and PSDS features will be covered: Accounts (revenue, expense, expenditure, assets, liabilities); consolidation; statements; tables, and balance sheets. The workshop features international standards presented in the Government Finance Statistics Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDS Guide). Before the workshop, participants will have had an opportunity to attempt to translate Indian states' fiscal statistics from a GFSM 1986 framework into a GFSM 2014 framework, and to compile PSDS in accordance with the PSDS Guide. During the workshop, participants will be invited to describe, discuss, and analyze their GFS translation and PSDS compilation efforts with their peers, officials from India's Central Office of the Comptroller and Auditor General (CAG), and with IMF GFS/PSDS Experts. Participants' questions/concerns will be invited and entertained throughout.
Description: The current pandemic is disrupting CRVS systems all over the world, but well-functioning systems are more essential than ever. The high importance currently accorded to statistics on deaths as well as other statistics during the COVID-19 response, means that the key stakeholders in CRVS systems (civil registrars, national statistical offices and health) are under increased pressure and scrutiny. At the same time, the registration of vital events is being disrupted by lock downs and social distancing measures and civil registration authorities will need to catch up with delayed and postponed work as soon as the situation stabilizes. This webinar organised by ESCAP in collaboration with the Global CRVS Group gave civil registrars and statisticians from Asia and the Pacific a chance to share their experiences of maintaining services during this difficult period. Welcome: Gemma van Halderen (Director, Statistics Division ESCAP) Implementing the UN Legal Identity Agenda in times of COVID-19: Srdjan Mrkić (Chief, Demographic Statistics Section, UNSD) Guidance on maintaining CRVS systems during COVID-19 and other recent initiatives: Tanja Sejersen (Statistician, Statistics Division ESCAP) The Show Must Go On – CRVS and COVID-19: Jeff Montgomery (Registrar-General Civil Registration, New Zealand) Vital Statistics in Georgia: experience and way forward: Shorena Tsiklauri (Head of Population Census and Demographic Statistics Department National Statistics Office of Georgia) Discussion and sharing of experiences from the region ---------------------- >> See others Asia-Pacific Stats Café series
Description: How countries can address the impact of the COVID-19 pandemic on the continuity and timeliness of the dissemination of consumer prices indexes. The webinar will include presentation by Messrs. Graf and O’Hanlon and will be followed by a question and answer session to address issues raised by participants.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Webinar series Date: 16,18,23,25,30 June, 2020; Time: 7am -8am(EDT) Webinar No. 1 (Anglophone 16 June, Francophone 18 June) International standards, methodological framework for civil registration and vital statistics and the UN Legal Identity Agenda Webinar No. 2 (Anglophone 23 June, Francophone 25 June) Introducing UN LIA survey on the COVID-19 impact on civil registration operations, sharing country experiences on the impact of COVID 19 on CRVS system and planning for the future-Reports from Countries Webinar No. 3 (30 June) Experience sharing from other region: New Zealand and Malaysia CRVS Business Continuity Strategies During the COVID-19 Crisis
Description: This course aims to equip national and international stakeholders with the necessary skills to use STATA statistical software for analysing the labour market in evidence-based policy-making, including the SDGs and decent work indicators.
Target Audience: Statisticians and analysts from national statistical offices, ministries of labour and related institutions (such as labour observatories) and other government agencies responsible for labour-market data analysis and national SDG reporting; research and academic institutions; international organizations; development agencies; non-government organizations.
Course Language: English
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: This live virtual training delivered remotely offers an opportunity to learn and review the concepts, principles, sources, methods, accounting rules, and general framework used to compile PSDS. The fundamental features of PSDS will be covered: sectorization; definitions and accounting principles; compilation and dissemination of PSDS; and selected issues in PSDS. The workshop is conducted using international standards presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDS Guide). Workshop participants will complete exercises, will be asked to compile PSDS, and will discuss the status of PSDS development in their respective countries. To the extent possible, the workshop will feature applied components that are based on the member country experience.
Source: IMF Sarttac (Data extracted on: 01 Dec 2021 )
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Organizer(s): IMF Sarttac
Description: This live virtual training delivered remotely offers an opportunity to learn and review the concepts, principles, sources, methods, accounting rules, and general framework used to compile PSDS. The fundamental features of PSDS will be covered: sectorization; definitions and accounting principles; compilation and dissemination of PSDS; and selected issues in PSDS. The workshop is conducted using international standards presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDS Guide). Workshop participants will complete exercises, will be asked to compile PSDS, and will discuss the status of PSDS development in their respective countries. To the extent possible, the workshop will feature applied components that are based on the member country experience.
Description: With the theme, “Asia-Pacific Statistics Week was held from 15 to 18 June 2020 as a virtual event. A decade of action for the 2030 Agenda: Statistics that leave no one and nowhere behind”, the week focused on progress made towards our Collective Vision and Framework for Action. The goal was to empower national statistical systems to meet urgent and evolving statistical needs through five action areas: A: Engaging users and investing in statistics B: Assuring quality and instilling trust in statistics C: Integrated statistics for integrated analysis D: Modernizing statistical business processes E: Having requisite skills set This event has drawn massive interest with abstracts from more than 400 authors across the region. The week discussed 85 papers representing 18 countries and eight international organizations. Practitioners showcased and discussed developments in official statistics in 15 parallel sessions throughout the week Monday started with a high-level plenary session on the future of statistics Reflections on Thursday was led by John Pullinger, the President of the International Association for Official Statistics (IAOS) Asia Pacific Statistics Week papers are eligible to be selected for further development and publication in professional journals with the support of the IAOS and ESCAP. Guidelines and templates About Asia-Pacific Statistics Week Programme MS Teams Meeting - Technical Guidances Template for abstract (.docx) Guidelines for paper development (PDF) Template for presentation (pptx) , Asia-Pacific Statistics week 2020 Previous Asia-Pacific Economic Statistics Week (APES) 2019 2018 2017 2016
Title in Arabic: إحصاءات التعليم ضمن إطار أهداف التنمية المستدامة 2030
Organizer(s): AITRS UNESCO Arab Development Portal
Description: تهدف هذه الورشة إلى تعريف المشاركين بمؤشرات التعليم المدرجة ضمن أهداف التنمية المستدامة خاصة ما كان منها تحت الهدف 4: "ضمان التعليم الجيد المنصف والشامل للجميع وتعزيز فرص التعلم مدى الحياة للجميع"، وتعزيز معرفتهم بمفاهيمها وتعريفها وغاياتها. كما ستركز الورشة أيضاً على التحديات الرئيسية التي تواجه المكاتب الإحصائية في ضوء جائحة كوفيد-19 مع تقديم توصيات حول سبل التصدي لهذه التحديات. ستتضمن هذه الورشة أيضاً عروضاُ من قبل ممثلي المكاتب الإحصائية الوطنية لمشاركة تجاربهم في العمل على رصد مؤشرات التعليم التابعة لأهداف التنمية المستدامة، ومناقشة التحديات التي يواجهونها للإبلاغ عن هذه المؤشرات، بالإضافة إلى التحديات التي يواجهونها في توفير البيانات في ظل الأزمة الحالية.
Business Continuity of Producer Price Indexes (PPIs) and Export and Import Price Indexes (XMPIx)
15 Jun 2020 – 15 Jun 2020
Source: IMF Metac (Data extracted on: 16 Nov 2020 )
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Description: Attended by 26 participants from eight METAC members (Afghanistan, Egypt, Lebanon, Libya, Morocco, West Bank and Gaza, Tunisia, and Yemen), this webinar included presentations on guidelines for dealing with issues affecting the routine compilation and dissemination of PPIs and XMPIs, and good practices for transparency. Topics discussed during the webinar included data collection challenges. Countries identified and discussed their current compilation challenges, including data collection, the treatment of missing data due to temporary closures and restrictions on movement, how to use alternative data sources such as counterpart country price indexes, and how to adjust for fluctuating exchange rates.
