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.
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: 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.
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: 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: 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: 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”.
