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LacSC-Ties-Envibayes-Envrasa 2026

Description: The five-day course, delivered by the IMF's Statistics Department in cooperation with the Caucasus, Central Asia, and Mongolia Regional Capacity Development Center, will focus on how digitalization is impacting financial sector statistics. The digital revolution in finance is not just a technological shift, but a fundamental transformation of the financial landscape, reshaping how financial services are delivered, consumed, and managed. While offering immense opportunities for efficiency and inclusion, digitalization presents a significant challenge for traditional financial sector statistics: how do we accurately capture and reflect these rapidly evolving dynamics? For decades, financial sector statistics have relied on established methodologies and reporting frameworks built around the activities of traditional financial institutions like banks and insurance companies. With the rise of fintech companies, mobile payments, peer-to-peer lending platforms, digital currencies, and crypto assets, it is essential that statistical methodological guidance underlying financial sector statistics as well as data collection accurately capture these emerging instruments and market participants, crucial for maintaining the stability and effectiveness of the financial system. This workshop will focus on how to reflect digitalization in financial sector statistics, discuss the emerging methodologies and underscore the collaborative effort between macroeconomic statisticians, regulators, policymakers, and the private sector to explore non-traditional data sources. Participants are expected to actively contribute to presentations on country practices and exercises. Peer learning will be an essential element of the workshop.

Target Audience: Mid-level government officials from central banks, financial services supervisors and regulators and other agencies involved in financial sector statistics.

Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims to provide a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application in addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts. The course will also elaborate on the topics being addressed during the current update of BPM6.The course consists of a series of lectures and workshops analyzing country cases with a strong data component and is designed to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross-border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in the global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrate data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.

Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6).

01 Dec 2025 – 04 Dec 2025 Tokyo, Japan

Source: ESCAP SIAP (Data extracted on: 08 Dec 2025 )

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27 Oct 2025 – 27 Oct 2025

Source: ESCAP (Data extracted on: 19 Jan 2026 )

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Organizer(s): ESCAP

Description: This Stats Café showcased the practical tools and resources developed by CAD. It provided participants with insights into the application of these tools, share country experiences, and foster dialogue on scaling up administrative data use for gender-responsive and inclusive statistics. Combined presentations Additional material: Administrative Data for Statistical Purposes Concept note Flyer Agenda Opening remarks Presentation 1: Overview of the work and tools of the CAD, Isabella Schmidt, CAD Presentation 2: Advocacy toolkit, Sylvia Maina, UN Women Presentation 3: Mapping tool, Aishath Shahuda, Maldives Presentation 4: Quality assessment toolkit, Silja Emmel Presentation 5: Use and adjustments of the quality toolkit in practice, Oyunbileg Delgersaikhan, Mongolia Presentation 6: Data linking toolkit, Isabella Schmidt, CAD Q & A and discussion Background Administrative data collected by governments and service providers during their day-to-day business is an increasingly important source of official statistics. However, many countries, including those in the ESCAP region, are still under-utilizing this potential and face challenges such as data quality, legal frameworks, interoperability, data privacy and security. Addressing these barriers is therefore crucial to strengthening the capacity of National Statistical Systems to fully leverage administrative data for statistical purposes. Responding to this challenge, the United Nations Statistics Division, the Global Partnership for Sustainable Development Data (GPSDD) and UN Women have jointly convened the Collaborative on Administrative Data (CAD), a multi-stakeholder initiative that brings together over 25 national statistical offices and 20 regional and international agencies to strengthen the capacity of countries to use administrative data for statistical production. CAD addresses key challenges in data quality, interoperability, and institutional coordination, particularly in contexts where administrative data is underutilized. Many CAD members have expressed the need for practical guidance and tools to assess, manage, and improve the quality and usability of administrative data sources. To meet this need, the CAD has developed a series of tools and guidance materials, including a toolkit for the assessment of administrative data quality, an advocacy toolkit, and resources on data linkage, to support national statistical systems in harnessing administrative data. , Stats Café Home: Upcoming events Concluded events

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.

14 Oct 2025 – 14 Oct 2025

Source: ESCAP (Data extracted on: 19 Jan 2026 )

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Organizer(s): ESCAP

Description: This Stats Café will explore what CRVS resilience means in theory and in action. The session will feature insights from the authors of the foundational CRVS resilience framework, highlights from a recent UNICEF report applying this framework, and a country case study showcasing practical approaches to managing systemic risk. Join us to gain a clearer understanding of resilience and practical ideas for strengthening national CRVS systems. Agenda Introduction of the session by the Moderator Carmen Sant-Fruchman to present of the CRVS Resilience framework Bhaskar Mishra (UNICEF) to present the findings of their Resilience report Russell Burnard (New Zealand) to present the New Zealand plan to resilience building of their CRVS system Q & A Presentation (combined) Background Resilience has been identified as a key priority for the next phase of the CRVS Decade in Asia and the Pacific. During the 3rd Ministerial Conference on CRVS, it was identified as essential for safeguarding CRVS systems against shocks and long-term risks. However, the concept of resilience, although widely understood, can be challenging to put into practice. This Stats Café will explore what CRVS resilience means in theory and in action. The session will feature insights from the authors of the foundational CRVS resilience framework, highlights from a recent UNICEF report applying this framework, and a country case study showcasing practical approaches to managing systemic risk. Join us to gain a clearer understanding of resilience and practical ideas for strengthening national CRVS systems. , Stats Café Home: Upcoming events Concluded events

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06 Oct 2025 – 10 Oct 2025 Chiba, Japan

Source: ESCAP SIAP (Data extracted on: 08 Dec 2025 )

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Organizer(s): FAO ESCAP SIAP

Description: The Food and Agriculture Organization is the custodian agency responsible for developing and updating international methodologies and standards related to food and agriculture statistics. This includesthe World Programme for the Census of Agriculture (WCA); the 22 Sustainable Development Goal (SDG) indicators under FAO custodianship; guidelines related to agriculture surveysfisheries statisticsfood consumption; the food component of the Consumer Price Index (CPI); and the components of international classifications that are related to food and agricultureincluding in the Central Product Classification (CPC)Harmonized System (HS) used for trade statistics and the International Standard Industrial Classification (ISIC) of all economic activities.These international methodologiesguidelinesand classifications are critical to enable the linkage of data across multiple sources. They are updated periodically to reflect economicsocial and technological changesthough in a manner and with sufficient lag as to allow time trends to reflect actual phenomena rather than methodological changes. They are developed in consultations with experts from various subject matter areas and institutionsincluding national governmentsinternational and regional organizations such as UN agenciesacademianon-governmental organizations andwhere relevantthe private sector. They are presented to the UN Statistics Commissionrepresenting over 180 UN member statesfor final review and approval.FAO contributes to development of international methodologies and guidelines and classificationsand leads this work with respect to agriculture and food statisticsto leverage its expertise and meet its constitutional mandatewhich requires the organization to“collectanalyzeinterpretand disseminate information relating to nutritionfood and agriculture’“promote and … recommend national and international action with respect to scientifictechnologicalsocial and economic research relating to nutritionfood and agriculture”; and “furnish such technical assistance as governments may request1.”

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15 Sep 2025 – 26 Sep 2025 Abu Dhabi, United Arab Emirates

Source: IMF (Data extracted on: 08 Dec 2025 )

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Organizer(s): IMF AI Generated

Description: This course, delivered by the Statistics Department, covers the conceptual and practical aspects of compiling monetary statistics, focusing on the central bank (CB) and other depository corporations (ODCs), as set out in the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course covers the building blocks of MFS including the concepts of residency and institutional sectors, the characteristics and types of financial assets and liabilities, as well as the valuation and other accounting principles relevant for the compilation of monetary statistics. Participants will become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and how the sectoral balance sheets of DCs are consolidated and rearranged to derive analytical presentations and money aggregates. The course will also discuss the treatment of electronic money and central bank digital currencies in MFS, as well as introduce the other financial corporations (OFCs). The course will comprise lectures and exercises focused on practical aspects of compiling monetary statistics for central banks and ODCs using the standardized report forms (SRFs), and derivation of analytical surveys from SRFs: central bank survey, ODCs Survey, and DCs Survey. Emphasis is also placed on peer learning through sharing of country experiences among the participants.

Target Audience: Officials from central banks and/or financial regulatory institutions involved in compilation and analysis of monetary statistics.

Course Language: English

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Event URL: Event Page

Asia-Pacific Stats Café Series: Asia and the Pacific Regional Trends on Forced Displacement and Statelessness

15 Sep 2025 – 15 Sep 2025

Source: ESCAP (Data extracted on: 19 Jan 2026 )

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Organizer(s): ESCAP

Description: Presentation (combined) Concept note About the session The Asia-Pacific region continues to face multifaceted and evolving displacement challenges. From large-scale emergencies requiring immediate humanitarian assistance to long-standing protracted situations demanding sustainable solutions, millions of people in the region remain uprooted from their homes. The majority of refugees seek safety in neighboring countries, many of which are low- or middle-income nations facing their own development pressures. Meanwhile, climate-induced disasters, environmental degradation, and increasingly frequent extreme weather events further exacerbate humanitarian needs, creating new risks of displacement and statelessness. UNHCR works closely with governments, humanitarian actors, and development partners to provide protection and assistance to forcibly displaced and stateless populations, while advocating for their inclusion in national data systems such as censuses, surveys, and Civil Registration and Vital Statistics (CRVS). Strengthening data on displacement and statelessness is critical to evidence-based policymaking and durable solutions. To better understand and communicate the scale, characteristics, and emerging dynamics of forced displacement and statelessness, UNHCR Regional Bureau for Asia and the Pacific (RBAP) produces annual flagship reports titled Asia & the Pacific Regional Trends1 – Forced Displacement and Statelessness. The 2024 edition estimates that 17.3 million people were forcibly displaced, stateless, returnees, or otherwise of concern to UNHCR by the end of 2024—a 10 per cent increase from 2023. The region now hosts 13 per cent of the global population under UNHCR’s mandate (17.3 million of 129.9 million globally), 18 per cent of the world’s refugees and asylum-seekers (7.2 million of 39.3 million), and 58 per cent of the global stateless population (2.5 million of 4.4 million). Addressing forced displacement and statelessness requires a multi-dimensional approach involving stakeholders from different but interconnected sectors. CRVS can play a pivotal role in ensuring that every person is recognized under the law, regardless of their circumstances. In June 2025, leaders from across Asia and the Pacific convened at the Third Ministerial Conference on CRVS in Asia and the Pacific2to celebrate achievements since the start of the Asia-Pacific CRVS Decade 2015-2024 and reaffirm their commitment to universal and responsive CRVS systems by extending the Decade to 2030. The Ministerial Declaration on a Decade of Action for Inclusive and Resilient CRVS in Asia and the Pacific3 explicitly noted that refugees, internally displaced persons and stateless persons still face significant barriers to gaining access to civil registration services, due to challenges such as the lack of requisite documents. Countries in the region have committed to addressing these barriers by 2030, enabling these population groups to have access to services and protections needed to fully exercise their rights and freedoms. Objectives In light of this, Statistics Division, ESCAP and UNHCR organized a Stats Café to: Share key findings and trends on forced displacement and statelessness in Asia and the Pacific based on UNHCR’s 2024 Regional Trends Report. Showcase the Philippines' experience in including forcibly displaced persons and populations at risk of statelessness in the Community-Based Monitoring System (CBMS), providing a model for inclusive national statistics. Highlight Thailand’s integrated CRVS approach to ending statelessness for nearly half a million people. 1 See Asia & the Pacific Regional Trends – Forced Displacement and Statelessness 2 Report on the Third Ministerial Conference on Civil Registration and Vital Statistics in Asia and the Pacific (ESCAP/MCCRVS/2025/6) 3 The key outcome document of the Third Ministerial Conference on CRVS in Asia and the Pacific (ESCAP/MCCRVS/2025/6/Add.1) , Stats Café Home: Upcoming events Concluded events

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09 Sep 2025 – 09 Sep 2025

Source: ESCAP (Data extracted on: 19 Jan 2026 )

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Organizer(s): ESCAP

Description: Background and Rationale: Unique identification numbers (UINss) are often implemented in modern civil registration and identity management systems. They enable accurate identification of individuals across their life course and across administrative systems, supporting efficient service delivery, inclusive governance, and high-quality statistics. UINs can support linking data across health, education, and social protection systems, and work as a building block for building robust administrative registers. However, their implementation also raises concerns around privacy, data protection, exclusion, and scope creep—especially for vulnerable populations. This Stats Café explored the role of UINs in civil registration systems, their applications in governance and statistics, and the principles for designing inclusive and secure identifier systems. It drew on a recent report developed by UNICEF and ESCAP. Presentation (combined) Background (Advocacy Materials): The Role of Unique Identifiers in Civil Registration & Vital Statistics and National Identification Systems Objectives: Introduce the concept and types of unique identification numbers and their relevance to CRVS and identity management systems. Discuss the benefits of UINs for governance, service delivery, and statistical production. Highlight risks and challenges associated with UINs, including privacy, data security, and exclusion. Share country experiences and good practices in designing and implementing inclusive identifier systems. , Stats Café Home: Upcoming events Concluded events

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Event URL: Event Page

Additional Urls:

https://getinthepicture.org/event/asia-pacific-stats-cafe-session-unique-identifiers-civil-registration-strengthening

Regional Workshop on Ecosystem Accounting in Support of the Sustainable Development Goals and Global Biodiversity Framework

08 Sep 2025 – 11 Sep 2025 Jakarta, Indonesia

Source: ESCAP SIAP (Data extracted on: 08 Dec 2025 )

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Organizer(s): ESCAP SIAP UNSD

01 Sep 2025 – 15 Apr 2026

Source: IMF (Data extracted on: 08 Dec 2025 )

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Organizer(s): IMF AI Generated

Description: This course serves as a foundation for those interested in MFS compilation or analysis, namely, for both compilers and users. It discusses the principles and concepts underlying the methodology for the collection, compilation, and analytical presentation of monetary statistics as set out in the 2016 Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). This course provides the participants with an introduction of the framework for compiling monetary statistics, namely their fundamental building blocks. These include the key concepts of institutional units and sectors, residency and economic territory, and the characteristics of financial assets and liabilities. It also explains the accounting rules for compiling MFS, including time of recording and valuation principles. With this background, the course delves into how information extracted from the accounting records of financial corporations (central bank, other depository corporations and other financial corporations) are transformed into sectoral balance sheets using the established framework, which are the cornerstone for analytical presentations of monetary statistics. Finally, the course sheds light on the compilation process for money and liquidity aggregates, domestic credit, and other relevant indicators, along with their significance in macroeconomic analysis and policy formulation.

