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 , Contacts Programmatic and Substantive: Ms. Vibeke Nielsen, Inter-Regional Advisor, UNSD - <a href="mailto:vibeke.nielsen@un.orgvibeke.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)
Title in Spanish: Seminario sobre desagregación de datos mediante técnicas de estimación en áreas pequeñas en México
Organizer(s): ECLAC UNFPA INEGI
Description: Este seminario reunirá a las entidades que conforman el Sistema Estadístico Nacional y otras instancias públicas de México, así como a investigadores(as) de la Academia, cuya labor está relacionada con la producción o utilización de estadísticas para grupos específicos de la población y puede verse beneficiada por la adopción de nuevos procedimientos para estimar indicadores a nivel subnacional.
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: 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.
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.
Source: ESCAP SIAP (Data extracted on: 11 Nov 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: 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, Assistant Director, 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
Description: UNICEF, ESCAP Statistics Division and Vital Strategies will jointly organize the side event at the 7th Asia Pacific Population Conference on Getting everyone in the picture: investing in children. This side event will highlight that serious action and resources are needed to achieve universal and responsive civil registration as agreed to by governments in Asia and the Pacific. To enable the new generations to manage and cope with emerging challenges and ageing populations, governments need to allocate more resources to support the growth and development of children, particularly through child-related benefits. The starting point being to ensure every one has a legal identity and is included in official statistics. The event will take place on 17 November 2023, 12:30-13:45 at Meeting Room G at the UNCC and Microsoft Teams (Please register here)
Description: The Seventh Asian and Pacific Population Conference is organized by the United Nations Economic and Social Commission for Asia and the Pacific (UN ESCAP) in collaboration with the United Nations Population Fund (UNFPA) in Asia and the Pacific.It will be held at the United Nations Conference Centre in Bangkok and online from 15 to 17 November 2023. The Conference will provide an opportunity to review the implementation of the Asian and Pacific Ministerial Declaration on Population and Development and the Programme of Action of the International Conference on Population and Development in the region. It will focus on intersecting population and development considerations as they relate to sustainable development, both now and in the future. ESCAP member States, relevant stakeholders, United Nations partners, international organizations and others are invited to submit side event proposals by 20 October 2023 at the latest. Please click here for more information and complete the form. CSOs and youth-led organizations are invited to apply to participate in the Seventh APPC and preparatory CSO and Youth Forums. More information can be found here.
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.
Source: Eurostat (Data extracted on: 01 Nov 2022 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives of this course: * 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.
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.
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.
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
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: 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: 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.
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: The second meeting of the Webinar Series on the Global Initiative on Unique Identifiers for Businesses will bring together regulatory authorities, national statistical offices and users of national and global unique identifiers for businesses. The purpose of the meeting is to have a better understanding of the need for unique business identifiers and of identifying concrete ways to strengthen the legal registration of businesses and the management of unique identifiers. The Webinar Series on the Global Initiative on Unique Identifiers for Businesses is organized by the United Nations Statistics Division in collaboration with the UN Committee of Experts on Business and Trade Statistics and the Global Legal Entity Identifier Foundation.
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: 13 Oct 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.
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.