Description: The webinar will present the BioTrade/DSIB “Trade and Biodiversity mechanism” being developed. It will focus on presenting the data and the information that can be extracted from it, as well as an introduction to UNCTAD’s statistics platform – UNCTADstat – on which the biodiversity trade data mechanism will be hosted. It is expected that this information will be used by BioTrade partners and other actors for the development of their activities, as well as to provide data on trade and biodiversity that could be an input for reporting in other national and international processes, including those led by the Convention on Biological Diversity (CBD), UNCTAD and the UN system (e.g. national reports on the progress of Sustainable Development Goals (SDGs) and CBD national biodiversity strategies and action plans).
Description: The COVID-19 crisis continues to devastate lives and economies, setting back progress made toward the Sustainable Development Goals in many countries. Data is once again more important than ever in allowing governments and other stakeholders to assess the extent of the pandemic's impacts. The aim of this webinar, was to refocus attention on the long-term goals of the 2030 Agenda for Sustainable Development and begin a discussion of how the pandemic could affect the achievement of the SDGs. The Statistics Division presented initial findings from the 2020 SDG Report and other recent publications covering impacts of COVID-19. Dr. Nyi Nyi Maung from the Central Statistical Organization of Myanmar shared his country's experience in monitoring the effects of the pandemic on the SDGs. Mr. Joses Tegyeza, from the Office of the Prime Minister of Uganda presented Uganda's experience in preparing the 2020 VNR and changes that needed to be made in light of COVID-19. The webinar was organized by the UNSD-DFID Project, which supports the SDG monitoring and COVID-19 data response in 20 countries in Africa and Asia. Here you can find the video recording of the webinar and the combined presentation.
Description: The webinar will present the BioTrade/DSIB “Trade and Biodiversity mechanism” being developed. It will focus on presenting the data and the information that can be extracted from it, as well as an introduction to UNCTAD’s statistics platform – UNCTADstat – on which the biodiversity trade data mechanism will be hosted. It is expected that this information will be used by BioTrade partners and other actors for the development of their activities, as well as to provide data on trade and biodiversity that could be an input for reporting in other national and international processes, including those led by the Convention on Biological Diversity (CBD), UNCTAD and the UN system (e.g. national reports on the progress of Sustainable Development Goals (SDGs) and CBD national biodiversity strategies and action plans).
Title in Arabic: نظم المعلومات الجغرافية والصور الفضائية
Organizer(s): AITRS
Description: إن توفر البيانات الإحصائية في القطاع الزراعي يعتبر عاملا أساسيا للنهوض وتنمية هذا القطاع ولا يمكن وضع سياسات تنموية زراعية فعالة بدون معرفة الوضع الحقيقي للقطاع الزراعي من معلومات مفيدة تساعد على حسن اتخاذ القرار ووضع استراتيجيات على المدى القريب والبعيد من أجل تحقيق الأمن الغذائي بعناصره الأربعة من إتاحة ووصول واستعمال واستقرار الغذاء. على سبيل المثال، المتابعة الموسمية للمحاصيل الزراعية تبين لنا الحالة الصحية لهذه المحاصيل مكانيا وكذلك تطور انتاجيتها عبر الزمن مما سيساهم في وضع سياسة لتحسين إنتاجية المحاصيل ووضع هدف للوصول إلى مستوى معين من الإنتاج وخطة عمل حسب الظروف البيئية المحيطة بدائرة الإنتاج. في الكثير من الأحيان، تبقى المعطيات والبيانات الإحصائية في المجال الزراعي من ناحية في شكل جداول تكون نتائجها على نطاق محلي إداري أو وطني وتفتقد إلى البعد المكاني الجغرافي الدقيق ومن ناحية أخرى، تبقى المتابعة الموسمية مقتصرة على زيارات ميدانية قليلة من حيث العدد بالرغم من أهميتها نظرا لكلفتها الباهظة وتفتقد إلى المتابعة الزمنية الدورية الدقيقة خلال الموسم الزراعي. هذا إلى جانب الإشكال المطروح بين الإحصاءات الرسمية وماهوا حقيقة ما تم حصاده من محاصيل تكون في الغالب بعيدة على الأرقام الصحيحة لوجود إشكاليات في تقدير المساحات المزروعة أو في تقدير إنتاجية المحاصيل. لمساعدة أهل الاختصاص في تقدير سواء المساحات المزروعة أو الإنتاجية أو تقدير الثروة الحيوانية أو الغابات أو درجات الجفاف وتأثيره على منظومة الإنتاج أو حالة تدهور الأراضي أو حسن إدارة الموارد المائية خاصة في المناطق المروية أو لوضع برنامج لتحسين الإنتاجية الزراعية في المناطق المطرية فإن حسن استعمال تقانات نظم المعلومات الجغرافية والاستشعار عن بعد من صور فضائية وجوية وأجهزة استشعارية حقلية يساهم في فهم أكثر لمنظومة الإنتاج وحسن اتخاذ القرار ووضع السياسات الموضوعية لتحسين واستقرار هذه المنظومة.
Description: This live virtual training workshop delivered remotely offers an opportunity to review selected concepts, principles, sources, methods, accounting rules, and the general framework used to compile GFS and PSDS. The following fundamental GFS and PSDS features will be covered: Accounts (revenue, expense, expenditure, assets, liabilities); consolidation; statements; tables, and balance sheets. The workshop features international standards presented in the Government Finance Statistics Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDS Guide). Before the workshop, participants will have had an opportunity to attempt to translate Indian states' fiscal statistics from a GFSM 1986 framework into a GFSM 2014 framework, and to compile PSDS in accordance with the PSDS Guide. During the workshop, participants will be invited to describe, discuss, and analyze their GFS translation and PSDS compilation efforts with their peers, officials from India's Central Office of the Comptroller and Auditor General (CAG), and with IMF GFS/PSDS Experts. Participants' questions/concerns will be invited and entertained throughout.
Source: IMF Sarttac (Data extracted on: 01 Dec 2021 )
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Organizer(s): IMF Sarttac
Description: This workshop offers an opportunity to review selected concepts, principles, sources, methods, accounting rules, and the general framework used to compile GFS and PSDS. The following fundamental GFS and PSDS features will be covered: Accounts (revenue, expense, expenditure, assets, liabilities); consolidation; statements; tables, and balance sheets. The workshop features international standards presented in the Government Finance Statistics Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDS Guide). Before the workshop, participants will have had an opportunity to attempt to translate Indian states' fiscal statistics from a GFSM 1986 framework into a GFSM 2014 framework, and to compile PSDS in accordance with the PSDS Guide. During the workshop, participants will be invited to describe, discuss, and analyze their GFS translation and PSDS compilation efforts with their peers, officials from India's Central Office of the Comptroller and Auditor General (CAG), and with IMF GFS/PSDS Experts. Participants' questions/concerns will be invited and entertained throughout.
Source: IOM GMDAC (Data extracted on: 17 Apr 2023 )
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Organizer(s): IOM GMDAC STATAFRIC Statistics Sweden
Description: The African Union Institute of Statistics (STATAFRIC), Statistics Sweden and IOM's Global Migration Data Analysis Centre (GMDAC) are pleased to invite you to the second edition of the Online African School on Migration Statistics that will be held on 8-10 June 2021. The first Online African School on Migration Statistics was held in December of last year. This joint initiative contributes to addressing the urgent need for timely and quality migration data, which are essential for informed policy-making and for the integration of migration in development and protection strategies at the national, regional, and global levels.