Target Audience: Officials from central banks and/or financial regulatory institutions involved or interested in understanding MFS compilation and analysis.

Organizer(s): AITRS

14 Jul 2025 – 16 Jul 2025 Greater Noida, India

Source: UNSD (Data extracted on: 08 Jul 2025 )

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Organizer(s): UNSD ESCAP SIAP MoSPI AI Generated

Description:

The Capacity Building Workshop on “Data Ethics, Governance, and Quality in a Changing Data Ecosystem” for countries in the Asia-Pacific region will take place from 14 to 16 July 2025, in Greater Noida, Delhi-NCR, India. The workshop targets Chief Statisticians and senior statisticians and is jointly organized by the United Nations Statistical Institute for Asia and the Pacific (SIAP) and the United Nations Statistics Division (UNSD), in cooperation with the National Statistical Systems Training Academy (NSSTA), Ministry of Statistics and Programme Implementation (MoSPI), Government of India.

This workshop aims to strengthen the capacity of national statistical systems in countries of the Asia-Pacific region to adapt to the rapidly changing data ecosystem. Countries of the Asia region face unique challenges in managing their national data ecosystems, particularly in the wake of the COVID-19 pandemic, which highlighted the need for resilient, adaptive, and high-quality statistical systems that provide timely and disaggregated data.

After the welcome address and opening remarks, followed by a preliminary session to set the context of the event, the workshop will proceed with four key segments.

Throughout the workshop, participants will engage in interactive breakout sessions and group discussions, providing a platform to share experiences, challenges, and solutions related to their own national contexts. The workshop will culminate in two concluding sessions organized as group and panel discussions, which will summarize key insights and recommendations and propose a way forward.

With the combined efforts of UNSD, SIAP, and MoSPI, this workshop will foster collaboration and knowledge-sharing among senior statisticians and experts in the region. The goal is to ensure that countries of the Asia-Pacific region are equipped to modernize their statistical systems and address the emerging challenges posed by an increasingly complex data ecosystem. For more information, see the event website here.

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Event URL: Event Page

Review of SDG 5: What do Young Women have to say?

11 Jul 2025 – 11 Jul 2025 United States

Source: Paris21 (Data extracted on: 12 Sep 2025 )

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Integrated SDG Monitoring and Reporting in Cambodia

09 Jul 2025 – 10 Jul 2025 Phnom Penh, Cambodia

Source: ESCAP (Data extracted on: 19 Jan 2026 )

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Measuring the skills mismatch

07 Jul 2025 – 01 Aug 2025

Source: ILO ITC (Data extracted on: 03 Dec 2024 )

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Title in French: Mesurer l'Inadéquation des compétences

Organizer(s): ILO ILO ITC OECD European Training Foundation CEDEFOP

Description: La demande de données sur les différentes formes d'inadéquation des compétences a augmenté ces dernières années, conformément à la priorité accordée par les pays à la formulation de mesures et d'outils politiques efficaces pour améliorer la qualité et la pertinence de la formation des compétences. Nombreux sont ceux qui ont souligné l'importance d'une meilleure utilisation des qualifications et des compétences professionnelles comme condition préalable à de meilleurs résultats en matière d'emploi et d'employabilité, ainsi qu'à une amélioration de la productivité du travail. Le concept d'inadéquation des compétences est toutefois large et ambigu. Il peut se rapporter à de nombreuses formes de frictions sur le marché du travail, notamment l'inadéquation verticale, les lacunes en matière de compétences, les pénuries de compétences, l'inadéquation des qualifications, l'inadéquation du domaine d'études (horizontal) et l'obsolescence des compétences. Cela peut conduire à une mauvaise interprétation des résultats. L'existence d'estimations basées sur des approches de mesure différentes est également source de confusion. L'inadéquation des compétences est une préoccupation pour les décideurs politiques, les employeurs et les travailleurs. Il s'agit d'un thème récurrent dans la formation professionnelle et le développement des compétences, et de nombreuses initiatives politiques ont été lancées pour remédier à diverses formes d'inadéquation des compétences. L'élaboration d'une politique des compétences fondée sur des données probantes nécessite des statistiques sur les différentes formes d'inadéquation des compétences. Fort de sa longue expérience en matière de formation sur les compétences et l'analyse du marché du travail, le Centre international de formation de l'OIT, en pleine collaboration avec le Département des statistiques de l'OIT, et en coordination avec la branche Compétences de l'OIT, la Fondation européenne pour la formation, l'Organisation de coopération et de développement économiques, ainsi que le Centre européen pour le développement de la formation professionnelle, est fier de proposer pour la première fois en français cette formation en ligne de quatre semaines sur la mesure et l'analyse de l'inadéquation des compétences.

Target Audience: Le cours s'adresse à: - Les statisticiens du travail/fonctionnaires des bureaux nationaux de statistiques ; les ministères du travail et les institutions connexes (telles que les observatoires du travail) ; d'autres ministères ou institutions gouvernementales engagés dans l'emploi, le développement des compétences, l'adéquation et l'analyse des compétences ou impliqués dans la collecte et l'analyse d'informations sur le marché du travail ; - Les analystes des politiques d'emploi et de développement, les instituts de recherche et les instituts universitaires, ainsi que les organisations internationales et les bailleurs de fonds engagés dans l'adéquation des compétences ; - Les membres des conseils de compétences, des autorités nationales de l'EFTP ou d'institutions similaires ; - Les représentants d'organisations de travailleurs et d'employeurs participant à des plans de développement des compétences sectoriels, régionaux ou nationaux.

23 Jun 2025 – 27 Jun 2025 Turin, Italy

Source: ILO ITC (Data extracted on: 03 Dec 2024 )

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Organizer(s): ILO ILO ITC AI Generated

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.

Organizer(s): AITRS

Description: Body South-South cooperation, alongside other international development support, is key to achieving the 2030 Agenda, but the only form of development cooperation lacking systematic data. Momentum to measure South-South cooperation is rapidly building following the endorsement of SDG indicator 17.3.1 in March 2022 at the UN Statistical Commission, and its voluntary ‘Conceptual Framework to Measure South-South Cooperation’ which can make the increasing contribution of South-South cooperation visible. Developed by the South for the South, the new ’UN Framework’ can enable globally balanced, inclusive and representative information on development support through reporting of South-South data to the SDG indicator alongside data on North-South flows which have existed for decades. Now a Manual has been developed with pioneering countries, and first data are reported.The event aims at raising awareness and sharing experience on reporting South-South data by discussing: * How are national authorities to collect and report data on South-South cooperation projects? * How can South-South data support analytical and strategic management and effective allocation of South-South cooperation flows to achieve sustainable development? * What are the necessary steps, nationally and internationally, to support the process of measuring South-South cooperation?The event is structured in two parts: * High-level discussion on starting, facilitating, and further supporting national process of measuring South-South cooperation, showcasing achievements, such as developed concepts and tools, including e-learning course and data platform for South-South cooperation, and addressing the political support needed to support the demand for this work across countries of the South. * Technical webinar, targeting national and international experts to collect and report data on South-South cooperation, by studying agreed concepts and methodologies, including available tools. UNCTAD will launch the South-South data website, building on expertise and contributions by pioneering countries in Latin America.

Course Language: English

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Event URL: Event Page

STATA for Labour Market Analysis

09 Jun 2025 – 11 Sep 2025 Turin, Italy

Source: ILO ITC (Data extracted on: 03 Dec 2024 )

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Organizer(s): ILO ILO ITC AI Generated

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.

Course Language: English

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Event URL: Event Page

Data analytics and knowledge management for development

09 Jun 2025 – 25 Jul 2025 Turin, Italy

Source: ILO ITC (Data extracted on: 03 Dec 2024 )

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Organizer(s): ILO ILO ITC AI Generated

Organizer(s): AITRS

19 May 2025 – 21 May 2025

Source: AITRS (Data extracted on: 08 Dec 2025 )

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Title in Arabic: إحصاءات الهجرة في العصر الرقمي

Organizer(s): AITRS ESCWA

Description: تُعد الهجرة من القضايا المحورية التي تتطلب بيانات دقيقة لفهم أبعادها ورسم السياسات الفعّالة للتعامل معها. مع تزايد أهمية البيانات في مراقبة أنماط الحراك البشري، تبرز الحاجة إلى تطوير المهارات في مجال إحصاءات الهجرة سواءً باستخدام الأساليب التقليدية المعتمدة على التعدادات والمسوح والسجلات الإدارية، أو من خلال استكشاف مصادر غير تقليدية كالبيانات الكبيرة. غير أن الكثير من المؤسسات والباحثين يواجهون صعوبات تقنية أو لوجستية تحول دون استخدام أدوات التحليل المتقدمة. لذا، صُمّمت هذه الورشة خصيصًا لتقديم محتوى مبسّط وتطبيقي باستخدام الأدوات المتاحة، مع التركيز على التحليل العملي عبر بعض التطبيقات التي لا تتطلب مهارات برمجية معقّدة. من هذا المنطلق تأتي هذه الورشة التدريبية، التي ينظمها المعهد العربي للتدريب والبحوث الاحصائية بالتعاون مع اللجنة الاقتصادية والاجتماعية لغرب اسيا – الاسكوا، لدعم قدرات الأجهزة الإحصائية العربية في مجال تحليل بيانات وإحصاءات الهجرة سواء من خلال البيانات التي يتم جمعها عن طريق التعدادات السكانية أو البيانات التي يتم جمعها من خلال المسوح الميدانية، مع التطرق أيضاً للبيانات الضخمة واستخدام الذكاءالصناعي في تحليل بيانات الهجرة.

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Objective analysis of the census to improve the use of data

19 May 2025 – 21 May 2025 Jordan

Source: AITRS (Data extracted on: 08 Dec 2025 )

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Title in Arabic: التحليل الموضوعي للتعداد لتحسين استخدام البيانات

Organizer(s): AITRS ESCWA UNFPA ONS United Kingdom GCC-Stat

Description: توضح هذه المذكرة المفاهيمية خططًا لعقد ورشة عمل إقليمية تهدف إلى تعزيز قدرة المنظمات الإحصائية الوطنية (NSOs) على التحليل الموضوعي للتعداد كاستراتيجية لنشر النتائج. ستغطي الورشة محتويات تتعلق بعملية تحديد واختيار الموضوعات، ووضع خارطة طريق للتحليل الموضوعي، وتقديم مختلف الأساليب لتنفيذ التحليل، بالإضافة إلى استعراض نقاط القوة، التحديات، والمخاطر المرتبطة بذلك. كما سيتم تحديد الأدوات وأفضل الممارسات من المنطقة وخارجها للتحليل الموضوعي، بما في ذلك مختلف المخرجات وطرق نشرها (مثل التقارير التفصيلية، المذكرات السياسية، الأطالس الموضوعية، التصورات الجغرافية، وغيرها)، بهدف تحسين تأثير بيانات التعداد على السياسات والبرامج. ورغم أن التركيز سيكون على الدول التي أكملت التعدادات مؤخرًا، إلا أن جميع الدول التي قامت بتنفيذ جولة التعداد 2020 أو تخطط لجولة 2030 سيتم أخذها في الاعتبار.

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Event URL: Event Page

Introducing the all-new Asia-Pacific Data and Statistics Horizon (DASH) Teams: Find out how you can get involved?

19 May 2025 – 19 May 2025

Source: ESCAP (Data extracted on: 19 Jan 2026 )

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Organizer(s): ESCAP AI Generated

12 May 2025 – 13 May 2025 Muscat, Oman

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): UNCTAD GCC Stat

Description: Body This workshop is organized jointly by UN Trade and Development (UNCTAD) and the Statistical Centre for the Cooperation Council for the Arab Countries of the Gulf (GCC-Stat).UNCTAD will present Trade-in-Services Statistics Information System (TiSSTAT) in details. TiSSTAT is a modern tool designed to facilitate collecting and processing SITS by the National Statistical Centers and in collaboration with other national agencies. A system that enables the production of country-owned high-quality and internationally comparable trade-in-services statistics while reducing initial surveying costs and response burden significantly. The main objectives of the Workshop include: * Capacity building for SITS surveys: Participants will enhance their ability to implement Statistics on International Trade in Services (SITS) surveys, focusing on institutional arrangements, business registers, and questionnaire design. * Hands-On TiSSTAT training: Participants will engage in practical activities with TiSSTAT, a multi-user tool for data collection and processing, including live demonstrations, exploring questionnaires, conducting data entry, and managing sampling and reporting. * Exchange of practices and challenges: Countries will share their experiences and challenges in compiling trade in services statistics, helping identify priority areas for support. * Methodological best practices: The workshop will address methodological aspects like data validation, stratification, and extrapolation to align with international standards and improve data quality. * Survey details for SITS: Sessions will cover survey components, such as enterprise identification, EBOPS categories, partner breakdowns, and modes of supply.

