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 )
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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
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.
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.
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.
Description: This Fourth Expert Meeting of the Working Group allows members of the Working Group together with invited experts to review, discuss and consider its activities and progress to-date; efforts to advance the UN-IGIF and its nine strategic pathways with UN-IGIF-Hydro; and the workplan for the period 2023 - 2024 to enhance the availability and accessibility of marine geospatial information for resilience and sustainable development. The Fourth Expert Meeting will be held in conjunction with the Fourteenth meeting of the Marine Spatial Data Infrastructure Working Group of the International Hydrographic Organization and the Annual meeting of the Marine Domain Working Group of the Open Geospatial Consortium. These meetings will be co-located within a week-long programme, with joint agenda items where appropriate, to deliver the objectives and desired outcomes for each of the three working groups. These joint meetings enhance peer-to-peer engagements, interactions, learning and exchange of knowledge, information and experience, promote coordination, collaboration and avoid duplication of efforts. UN-GGIM recognized the need to consider the marine environment, namely, inland waters and waterways, shorelines, coastal waters, seas and oceans, as a key component of any national geospatial information management arrangements essential for the effective administration, management and governance of land and marine spaces, and the national geospatial resources of Member States. At its Seventh Session in August 2017, UN-GGIM established the Working Group on Marine Geospatial Information and endorsed its terms of reference. Marine geospatial information encompasses inland water bodies and waterways, coastal zones, seas and oceans contributes to the availability and accessibility of comprehensive location-based information to support Governments in developing policies, priorities and programmes, make decisions, and measure and monitor progress and outcomes. The Working Group aims to play a leading role in marine geospatial information policies at the global level to support the wellbeing of billions of inhabitants reliant on sustainable inland water bodies and waterways, coastal zones, seas and oceans. The Working Group is to provide a forum for dialogue and coordination among Member States, and between Member States and the International Hydrographic Organization, United Nations system and relevant international organizations to enhance global cooperation, advocate and improve the availability and accessibility of marine geospatial information
Source: Eurostat (Data extracted on: 19 May 2023 )
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Organizer(s): European Statistical Advisory Committee Eurostat European Central Bank Federation of European National Statistical Societies Sapienza - University of Rome, Italy ISTAT Italy Banca d'Italia 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.
Description: The United Nations Committee of Experts on Food Security, Agricultural and Rural Statistics (UN-CEAG) task team on food security and consumption statistics organized a seminar on household food consumption data and statistics, which took place on Friday, 14 October 2022. On this occasion, the team in charge of drafting the guidelines on processing data gathered in Rome, with the participation of academics, organizations and National Statistical Offices. The meeting discussed different issues related to using food consumption data from HCES, with a main focus on improving production and use of the data. It was rounding off a workshop in Rome organized by the UN-CEAG task team on food security and consumption statistics. The work was more specifically the on developing a guideline for processing food consumption data in one process to accommodate all the major uses of the data, which is one of the ongoing projects under UN-CEAG. The presentations were followed by a questions and answers session. AGENDA Welcome remarks – Ellen Cathrine Kiøsterud, Statistics Norway Part I: Show and Tell: Use of household food consumption data (HCES) in food security analysis Use of HCES data in the Pacific Region – Michael Sharp, Pacific Community-South Pacific Commission (SPC) (Presentation) Using HCES for Cost of the Diet analysis – Mysbah Balagamwala, World Food Programme (WFP) (Presentation) Comparing HCES with diet recommendations, an example with EAT-Lancet thresholds – Astrid Mathiassen, Statistics Norway (Presentation) Discussion Part II: Initiatives to improve collection and use of household food consumption data The Pacific Community (SPC) Food Away from Home research project and the UN CEAG working group – Michael Sharp, Pacific Community-South Pacific Commission (SPC) (Presentation) From Guidelines to Impact: The Experience with the IAEG-AG Food Consumption Measuring Guidelines – Alberto Zezza, World Bank LSMS team (Presentation) The FAO use of HCES for computing good and nutrient statistics – Ana Moltedo, FAO (Presentation) Discussion Part III: Guidelines for processing food consumption data. Presentation of the draft, discussion issues and input wanted going forward – Ellen Cathrine Kiøsterud, Statistics Norway (Presentation) Part IV: How can stakeholders cooperate for improved HCES food consumption data capacity building, production, processing, and publishing? Presentation of the position paper – Haoyi Chen, The Inter-Secretariat Working Group on Household Surveys (ISWGHS) (Presentation) The COMESA project on improving and using HCES food consumption – Themba Munalula, COMESA (Presentation) Discussion Watch the recording (Passcode: !3I@SnBR) For more information, please visit the UN-CEAG website.
Description: The twenty-seventh session of the Coordinating Working Party on Fishery Statistics (CWP) will be held in Rome, Italy, from 20 to 24 June 2022, in conjunction with the meetings of the Aquaculture Subject Group (CWP-AS) and the Fisheries Subject Group (CWP-FS). * The meeting documents will be made available under the dedicated meeting webpage prior to the Session.
Description: The International Working Group on Price Indices, known as the "Ottawa Group", was formed in 1994 to provide a forum for specialist academics and practitioners to share their experiences and knowledge and discuss research on crucial problems related to the measurement of price change. While theoretical issues are covered in the discussions, the Group focuses primarily on applied research, particularly, but not exclusively, in the area of consumer price indices. The Group examines the advantages and disadvantages of various concepts, methods and procedures in the context of realistic operational environments, supported by concrete examples whenever possible. Participants are specialists and practitioners who work for or advise statistical agencies in different countries or international organizations. The Group meets every other year, alternating with the meetings of the Group of Experts on Consumer Price Indices, which are jointly organized by the Economic Commission for Europe (ECE) and the International Labour Organization (ILO).