Description: The ongoing pandemic has led several national statistical offices in Asia and the Pacific to conduct rapid assessment surveys on the impact of COVID-19. Some of these surveys have taken the form of knowledge, attitude and practices assessments, while others have collected more comprehensive information on the social and/or economic impact of the pandemic. This third session of the Stats Café, organized by ESCAP, ILO and UNICEF, was aimed at exchanging experience and lessons from conducting rapid assessment surveys, of both households and businesses, on the impact of COVID-19. The Stats Café session covered: Rapid assessment surveys of businesses Rapid assessment surveys of households Capturing impacts on employment and unpaid work The Trust Fund for Statistical Capacity Building rapid support to help countries respond Additional resources: ILO's COVID-19 and Labour Statistics ILO - Specific guide on content for rapid surveys Australia - Business surveys Australia - Infographic for its business survey Australia - Household impacts survey Malaysia infographic of results from their business survey United Kingdom - Latest questions for Business Impact of Coronavirus (COVID-19) Survey respondents United Kingdom - Business Impact of Coronavirus (COVID-19) Survey questions Articles Chair Gemma Van Halderen is the Director of Statistics Division in ESCAP. Her work is to improve the use of statistics for evidence-based decision making and to develop and disseminate quality statistics for inclusive, sustainable and resilient societies in the ESCAP region. Gemma has extensive experience with the global statistical system through the UN Statistical Commission and UN Committee of Experts on Global Geospatial Information Management. Panelists John Shepherd is the General Manager leading the Industry Statistics Division, Australian Bureau of Statistics, responsible for developing, compiling, analysing and disseminating statistical information across a range of sectors including Agriculture, Environment, Building and Construction, Transport, Tourism, Financial Institutions, Innovation and Technology, etc. The Division is focussed on working with its partners to provide a strong information base for policy development and evaluation. John joined the ABS in June 2019 after a lengthy career at the Australian Taxation Office, leading significant change programs and projects focused on improving the client experience. Hataichanok Chinauparwat is currently the Director of Statistical Forecasting Division of the National Statistical Office of Thailand (TNSO). Her responsibilities include overseeing the production of indexes and indicators on social and economic aspects, the compilation and integration of statistics from various agencies, including dissemination, and statistical information services. In earlier roles Hataichanok was the Inspector responsible for coordinating the work of Thailand’s Provincial Statistical Offices and the Director of the Statistical System Management Division. She has worked as a statistician for 25 years, specializing in survey design, in particular sampling techniques. Elisa Benes works as Senior Statistician in the LFS Methodology Team at the ILO Department of Statistics in Geneva. She has extensive experience in conceptual development, household survey methodology and mixed testing methods. She led the adoption of the 19th ICLS standards on statistics of work, employment and labour underutilization, and is co-leading ILOs LFS testing work to issue practical survey guidance. Prior to joining the ILO she worked in social, demographic and gender statistics in the UN Statistics Division and at UNECE, and as a survey manager in the private sector and academia. Talip Kilic is a Senior Economist at the World Bank Development Data Group; a member the Living Standards Measurement Study (LSMS) team; and a core team member for the World Development Report 2021 on Data for Better Lives. His research focuses on poverty, agriculture, and gender in low- and middle-income countries, as well as survey methodology to improve the quality, timeliness and policy-relevance of household and farm surveys. In the latter line of work, objective measurement, including through sensor deployment; research on policy implications of non-classical measurement error in survey data; and integration with geospatial, census, administrative and mobile data are of interest to him. Q&A moderator Jan Smit is the Regional Adviser on Official Statistics for the 2030 Agenda at ESCAP’s Statistics Division. He works with national statistical offices and other entities comprising national statistical systems in Asia and the Pacific to strengthen their capacity to produce data and statistics for the Sustainable Development Goals. An economist by training, Jan earlier held various other positions at ESCAP in statistics development and in programme management. --------------------- >> See others Asia-Pacific Stats Café series
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: The webinar is part of a series under the Africa Natural Capital Accounting Community of Practice organized in cooperation between UNSD and the World Bank Global Program on Sustainability, the Gaborone Declaration for Sustainability in Africa, the United Nations Economic Commission for Africa, the United Nations Environment Programme, the Green Growth Knowledge Platform, the Conservation International and the Capitals Coalition.
Title in Arabic: مؤشرات الصحة ضمن إطار أهداف التنمية المستدامة 2030
Organizer(s): AITRS Arab Development Portal
Description: تأتي هذه السلسلة في ظل أزمة صحية عالمية، أدت إلى ما كان من المفترض أن يكون عقد من العمل على أهداف التنمية المستدامة إلى العمل لمواجهة صدمة اجتماعية واقتصادية. وعلى أثر تفشي هذا الفيروس، فرضت معظم البلدان العربية سلسلة من تدابير الاحتواء، بما في ذلك إغلاق الحدود، وحظر التجول الليلي، كما أغلقت أماكن التجمع من مرافق عامة ومطاعم وأماكن العمل ومدارس وجامعات في محاولة للتصدي لانتشار الفيروس في أنحاء البلاد. ومع استمرار انتشار هذا الوباء، أدت تدابير الاحتواء التي اعتمدتها الحكومات إلى تأثيرات سلبية على النظم الإحصائية الوطنية التي تواجه تحديات غير مسبوقة. فإن الإغلاق الكامل أو الجزئي لأماكن العمل قد أجبر المكاتب الإحصائية الوطنية والمؤسسات الحكومية والوزارات التحول إلى ترتيبات العمل عن بعد، ذلك مع احتمال عدم وجود التجهيزات اللازمة في البيوت من اتصال بالأنترنت للحفاظ على الأنشطة الجارية، خاصة في البلدان التي لديها بنية تحتية ضعيفة لتكنولوجيا المعلومات والاتصالات، والذي يؤدي إلى تأخير في انتاج ونشر الإحصاءات الرسمية والمسوح والتعدادات. لذلك، فتواجه المكاتب الإحصائية الوطنية والوزارات المعنية تحديًا مزدوجًا: توفير الاستمرارية والحفاظ على الحد الأدنى من جودة البيانات مع الاستجابة أيضًا للطلبات الجديدة في ظل أزمة كورونا. تهدف هذه الورشة إلى تعريف المشاركين بمؤشرات الصحة المدرجة ضمن أهداف التنمية المستدامة خاصة ما كان منها تحت الهدف 3: "ضمان تمتّع الجميع بأنماط عيش صحية وبالرفاهية في جميع الأعمار" وأيضاً تحت الأهداف الأخرى لترسيخ النهج العالمي في وضع الصحة في قلب التنمية المستدامة والنظر لمؤشرات الصحة كقياس لتقدم الدول نحو تحقيق أهداف التنمية، وكذلك تعزيز معرفتهم بمفاهيمها وتعريفها وغاياتها ومصادر بياناتها وطرق احتسابها، وسُبل تلبية
Description: The objective of this webinar is to bring together stakeholders in 5 NCAVES project countries and other interested countries to introduce the testing process and to raise awareness of using SEEA for indicators initiatives at the global and national level. The webinar will also bring together stakeholders from the NCAVES project countries to foster technical exchange. There are two primary audiences for this webinar. The first are National Statistics offices and other agencies involved in the production and compilation of SEEA EEA accounts and calculating SDG indicators. The second are the line ministries and other organizations who have responsibilities for delivering on a countries goals for sustainable development. These stakeholders are key to the development of SEEA EEA accounts and have an essential role in their institutionalization, resourcing and articulating the needs and priorities for specific accounts and related indicators.