Course Language: English , Arabic

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Event URL: Event Page

Pacific Disability Statistics Regional Guidebook Design Workshop

08 May 2025 – 09 May 2025 Nadi, Fiji

Source: SPC (Data extracted on: 05 May 2025 )

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Global Grants Program (GGP) - Gender Data Analysis Workshop

06 May 2025 – 08 May 2025 Tonga

Source: SPC (Data extracted on: 05 May 2025 )

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Gender statistics

06 May 2025 – 08 May 2025 Egypt

22 Apr 2025 – 31 Jul 2025

Source: IMF (Data extracted on: 08 Dec 2025 )

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The informal economy and ways to deal with it

22 Apr 2025 – 24 Apr 2025 Egypt

Source: AITRS (Data extracted on: 08 Dec 2025 )

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Title in Arabic: الاقتصاد غير المنظم وطرق معالجته

Organizer(s): AITRS CAPMAS Egypt Arab League

Description: في العديد من البلدان، تمثل العمالة غير الرسمية والقطاع غير الرسمي جزءًا كبيرًا من الاقتصاد وسوق العمل ويلعبان دورًا رئيسيًا في الإنتاج وخلق فرص العمل وتوليد الدخل. اكتسب النقاش المتعلق باستراتيجيات إضفاء الطابع الرسمي على الاقتصاد غير الرسمي زخمًا جديدًا في جميع أنحاء العالم مما أضفى أهمية التحول من الاقتصاد غير الرسمي إلى الاقتصاد الرسمي. ولا يزال قياس وتحليل النشاط غير الرسمي يمثل تحديًا للعديد من البلدان، مما يعوق صنع السياسات لمعالجة عواقب النشاط غير الرسمي وتسهيل التحول إلى القطاع الرسمي. كما أن نقص البيانات والإحصاءات المتعلقة بالاقتصاد غير الرسمي يعني عدم أخذ مساهمته الاقتصادية بعين الاعتبار. رغـم تعـدد أسـماء الاقتصاد غير الرسـمي (الموازي، الظل، الخفي ... إلخ) والتي يأتى من ضمن مكونات الاقتصاد غير المنظور، فإنه يعد من أهم القضايــا المثيــرة للنقــاش لتداعياتهــا الســلبية علــى الاقتصاد الرســمي، ونظــرا لعالميــة هذه الظاهــرة، فقـد بـادرت الـدول المتقدمـة منـذ بدايـة سـبعينيات القــرن الماضــي بالاهتمام بدراســة مختلــف جوانــب تلـك الظاهـرة واتخـاذ كل السياسـات والتشـريعات اللازمة لدمجهــا فــي اقتصاداتهــا الرســمية، ولكــن الوضـع لـم يكـن كذلـك فـي الـدول الناميـة والدول العربية؛ حيـث إنـه مـا يـزال الاهتمام بتلـك القضيـة فـي مراحلـه الأولى منــذ تســعينيات القــرن الماضــي، ويعــزى ذلــك إلــى صعوبــة تحديــد طبيعــة مفهــوم هــذا الاقتصاد وأســبابه وآثــاره وعلاقاته التشــابكية بالاقتصاد الرســمي، فضــلا عــن عــدم توافــر بيانــات كافيــة ودقيقــة عــن معاملاته وصعوبــة تحديــد مجموعــة الأنشطة المتعلقــة بــه بشــكل واضــح. مع الأخذ في الاعتبار الطلب المتزايد من البلدان لفهم أداء الاقتصاد غير الرسمي والاقتصاد غير المنظور إحصائيا وقياسه حيث يعرف بأنه جميع الأنشطة الإنتاجية التي قد لا يتم تسجيلها في مصادر البيانات الأساسية المستخدمة في إعداد الحسابات القومية، وفي هذا الاطار ينظم المعهد العربي للتدريب والبحوث الاحصائية هذه الورشة ضمن برنامج عمله 2025-2026، بالتعاون مع ادارة الاحصاء وقواعد المعلومات في جامعة الدول العربية، والجهاز المركزي للتعبئة العامة والاحصاء – جمهورية مصر العربية.

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Event URL: Event Page

External Sector Statistics

21 Apr 2025 – 25 Apr 2025 New Delhi, India

Source: IMF (Data extracted on: 08 Dec 2025 )

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The use of statistical software in statistical analysis (STATA)

21 Apr 2025 – 24 Apr 2025

Source: AITRS (Data extracted on: 08 Dec 2025 )

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Title in Arabic: استخدام البرمجيات الاحصائية في التحليل الاحصائيSTATA

Organizer(s): AITRS

14 Apr 2025 – 09 May 2025

Source: ILO ITC (Data extracted on: 03 Dec 2024 )

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Organizer(s): ILO ILO ITC AI Generated

Description: The World of Work is continuously evolving, perhaps never more quickly than in recent years. This means that statistical standards need to evolve as well to capture the complex realities of the world of work. Informality remains a key concern of the Decent Work Agenda and the 2030 Agenda for Sustainable Development (the share of informal employment is part of the indicators selected to measure progress towards the Sustainable Development Goals, as SDG indicator 8.3.1). Addressing informality is also critical for women's economic empowerment and gender equality. The 21st International Conference for Labour Statisticians (ICLS) adopted in October 2023 A New Standard on the Informal Economy. The new standard improves the coverage, usefulness, and comparability of informality statistics and sheds light on who are those in the informal economy, working conditions and contextual vulnerabilities in the informal economy, which employs two billion people, or about 60 percent of the world's employed population1. In many countries, informal employment and the informal sector represent a significant part of the economy and labour market and plays a major role in production, employment creation and income generation. The debate concerning strategies towards formalization of the informal economy gained new momentum worldwide, after ILO's constituents adopted, at the International Labour Conference in June 2015, the Recommendation 204 (R204), the first international standard focusing exclusively on the informal economy and the strategies to adopt for the transition from the informal to the formal economy. Measuring and analysing informality remains a challenge for many countries that hinders policy-making to address the consequences of informality and facilitate transitions to formality. The lack of data and statistics on the informal economy also means that its economic contribution is not taken into account.. Bearing in mind the growing demand from countries to better understand the functioning of the informal economy and the measurement of informality, the International Training Centre of the ILO in Turin (ITCILO) in close collaboration with the ILO Department of Statistics are proud to offer the online training "Measuring informality: Introducing the new statistical standards on the Informal economy."

Target Audience: National Statistical Offices (NSOs); Ministries of Labour and related Institutions (such as labour observatories); Governmental agencies in charge of labour market data analysis and SDG national reporting; ILO Social Partners (Employers' and workers' organizations) including those representing the informal economy, Research and academic institutions; International organizations; Development agencies; in addition to Non-governmental organizations.

Course Language: English

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Event URL: Event Page

Data Management and Analysis Using R

14 Apr 2025 – 18 Apr 2025 Dodoma, Tanzania

Source: EASTC (Data extracted on: 28 Nov 2024 )

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Big data and trade law

14 Apr 2025 – 17 Apr 2025 Turin, Italy

Source: ILO ITC (Data extracted on: 03 Dec 2024 )

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Organizer(s): ILO ITC AI Generated

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.

27 Mar 2025 – 27 Mar 2025

Source: ESCAP SIAP (Data extracted on: 08 Dec 2025 )

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25 Mar 2025 – 25 Mar 2025

Source: ESCAP SIAP (Data extracted on: 08 Dec 2025 )

11 Mar 2025 – 12 Mar 2025 Thailand

Source: ESCAP (Data extracted on: 21 Feb 2025 )

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Organizer(s): ESCAP

Description: Background Better data and statistics are a key enabler for building a better world and addressing the development divide, as well as holding governments to account and improving decision and policy making. In particular, data on key development priorities that are produced with greater frequency, timeliness and granularity are in high demand. In response, National Statistical Offices (NSOs) are increasingly exploring innovative data sources, tools and methods to help address these user needs. The ESCAP Committee on Statistics therefore decided at its 7th session to “feature big data for official statistics in its future work, with an emphasis on sharing country research, experiences and good practices and facilitating capacity development” and to “strengthening legislative provisions and institutional mechanisms to enable national statistical systems to take full advantage of new and innovative technologies while respecting the Fundamental Principles of Official Statistics.” The ESCAP secretariat implements several initiatives to implement these decisions, including the capacity development project entitled the ‘2030 Data Decade - Strengthening the institutional capacity of national statistical offices in Asia and the Pacific to use innovative, new and big data sources for official statistics in support of the 2030 Agenda for Sustainable Development’ (the Big Data Project). The project is funded through the 2030 Agenda for Sustainable Development Sub-Fund of the UN Peace and Development Trust Fund. Through this project, ESCAP is providing technical assistance and related support to countries, as well as developing new knowledge products and facilitating the provision of opportunities for the sharing of achievements among countries in the region. Aims and Objectives The virtual workshop aim to bring together learnings and share experiences in the implementation and application of big data, tools and methods for official statistics from across the Asia-Pacific region. Specific areas of focus will include: Knowledge exchange: Sharing information on implementing and applying big data within official statistics, the challenges encountered and how these were overcome. Discussions will be held with audience participation encouraged. Inspiring others: Demonstrating the art of the possible; showcasing and discussing how alternative data sources can be used within official statistics. Signposting resources: Sharing the new products and tools, as well as the new learning materials and resources as outcomes of the Big Data Project. Establishing further needs: Providing ESCAP with a forum to elicit further learning needs from the Asia & Pacific region. By the end of the virtual regional workshop, participants will have a better understanding of how to overcome the technological, methodological, and human challenges that present when considering the application and implementation of big data in official statistics. Virtual Regional Workshop As the ESCAP Big Data Project draws to a close, the outcomes, challenges and lessons learned from the project workstreams will be showcased and shared across the Asia-Pacific region. A key focus will be on how NSOs have overcome the infrastructural and technological challenges to integrate and apply big data for statistical production. Participants The target audience for the virtual regional workshop is statisticians, methodologists, data analysts and managers within NSOs (or wider National Statistical System agencies) from the Asia-Pacific region. Those who participate in the 11 March session, will be interested in the application of geospatial data and small area estimation within the fields of Environment and Agriculture Statistics, Poverty Statistics, and the Sustainable Development Goals (SDGs); those who participate in the 12 March session will be interested in the use of alternative data sources for calculating Price Statistics. Participants will be invited from across the region’s Official Statistics community and will include those who attended the various Big Data Project workshop, trainings, and High-Level Seminars so that they may learn from others and continue their learning journey. There are no pre-requisites for attending the workshop and there are no limits on the numbers who may attend.

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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link

Event URL: Event Page

Measuring Skills Mismatches

10 Mar 2025 – 04 Apr 2025

Source: ILO ITC (Data extracted on: 03 Dec 2024 )

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Organizer(s): ILO ETF OECD Cedefop AI Generated

Description: The demand for data on various forms of skills mismatches has risen in recent years, in line with the prioritization of countries to ensure that effective policy measures and tools are formulated to improve the quality and relevance of skills formation. Many have stressed the importance of making better use of qualification and occupational skills as a prerequisite for better employment outcomes and employability, as well as improved labour productivity. The concept of skills mismatch, however, is broad and ambiguous. t can relate to many forms of labour market friction, including vertical mismatch, skill gaps, skill shortages, qualification mismatch, field of study (horizontal) mismatch and skill obsolescence. This may lead to misinterpretation of results. The existence of estimates based on different measurement approaches also leads to confusion. Skills mismatch is a concern for policy-makers, employers, and workers alike. It is a recurring theme in vocational education and skills development, with many policy initiatives launched to address various forms of skills mismatches. For evidence-based skills policymaking statistics on various forms of skill mismatches are needed. Building on its long experience in delivering training on skills and labour market analysis, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics, and in close coordination with the ILO Skills branch, the European Training Foundation, the Organisation for Economic Co-operation and Development, in addition to the European Centre for the Development of Vocational Training is proud to offer this four-week online training on Measuring and Analyzing Skills Mismatches.

Target Audience: The course targets: - Labour Statisticians/officials from national statistical offices; Ministries of labour and related institutions (such as labour observatories); Other Ministries or Government institutions engaged in employment, skills development, skills matching and analysis or involved in the collection and analysis of labour market information; - Employment and development policy analysts, research and academic institutes, in addition to International organizations and Donors engaged in skills matching; - Members of skills councils, national TVET authorities or similar institutions; - Representatives of workers' and employers' organisations involved in sectoral, regional or national skills development plans.

Description: Body The global trade landscape is increasingly dominated by services, spanning finance, technology, tourism, education, and beyond. As services trade becomes a key driver of economic growth, the need for accurate, timely, and comparable trade in services statistics is more critical than ever. However, many countries face persistent challenges in compiling such data due to methodological complexities, resource constraints, and evolving international standards.ObjectiveThis side event aims to showcase the Trade-in-Services Information System (TiSSTAT), developed by UNCTAD, as an innovative solution to these challenges. TiSSTAT is designed to enhance the capacity of national statistical institutions, providing them with tools to collect, compile, and disseminate trade in services data that meet international standards.Key features of TiSSTAT * Integrated Questionnaire: Simplifies data collection from various stakeholders. * Multi-User Application: Facilitates collaboration among statistical offices. * Methodology Options: Offers flexibility in adopting international standards like MSITS 2010 and IMF BPM6.Importance of services trade and data challengesServices trade contributes significantly to global GDP and employment, driving innovation and competitiveness. Yet, data gaps hinder policy-making and international negotiations. TiSSTAT addresses these gaps by ensuring accurate data collection, thus supporting evidence-based policies that enhance countries' integration into global services markets.Event highlightsParticipants will share country and international experiences, discuss the technical aspects of TiSSTAT, and engage in discussions on improving statistical capacities in this area. The event will emphasize TiSSTAT's role in: * Strengthening national statistical systems. * Enhancing data quality and comparability. * Supporting sustainable trade policies through reliable statistics.ConclusionThe side event will provide Chief Statisticians with a unique opportunity to explore how to enhance national trade in services statistics, including with TiSSTAT, to address data and quality challenges, and provide more detailed and harmonized information for more evidence-based trade policy. We look forward to an engaging session and your valuable participation.

02 Mar 2025 – 02 Mar 2025 New York, United States

Source: UNSD (Data extracted on: 21 Jan 2026 )

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Description: Body BackgroundUNCTAD’s Trade-in-Services Statistics Information System (TiSSTAT) is an integrated platform designed to streamline and standardize the collection, validation, and analysis of trade in services data. Developed to address the challenges countries face in producing accurate and harmonized trade in services statistics, TiSSTAT facilitates improved survey design, data collection, data cleaning, and reporting. By enabling a more systematic approach to data management, TiSSTAT supports policymakers in making informed decisions that enhance the competitiveness of their economies.As part of the United Nations Development Account project “Strengthening capacity for evidence-based policymaking and the economic resilience of CARICOM” and in response to requests from countries, a TiSSTAT Playground has been developed, allowing countries to explore its environment and functionalities before making a commitment to full installation. This strategic initiative aims to ensure that countries can assess the system’s relevance, benefits, and feasibility for national implementation without requiring immediate deployment.ObjectiveThe main objective of the training is to guide participating countries through the TiSSTAT Playground, enabling them to explore its functionalities and understand how it can enhance trade in services data collection. By providing hands-on experience with the system, the training aims to help countries evaluate its relevance and potential benefits for their national statistical processes, ensuring a smooth transition to full-scale implementation.As part of its phased implementation strategy, UNCTAD has developed the TiSSTAT Playground and structured online training sessions to strengthen the capacity of countries before full-scale implementation and software deployment. This approach allows countries to familiarize themselves with the system in a controlled environment, building confidence and ensuring they are well-prepared for the transition to the full version of TiSSTAT. The explorer and online training sessions are designed to gather user feedback, refine the system based on real-world experiences, and ensure a more effective and tailored rollout.By allowing countries to explore TiSSTAT in advance, UNCTAD ensures a more effective and customized implementation strategy, maximizing the impact of the full-scale deployment. This proactive approach reflects UNCTAD’s commitment to capacity building, ensuring that national statistical systems are well-prepared for the digital transformation of trade in services statistics.

