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: 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: 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: 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.
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.
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: 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.
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.
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.
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: 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.
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 )
[+] More
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
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: 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.
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.
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.
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.
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: 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
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.
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.
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...
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.
Topics:
Information Standards and Technologies for Describing, Exchanging and Disseminating Data and Metadata
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: 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 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.
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: 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.
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.
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 La 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: 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: 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: 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: 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”.
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.
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.