Title in French: Cours de formation à distance sur les Statistiques du Commerce International des Marchandises
Organizer(s): UNSD UNCTAD WTO
Description: Ce cours de formation en ligne est destiné aux personnes impliquées dans la collecte, l’élaboration, l’analyse et la diffusion des SCIM. Il vise à les rendre mieux informées et plus autonomes dans l’utilisation de tous les documents de référence et supports de cours disponibles. Les principaux objectifs sont de renforcer l’aptitude des statisticiens à appliquer les recommandations les plus récentes sur les SCIM, décidées au niveau international, à identifier les meilleures sources de données, à mettre en place des outils adaptés à la collecte des données et à améliorer les modalités d’élaboration des statistiques. De plus, le cours insiste sur la qualité, les métadonnées, la diffusion des statistiques ainsi que sur l’apport des SCIM à l’analyse économique et la formulation d’objectifs nationaux de politique économique. Cette formation guidera les participants sur la manière d’utiliser au mieux les directives disponibles au niveau international, et en particulier de faire le meilleur usage possible du document “Statistiques du commerce international de marchandises : Concepts et définitions 2010” et du manuel “Statistiques du commerce international de marchandises : Manuel des statisticiens, Révision 1”. Le cours sera dispensé via la plateforme d'apprentissage à distance TrainForTrade. Dans cette plateforme, les participants auront accès à des manuels, des présentations multimédias, des évaluations de modules, des sondages d'opinion et des forums créés pour chaque module pour des discussions avec l'instructeur et d'autres participants. Ce cours a été conçu principalement pour les compilateurs de données commerciales; cependant, les utilisateurs des données commerciales peuvent également bénéficier du cours.
Description: The restrictions imposed by many countries in the world to combat the COVID-19 have presented huge challenges to data collection operations, particularly to household-based surveys when there is a massive increase in demand for information, including socio-economic impact of COVID-19. The ILO, UNESCAP, and UNICEF are collaborating to organize this Stats Café session aiming to introduce existing guidelines to maintain data collection procedures, shed light on some practical aspects of mixing data collection modes and provide a platform for countries in the Asia-Pacific region to exchange their expertise and learn from each other. The Stats Café session covered: Surveys under lockdown: mixed mode designs and quality issues; Case of labour force surveys: current ILO guidance; MICS-PLUS under Pandemic situation; Q&A, discussions and way forward. Additional resources: UK example: http://ukdataservice.ac.uk/media/262835/discover_modeeffectsfactsheet.pdf EU report on mixed mode data collection: https://ec.europa.eu/eurostat/cros/system/files/final_report_CP_rev1.pdf ILO guidance on Remote work, telework, work at home and home-based work can be accessed through one of the following links: https://ilostat.ilo.org/topics/covid-19/ https://ilostat.ilo.org/topics/covid-19/#guidance https://ilo.org/wcmsp5/groups/public/---dgreports/---stat/documents/publ... Moderator Gemma Van Halderen is the Director of Statistics Division in ESCAP. Her work is to improve the use of statistics for evidence-based decision making and to develop and disseminate quality statistics for inclusive, sustainable and resilient societies in the ESCAP region. Gemma has extensive experience with the global statistical system through the UN Statistical Commission and UN Committee of Experts on Global Geospatial Information Management. Panelists Kieran Walsh joined ILO Department of Statistics in October 2014, working in the statistical standards and methods unit with a particular focus on testing of methods and questionnaires to enable implementation of the latest statistical standards on work, employment and labour underutilization. During his time in the ILO, in addition to the Labour Force Survey related work, Kieran has filled the role of Chairperson of the Inter-Secretariat Working Group on Household Surveys (ISWG-HS) and various other roles. Prior to joining the ILO, Kieran worked for 13 years in the Central Statistics Office (CSO) of Ireland where he served as Director of Business Statistics in 2013 and 2014. Jayachandran Vasudevan (Jay) is working at the UNICEF East Asia and the Pacific Regional Office, Bangkok as ‘Regional Statistics and Monitoring Specialist and MICS coordinator’. Jay has experience of working with large international household survey programs such as MICS and Demographic Health Surveys (DHS) especially in Asia and Africa. Arman Bidarbakht Nia is the head of Statistical Data Management Unit at UNESCAP-Statistics Division. Arman’s areas of research and professional interest include measures for human development, survey methodology, and micro-econometrics. Prior to joining UN, Arman worked as survey statistician at Statistical Centre of Iran (SCI). --------------------- >> See others Asia-Pacific Stats Café series
Description: The UNSD in collaboration with AUC and SADC will conduct a follow-up training workshop in the area of SDMX IMTS. South Africa and Botswana will undertake codes mapping and apply it to produce SDMX IMTS.
Organizer(s): UNSD ECA UNEP World Bank Gaborone Declaration for Sustainability in Africa Green Growth Knowledge Platform Conservation International Capitals Coalition
Description: The webinar is part of a series under the Africa Natural Capital Accounting Community of Practice organized in cooperation between UNSD and the World Bank Global Program on Sustainability, the Gaborone Declaration for Sustainability in Africa, the United Nations Economic Commission for Africa, the United Nations Environment Programme, the Green Growth Knowledge Platform, the Conservation International and the Capitals Coalition.
Description: As with all activities, data collection by National Statistical Offices (NSO) was disrupted by the quarantine measures undertaken in the context of the COVID-19 pandemic. The impact was particularly felt in those activities that rely on face-to-face interviews, such as household surveys and censuses. The abruptness of the quarantine measures meant that changes in data collection efforts had to be done quickly and that new approaches and data sources had to be tried. This webinar presented the experience of NSOs in the use of new data collection methods and data sources to continue with their regular flows of statistics and to satisfy new demands for information.
Target Audience: National statistical offices, government officials that deal with official statistics production and/or dissemination, policy makers, employees from International Organizations that deal with statistical capacity building, researchers
Description: About the session Timely and reliable subnational population data, disaggregated by age and sex, is more crucial than ever before in the current pandemic. Countries in Asia and the Pacific have notable differences in age and sex population breakdowns, with even greater variability at the subnational level. Policy-makers at both the national and local levels need to know this information in order to assess vulnerability to COVID19, evaluate immediate needs and to take into account the population characteristics in designing effective social and economic mitigation policy responses. While many factors can affect COVID19, timely and reliable data can be difficult to obtain. Subnational population estimates disaggregated by age and sex are usually available on a regular basis in countries with high statistical capacity, and extensive mapping capacity exists to facilitate geospatial analysis. But where civil registration and vital statistics systems are weak and surveys are irregular, postcensal subational population estimates may not always be available and mapping resources and expertise may be lacking or of poor quality. To fill this gap, WorldPop develops methods to exploit and integrate the growing range of geospatial data on human populations, their demographics and factors related to population distributions. Many different sources of data are integrated using flexible and peer-reviewed statistical methods to produce open, fully-documented and consistent subnational maps of population distributions. The data can be downloaded in TIF files for use in Geographic Information Systems (GIS) tools. This enables the NSO to integrate the population data with other data of relevance to policy makers such as location of services (e.g. hospitals), location of risk spots (e.g. aged care facilities) and logistical information (e.g. transport systems). Different GIS software exists to facilitate geospatial analysis. ArcGIS is a widely used technology available from Esri Inc. There are different programs available today, including specific resources for COVID that are made freely available. This includes resources Esri has made available through the COVID-19 GIS Hub site that communities and health organizations can use to inform their response. Additionally, Esri works with resource constrained countries and provides support, training and tools on GIS for these countries. With these tools, users can both analyze and visually present data to make information easily available to policy-makers. The webinar was the first in the “Stats Café” series and discussed how to access and use subnational population estimates in Asia and the Pacific. It begins with a presentation on why subnational population statistics are important for planning for the COVID-19 response. It is then followed by two practical presentations: one on how to access disaggregated subnational population statistics, in this case those prepared by WorldPop and one on how to use GIS products to analyze this data, presented by Esri. This is followed by a discussion on how to best meet the needs of users and producers of subnational population estimates. This webinar is based on an ESCAP Statistics Division “Stats Brief” on Broken down by age and sex: Why reliable and timely population statistics are more important than ever. Chair: Gemma Van Halderen, Director, Statistics Division, UNESCAP Panelists: Petra Nahmias, Chief, Population and Social Statistics Section, UNESCAP Alessandro Sorichetta, Associate Professor, WorldPop Project, University of Southampton Maksym Bondarenko, Head of WorldPop Spatial Data Infrastructure, WorldPop Project, University of Southampton Linda Peters, Global Business Development Manager for Official Statistics, Esri Additional resources include: R Scripts Random Forests population modelling scripts: https://github.com/wpgp/wpgpRFPMS/blob/master/docs/GettingStarted.md wpRFPMS is a modelling R script utilizing Random Forests to inform a dasymetric redistribution of census-based population count data: https://www.worldpop.org/wprfpms Relevant publications Stevens et al., 2015. Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data. PLoS ONE 10(2): e0107042. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0107042 Sorichetta, A. et al. High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Sci. Data 2:150045 doi: 10.1038/sdata.2015.45 (2015). https://www.nature.com/articles/sdata201545 --------------------- >> See others Asia-Pacific Stats Café series
Description: In this session, the speakers will provide insights about the functionalities of Caliper, an experimental platform aimed at improving the availability and interoperability of statistical metadata, especially statistical classifications.