Description: The launch of the Asia and the Pacific SDG Progress Report 2025: Engaging communities to close the evidence gap was held on Tuesday, 18 February 2025, from 11:00 to 12:00 hours (Bangkok time, UTC+7), at the Foreign Correspondent’s Club of Thailand (FCCT), Bangkok and online via Zoom. Presentation | Open remarks Attendance summary Press release: New UN report lauds community-driven innovations in closing SDG data gaps in Asia and the Pacific Download the full report | Highlights The SDG progress report 2025 presents the latest data and insights on progress toward the Sustainable Development Goals (SDGs) in the Asia-Pacific region. While celebrating regional achievements, it also highlights persistent challenges—such as climate change, natural disasters, and critical data gaps—that risk leaving marginalized communities behind. By showcasing innovative community-level partnerships, the report explores how local efforts can help bridge the evidence gap, ensuring that progress toward the SDGs is inclusive and leaves no one behind. Highlights video .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } Video recording of the Report Launch .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; }

17 Feb 2025 – 17 Feb 2025 New York, United States

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): UNCTAD

Description: Body In 2022, the UN Statistical Commission adopted a new SDG indicator 17.3.1, and welcomed the development of an initial Conceptual Framework for the Measurement of South-South Cooperation.It is the first ever Framework developed and agreed upon by the countries of the global South for this specific purpose and enables the reporting of South-South data for SDGs, alongside long-established data on North-South development support flows.The Commission asked the UN Trade and Development (UNCTAD) to test the Framework, provide capacity building support and enable the reporting of data globally. Now a Manual has been developed with pioneering countries, and first data are reported.South-South cooperation is increasingly important in advancing progress towards the 2030 Agenda, alongside other development support. But lack of data has kept its contribution largely invisible, making it difficult to manage the flows as a strategic resource.Now over 60 countries have requested UNCTAD's support to start reporting South-South data.Questions to be addressed: * How can national statistical offices help support the pooling of data from many agencies involved in South-South cooperation projects. * How to organize country-led global work to refine common methods and develop tools. * How to support one another in data reporting to amplify the voices of the South in global debates.Speakers: * Anu Peltola, Director, UNCTAD Statistics Service * Wafa Aboul Hosn, Chief, ESCWA Statistics * Dima Al-Khatib, Director of UN Office for South-South Cooperation * Marcio Correa, Development Cooperation Agency ABC, Brazil * André de Mello e Souza, Institute of Inclusive Development Policies IPEA, Brazil * Anne Ibrahim, National Bureau of Statistics, Nigeria

03 Feb 2025 – 07 Feb 2025 Geneva, Switzerland

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): UNCTAD Open Society Foundation

Description: Body UNCTAD's Division for Africa, Least Developed Countries and Special Programmes (ALDC) in partnership with UNCTAD Statistics Service, works jointly with African countries to develop and implement effective policies to tackle illicit financial flows (IFFs) based on robust measurements and evidence of the most harmful IFFs in each country, and enable the focus of countries to increase their fiscal space for sustainable development. UNCTAD strives for consensus-building, cutting edge thinking to support African countries to build their institutional capacity to understand IFFs better, and address more effectively their sustainable development financing needs.In this regard, UNCTAD is coordinating a joint measurement workshop and policy expert group meeting with the main objective of looking at policy options that can be implemented to curb IFFs and strengthen domestic resource mobilization for African countries based on nationally compiled IFF statistics.The meeting is organized in two parts: the measurement workshop will be held on Monday, 3 February and Tuesday, 4 February (morning) and is open to countries’ representatives of the project, while the afternoon will include other invited participants to discuss general measurement concepts. The policy workshop will be held from Wednesday, 5 February to Friday, 7 February and is open to all participants.The main aim of the joint measurement workshop and the expert group meeting will be threefold: * Discuss applied methodologies to measure tax and commercial IFFs, share results and lessons learnt. * Develop a suitable framework for identifying policies in a standard format for African countries but reflecting national priorities. * Ascertain the framework through an expert-led review.

Description: The session comprised two segments: the high-level segment, on 11 December, and the senior officials segment, on 12 and 13 December. During the high-level segment, representatives of member States discussed the progress made in implementing the Declaration on Navigating Policy with Data to Leave No One Behind, which had been endorsed by the Commission in its resolution 75/9. They also reflected on priority actions that require resources, initiative, engagement or other investment by Governments, as well as participation by the whole of society, to put the region fully on track to achieve the 2030 Agenda for Sustainable Development. The senior officials segment included dialogues on building agile statistical systems that are fit for the future as an emerging priority issue for the region and discussed the progress made in implementing the decisions taken by the Committee at its eighth session. The ninth session of the Committee on Statistics was held in conjunction with the twentieth session of the Governing Council of the Statistical Institute for Asia and the Pacific. Both events were part of the Asia-Pacific Statistics Week 2024, held, under the theme “The power of data”, in Bangkok from 9 to 13 December. Various expert group meetings and side events, including the Institute’s nineteenth management seminar for heads of national statistical offices, were held to complement and enrich the discussions at the Committee and Governing Council sessions. .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } Report: 中文 | English | Français | Русский(ESCAP/CST(9)/6) Webcast links: Committee on Statistics, 9th session 11 Dec. 2024 09:00-12:00 (WebTV | Youtube: Floor | CHN | ENG | FRA | RUS) 14:15-17:15 (WebTV | Youtube: Floor | CHN | ENG | FRA | RUS) 12 Dec. 2024 09:00-12:00 (WebTV | Youtube: Floor | CHN | ENG | FRA | RUS) 13 Dec. 2024 14:15-17:15 (WebTV | Youtube: Floor | CHN | ENG | FRA | RUS) , CST9 Vox Pop Interview , .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } Ms. Rajasurang (Prim) Wongkrasaemongkol, Youth Advocate and an AI Engineer on "Engaging external stakeholders in Thailand" .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } Ms. Rajasurang (Prim) Wongkrasaemongkol, Youth Advocate and an AI Engineer on "Speed up progress in strengthening statistical systems in Thailand" .embed-container { position: relative; padding-bottom: 50%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } H.E. Mr. Ali Haidar Ahmed, Minister of Housing, Land and Urban Development, Maldives on "Accurate and timely production of vital statistics in Maldives""

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Event URL: Event Page

Additional Urls:

https://sdd.spc.int/events/2024/12/9th-session-escap-committee-statistics

CST9 Side event: Unlocking the Power of Civil Registration Data for Effective Governance

11 Dec 2024 – 11 Dec 2024 Bangkok, Thailand

Source: ESCAP (Data extracted on: 08 Dec 2025 )

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Organizer(s): ESCAP

Description: Better nationalregionaland global development policies underscored the need for resilient and trusted public data systems in evidence-based policymaking. Building back better from the pandemic and other crisesmany public statistical systems need to develop adequate capacities to cope with these new and rising data demands and coordinate strategically across the new data ecosystemFirstlydata producers need to coordinate efficiently to close data gaps at national level. Smart planningmonitoring and evaluationand service delivery measures require highly disaggregated data. Yetfor low and middle-income countrieslimited statistical capacity threaten response and future resilience. For instanceadministrative data systems including sectoral and local data are often inefficiently coordinated. Secondlyentering a decade of actiongovernments need to align globalregional and national policy objectives. This in turnrequires an in-depth mapping of data availability vis-à-vis data requirements. The heightened demand for data to monitor progress and inform policy and development choices necessitate a comprehensive data assessment and mapping at national levelwhich support better alignment of the national strategy for the development of statistics (NSDS) to data demand.Thirdlystatistical offices need to improve coordination with national and international partners to attract funding efficiently. Prioritisation and increased coordination of statistical activitiesfor instance through a national strategy for the development of statisticscan be conducive to attract more domestic funding as well as external resources. At the same timethere is ample scope to strengthen coordination between and among development cooperation partners and partner countries and promote south-south cooperation to make the status quo of funding for statistics more cost-efficient. The Partnership in Statistics for Development in the 21st Century (PARIS21) in collaboration with the Statistical Institute for Asia and the Pacific (SIAP) developed a unique training course for NSSNSO leaders and national planning senior managers to improve strategic planning for data and statistics developmentusing innovative tools and methods. The course will give a thorough introduction to the NSDS design process. In additionthis course will feature special topics on gender statisticsclimate change datachildren data as well as communications around the NSDS.

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CSO consultations on CRVS in Cambodia

03 Dec 2024 – 03 Dec 2024 Cambodia

Source: ESCAP (Data extracted on: 08 Dec 2025 )

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2024 Labour Market Statistics & Analysis Academy

02 Dec 2024 – 13 Dec 2024 Turin, Italy

Source: ILO ITC (Data extracted on: 11 Dec 2023 )

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Organizer(s): ILO ITC ILO

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.

27 Nov 2024 – 28 Nov 2024 Lima, Peru

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): SELA APCI Peru PGTF Peru

Description: Body The XXXII meeting of directors of international cooperation agencies of countries in Latin America and the Caribbean is organised by the Latin American and Caribbean Economic System (SELA) jointly with the Government of the Republic of Peru, through the Peruvian Agency for International Cooperation (APCI), the Ministry of Foreign Affairs of Peru and the support of the Perez-Guerrero Trust Fund (PGTF) of the Group of 77. It is held in Lima, Peru, from 27 to 28 November 2024.The event aims at deepening the actions undertaken by SELA to support South-South and Triangular Cooperation by strengthening regional institutions with competence in this area, systematize the experiences of Latin American and Caribbean countries in the process of sharing and standardizing methodologies to measure cooperation at the regional level, and increase knowledge about the approaches formulated to learn about the progress made and the methods applied by the countries.The objective is to contribute to the development of systems that are as homogeneous as possible to ascertain the real scope of South-South and Triangular Cooperation (SSTC), as a contribution to the promotion of mechanisms to systematise information on SSTC by fostering the use and application of technological platforms for the exchange of information.UNCTAD will share information on measuring South-South cooperation within the UN system and its reporting on SDG indicator 17.3.1, and presents the “Manual for the Framework to measure South-South Cooperation”, a country led-process lead by pioneering countries and supported by UNCTAD. The Manual is a step by step guidance for countries part of the UN DA15 ongoing project on quantifying SSC to mobilize funds for the Sustainable Development Goals, and any other interested countries who wish to measure SSC.

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Organizer(s): ESCAP

Description: The Asia-Pacific Stats Café on "Countdown to Asia-Pacific Statistics Week" was held on Monday, 12 November 2024, from 13:00 to14:30 hrs (Bangkok time; UTC +7) About this Session With Asia-Pacific Statistics Week approaching, preparation is vital to ensure we get the most impact from the week of events. The ninth session of the Committee on Statistics of the Economic and Social Commission for Asia and the Pacific (ESCAP) will take place from 11 to 13 December as part of Asia-Pacific Statistics Week, which will be held under the theme "Power of Data" from 9 to 13 December 2024 in Bangkok. This Stats Café session will introduce the different events and segments of the week and is designed to help participants prepare for their effective participation. The week will start on Monday, 9 December, with the twentieth session of the Governing Council of the Statistical Institute for Asia and the Pacific (SIAP), which will consider the Director's report on SIAP’s achievements in 2024, as well as the evaluation and the strategic plan for the period 2025–2029. On Tuesday, 10 December, the nineteenth management seminar for heads of national statistical offices will be held, which will complement discussions at the Committee and Governing Council sessions. The ninth session of the Committee on Statistics of the Economic and Social Commission for Asia and the Pacific (ESCAP) will take place from 11 to 13 December 2024. The Committee session will feature a high-level segment for member States to assess progress on the Declaration on Navigating Policy with Data to Leave No One Behind and identify priority actions that require resources, initiative, engagement or other investment by Governments, as well as participation by the whole of society, to put the region fully on track to achieve the 2030 Agenda for Sustainable Development. The senior officials' segment will focus on developing agile statistical systems and review progress on decisions from the eighth session. Additionally, UN entities and other international organizations and interested stakeholders can showcase their work related to the "Power of Data" theme through lightning talks or exhibitions. Related links: Committee on Statistics, Ninth Session UNSIAP , Stats Café Home: Upcoming events Concluded events

08 Oct 2024 – 08 Oct 2024

Source: UNSD (Data extracted on: 02 Dec 2024 )

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Organizer(s): UNSD AI Generated

Description: The Global Network Webinar on "Unlocking the Power of Large Language Models for Official Statistics: Opportunities, Challenges, and Practical Uses", hosted by the Global Network of Data Officers and Statisticians on 8 October and presented by Amilina Kipkeeva from the UN Economic Commission for Europe (UNECE), provided a comprehensive overview of the growing impact of Large Language Models (LLMs) like ChatGPT and Claude within the official statistics community. The webinar highlighted the significant opportunities LLMs offer to boost productivity and improve user experience, as well as the challenges related to privacy, accuracy, and ethical considerations that require careful attention. The event covered key topics such as the fundamentals of LLMs, their potential applications in various stages of statistical production (from survey design to data dissemination), and the risks and mitigation strategies identified in a recent white paper by the High-Level Group for the Modernisation of Official Statistics (HLG-MOS). Amilina also shared insights from a survey conducted by UNECE on the adoption of generative AI in official statistics, which revealed a broad agreement on the technology's potential impact, as well as the need for formal policies and staff training to address concerns around data security, privacy, and ethical use. The webinar highlighted several compelling use cases, including the Bank of International Settlements' AI-powered metadata editing tools, the Australian Bureau of Statistics' successful application of LLMs for occupation code updates, and the efforts of Statistics Canada and Deutsche Bundesbank in leveraging LLMs for report generation and content creation. The presentation emphasized the importance of international collaboration and knowledge sharing as the official statistics community navigates this rapidly evolving landscape. During the Q&A session, participants raised questions about the development of policies and governance frameworks to guide the responsible use of LLMs, as well as the potential for these technologies to address challenges around human resource gaps in statistical organizations, particularly in developing countries. The discussion also touched on the distinction between internal and external use of LLMs, and the importance of ensuring the accuracy and reliability of LLM-generated outputs when engaging with the public.