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 )
[+] More
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.
Description: This webinar will discuss the results of the Statistical Capacity Assessment for the FAO-SDG indicators, together with OCS’s capacity development strategy. The event aims to assist FAO-HQ and decentralized offices in designing targeted interventions and mobilizing resources to support countries in collecting, analyzing and using the SDG indicators in decision-making. Speakers: - Pietro Gennari, FAO, Chief Statistician - Ayça Dönmez, Statistician, Office of the Chief Statistician, FAO Find out more: - Presentation - FAO’s Statistical Capacity Assessment (Country profiles) - Related article SDG indicators under FAO custodianship: What’s new? (also available in French and Spanish)
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of the course is to provide participants with theory and practice of quality management, process and product quality. To this purpose, a brief overview of the ESS common quality framework, the quality dimensions and quality management models is given. Then, the focus of the course shifts on process and product quality measurement for statistics based both on traditional surveys and on multiple sources, including administrative data. The statistical process is described and tools for preventing and reducing the errors are presented and discussed, with a particular focus on the data collection phase. Methods and tools to assess non-sampling errors in statistical products are widely described. ESS quality reporting requirements are also taken into account.
Target Audience: Staff of national statistical institutes involved in statistical production processes and in quality management. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The Academy is being offered to meet the current and future needs of countries to strengthen their labour market statistics and analysis systems in the wake of new international statistical standards and groundbreaking developments in the world of statistics.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: World Bank (Data extracted on: 14 Jan 2021 )
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Organizer(s): World Bank
Description: 11 to 15 November 2019, Frascati, Italy – A total of 30 participants attended the fifth Center for Development Data (C4D2) International Training Week titled “Special Topics and Recent Developments in Sampling Theory and Practice” held under the aegis of the Partnership for Capacity Development in Household Surveys for Welfare Analysis. The five-day training included lectures and seminars on Sampling principles; Testing sampling designs through sampling simulations; Sampling frames – problems, consequences and solutions; Stratification as an optimization problem; Sampling with remote sensing data and gridded sampling frames; Integration of data sources via statistical matching; Accuracy in official statistics; Total non-response in sample surveys; New sampling strategy in social surveys; Use of auxiliary information for planning the Post Enumeration Survey (PSE) in the population census; Introduction to adaptive sampling; and Digital transformation in action: moving to a data driven organization.
Target Audience: The training aimed at capacitating instructors from the regional statistical training centers on new sampling solutions to address statistical challenges and develop smart solutions to sample surveys thereby among other things, improve the reporting of SDGs for the full benefit of the region’s citizens.
Description: This seminar will discuss some of the key features of the FAO microdata dissemination platform and focus on how FAO officers can utilize the FAM for finding and sharing microdata
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: (a) Illustrate the overall concepts of the Enterprise Architecture and models for the EA based on the “ESS EA Reference Framework” and the “ESS Statistical Production Reference Architecture”; (b) Focus on the Business Architecture within an NSI; (c) Review and explanation of the main technical and statistical standards: GAMSO; GSBPM; GSIM; CSDA; CSPA.
Target Audience: National delegates representing their country in Working Groups, Task Forces and Committees of the European Statistical System (ESS) or in the Council Working Groups on Statistics. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * illustrate how to define a standardization strategy compliant with the ESS vision 2020; * focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI); * highlight the main aspects related to the quality management in the statistical process and present the ESS standards for reference metadata and quality reporting (ESMS, ESQRS, SIMS, etc); * explain the suitable steps for implementing a standardization strategy based on a metadata-driven architecture that implements more efficient processes related to the dissemination, reporting and more in general to the data and metadata sharing; * provide guidelines and best practices on how to use tools developed by Eurostat or available within the statistical community.
Target Audience: Staff working in supporting dissemination, reporting and data or metadata management. No specialist IT knowledge required. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: This seminar will provide an overview of two currently available standards related to data editing and imputation, described recommended practices and explained the roles of FAO statisticians in the implementation of these standards. Speakers: Pietro Gennari, Chief Statistician, FAOMarcello D’Orazio, Statistician, Office of the Chief Statistician, FAO Find out more: Presentation
Description: This course aims to equip participants with the skills needed to use STATA to analyse the labour market for evidence-based policy-making, including SDG and decent work indicators.
Description: During this seminar, the Office of Chief Statistician will discuss some of the key actions the office is taking to assess and improve the quality of statistics produced and disseminated by FAO. Speakers: Pietro Gennari. Chief Statistician, FAOMarcello D’Orazio, Statistician, Office of Chief Statistician, FAO Find out more: Presentation
Source: Eurostat (Data extracted on: 03 Jun 2019 )
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Organizer(s): Eurostat Expertise France
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background and who are expected to handle big data infrastructure on their own. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: The Twenty-Sixth Session of the Coordinating Working Party on Fishery Statistics (CWP-26) will be held in Rome, Italy, on 17-18 May 2019 in conjunction with joint and separate meetings of the Aquaculture Subject Group (CWP-AS) and Fisheries Subject Group (CWP-FS).
Description: The main objective of the course is to better equip and orientate national and international stakeholders in the new SDG statistical monitoring system.
Course Language: English
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Institutional capacity building for effective labour market information systems
Description: This course aims to build the institutional capacity to design effective systems for comprehensive, timely and high-quality labour market data production and analysis that supports evidence-based policy formulation.