Source: IMF Metac (Data extracted on: 16 Nov 2020 )
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Description: Continuous compilation and dissemination of a reliable CPI is of key importance for economic policymaking. The CPI is compiled by most national statistics offices and is usually published on a monthly basis within four weeks of the end of the reference period. This first (out of three) webinar provided guidance on dealing with issues affecting the routine compilation and dissemination of CPIs as a result of measures taken to limit the spread of COVID-19—e.g. how missing prices should be accounted for. The second webinar, organized in response to positive feedback received from the first, covered similar issues, with a greater focus on developing solutions to specific country challenges. The third webinar provided further guidance on imputation methods for missing prices. Topics discussed included variety of samples and outdated index weights, treatment of increases in local transportation prices, when to replace disappearing varieties, and the need for flexibility with regard to the number of months non-seasonal items can be imputed.
Description: While the pandemic has resulted in considerable data collection challenges, surveys can also play a crucial role in understanding the social, economic and health impacts of COVID-19. As part of the UNSD-DFID project, which is working with 20 countries in Africa and Asia to support their SDG monitoring and COVID-19 data response, the UN Statistics Division hosted a webinar covering topics including the role of surveys during the pandemic, telephone surveys and sampling, and questionnaire design and data collection. It also includes a presentation by Dr. Ola Awad, Director General of the Palestinian Central Bureau of Statistics (PCBS), highlighting how they have been responding to COVID-19, including using surveys to measure the impacts of the pandemic on people's lives. Here you can find the video, a copy of the presentations, and a Q and A based on the questions raised during the webinar.
Description: The African Centre for Statistics of the United Nations Economic Commission for Africa (ECA) is organizing from, 18th to 28th May 2020, an online regional seminar on data collection for, and compilation of, consumer price indexes in the context of Covid-19. The outbreak of Covid-19 has brought big challenges to national statistical systems and their operations. On one hand, the demand for statistics and data as the policy-makers and the public want to know how the outbreak is affecting various aspects of the economy has increased. On the other hand, however, the ongoing social-distancing and lockdowns measures that are introduced to curtail the spread of the virus have also imposed restriction on possibilities for statistical data collection activities. Most of these data collection activities (censuses and surveys) are conducted through face-to-face interviewing. While the challenges for countries country might diverge due to different national circumstances and patterns, they also have common features that require joint efforts to find technical solutions suitable for the African continent. At a recent teleconference with the Directors-General of National Statistical Offices (NSOs) in Africa, countries requested from Pan-African institutions and development partners an organized setting where they can share and exchange good practice and experience. In this regard, UNECA is organizing, along with partner institutions (national statistics offices, universities and international organizations, in Europe and North America), a Regional Seminar via teleconference on Data Collection for Compilation of CPI in context of Covid-19 in the weeks of 18-28 May 2020 with two sessions daily. The Seminar will provide a forum for the exchange and sharing of practice and experience among countries, international and regional organizations, academia, and development partners. The seminar will feature presenters from INSEE (National Institute of Statistics and Economic Studies in France), the Office for National Statistics of the United Kingdom, Statistics South Africa, Statistics Norway, the University of Michigan (U of Michigan), the International Labor Organization (ILO), the International Monetary Fund (IMF) and the United Nations Economic Commission for Europe (UNECE). For more: https://ecastats.uneca.org/acsweb/FocusAreas/ESNA/CPI2020.aspx
Title in Arabic: مؤشرات المياه والأمن الغذائي في إطار أهداف التنمية المستدامة 2030
Organizer(s): AITRS Arab Development Portal
Description: في إطار العمل على تحسين الوصول إلى المعرفة وبناء وتعزيز قدرات المكاتب الاحصائية الوطنية في المنطقة العربية على نشر الإحصاءات الرسمية والتقارير حول أهداف التنمية المستدامة، تنظم البوابة العربية للتنمية بالتعاون مع المعهد العربي للتدريب والبحوث الإحصائية ورشة عن بعد حول "مؤشرات المياه والأمن الغذائي في إطار أهداف التنمية المستدامة 2030". تأتي هذه الورشة ضمن سلسلة من ورش عمل عن بعد تغطي موضوعات الصحة والمياه والأمن الغذائي والتعليم، بالإضافة إلى ورشة حول تصور البيانات وإعداد محتوى جذاب حول الإحصاءات الرسمية. تهدف هذه الورش إلى رفع الوعي وتدريب موظفي المراكز الإحصائية الوطنية في البلدان العربية لتعزيز معرفتهم حول مواضيع التنمية كما إلى تقديم المساعدة التقنية بهدف فهم وإنتاج المؤشرات المرتبطة بأهداف التنمية المستدامة بشكل أفضل.
Description: On April 22, 2020, the X Regional Webinar: "Experiences in the construction of environmental indicators for SDG 6" was conducted, the event was organized by the Statistics Division of ECLAC.
Title in Spanish: Retos de las Oficinas Nacionales de Estadística ante el COVID-19
Organizer(s): IDB
Description: The crisis generated by the COVID-19 pandemic has highlighted the importance of generating timely, relevant and reliable statistical information to monitor the progress of the disease, detect vulnerable groups, measure the impact of isolation policies on people's lives and in the economy, and project the consequences and future needs. The crisis has also shown that the national statistical offices (NSOs) and the national statistical systems (NSSs), like the rest of society and the government, were not prepared to cope with the implications of the isolation policies that have required that people stay at home, nor did they have all the technological infrastructure to guarantee the continuity of work remotely. This sudden transition has had serious repercussions on the generation of official statistics, since a large amount of data collection, such as the census or household surveys, involves in-person visits and face-to-face interviews. This webinar was a conversation with authorities of NSOs from Latin America about how they faced this challenge.
Target Audience: National statistical offices, government officials that deal with official statistics production and/or dissemination, policy makers, employees from International Organizations that deal with statistical capacity building, researchers
Description: This is a comprehensive training course that covers application of R in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in data management, analysis and interpretation.
Target Audience: People working in Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: UNSD-DFID project is realigning its project work on SDGs monitoring to extend its support for project countries in response to Covid-19. In this webinar, UNSD will be sharing it's established platform which provides general guidance materials on key issues related to the situation through the COVID 19 response website and COVID-19 Data Hub that will be useful to get your Covid-19 related data out quickly and in a user friendly way through a set of dashboards and visualization tools similar to those currently implemented by Johns Hopkins University. Here you can find the video and a copy of the presentations.