Course Language: English

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Event URL: Event Page

SDMX - Statistical Data and Metadata eXchange

07 Oct 2024 – 18 Oct 2024

Source: ILO ITC (Data extracted on: 30 May 2024 )

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Organizer(s): ILO ITC

Description: Background: Statistical data exchanges often take place in an ad-hoc manner, using all kinds of formats and non-standard concepts, hence the need for common standards, guidelines and tools to enable more efficient processes for exchanging and sharing statistical data and metadata. SDMX (Statistical Data and Metadata eXchange) is an international initiative that aims to standardize and modernize ("industrialize") the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. The standard has evolved in recent times, going beyond straightforward data exchange and now enabling more efficient and reliable data storage and dissemination. SDMX is a business choice (as opposed to a technical choice), improving the quality of statistical data-processing and exchange through standardization, automation, validation and data-sharing. SDMX is a standard (indeed an ISO standard, 17369:2013) designed to describe statistical data and metadata, normalize their exchange and enable them to be shared more efficiently among organizations. To meet these three requirements, SDMX has three key components: 1. Technical standards (including the Information Model); 2. Statistical guidelines; 3. An IT architecture and tools. SDMX is therefore much more than a mere data-transmission format. All labour market information (LMI) systems implemented with the assistance of the ILO are based on and make intensive use of SDMX. The objective of the course is to enable participants to understand the scope, architecture and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata. This will enable the to: - Assess how to take advantage of SDMX in their day-to-day work; - Understand DSDs and MSDs, and how they reflect requirements for data and metadata exchange; - Work together (statisticians and IT specialists within an organization) in planning for SDMX in their domain; - Learn how to model data in using SDMX for data-exchange, storage and/or dissemination; - Understand the relationship between SDMX and the production of statistics; - Understand the different roles of organizations in the collection and production of statistics and their relationship with SDMX; - Understand (in broad terms) the different tools available in the marke, and the architecture that can be developed; - Understand how SDMX enables data harmonization across a system.

Target Audience: National statistical offices (NSOs); IT specialists; Ministries of labour and related Institutions (such as labour observatories); Governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); Research and academic institutions; International organizations; Development agencies; Non-governmental organizations; etc.

01 Oct 2024 – 01 Oct 2024 Montreal, Canada

Source: UNSD (Data extracted on: 21 Jan 2026 )

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23 Sep 2024 – 25 Oct 2024

Source: ILO ITC (Data extracted on: 30 Jul 2024 )

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Organizer(s): ILO ITC

Description: Unpaid care work refers to work - performed without expectation of pay or profit - that is oriented to meeting people's physical, psychological, cognitive, and emotional needs. It sustains individual health and wellbeing and is essential to the functioning of societies everywhere . Most unpaid care work occurs as own use provision of services (also termed unpaid domestic and care work). It is intra-household and/or intra-familial, undertaken by and for members of the same household or by and for relatives living elsewhere. Not all unpaid care work takes place within household or kin networks. It is also routinely provided within wider communities or networks, via direct- or organisation-based volunteering. In recent years, the measurement of unpaid care work has been accorded new priority in official statistics . This has occurred as part of a wider revitalisation of interest in the topic in national and international policy circles. There is growing acknowledgement of the economic contribution of unpaid care work, which, based on conservative estimates, would amount to nine per cent of global GDP were it accorded monetary value . Similarly, there is growing recognition of the untenability of a status quo whereby, globally, women and girls contribute over three quarters (76.2 per cent) of the total hours spent daily on unpaid care work, to the detriment of labour force participation, access to formal employment and decent work, and involvement in the wider public sphere. Since 2015, the Sustainable Development Goals (SDGs) have mandated countries to produce statistics on the "proportion of time spent on unpaid domestic and care work, by sex, age and location" (SDG indicator 5.4.1), while also recognising a central role for volunteer work in the realisation of the wider 2030 Sustainable Development Agenda . Nationally, data on unpaid care work has relevance for a wide range of public policy areas, especially when collected alongside data on labour force participation and employment. Such data provide for a much fuller treatment of gender-based differences and inequities. They permit a fuller analysis of the contribution of unpaid work to national economies, alongside improved monitoring of transitions in the social organization of care work, from unpaid- to market-based provision (or vice versa). Current international standards for labour statistics provide a strong conceptual framework for the measurement of unpaid care work, and volunteer work more broadly , in labour force surveys. This course will explain and operationalise the current guidelines for the measurement of unpaid care work and volunteer work, and will demonstrate available methods, tools, and practical resources. The ILO Department of Statistics, in collaboration with the ITCILO, is proud to offer the first edition of the online course "Measuring Unpaid Care Work & Volunteering in Labour Force Surveys".

Target Audience: Statisticians from national statistical offices; Ministries of labour and other institutions involved in production of work, social, and gender statistics; - Governmental agencies responsible for developing and implementing policies addressing unpaid care work/volunteer work, labour-market data analysis and national SDG reporting; ILO Social Partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations. - Employment and development policy analysts from National Statistical Offices, Research and Academic institutions, International organizations and Donor organizations.

Course Language: English

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Event URL: Event Page

Tracer Studies: measuring impact of vocational training

23 Sep 2024 – 18 Oct 2024

Source: ILO ITC (Data extracted on: 30 Jul 2024 )

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Organizer(s): ILO ILO ITC AI Generated

Description: The ITCILO and ILO's Employment Department, Skills and Employability Branch join forces to bring learners a course on "Tracer Studies" to measure impact of vocational training. Tracer studies or graduate surveys are standardised surveys of graduates from education institutions, which take place some time after graduation or at the end of a training. Tracer studies commonly s topics include questions on study progress, the transition to work, work entrance, job career, use of learned competencies, current occupation and bonds to the education institution (school, centre, university). Tracer studies are common in higher education, but are becoming more and more popular in technical and vocational education and training (TVET). Reforms and programmes seeking improvement of TVET systems (you can check our website for the upcoming course on Skills anticipation and matching) try to respond to labour market needs and contribute to overcoming skills mismatch, and support the transition from school to work; to achieve these objectives, TVET institutions need data from tracer studies to measure their effectiveness and the impact they have generated.

Description: The Asia-Pacific Stats Café on "Asia and the Pacific Regional Trends on Forced Displacement and Statelessness" was held on Monday, 9 September 2024, from 11:00 to 12:15 hrs (UTC+7). Concept note Flyer Presentations UNHCR: Asia-Pacific Regional Trends Report 2023 Population and Housing Census in Thailand: The Analysis of Stateless Persons National Statistical Office Presented Indonesia's experience in Population Data collection from Census and Survey UNHCR RBAP, in collaboration with ESCAP, organized this Stats Café to: Highlight the trends in forced displacement and statelessness in Asia and the Pacific in 2023. Share Thailand's experience in including stateless people in the CRVS system and census. Share Indonesia's experience in including refugees, IDPs, and stateless people in the national survey. Please find the following methodology papers which provided more detailed guidelines on statistical inclusion of forcibly displaced and stateless people in national systems: EGRISS Methodological Paper 1 on standardized refugee and IDP identification questions in surveys. Including refugees or IDPs in a population census. Including refugees in a sample survey of the national population, or running a stand-alone survey of refugees. Including IDPs in a sample survey of the national population, or running a stand-alone survey of IDPs. First issue of the EGRISS Methodological Paper Series. The collection of documents is intended as the Expert Group's input to ongoing methodological debates. , Stats Café Home: Upcoming events Concluded events

Description: This course, presented by the Statistics Department, introduces the fundamentals of compiling monetary statistics, with special attention to other financial corporations (OFCs). It also gives an overview of financial statistics and national accounts. The course material is based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). Although the course summarizes the main principles underlying the compilation of monetary statistics, it assumes participants already understand these principles (e.g., having participated in the MFS-I course). The core of the course deals with characteristics of various OFCs (insurance corporations, pension funds, non-MMF investment funds, etc.), their typical balance sheet structure, and their role in the financial sector. The course also covers some aspects of financial statistics, dealing with financial flows and stocks of all sectors of the domestic economy and their interactions with the rest of the world; the balance sheet approach to vulnerability analysis; and the relationships between monetary, balance of payments, government finance, and national accounts statistics. The course consists of lectures and case studies to familiarize participants with practical aspects of compiling monetary statistics for OFCs and the basic principles underlying the compilation of national accounts. At the end of the course, participants are expected to make a short presentation on monetary statistics compilation issues in their own countries.

Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.

Course Language: English

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Event URL: Event Page

Asia-Pacific Stats Café Series: Completing the Questionnaire for the 2025 Review of Progress in Implementing the Regional Action Framework on CRVS in Asia and the Pacific (Second session)

02 Sep 2024 – 02 Sep 2024

Source: ESCAP (Data extracted on: 08 Dec 2025 )

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Organizer(s): ESCAP AI Generated

28 Aug 2024 – 28 Aug 2024

Source: ESCAP (Data extracted on: 19 Jan 2026 )

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Organizer(s): ESCAP UNDP UNODC OHCHR AI Generated

Description: The Asia-Pacific Stats Café on "Governance Statistics – New Solutions and Approaches to Address the Information Gap" was held on Wednesday, 28 August 2024, from 14:00 to 15:00 hr (UTC+7). Concept note Flyer PowerPoint presentations Governance statistics to monitor SDG 16, including through the SDG 16 Survey Praia Group on Governance Statistics About the session This session aimed to provide updated information, guidance and tools for NSOs and statisticians to address data gaps in reporting on the SDG 16 survey-based indicators and to strengthen official statistical production on participation in political and public affairs and on non-discrimination and equality. Seven years after the adoption of the 2030 Agenda for Sustainable Development, the Asia Pacific region faces considerable challenges in monitoring targets for Sustainable Development Goal (SDG) 16 (“Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels”.) Many countries in the region have prioritized SDG 16 in their national development priorities, recognizing the importance of addressing peace, justice and inclusion as part of sustainable development. However, reporting progress on SDG 16 indicators has been a challenge. ESCAP’s 2024 SDG Progress Report notes that SDG 5 on Gender equality and SDG 16 continue to be the goals with the least available data and for SDG 16 there is no data for nearly 60% of the indicators and only 23% of the indicators have sufficient data. The SDG16 Survey Initiative jointly developed by UNDP, UNODC, and OHCHR, and approved by the United Nations Statistical Commission provides a high-quality, well-tested tool that countries can use to measure progress on many of the survey-based indicators under SDG16. The SDG16 Survey is primarily for countries that are not yet producing SDG 16 indicators in line with relevant SDG metadata and was created to translate the approved metadata for survey-based SDG 16 indicators into a consolidated survey instrument. The tool is made available to national statistical systems, which might want to use it according to their needs and priorities, either as a standalone survey, to collect data on all the indicators in one single operation, or as separate modules to be inserted in other household surveys. The Survey focuses on eight domains, namely: Access to Justice – Access to Dispute Resolution Mechanisms; Access to Justice – Violence Reporting; Corruption; Discrimination; Harassment; Physical Violence; Psychological Violence; Satisfaction with Public Services; Sexual Violence; and Trafficking in Persons. Meanwhile, the Praia City Group on Governance Statistics continues to work towards the establishment of global standards for measuring key areas of governance statistics, building on the Handbook on Governance Statistics which was endorsed by the UN Statistical Commission in 2020. With the landmark adoption in 2023 of an updated Classification of Statistical Activities (CSA 2.0) which includes Governance as a new domain of official statistics, the need for such standards and internationally agreed methods for compiling statistics on various sub-domains of governance has become even more pressing. This session informed about the ongoing work of two Task Teams of the Praia Group which were developing short survey modules to enable the production of globally comparable official statistics on Non-Discrimination and Equality and on Participation in Political and Public Affairs. In 2024, twelve NSOs across the world will be field-testing or piloting the draft modules, and eight more have committed to doing so in 2025. To date, however, no NSO in the Asia-Pacific region has indicated interest in testing the modules. The Praia Group Task Teams are keen to engage with NSOs of the region to discuss the relevance of these modules in the Asia-Pacific context, and the possibility of testing them, independently or as part of a larger survey already planned for 2024 or 2025. It is of paramount importance for NSOs from all regions and all development contexts to participate in this critical testing phase, to validate the applicability of the modules across diverse socio-cultural and political settings. , Stats Café Home: Upcoming events Concluded events

05 Aug 2024 – 09 Aug 2024 Vienna, Austria

Source: IMF (Data extracted on: 08 Dec 2025 )

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Organizer(s): IMF

Description: This course, presented by the Statistics Department, acquaints participants with the fundamentals of compiling and using FSIs in support of macroprudential analysis. The course covers methodological and technical issues in the construction of FSIs, as discussed in the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide). The course takes an interactive approach using hands-on exercises in discussing the main topics as follows: Preparation of the sectoral financial statements and compilation of FSIs for deposit takers; Regulatory framework for deposit takers; Accounting principles and data consolidation for the compilation of FSIs for deposit takers; and Overview of key points and changes in the 2019 FSI Guide. Asynchronous Component — July 1–15, 2024 This component will comprise five modules and will focus on the conceptual issues that will be performed by the participants after each synchronous part. The asynchronous component will be supplemented with assigned readings and references. These modules will be made available to the participants at least five days before the start of the synchronous classes.Participants will be required to take a pre-course quiz. Successful completion (i.e., a passing grade) will not be a pre-requisite for participating in the synchronous component. The results of the quiz will be only used by the instructors to determine the knowledge of the participants. Synchronous Component — August 5–9, 2024 The synchronous component will focus on the practical compilation of issues and topics that may require greater instructor input and feedback. It will comprise lectures, question and answer sessions and practical workshop exercises. The lectures will be developed using existing lecture presentations and the scripts that were prepared for the online course. The lectures will be presented in 30 minutes to 45-minute slots. Each presentation will be followed by a brief exercise or question-answer session. Participants will be invited to present case studies of practical problems or proposed solutions to practical problems. These issues could be related to source data or compilation. Participants will also be invited to respond to some practice questions in discussion forums. This will be followed by a workshop where the responses to these questions will be discussed, along with the correct answers.