Organizer(s): Group on Earth Observations South Africa
Description: GEO Week 2023 will take place in Cape Town, South Africa, from 6-10 November 2023. Organized by the Group on Earth Observations (GEO), and hosted by the Government of South Africa, the week will bring together practitioners to discuss the potential for earth observation to assist in addressing global challenges. CELEBRATING 2023 GEO SDG AWARD WINNERS The Group on Earth Observations and the Earth Observations for Sustainable Development Goals (EO4SDG) Initiative announced the winners of the 2023 GEO SDG Awards and FAO will receive two awards recognizing the productivity, innovation, novelty and exemplary efforts in the use of Earth observations to support sustainable development.After a careful evaluation by a panel of eight unique experts representing diverse countries and sectors, based on the overall impact, quality, and soundness of the Earth observation endeavors, and its potential for replication and upscaling, two of FAO's groundbreaking projects have been selected to win: WaPOR and EOSTAT. The Award Ceremony will take place in Cape Town, South Africa, on 8 November 2023 at GEO Week. This prestigious award recognizes FAO's projects for their exemplary contribution to advancing sustainable agriculture and water resource management, and underscores the vital role that innovative applications of Earth observation play in addressing the world's most pressing challenges. About WaPOR Launched in 2017, WaPOR is a publicly accessible near real-time database using satellite data to monitor agricultural water productivity at various scales. Since its inception, WaPOR has been providing near-real time data covering Africa and the Near East, and it has recently been expanded to encompass the entire globe. In addition to data production and dissemination, FAO, in collaboration with IHE Delft and IWMI, is actively assisting user groups in target countries in enhancing their capacity to utilize the data and create customized applications to meet the diverse needs of users, ranging from governments to service providers and farmers worldwide. Moreover, WaPOR holds significant relevance in reporting on SDG 6.4.1, focusing on water-use efficiency, with FAO acting as the custodian agency. All data, methodologies, algorithms, and scripts are made openly available, and the data is also disseminated through APIs to facilitate seamless integration into existing platforms, tools, or applications. About EOSTAT Developed by the Bureau of Statistics of Lesotho and the FAO Office of Lesotho, EOSTAT is a solution that allows for on-the-fly computation of the SDG indicator 15.4.2 of the mountain green cover index (MGCI) at the national level, and disaggregated by elevation zones, using 10m resolution Sentinel-2 land cover data. Prior to its implementation, there were no mechanisms in place to update the existing national LC baseline from 2015, which made reporting on SDG 15.4.2 unattainable. In this context, this robust EO-based solution has been a game changer, as it satisfies a multitude of reporting tasks through national land cover and land cover change statistics. This allows for significant cost savings on field survey activities, and for pertinent data gaps to be filled with ensured accuracy, timeliness, and granularity. Thanks to the big data infrastructure underpinning the solution, it was possible to integrate the Land Cover and SDG modules with specific ecosystem health indicators, simplifying the process to monitor ecosystem status in any area in the country at any time.EOSTAT is currently used by the National Meteorological Services to identify hotspots of vegetation degradation, monitor the impact of land restoration projects, and assess the impact of climate change on the status of ecosystems. The Ministry of Forestry, Range and Soil Conservation also uses the tool to monitor the health of rangelands in real-time. This partnership with the national FAO office on the EOSTAT platform increased Lesotho’s national capacity to produce SDG indicators and fostered new possibilities for monitoring national ecosystem health and ecosystem services. Related links WaPOR, remote sensing for water productivity SDG Indicator 6.4.1 "Water use efficiency" EOSTAT project SDG Indicator 15.4.2 "Mountain Green Cover Index" GEO Week 2023 programme
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.
Description: Join FAO for the launch of the flagship report "The State of Food and Agriculture 2023", which will be held under the theme "Revealing the true cost of food to transform agrifood systems". Monday, 6 November 2023 | 12.30 – 14.00 (Rome hours) Sheikh Zayed Centre, FAO headquarters and online | Register here The 2023 edition of The State of Food and Agriculture report focuses on uncovering the hidden impacts of our agrifood systems for informed decision-making. It proposes true cost accounting (TCA) as an approach to quantify the hidden costs and benefits of our agrifood systems. Using TCA, this report provides a first attempt at quantifying the environmental, social and health hidden costs of agrifood systems for 154 countries. The findings are a starting point to stimulate debate and dialogue among agrifood systems actors. This initial quantification can be improved based on country-specific information and input from in-country stakeholders and experts, to guide in-depth analyses for transformative actions at country-level. The 2024 edition of the report will continue on this theme and focus on case studies to highlight the flexibility of this approach to support sustainable agrifood systems transformation. Opened by the FAO Director-General, the high-level panelists will share their experiences in addressing these hidden costs of agrifood systems, highlighting the importance of measuring and integrating them into decision-making in order to improve the value of agrifood systems. A discussion will follow on how the TCA approach can reinforce the environmental, social and economic sustainability of agrifood systems. Interpretation will be provided in all UN languages. Previous editions of the series The State of Food and Agriculture are available here.
Source: ESCAP SIAP (Data extracted on: 13 Oct 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 Festival de Datos UNCEBD UNMGCY 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 OpenMinded 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!