Title in Arabic: معالجة القيم المفقودة في المسوح والتعدادات
Organizer(s): AITRS
Description: لا يكاد يخلو أي مسح إحصائي أو تعداد من قيم مفقودة لعدة أسباب تتراوح بين الرفض وعدم التواجد وأخطاء في استيفاء البيانات أو في إدخالها إلى الحاسوب. وقد تحدث هذه الظاهرة بشكل عشوائي تام، لكن أحياناً يكون فقدان البيانات مرتبطا ببيانات أخرى تم استيفاؤها وأحياناً يكون فقدان البيانات مرتبطاً بقيم المتغير نفسه. إذا كانت نسبة البيانات المفقودة مرتفعة فإن عدم التعويض عنها يؤدي إلى انخفاض في دقة التقديرات الإحصائية من جهة وقد يؤدي إلى وجود تحيز في التقديرات من جهة أخرى خاصة إذا كان فقدان البيانات غير عشوائي.
Description: This webinar will introduce the Initiative to FAO regional and country offices, familiarized the audience with the Initiative’s objectives and functioning.
Description: تهدف الورشة إلى صقل مهارة المتدرب في تطبيق الأساليب الإحصائية المعتمدة في احصائيات الثقافة والترفيه من خلال شرح الجانب النظري، وتنفيذ الحالات العملية، وتدعيم القدرة على تحقيق متطلبات مؤشرات الثقافة والترفيه في العمل الاحصائي، و فيما يخص المفاهيم العامة والبنية الهيكلية للإحصاءات الثقافية، والتعرف على التوجهات المرشدة للأساليب الإحصائية الثقافة والترفيه: ﻗﻴﺎس البعد اﻻﻗﺘﺼﺎدي، بالإضافة إلى ﻗﻴﺎس البعد اﻻﺟﺘﻤﺎﻋﻲ ﻟﻟﺜﻘﺎﻓﻴﺔ. وفي هذا السياق، ينظم المعهد العربي للتدريب والبحوث الإحصائية وبالتعاون مع المنظمة العربية للتربية والثقافة والعلوم ورشة تدريبية عن بعد للأجهزة الإحصائية في البلدان العربية حول احصائيات الثقافة والترفيه لتعريف المشاركين بهذا الموضوع الهام.
Organizer(s): International Association of Privacy Professionals Future of Privacy Forum United States
Description: Privacy and civil liberties are increasingly a point of inflection as efforts to collect and use population data to contain, mitigate and fight the spread of the COVID-19 virus are launched. The workshop will address issues arising out of the quest to preserve our civil liberties and democratic values while allowing for ethical uses of data in times of crisis. For this closed interactive session, UN Global Pulse will join a number of experts on data governance and…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Civil registration (CR) is the recording of vital events in a person’s life (e.g., birth, death) and is a fundamental function of the national government. Birth registration establishes an individual’s legal identity at birth. Having a legal identity, name, nationality, proof of age, and the related are important human rights and enables individuals to exercise their rights (e.g., to vote) and enjoy various government, social, and private services. Vital statistics (VS) are statistics on these vital events and of the persons concerned. The availability of reliable and up-to-date VS depends on the level of development of CR. Having an effective CRVS system is critical for planning and monitoring programs across several sectors. Yet, over 110 low- and middle-income countries have deficient CRVS systems. This course provides practical tools and approaches to achieving 21st century state-of-the-art CRVS systems that are linked to identity management systems and tailored to local contexts. Completion of Modules 1-3 (Basic Level in the self-paced format https://olc.worldbank.org/content/civil-registration-and-vital-statistics-systems-self-paced) is a pre-requisite for the Facilitated format. The duration of the course is 6 weeks. Learners will receive an Advanced Level Certificate after successfully completing Module 5 (birth registration & adoption), Module 6 (death registration), plus three additional modules of the learner’s choice (4, 7, 8, 9, 10, 11, 12, or 13).
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: Main goals of the course are to enhance statisticians' ability to apply the most recent internationally agreed recommendations on IMTS, define best possible data sources, set up adequate (or enforce existing) collection systems, and enhance statistics compilation and production processes. The course focuses on the following topics: Conceptual Framework, Institutional Arrangement, Production and Compilation, Metadata and Quality, Dissemination and Analysis and New Areas of Work. Furthermore, the course emphasises the importance of quality, metadata, timely dissemination, and links to economic analysis and national policy objectives. The course enhances trainees' capacity to make better use of the internationally agreed guidance, especially the IMTS Concepts and Definitions 2010 and the related Compilers Manual.
Source: Eurostat (Data extracted on: 25 Nov 2019 )
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Organizer(s): Eurostat Sogeti
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). It’s an overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The Task Team on AIS data will conduct webinars of selected AIS use cases and online support on the use of AIS data at the UN Global Platform from 9 to 13 March 2020. This AIS Data Week will guide users in getting the first indicators from the AIS data provided at the UN Global Platform. AIS data is data from the automatic identification system of vessels and can be used to get, among others, timely indicators about trade, fishing, and ships in distress. The AIS Task Team consisting of members around the world will be available during data week to present case studies, to run code and to answer the questions users have on connecting with the platform, getting the data and calculating indicators for their use.
Source: Eurostat (Data extracted on: 25 Nov 2019 )
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Organizer(s): Eurostat GOPA
Description: The course will introduce the conceptual framework used to compile the national accounts in the European context. The main focus will be on concepts, definitions and classifications of the Systems of National Accounts (ESA2010, SNA 2008). It will provide a practical approach to the implementation of the international standards by providing exercise at regular intervals throughout the course to ensure learning through doing. The learning will be reinforced by group discussion and presentation. The course will also introduce quarterly national accounts, supply-use tables and associated satellite accounts as well as regional accounts. The course will describe current activities in a European context to go “beyond GDP” and examine how other measurement systems can use the national accounts framework to bring an accounting structure to areas outside the domain of national accounts.
Target Audience: Junior statisticians of National Accounts compilation units, or statisticians of other units which either supply data or use the end-products of the national accounts, with an interest in understanding the concepts, sources and methods used to compile the national accounts. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Title in Spanish: Diálogo (im)probable. Ética y Revolución digital
Organizer(s): UNKNOWN AI Generated
Description: On Wednesday, March 4, the Innovation and Technology for Development Centre itdUPM is organizing a dialogue on ethics, the digital revolution, and the SDGs. Participants will share insights on the ethical and organizational challenges posed by digital technologies, big data and artificial intelligence, and explore ways to ensure the digital transformation is aligned with human-rights. UN Global Pulse is happy to contribute to the discussions and share its experience in driving policy efforts around data privacy and data protection, and…
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 25 Nov 2019 )
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Organizer(s): Eurostat Sogeti
Description: Participants will understand different quality concepts, European Statistical System (ESS) quality criteria, the European Statistics Code of Practice and its Common Quality Framework, and know how to apply methods to measure quality concepts.
Target Audience: Employees of national statistical agencies involved in quality management, measurement and reporting. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: يتعلق علم دراسة البيانات باستخراج وتحليل وتصور وإدارة وتخزين البيانات لإنشاء رؤى واستخراج معلومات وأفكار منها. ويساعد الدول والمؤسسات على اتخاذ قرارات قوية تعتمد على الحقائق. ويتم استخدام كل من البيانات المهيكلة وغير المهيكلة. إنه مجال متعدد التخصصات له جذوره في الإحصاء والرياضيات وعلوم الكمبيوتر. وتعتبر وظيفة عالم البيانات واحدة من أكثر الوظائف التي يتم البحث عنها بسبب وفرة الطلب وارتفاع الأجور، كما أنها الوظيفة الأسرع نموًا في Linkedin، ومن المتوقع أن توفر 11.5 مليون وظيفة بحلول عام 2026. وهذا يجعل من علم البيانات قطاع عالي التوظيف حيث تعتبر وظيفة عالم البيانات واحدة من أكثر الوظائف ذات الأجور المرتفعة.