Target Audience: Officials at central banks and supervisory agencies for the financial sector who are involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).

15 Jul 2024 – 19 Jul 2024 Turin, Italy

Source: ILO ITC (Data extracted on: 11 Dec 2023 )

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Organizer(s): ILO ITC ILO

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.

Description: Body South-South cooperation flows: insights from methodological developments and existing country quantificationIn a time marked by rapid change and compounding challenges, the global landscape of international development cooperation is undergoing a transformative shift, especially as the world surpasses the halfway mark to achieving the sustainable development goals (SDGs) by 2030. South-South cooperation can play an essential role, alongside other development support, in enhancing development efforts and results through mutual sharing of good practices, pooling resources, and exchanging know-how between countries of the global South.Thanks to the joint efforts of the Global South, for the first time, there is now a global, voluntary Conceptual Framework to measure South-South Cooperation. In the session countries will share their experience in measuring South-South cooperation for strategic management of international cooperation flows to advance sustainable development in the global South.The session will share recent conceptual and methodological developments in quantifying South-South cooperation flows. Pioneering countries will show how better data can support more efficient policy measures and contribute to global efforts in reaching sustainable development for all.Speakers * Anu Peltola (Moderator)Director of Statistics, UN Trade and Development * Hend Abdalrahman Al-MuftahPermanent Representative, Permanent Mission of Qatar to the UN * Pedro Manuel MorenoDeputy Secretary-General, UNCTAD * Dima Al-KhatibDirector , United Nations Office for South-South Cooperation * Na JiangDirector General of the Department of Policy and Planning, China International Development Cooperation Agency * Lina Marcela Puentes GruesoCoordinator in South-South and Triangular Cooperation, Directorate of International Cooperation, Ministry of Foreign Affairs of Colombia

Course Language: English , French , Chinese

Topics:

Description: This course, presented by Statistics Department, is based on the conceptual framework of the 2008 System of National Accounts (2008 SNA). It covers advanced methodological and practical issues related to the compilation of the sequence of accounts of the SNA (current and capital accounts, financial accounts, other changes in volume of assets accounts, revaluation accounts, and balance sheets) by institutional sectors. The course also examines the linkages between institutional sectors as a basis for establishing from-whom-to-whom accounts. The aim of the course is to provide participants with the necessary skills to compile—or further enhance—their country’s institutional sector accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues, workshops sessions on practical compilation issues, discussions on emerging financial issues such as fintech and crypto assets. It reviews case studies involving new applications of ISA such as household distributions to examine income, consumption and wealth accumulation by various cohorts and intergenerational transfers and pensions. The myriad ways in which the ISA supports economic policy is also examined. The lectures provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral institutional sector accounts and balance sheets, examine potential data sources for the compilation of annual and quarterly ISA, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral institutional accounts and balance sheets.

Target Audience: Officials whose main responsibility is compiling national accounts, including financial accounts statistics and balance of payments statistics (specifically responsible for the sectoral accounts, household distribution accounts and accounts on a from-whom-to-whom basis), who are employed by national statistical agencies and central banks.

Course Language: English

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Event URL: Event Page

Government Finance and Public Sector Debt Statistics (GFS-PDS)

17 Jun 2024 – 28 Jun 2024 Ebene, Mauritius

Source: IMF (Data extracted on: 31 May 2024 )

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Organizer(s): IMF

Description: This course, presented by the Statistics Department, introduces the conceptual frameworks and practical aspects to build prerequisite knowledge for the compilation of government finance and public sector debt statistics that are useful for policy- and decision-makers, as well as other users. The course material is based on the Government Finance Statistical Manual 2014 (GFSM 2014) and the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011) - which both are harmonized with other macroeconomic statistical frameworks. The course covers fundamental principles, definitions, and classifications, accounting rules (including accrual accounting and consolidation), balance sheets and public sector debt instruments, and the sources and methods relevant to the compilation of fiscal and debt statistics. It also deals with the data dissemination and highlight its importance in fiscal analysis and debt sustainability analyses (DSA). Additionally, it covers the data dissemination and highlight its importance in debt sustainability analyses (DSA) and fiscal analysis. Case studies, online self-paced blended learning, in-person lectures, and peer-to-peer learning are incorporated into the curriculum to familiarize participants with the practical aspects of compiling government finance and public sector debt statistics. As eligibility requirements, selected applicants are required to complete self-paced online tutorials and prepare short presentation on chosen topics relating to the compilation of government finance and public debt statistics in their respective countries.

Target Audience: Officials at ministries of finance, central banks and other agencies in charge of compiling government finance statistics and public debt statistics.

Course Language: English

Topics:

Event URL: Event Page

Labour Market Information Systems

17 Jun 2024 – 21 Jun 2024 Turin, Italy

Source: ILO ITC (Data extracted on: 11 Dec 2023 )

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Organizer(s): ILO ITC ILO

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)".

Organizer(s): ESCWA AITRS

Description: تُعدّ البيانات عنصرًا هامًا لاتخاذ القرارات ورسم السياسات السليمة ويلعب علم البيانات دورًا رئيسيًا في تحليل هذه البيانات واستخلاص المعلومات منها، بينما يُساهم الإحصاء الرسمي في ضمان جودة البيانات وسلامتها. وتهدف هذه الدورة التدريبية عن بعد إلى تعريف المشاركين بمفاهيم منهجية علم البيانات في الإحصاء الرسمي، وتزويدهم بالمهارات اللازمة لتطبيقها في مختلف مجالات العمل الاحصائي. تأتي هذه الورشة في سياق الاهتمام الإقليمي والدولي بتطوير القدرات الإحصائية وذلك من خلال المقترح الذي أيدته لجنة الإحصاءات التابعة للأمم المتحدة المعد من اللجنة الاستشارية للخبراء عن البيانات الضخمة وعلوم البيانات للإحصاءات الرسمية لإدماج البيانات الضخمة وعلوم البيانات في العمل اليومي لمكاتب الإحصاء الوطنية، وإنشاء شبكة من قادة علوم البيانات في هذه المكاتب. بالإضافة إلى ذلك، تأتي هذه الورشة بعد ورشة عمل إقليمية ناجحة حول موضوع البيانات الضخمة في الإحصاء الرسمي، التي نظمتها الاسكوا بالتعاون مع المعهد العربي للتدريب والبحوث الاحصائية. تهدف الورشة بالأساس الى تعزيز قدرات المشاركين في مجال الإحصاء الرسمي باستخدام أساليب علم البيانات وذلك من خلال: * تعريف المشاركين بمفاهيم أساسية في علم البيانات والإحصاء الرسمي. * شرح منهجية علم البيانات في الإحصاء الرسمي. * إكساب المشاركين مهارات تحليل البيانات واستخلاص المعلومات منها. * تمكين المشاركين من تطبيق مهارات علم البيانات في الإحصاء الرسمي من خلال حالات احصائية عملية.

Topics:

Event URL: Event Page

STATA for Labour Market Analysis

10 Jun 2024 – 05 Jul 2024

Source: ILO ITC (Data extracted on: 11 Dec 2023 )

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Organizer(s): ILO ITC ILO

Description: The demand for analyzing labour market data has risen, in line with the prioritization of countries to better understand the functioning of the labour market and the impact of policies and programmes on outcomes, including unemployment and employment. The adoption of the 2030 Agenda for Sustainable Development requires governments and other stakeholders to monitor progress towards the defined goals and targets, including SDG 8 on Decent Work and Economic Growth. At the same time, new measures of the labour market are evolving through the adoption of statistical standards by the International Conference of Labour Statisticians (ICLS). The 19th and 20th ICLS resolutions on work statistics are crucial for decent work related SDG indicators, particularly SDG 8 on promoting inclusive and sustainable growth, employment and decent work for all. The analysis of labour market data relies on the availability of data, which has expanded in recent years, and the use of appropriate methodologies to identify key factors and trends relevant to evidence-based policymaking. In this regard, analysts and statisticians depend on statistical software that provides a user-friendly approach to data management, description, graphics and analysis. STATA is such a tool, which is powerful but easy-to-use, and is utilized across the world for analysing labour market data. Building on its long experience in delivering training on labour market statistics, the International Training Centre of the ILO in full collaboration with the ILO Department of Statistics is proud to offer this online training on using STATA for labour market analysis. Harnessing the latest ground-breaking distance learning technologies, the ITCILO is proudly offering this course online in full collaboration with the ILO Department of Statistics. - This course qualifies for the Labour Market Statistics & Analysis Diploma.

Course Language: English

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Event URL: Event Page

Informing Climate Change and Sustainable Development policies with integrated data

10 Jun 2024 – 14 Jun 2024 Bilbao, Spain

Source: UNSD (Data extracted on: 21 Feb 2025 )

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Organizer(s): UNSD Basque Centre for Climate Change INE Spain Gobierno Vasco Spain Ministry of External Affairs, EU and Cooperation Spain Instituto Vasco de Estadística Spain Excelencia María de Maeztu Spain

Description: As the world grapples with numerous global challenges, including environmental issues, climate change, health crises, food insecurity, economic recovery, and human displacement, the need for knowledge integration has never been more critical. Amid a data landscape with fast-increasing volumes of data, information remains compartmentalised to pre-defined scales and fields, rarely building its way up to collective knowledge. The statistical community, the data science community, the geospatial community and the modelling community are tasked with delivering this integrated knowledge, to shed light on the ongoing “wicked problems”—intertwined, multistakeholder and with potential solutions dependent on subjective, competing interests. The purpose of the conference is to address and share knowledge on these emerging issues that require the timely and flexible production of integrated scientific, statistical and geospatial information. This involves collaboration with strategic partners from the public and private sectors, as well as from academic and research institutes, and needs a paradigm shift that will favour open synthesis to contribute and reuse knowledge and apply it toward decision making. The conference will consist of a ministerial opening, high-level panels, technical sessions as well as a several workshops. The overall theme of the conference is “Informing Climate Change and Sustainable Development policies with integrated data”.

Topics:

Event URL: Event Page

Additional Urls:

https://seea.un.org/events/informing-climate-change-and-sustainable-development-policies-integrated-data

https://www.fao.org/statistics/events/events-detail/fao-at-the-8th-international-conference-on-big-data-and-data-science-for-official-statistics/en

International methodologies in the preparation and dissemination of metadata

10 Jun 2024 – 12 Jun 2024

Source: AITRS (Data extracted on: 27 Nov 2024 )

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Title in Arabic: المنهجيات الدولية في اعداد ونشر البيانات الوصفية

Organizer(s): AITRS

Description: Statistics Portugal and Eurostat are pleased to invite you to the 11th European Conference on Quality in Official Statistics (Q2024) in Estoril (the Greater Lisbon region) from 4 to 7 June 2024. ‍ Following a longstanding quality-driven tradition in the European statistical community, this conference will gather statisticians, academics, and external stakeholders to foster the dissemination of knowledge and research on emerging issues related to quality in official statistics. By bringing diverse stakeholders together, Q2024 aims to enhance and improve cooperation between official statistics and the scientific community — in which students play a significant role — and to promote closer dialogue between users and producers. ‍ Q2024 will focus on the role of official statistics as a pillar of democracy and on some of the most challenging issues currently faced by the official statistics community. The conference topics aim to be broad enough to cover the diversity of challenges faced by the statistical community while also addressing the most relevant dimensions within the field of quality. Q2024 will explore how institutional frameworks and the role of innovation and research impact on quality in official statistics, and it will also focus on the power of data and NSIs’ capabilities to harness opportunities in a challenging environment. ‍ Bearing in mind the importance of capacity-building in previous editions of the conference, a variety of engaging and informative one-day training courses will be held on 4 June 2024. These courses will be organised around four main pillars: quality management, innovation/data science/AI, dissemination/communication, and the integration of administrative and privately-held data.

Topics:

Event URL: Event Page

Additional Urls:

https://www.fao.org/statistics/events/events-detail/11th-european-conference-on-quality-in-official-statistics-(q2024)/en

Open data, Open source and reproducibility of statistical algorithms

04 Jun 2024 – 06 Jun 2024 The Hague, Netherlands

Source: Eurostat (Data extracted on: 07 Mar 2024 )

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Inter-regional expert meeting on the measurement of South-South cooperation

04 Jun 2024 – 06 Jun 2024 Doha, Qatar

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): ESCWA UNCTAD

Description: Body The inter-regional expert meeting on the measurement of South-South cooperation, organized by the United Nations Conference on Trade and Development (UNCTAD) and the United Nations Economic and Social Commission for West Asia (ESCWA), in collaboration with the UN Regional Commissions, and other partners will be hosted by and held in Qatar, Doha, from 4 to 6 June 2024.This meeting is part of the United Nations Development Account project on Quantifying South-South Cooperation to Mobilize Funds for the Sustainable Development Goals. The first Expert Meeting held in Brasilia, in July 2023, launched the project and discussed implementation of the global, voluntary Framework to Measure South-South Cooperation, developed in a joint effort by the countries of the Global South. The Framework is currently being refined and will be presented in Qatar, through a Manual, a step-by-step guidance supporting countries to fill the Framework with data.The Inter-regional expert meeting will have three segments. The morning of 4 June 2024, will be holding a preparatory expert meeting involving pioneering and pilot countries, jointly with project partners, to advance methodological and data collection work as a follow-up to the Brasilia meeting and finalize materials, like the Manual on the Framework, for sharing with a broader group of countries to guide future reporting of data on SDG indicator 17.3.1. The main meetings will commence in the afternoon of 4 June, with a high-level event to tackle strategic issues related to South-South cooperation, discussing the importance of South-South cooperation for accelerating progress towards the 2030 Agenda for Sustainable Development and the role of data in related research, development, and policy agendas. The high-level segment aims to agree on a way forward to enhance the voice of the global South in development finance debates.Lastly, a two-day technical capacity development workshop will follow, on 5-6 June, to guide Southern countries on applying the Framework and its Manual to empower national authorities to collect and analyse data on South-South cooperation and enable the reporting of country-owned data to the SDG indicator on development support. The events will discuss countries’ capacity support needs, and future data and tools to enable strategic management and further mobilization of South-South cooperation flows.The event aims to foster dialogue and empower Southern countries to collect and report their own data from country-owned systems. This effort helps to target national policy action and bolster strategic management of development support in the global South.The target audience will include national, regional and international experts on South-South cooperation and its measurement from development cooperation agencies, statistical offices, and ministries. For the high-level segment, senior officials from countries, regional and international organizations, project partners, and the academic community are invited to discuss and agree on strategies for integration of the Framework to strengthen South-South cooperation.High-Level speakersOpening remarks * Mr. Shaheen Ali Al Kaabi, Director of the Department of International Cooperation at the Ministry of Foreign Affairs, Qatar; * Mr. Pedro Manuel Moreno, Deputy Secretary-General of the United Nations on Trade and Development (UNCTAD) ;Session 1 * Moderator: Ms. Wafa Aboul Hosn, Chief of Economic Statistics, ESCWA * His Excellency Mr. Mohammed Abdul Aziz Al Nuaimi - Assistant President of the Planning and Statistics Authority; * Ms. Cristina Xalma, the main responsible for the Report of the South-South and Triangular Cooperation in Ibero-America, by the Iberoamerican General Secretariat (SEGIB); * Mr. Salah AlMuzahmi, Ph.D., Director of Research & Development Indicators department at the Statistical Centre for the Cooperation Council for the Arab Countries of the Gulf (GCC-Stat); * Mr. Alex Shimuafeni, Statistician-General of Namibia; * Mr. Sameh Hussein, Lead Technical Cooperation Specialist in the Islamic Development Bank (IsDB);Session 2 * Moderator: Ms. Anu Peltola, Director of Statistics, UN Trade and Development; * Mr. Denis Nkala, Ph.D., Chief- Intergovernmental and UN Systems Affairs in the United Nations Office for South-South Cooperation; * Mr. José Guillermo Ordorica Robles, Ambassador of Mexico in Qatar; * Ms. Reem Ismail Elsybaey, head of Sustainable development Unit at the Central agency for Public mobilization and statistics (CAPMAS) * Mr. Márcio Lopes Corrêa, General Coordinator for Multilateral Technical Cooperation, Brazilian Cooperation Agency (ABC); * Mr. Stefan Schweinfest, Director of the Statistics Division in UN Department on Economic and Social Affairs (DESA); * Mr. Matthias Reister, Chief of the Development Data Section at the United Nations Statistics Division.

Course Language: English

Topics:

Event URL: Event Page

30 May 2024 – 30 May 2024

Source: UNSD (Data extracted on: 30 Jul 2024 )

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Organizer(s): UNSD AI Generated

Description: This Joint Webinar of the Intersecretariat Working Group on Household Surveys (ISWGHS) and of the Global Network of Data Officers and Statisticians, which was attended by around 210 participants, featured Stephanie Eckman from the Social Data Science Center of the University of Maryland. She discussed how insights from survey methodology can help improve the quality of training and feedback data used for machine learning models like large language models (LLMs) which can improve model performance. Stephanie highlighted two key areas where survey methodology principles are relevant: 1) Representation - ensuring the labelers who train the models are representative of the target population, and 2) Measurement - ensuring the labeling instruments and procedures yield high-quality labels. On representation, she showed how characteristics of the labelers can impact the labels and resulting models, creating selection biases. If many labelers are from specific countries/regions then this can introduce demographic biases. One possible solution to adjust for this is using statistical weights for the different groups of labelers. On measurement, she described how aspects of the labeling interface like question wording, order, and format can significantly impact the quality of labels, which then impacts the trained model performance. Through an experiment, she demonstrated the importance of carefully designing labeling instruments akin to survey design principles. The Q&A covered topics like using sentiment analysis instead of binary labels, accounting for survey fatigue, leveraging existing survey data for model training, and concerns around cultural biases embedded in LLMs trained primarily on data from western, rich countries. Overall, Stephanie made a strong case for interdisciplinary collaboration between the survey research and AI/ML communities to improve training data quality and develop more accurate, unbiased AI models aligned with human values.

05 May 2024 – 09 May 2024 Salmiya, Kuwait

Source: IMF CEF (Data extracted on: 23 Apr 2024 )

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Organizer(s): World Bank

Description: The course will review concepts and definitions of key welfare indicators such as the consumption aggregate, poverty line and headcount rate, inequality, and shared prosperity measures. It will outline the key steps of household survey design and implementation, including sampling, survey instruments, and data quality monitoring. The training will also have a hands-on session using Stata, a statistical software for data management and analysis, to familiarize participants with its functionalities, including data importing, cleaning, and analysis. Through real-world examples, the course will cover how a consumption aggregate is calculated from food and non-food components of household expenditure, and the necessary imputations to capture rent, subsidized goods, and spatial differences in prices. Using these concepts, the course will enable participants to calculate welfare measures at national and sub-national levels. The training will also consist of interactive sessions among participants and trainers for focused country specific discussions on upcoming household surveys, labor force modules, and aspects of multi-dimensional poverty. The overarching goal would be to improve statistical capacity and create a basis for engagement on statistics that the Poverty team can build upon in future.

Target Audience: The training program on poverty measurement is specifically designed for officials and policymakers at the National Statistics Organizations (NSO), Ministries of Planning, Finance, Social and Labor Affairs, and related government think tanks of MENA countries. Countries where statistical capacity needs to be improved, and which are either in the early stages or in the process of implementing a household survey are especially encouraged to participate. This audience is targeted due to their roles in data management, analysis, and policy-making that require a deep understanding of household survey data and welfare measurement.

Course Language: English, Arabic

Topics:

Event URL: Event Page

Measuring Development 2024: AI, the Next Generation

02 May 2024 – 02 May 2024 Washington, United States

Source: World Bank (Data extracted on: 08 Mar 2024 )

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The State of the World's Food System

02 May 2024 – 02 May 2024

Source: FAO (Data extracted on: 07 Mar 2024 )

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Balance of Payments and International Investment Position Statistics (BOP-IIPx)

01 May 2024 – 15 Apr 2025

Source: IMF (Data extracted on: 08 Dec 2025 )

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National Accounts Statistics (NASx)

01 May 2024 – 15 Apr 2025

Source: IMF (Data extracted on: 08 Dec 2025 )

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Organizer(s): IMF

Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts data.

22 Apr 2024 – 03 May 2024 Ebene, Mauritius

Source: IMF (Data extracted on: 31 May 2024 )

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Organizer(s): IMF

Target Audience: Central bank officials and officials from regulatory agencies responsible for compiling monetary statistics.

Description: Body BackgroundIt is by now well understood that today’s financial and economic systems are not fit-for-purpose to address the triple planetary crisis and ensure a sustainable future for all. Our current system is biased towards prioritizing short-term profit over the long-term wellbeing of people and planet.As we head into the UNs Summit of the Future, one of the key structural challenges that needs to be addressed to advance the SDGs is the development of a universal and comprehensive measurement of progress on sustainable development to complement Gross Domestic Progress (GDP). It is key that young people have a voice in the development of a framework to complement GDP, a framework that will have implications on their futures and wellbeing.To this end, the SDG Lab is organizing an intergenerational discussion on “What Counts in the future?” in collaboration with the UN Conference on Trade and Development (UNCTAD) and the international student movement, Rethinking Economics. The objective is to infuse the discussion on how we move Beyond GDP with a diverse range of youth perspectives and expertise, to provide input for Member States as they negotiate the Pact for the Future.The dialogue is the continuation of discussion at the event “Rethinking Economic Systems for Long-term Sustainable Development”, which took place in October 2023 as part of the SDG Lab`s What`s Next series. The session brought together several influential organizations and stakeholders to reflect on the way forward to ensure that the economy creates value for local communities and countries today and in the future. The discussion made it clear that we need a mindset change and political courage to make use of the momentum to move beyond GDP.To generate insights from young people, an essay competition was launched in advance of the dialogue on 17 April. Over 630 young people from more than 50 countries submitted their response to the question: What values and principles would you like to see in a Framework to Value What Counts beyond GDP and what are the challenges to be addressed as a priority? ProgrammeAt this interactive in-person meeting the five winners of the global essay contest will share their perspectives on the values and principles that should be included in a framework to move beyond GDP. Furthermore, the meeting will invite leaders from both the public and private sphere, including senior UN officials and Member States and other international organizations, to reflect and engage with the young speakers.Speakers include: * Ms. Tatiana Valovaya, Director-General, United Nations Office at Geneva (UNOG) * Mr. Pedro Manuel Moreno, Deputy Secretary-General, United Nations Conference on Trade and Development (UNCTAD) * H.E. Ms. Eunice M. Tembo Luambia, Ambassador and Permanent Representative of Zambia to the United Nations Office and other international organizations in Geneva * Mr. Jean-Luc Bernasconi, Chief of Staff, Swiss Agency for Development and Cooperation (SDC), Member of the Directorate at SDC * Mr. Laurence Jones-Williams, Director of Rethinking Economics International * Ms. Özge Aydogan, Director of the SDG Lab, United Nations Office at Geneva (UNOG) * The five winners of the global essay competition on Moving Beyond GDP: * Ms. Paula Borges (Brazil) * Ms. Rose Holm (Denmark) * Ms. Kaydence Drayak (United Kingdom) * Ms. Julianna Makonise (Zimbabwe) * Ms. Aymen Ahmad (Pakistan)Read the publication"What counts in the future? Youth perspectives on measuring what we value".

27 Feb 2024 – 27 Feb 2024 New York, United States

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): UNCTAD WTO OECD IMF

Description: Body What is digital trade? And what action can countries take to measure, monitor, and respond to the challenges of digital trade? Digital technologies have made it increasingly feasible for buyers and sellers to place and receive orders globally. They also enable the remote delivery of services directly into businesses and homes. Digitalization is changing how products are purchased and delivered. Yet, it remains largely invisible in macroeconomic statistics. This side-event to the 55th session of the United Nations Statistical Commission introduces the newly released IMF-OECD-UNCTAD-WTO Handbook on Measuring Digital Trade and showcases several key measurement approaches. Its goal is to help statistical compilers across the world to address policymakers’ demands for better statistics on digital trade, and to ensure that developing economies are not left behind. Focusing on two key criteria – digital ordering and digital delivery across borders – the Handbook clarifies the definition of digital trade, reviews best data sources, and presents advances by countries in the measurement of digital trade. The Handbook thereby establishes a valuable shared foundation for understanding and measuring digital trade in a way that is consistent with the broader macroeconomic statistics and internationally comparable. Furthermore, it provides a crucial resource for an active programme of technical assistance and statistical capacity-building, through which the four co-authoring partner organizations can support statistical compilers as they seek to measure, monitor and respond to the challenges of digital trade. Side-events are open to all registered delegates to the 55th session of the UNSC. Speakers Mr. Bert Kroese, Chief Statistician, Data officer, and Director of Statistics, IMF. Ms. Anu Peltola, Acting Director of Statistics, UNCTAD. Dr. Mohd Uzir Mahidin, Chief Statistician, Malaysia. Mr. Paul Schreyer, Chief Statistician and Director of Statistics and Data, OECD. Mr. Vipin Arora, Director, Bureau of Economic Analysis, United States.

25 Feb 2024 – 25 Feb 2024 New York, United States

Source: UNSD (Data extracted on: 21 Jan 2026 )

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Description: Body The United Nations Conference on Trade and Development (UNCTAD) and the United Nations Office on Drugs and Crime (UNODC) are co-custodians of the Sustainable Development Goal (SDG) indicator 16.4.1 on the “total value of inward and outward illicit financial flows”. UNCTAD, in collaboration with the Economic Commission for Africa (ECA), has implemented a UN Development Account project from 2018 to 2022 on “Defining, estimating and disseminating statistics on Illicit Financial Flows (IFFs)”, in 11 countries on the African continent, including Ghana, Namibia, and Zambia. The project focused on developing a statistical methodology to estimate IFFs and resulted in the finalisation of the UNCTAD-UNODC IFF Conceptual Framework in 2020 and the UNCTAD Methodological Guidelines in 2021, to measure tax and commercial IFFs, and tested by all pioneering countries. The project and related guidelines supported the countries to assess the types of IFFs relevant to their national contexts. Countries pilot tested between one and three of the methods to measure different types of IFFs, including trade misinvoicing, profit shifting and offshore wealth. In parallel, UNCTAD Africa, Least Developed Countries (ALDC) Division was focusing on strengthening research and data analysis skills in selected pioneering countries and developing targeted policy measures linked to specific IFF activities. These pioneering countries have paved the way for the approach to measure IFFs, providing a wealth of knowledge, lessons learned and resources such as terms of references, tools and guidelines. At the end of the project, more work was necessary to confirm the preliminary estimates and extend them to other types of IFFs towards reporting data on the Global SDGs Indicator Database for 16.4.1. At half-way point through the 2030 Agenda and in the conditions of compounding crises, it is more urgent than ever to pursue SDG target 16.4 to significantly reduce illicit financial (and arms) flows by 2030, strengthen the recovery and return of stolen assets and combat all forms of organized crime. The new project proposes to refine preliminary estimates, to pilot test new methodologies and report results on the Global SDGs Database, as well as to link estimates with policy formulation and action. Objectives The objectives of the online regional workshop are as follow: Kick-off the project and introducing the different entities; Present the project components, objectives, activities and timeline; Countries share expectations on measurement and policy pillars, confirming their national objectives. Participants UNCTAD Statistics; UNCTAD ALDC; Ghana Statistical Service; Bank of Namibia; Zambia Statistics Agency; other relevant national institutions in countries; ECA (tbc); UN Regional Coordinator Offices (tbc).

12 Feb 2024 – 13 Feb 2024 Madrid, Spain

Source: BIS (Data extracted on: 11 Dec 2023 )

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Organizer(s): BIS ECB Bank of Spain

Description: This conference on External Statistics brings together users and compilers of external statistics. It is organised jointly by the Irving Fisher Committee on Central Bank Statistics (IFC) of the Bank for International Settlements, the European Central Bank (ECB) and the Banco de España (BdE). The event aims to foster regular discussions and sharing of experiences within the central banking community as well as with other interested stakeholders and users to identify the main analytical needs, prioritise data collections and address upcoming challenges in external statistics. To this end, the agenda will include keynote speeches from influential policymakers and academics, round table discussions and thematic sessions, with inputs both from analysts and compilers. Following its first edition held in 2020 (Lisbon, Portugal), this conference will focus on the recent factors that have been reshaping the landscape for external statistics: in particular, the consequences of the pandemic and its aftermath, digitalisation, geo-political tensions and growing attention to environmental issues. The event will also be an opportunity to shed light on important statistical developments affecting the measurement of the external sector, namely improvements in compilation methods, the use of multiple information sources, the growing importance of micro data and the ongoing review of international statistical standards, particularly the update of the Balance of Payments Manual (BPM7).