Description: Household surveys play an important role in meeting national data needs, for example, in measuring poverty, employment, skills and learning inclusive education, food security, access to health services and public services, discrimination and violence, inter alia. Household surveys are also critical for monitoring inequalities by gender, class, location disability and other markers of disadvantage, which is critical for monitoring progress against the Sustainable Development Goals (SDGs). In addition, household surveys are an invaluable source of data for behavioural and attitudinal measures which cannot be collected - for example - through administrative data systems. A mapping exercise recently conducted shows that around one-third of all SDG indicators (80 out of 232 indicators), covering 13 different goals, can be sourced from household surveys.1 Despite their crucial role in national statistical systems over the past decades, household surveys are now facing many funding challenges and scepticism about their usefulness and adaptability to this era of a changing data landscape. Household surveys are increasingly portrayed as slow and costly. With rising income and urbanization, response rates in surveys (especially in high-income countries) have been declining, with more and more individuals becoming reluctant to participate in surveys. Survey data are often underutilized, which raises further questions on the usefulness and the value of household surveys. With national statistical offices overstretched and underfunded to meet the growing demand for data, household surveys are too-often framed as obsolete when compared and contrasted with other data sources such as "Big Data" and administrative data. Some have even speculated that in a not-too-distant future, Big Data may eliminate the need for surveys altogether. Are household surveys still relevant in the changing data landscape? And if so, are there new roles for that household surveys can play in this new data landscape in addition to the value they currently hold? How do we unleash the full potential of household surveys to add value to other data sources? What are the real opportunities and limitations of alternative data sources vis a vis household surveys? How do we improve the effectiveness of household surveys and their contribution to the implementation of the 2030 Agenda for Sustainable Development? Organised by the United Nations Statistics Division, in collaboration with the Inter-Secretariat Working Group on Household Surveys, the seminar provides a platform for national statistical offices, international organisations and the research community to debate and discuss strategies to realise the full potential of household surveys in this new environment. The seminar will help identify the way forward for further methodological development in household surveys, for scaling up innovative approaches in countries and for identifying capacity building needs. The seminar will also explore and suggest practical ways to streamline and scale up those innovative approaches and do so equitably, with low income countries benefiting in equal manner.
Description: تهدف الورشة إلى صقل مهارة المتدرب في تطبيق الأساليب الإحصائية المعتمدة في الجودة من خلال شرح الجانب النظري، وتنفيذ الحالات العملية، وتدعيم القدرة على تحقيق متطلبات الجودة في العمل الاحصائي فيما يخص القياس والتحليل والتحسين المستمر للعمليات والنظام، والتعرف على التوجهات المرشدة للأساليب الإحصائية في ضبط ومراقبة عمليات ضبط الجودة. بالإضافة إلى عرض المنهجيات الخاصة بجودة العمل الإحصائي في الأجهزة الحكومية.
Description: As part of its ongoing work on building productive capacities for structural economic transformation, UNCTAD will organize a capacity building training for statistical experts of Rwanda to assist in evidence-based policymaking in these areas. UNCTAD will also brainstorm with the relevant institutions of Rwanda on the newly developed “Rwanda Programme” for transformational development of the country. In this context, UNCTAD discusses the Rwanda Comprehensive Programme of Support, which aims at fostering productive capacities, export diversification and structural transformation in Rwanda. This will build on the objectives outlined in the country's Vision 2050. Specifically, the programme addresses the binding constraints on exports, develops a business plan for Special Economic Zones (SEZs) and Industrial Parks (IPs), enhances the role of private sector development and harnesses the potential of information and communication technologies (ICTs) for trade and economic development UNCTAD is also invited to participating in the 6th Annual Economic Research Conference organized by the Economic Policy Research Network (EPRN Rwanda) of Rwanda. The event gathers national and international researchers, academics, professionals and other relevant decision makers around the topic of “Building Productive Capacities for Structural Economic Transformation” and is an opportunity to suggest innovative policy solutions towards sound economic development. It is interesting to note that Rwanda has dedicated this year's EPRN Conference to the above-mentioned theme, indicating the impact of UNCTAD’s work on domestic policy deliberations on issues of trade and economic development.
Source: World Bank (Data extracted on: 29 Sep 2021 )
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Organizer(s): World Bank
Description: The World Bank tested a survey methodology that allows robust comparisons between the lives of LGBTI people and the general population. The findings are documented in the report A Comparative Analysis of the Socioeconomic Dimensions of LGBTI Exclusion in Serbia which is based on an adaptation of the EU’s Survey on Income and Living Conditions (SILC) instrument; a standardized household survey used regularly in Serbia to collect data from the general population on income, poverty, social exclusion, and living conditions. The report is one of the first efforts globally to frame the challenges faced by LGBTI people in the context of the experiences of the general population. In total, 998 LGBTI people responded to the online survey and the data provide new insights on differences in the socio-economic outcomes of LGBTI people and a demographically similar subset of the general population. Participants learned the unique methodology used to collect and analyze the data, key findings of the research, and what can be done to improve the socioeconomic outcomes of LGBTI people in Serbia.
Description: The UNSD in collaboration with ADB, ASEAN, and EU-ASEAN ARISE project will conduct a Regional Training Workshop on Economic Statistics SDMX targeting 10 Southeast Asia countries. The workshop will bring together the subject matter and IT experts from institutions responsible in the compilation of SNA and IMTS in Southeast Asia region. Interested regional organizations in Asia will be also attending. The main objectives of the workshop are as follows: - Train subject matter experts: IT, National Accounts and Trade statisticians, on specific global SDMX Data Structure Definitions of SNA and IMTS; - Teach IT experts on various SDMX tools; - Assist statisticians/experts in implementing SDMX by conducting mapping exercises between a national database and SDMX code lists for specific domain.
Title in Arabic: تبادل البيانات الإحصائية ومعطياتها الوصفية
Organizer(s): AITRS
Description: تواجه المجتمعات الإحصائية في وقتنا الراهن العديد من الصعوبات والتعقيدات في عملها، إذ أن هناك تبايناً وتفاوتاً بين الأرقام الإحصائية الصادرة عن الأجهزة الإحصائية وتلك التي تنتجهات الجهات المالكة للسجلات الإدراية، كما أن هناك اختلافات جوهرية بين أدلة التصنيف المستخدمة بين الجهات، الأمر الذي يضع مستخدمي البيانات الإحصائية أمام مجموعة من المؤشرات والبيانات الإحصائية المتباينة، وقد يُعزى السبب في ذلك إلى ما يلي: للحصول على المعلومة الإحصائية، لا بدّ من إجراء اتصالات مقعدة تستهلك الوقت وتعتمد على الأفراد مع غياب العمل المؤسسي. الضعف في تكامل البيانات، وذلك بسبب غياب البيانات الوصفية وغموض الصيغ والمعنى، وغياب أساسيات حوكمة البيانات. عدم انتظام تحديث البيانات الأمر الذي يؤدي إلى صعوبة معالجتها، حيث يلجأ البعض للمعالجة اليدوية. بطء تقديم الخدمات الإحصائية لمستخدمين، ووجود صيغ متعددة للبيانات. دخول شركاء جدد في إنتاج البيانات الإحصائية، وخصوصاً أولئك الذين يعتمدون على السجلات التجارية
Description: Organizado conjuntamente por la CEPAL, la Secretaría Nacional de Ambiente, Agua y Cambio Climático, Ministerio de Vivienda, Ordenamiento Territorial y Medio Ambiente, Instituto Nacional de Estadísticas y el Sistema Nacional de Emergencias de Uruguay. Financiado por la Cooperación Alemana.
Description: This course, presented by the IMF Statistics Department, covers theoretical and practical aspects of compiling national accounts statistics based on the System of National Accounts 2008 (2008 SNA). The course consists of lectures on methodological and compilation issues covered in the 2008 SNA and workshops consisting of practical exercises in compiling accounts. The purpose of the course is to train participants in how to compile annual GDP both at current prices and in volume terms using the production and expenditure approaches. The course starts with an overview of the system of national accounts, presenting the sequence of accounts for transactions and other flows as well as balance sheets, based on the 2008 SNA. It covers the main concepts related to transactions, other economic flows, stocks, institutional units, classifications, and the main macroeconomic aggregates measured by the system.The main lectures and workshops cover the production account, covering definition and measurement of output, intermediate consumption, and value added; valuation issues; and the treatment of particular industries; source data and issues in the compilation of GDP using production and expenditure approaches; deflators and derivation of volume measures of GDP; and specific issues related to goods and services transactions, including supply and use framework, inventory valuation adjustment, consumption of fixed capital, and the nonobserved and informal economy. Sharing country experiences among the participants is also emphasized.
Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts data.
Source: Eurostat (Data extracted on: 25 Nov 2019 )
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Organizer(s): Eurostat GOPA
Description: The main objective of the course is to provide to participants with a basic knowledge of modern time series econometrics both for univariate and multivariate time series. So doing the participants would be able to understand most applied econometric papers published in the literature and hence to conduct in an adequate and accurate way their own research.
Target Audience: Statistical production units of NSIs. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This one-week course will be presented by experts from the International Monetary Fund's Statistics Department. The course will be based on the System of National Accounts 2008 (2008 SNA) and the Quarterly National Accounts Manual, 2017. The course will cover the following topics: national accounts concepts, methods, and framework; estimating Gross Domestic Product using the expenditure and production approach; interpretation of National Accounts Statistics; supply and use tables; data sources and indicators; price and volume measures; and revision policies. The course will feature interactive lectures and hands-on exercises that enable participants to operationalize what they learn. The main lectures and workshops include: (i) Overview of the System of National Accounts.(ii) Production accounts: measurement of output; intermediate consumption, and value added (gross domestic product (GDP)).(iii) Gross Domestic Product by Expenditure.(iv) The sequence of accounts from the production account to balance sheets.(v) Supply and use tables.(vi) Preparation of GDP volume measures: double deflation; volume extrapolation; and introduction to chain linking.(vii) An overview of GDP revisions and rebasing.
Target Audience: The workshop is intended for government officials who are integrally involved in the compilation of national accounts statistics, or, would benefit from the knowledge of the concepts, principles, sources, and methods used to compile National Accounts Statistics. As this training is broad-based, it is applicable for relatively new officials in the area of National Accounts, or users within Central Banks, Finance and Economic Planning.
Description: This is a comprehensive training course that covers application of Excel in Data Management and Analysis in socio-economic fields. The course aims at equipping participants with skills and knowledge in design data capture, data entry, management, analysis and interpretation.
Target Audience: People working in Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: This course, conducted by the IMF’s Statistics Department, focuses on the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide, as well as on the practical aspects of public sector debt data compilation. Basic concepts, accounting principles, and detailed classifications are dealt with in the context of the methodology that is harmonized with the government finance statistics and system of national accounts. The course examines coverage and accounting rules of the public sector debt statistics framework, valuation, classification, selected methodological issues, and the sources and methods used for compiling the statistics. It also deals with debt data reporting to the IMF and World Bank. The course is organized around a series of case studies.
Target Audience: Public sector officials whose main responsibility is compiling and disseminating public sector debt statistics.
Description: Workshop expected results: * Strengthened skills of UNICEF officers, government counterparts and survey coordinators for planning, organization, management and coordination of MICS; * Improved understanding of the indicators and the recommended survey methodology for collecting data on the situation of children and women through MICS; * Draft survey plans produced for Nigeria and Benin, including sampling plans and questionnaires.
Description: At the meeting of the Committee of the Chief Statisticians of the United Nations System (CCS-UN) that took place on 11 September 2019 in Copenhagen, the chief statisticians agreed to organize a “training session for agencies practitioners who want to adopt this technique [nowcasting]”. This session will take the form a technical workshop, jointly organised by UNCTAD and UNIDO, to discuss the current practices of CCS-UN members in areas related to nowcasting, identify gaps where additional methodological work is needed, and share successful communication strategies for these estimates.
Source: Eurostat (Data extracted on: 25 Nov 2019 )
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Organizer(s): Eurostat
Description: Objectives of the course: (a) to provide the participants with a basic understanding of the main concepts of seasonal and calendar adjustment, trend cycle, irregular components and related time-series issues; (b) to introduce the participants to the use of software JDEMETRA+.
Target Audience: Staff of national statistical institutes (including newcomers) involved in the production process who want to acquire a good understanding of Seasonal Adjustment (SA) methods and practices. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS Guide for Compilers and Users (EDS Guide). It also offers practical compilation guidance on data sources and techniques for compiling EDS, as well as on analysis of these data, taking into account the relevant developments in the global financial market. It comprises a series of lectures, practical exercises, and case studies that cover: recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation; implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts; debt management systems and practical guidance on the compilation of EDS for the public and private sectors; data validation and assessment of the quality of EDS applying the IMFs Data Quality Assessment Framework for EDS; data dissemination and requirements of the World Bank Quarterly External Debt Statistics (QEDS) database; debt sustainability analysis, analytical tools.
Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.
Description: The workshop will also (i) Review the progress in the transition to accrual accounting; (ii) Assess the status of implementation of recommendations of previous GFS regional workshops; and (iii) Launch the East African Community GFS/ PSDS Guidelines on fiscal and debt data compilation.
Description: This is a comprehensive training course that covers application of statistics in Monitoring and Evaluation fields. The course aims at equipping participants with skills and knowledge in data entry, management, analysis, interpretation and reporting.
Target Audience: Targeted participants for this course include but not limited to: Statisticians, Officials working in policy making, Project planning, monitoring and evaluation in various capacities in the Government and Private sector.
Description: This course offers an opportunity to learn the concepts, principles, sources, and methods used to compile the producer price index (PPI). The course covers fundamental features of the PPI including the sources and methods used for compiling index weights The course discusses presenting PPI results and producing narratives of PPI developments. There will be a specific focus on expanding the PPI to include service activities. Finally, the course will address the rebasing and linking of the PPI.
Description: Topics covered include: (i) Updating of reference periods, conceptual basics and international practice; (ii) Source data for weights, techniques for determining weights and selecting basket items; (iii) Designing the geographic coverage, sample of outlets and sampled varieties; (iv) Practical issues on data collection; (v) Introduction of new weights into the index, and communication, and dissemination of the CPI data.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users. The course introduces the conceptual statistical framework for PSDS—as presented in the Public Sector Debt Statistics: Guide for Compilers and Users —in the context of the government finance statistics (GFS) framework, which is harmonized with other macroeconomic statistical frameworks. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and consolidation) that are relevant for PSDS compilation. The course discusses the recommended the instrument and institutional coverage for compiling comprehensive, internationally comparable PSDS, and how to record contingent liabilities such as government guarantees. It also deals with the impact on PSDS of some debt-related issues such as debt assumption, debt forgiveness, on-lending, financial leases, and financial bailouts. Important PSDS compilation considerations—including what PSDS to compile and disseminate—and the IMF’s guidelines and standards on disseminating PSDS are also covered. The course also presents possible uses of PSDS, including debt sustainability analyses (DSA), and fiscal risk and vulnerability analyses.
Source: IMF Metac (Data extracted on: 19 Feb 2020 )
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Organizer(s): IMF Metac IMF CEF
Description: Organized jointly with the CEF, this workshop was attended by 34 participants from 15 countries (12 METAC). It covered international standards and best practices in producing benchmark GDP estimates through the compilation of supply, use, and input-output tables. It facilitated peer-to-peer discussions of countries’ practices, challenges and solutions, and included a substantial practical component.
Description: This is a comprehensive training course that covers application of statistics in Education Management. The course aims at equipping participants with skills and knowledge in data collection, data entry, management, analysis, interpretation and reporting.
Target Audience: This short course is so important for education managers, administrators and implementers at all levels of education management. Specifically, the course can be taken by teachers at all levels, education officers, education managers and administrators at district, regional and national levels, education researchers and education practitioners such as NGOs and private entities