Topics:

05 Feb 2024 – 08 Feb 2024

Source: AITRS (Data extracted on: 27 Nov 2024 )

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Title in Arabic: العمل بالنموذج العام للعمل الإحصائي (GSBPM)

Organizer(s): AITRS

Description: This course, presented by the Statistics Department, covers theoretical and practical aspects in the compilation of national accounts statistics based on the conceptual framework of the System of National Accounts 2008 (2008 SNA). The course consists of lectures covering methodological and compilation issues of the 2008 SNA and workshops consisting of practical exercises in compiling the accounts. The main aim of the course is to train participants in the compilation of annual gross domestic product both at current prices and in volume terms using the production and expenditure approaches, in support of better policy-making and surveillance. The course starts with an overview of the system of national accounts, presenting the sequence of accounts for transactions and other flows as well as balance sheets, with a focus on the framework of the 2008 SNA. It covers the main concepts involving transactions, other economic flows, stocks, institutional units, classifications, and main macroeconomic aggregates measured by the system. The main lectures and workshops include: sessions on the production account covering the definition and measurement of output, intermediate consumption, and value added; valuation issues; and the treatment of particular industries; source data and issues in the compilation of GDP by production and expenditure approaches; deflators and derivation of volume measures of GDP; and specific issues related to goods and services transactions, including supply and use framework, inventory valuation adjustment, consumption of fixed capital, non-observed and informal economy, global supply chains, and the digital economy. Emphasis is also placed on sharing country experiences among the participants, both informally and via specific country case study sessions. Asynchronous Component — January 15–19, 2024 This component will comprise five modules and will focus on the conceptual issues that will be performed by the participants after each synchronous part. The asynchronous component will be supplemented with assigned readings and references. These modules will be made available to the participants at least five days before the start of the synchronous classes. Participants will be required to take a pre-course quiz. Successful completion (i.e., a passing grade) will not be a pre-requisite for participating in the synchronous component. The results of the quiz will be only used by the instructors to determine the knowledge of the participants. Synchronous Component — January 29–February 9, 2024 The synchronous component will focus on the practical compilation of issues and topics that may require greater instructor input and feedback. It will comprise lectures, question and answer sessions and practical workshop exercises. The lectures will be developed using existing lecture presentations and the scripts that were prepared for the online course. The lectures will be presented in 30 minutes to 45-minute slots. Each presentation will be followed by a brief exercise or question-answer session. Participants will be invited to present case studies of practical problems or proposed solutions to practical problems. These issues could be related to source data or compilation. Participants will also be invited to respond to some practice questions in discussion forums. This will be followed by a workshop where the responses to these questions will be discussed, along with the correct answers.

Target Audience: Compilers of national accounts statistics employed by agencies responsible for official national accounts data.

22 Jan 2024 – 02 Feb 2024 Abu Dhabi, United Arab Emirates

Source: IMF (Data extracted on: 05 Feb 2024 )

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Organizer(s): IMF

Description: This course, presented by the Statistics Department, provides participants with an introduction to the compilation of monetary statistics covering the central bank (CB) and other depository corporations (ODCs) in accordance with international standards. Course materials are based on the Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG). The course discusses the principles of residency and sectorization of institutional units, the characteristics and types of financial instruments, valuation principles, and other accounting issues that are relevant to the compilation of monetary statistics. Participants also become familiar with the defining characteristics of depository corporations (DCs), notably their role as money issuers, and with the main principles on which analysis of monetary and credit aggregates is based. The course consists of lectures, and exercises covering practical aspects of compiling monetary statistics, especially the use of financial statements for filling out standardized report forms (SRFs 1SR and 2SR) and the derivation of the respective surveys for the CB, ODCs, and the consolidated DCs sector. Participants should be prepared to ask questions and discuss challenges related to MFS compilation practices. This course is an abbreviated version of the longer, introductory MFS course traditionally offered by STA in-person.

Target Audience: Central bank officials and officials from financial regulatory agencies responsible for compiling monetary statistics.

Course Language: English

Topics:

Description:

The United Nations Statistics Division cordially invites you to the webinar 'Advancing Official Statistics - Celebrating Milestones and Shaping the Future of FPOS,' held remotely on January 18 from 09:00 to 10:30 New York Time. This event marks the culmination of a series of global engagements, which included consultations with experts, statistical associations, webinars, workshops, and international conferences. These initiatives have been aimed at deepening the understanding of the Fundamental Principles of Official Statistics (FPOS) within a rapidly changing data ecosystem, paving the way to the 55th session of the Statistical Commission, where the global adoption of these principles will be celebrated.

This webinar will feature a dynamic panel discussion. Following a brief introduction, we will embark on an exploratory journey covering key topics such as the genesis of the FPOS, their relevance in today's fast-evolving data landscape, as well as success stories and challenges in implementation. The discussion will also delve into how the Terms of Reference for the Independent Advisory Board and the commented outlines of the revitalized FPOS, submitted for discussion and approval at the 55th session of the Statistical Commission, might contribute to their broad implementation. The panel will be followed by an open debate, offering a unique opportunity for attendees to engage with the subjects, share insights, and contribute to the dialogue.

15 Jan 2024 – 17 Jan 2024

Source: AITRS (Data extracted on: 27 Nov 2024 )

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Title in Arabic: الأرقام القياسية وأنواع الأسعار ومؤشراتها والمنهجيات

Organizer(s): AITRS League of Arab States

19 Dec 2023 – 19 Dec 2023

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): ECA UNCTAD

Description: Body Financing Sustainable Development Goals (SDG) process and achievement has been at the heart of global leaders around the way due to the challenge it represents in terms of amounts to be mobilized and their sources. The SDG agenda foresaw in its Target 17.3 the need to “Mobilize additional financial resources for developing countries from multiple sources” as a supporting means to implement the Agenda beside ODA flows and strengthening of domestic resources mobilization. In this respect, understanding the contribution of South-south Cooperation (SSC) constitutes an important step in better comprehending the sources of development support for developing countries as well as the specific challenges faced by developing countries in meeting the SDGs.The Economic Commission for Africa, African Center for Statistics (ECA-ACS), in collaboration with the United Nations Conference on Trade and Development (UNCTAD) Statistics Service, are organizing a session during the StatsTalk-Africa webinar on progress and challenges regarding the measurement of SSC, as part of the new SDG indicator 17.3.1 on ‘additional financial resources mobilized for developing countries from multiple sources’. The new indicator’s methodology was adopted by the United Nations Statistical Commission (UNSC) at its 53rd session in March 2022.Thanks to the joint efforts of the South, now for the first time there is a global, voluntary Conceptual Framework to Measure South-South Cooperation which will support countries’ reporting on the SDG indicator. The Statistical Commission, at its 53rd session, welcomed the development of this conceptual framework and “requested that further work on this, including on global reporting and capacity-building, be enabled by the co-custodianship of UNCTAD and be led by countries from the global South, building on country-led mechanisms”. The Commission also invited countries involved in SSC to work closely with UNCTAD to that effect. This event will update heads of National statistical offices (NSOs) and international cooperation agencies across Africa as well as other participants interested in this field. Specifically, this event on the quantification of SSC aims to: * Share information on the new SDG Indicator 17.3.1 and on the Framework to measure South-South cooperation elaborated by countries of the South; * Present the ongoing UN Development Account project on Quantifying South-South cooperation to mobilize funds for the SDGs; * Discuss African perspectives on South-South cooperation and its measurement.Kindly register here: https://zoom.us/webinar/register/WN_e8vHNn2MSOq7vMuyGHnYMg

Description: This webinar was jointly organized by the Inter-Secretariat Working Group on Household Surveys (ISWGHS) and the Global Network of Data Officers and Statisticians. We welcomed Marcelo Pitta, Thiago Meireles, and Pedro Silva from the Brazilian Network Information Center (NIC.Br) and the Brazilian Institute for Geography and Statistics (IBGE) who presented on the topic of leveraging non-probability samples and organic data for producing public statistics. The use of non-probability samples and of non-designed organic data for producing reliable public statistics is now a hot field of study and academic production. Such alternative data sources have been growing in importance due to the increasing demand for more timely and disaggregated data, resource constraints, and the increasing non-response associated with conventional probability sample surveys. Substantial body of emerging literature aims to enable official and public statistics producers to cope with the challenges presented by using such alternative data sources, namely the potential biases created by selection effects or undercoverage. The COVID-19 pandemic has compounded this scenario and increased the difficulties already faced by statistics producers. In this context, some experiments were developed to produce public data from alternative data sources in the Brazilian Network Information Center (NIC.br), a non-profit organization responsible for the planning, evaluation, and monitoring of the use of information and communication technologies (ICT) in Brazil. Here we present the approaches adopted in two projects developed to fulfil the information needs of policymakers and civil society for insights into Internet usage and Internet quality. The first experience focused on Internet usage and adopted a designed non-probability sample of internet users conducted via web self-interviewing during the COVID-19 pandemic. The second experience involved estimating from a large, non-designed organic database of Internet quality measurements taken in self-selected schools. For the Internet usage survey, a web panel, initially selected utilizing quota sampling, was surveyed to assess emerging policy-relevant topics such as privacy and e-waste among Internet users. The survey was developed in response to the urgent need for Internet usage data during the COVID-19 pandemic, in a period when traditional face-to-face household surveys were infeasible. For the Internet quality study, our experience comprised determining pseudo-weights for Brazilian public basic education schools participating in a voluntary scheme where measurements of internet quality are regularly reported to the NIC.br via the ‘Simet’ devices installed in the schools. While not all public schools have installed the Simet devices, we have developed an approach to leverage existing School Census data to estimate pseudo-weights for the participating schools, thus enabling the production of Internet quality estimates for the entire school population while minimizing response bias.

29 Nov 2023 – 29 Nov 2023

Source: UNSD (Data extracted on: 11 Dec 2023 )

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Organizer(s): UNSD

Description: In this Global Network Webinar, we welcomed Yongyi Min, Heather Page, Daniel Eshetie, and Sokunpanha You from the United Nations Statistics Division (UNSD) of the Department of Economic and Social Affairs (DESA). They shared data and insights from The Sustainable Development Report 2023: Special Edition and supplementary materials and introduced participants to the UN Data Commons for the SDGs. 2023 is the critical midpoint of the implementation of the Sustainable Development Goals (SDGs). To mark this occasion, DESA released a special edition of its annual flagship Sustainable Development Goals Report. Using the latest available data and estimates, this publication provides a comprehensive midpoint assessment of the 2030 Agenda, highlighting not only impacts of multiple crises affecting people's lives and livelihoods, but also areas of progress where acceleration is needed. This report is prepared by DESA, in collaboration with the entire UN Statistical System, consisting of more than 50 international and regional agencies, based on data from over 200 countries and territories. Serving as a companion to the report, The Sustainable Development Goals Progress Chart 2023 presents an overview of global progress with respect to the targets outlined in the 17 Goals of the 2030 Agenda for Sustainable Development, employing a visual framework of stoplight colours to measure progress towards each target using trend data between the baseline year of 2015 and the most recent year. And enabling access to even more granular SDG data and the visualization and analyses of those data, UNSD recently launched UN Data Commons for the SDGs, a platform integrating authoritative SDG data and information from across the UN System into a public repository with advanced search functionality and a modern, user-friendly interface.

23 Nov 2023 – 15 Dec 2023

Source: ILO ITC (Data extracted on: 03 Feb 2023 )

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Organizer(s): ILO ITC

Description: Starting with a question, a knowledge gap, and looking for an answer through data. This certification programme aims to provide development practitioners with the knowledge, methods, tools and software solutions to gather, store, process, analyse, visualise, and utilise qualitative and quantitative data to meet the information needs of an organisation and its stakeholders. With the technological advances of recent years, the amount of data and its potential have multiplied, but together with the risks of data manipulation and misinformation. This situation calls for stronger evidence-based management in the public sector and in development cooperation. Through this certification programme, participants develop their data analysis skills to generate and manage knowledge that ultimately inform decision-making. The course relates to the phases of the policy and programme cycles and prepares for the identification of need of knowledge and data in order to - inform strategic intervention planning - the development of evidence-based development models and theories of change - allow adaptive and agile management fed by an up-to-date and on demand data and evidence availability - strengthen evaluation robustness on the basis of solid data collection, analysis and knowledge provision - underpin organisational development based on ready availability of data and analysis - enhance external communication fed by credible evidence

Target Audience: This certification program on data analysis and knowledge management for development is intended for a wide range of actors active in the field of development cooperation, in the public sector or the third sector who want to improve evidence-based management processes: technical specialists, programme and project managers, monitoring and evaluation officers, evaluators, programme managers. Members of the research community involved in the identification, design, implementation and evaluation of development policies, programmes and projects are also invited to participate.

Course Language: English

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13 Nov 2023 – 08 Dec 2023

Source: ILO ITC (Data extracted on: 02 Jun 2023 )

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Title in French: Mesurer l'inadéquation des compétences

Organizer(s): ILO ITC ILO

Description: L'inadéquation des compétences est une préoccupation commune des décideurs politiques, des employeurs et des travailleurs. Il s'agit d'un thème récurrent dans l'enseignement professionnel et le développement des compétences, avec de nombreuses initiatives politiques lancées pour faire face aux diverses formes du phénomène. En ce qui concerne les compétences fondées sur des données factuelles, des statistiques d'élaboration des politiques sur les diverses formes d'inadéquation des compétences sont nécessaires. S'appuyant sur sa longue expérience dans la prestation de formations sur les compétences et l'analyse du marché du travail, le Centre international de formation de l'OIT, en pleine collaboration avec le Département des statistiques de l'OIT, propose la première édition de ce cours en ligne en français dans le but d'équiper les et des acteurs internationaux dotés des compétences nécessaires pour mesurer et analyser les inadéquations et les déséquilibres de compétences pour l'élaboration de politiques fondées sur des données probantes. Le cours est conçu pour renforcer les capacités d'identification, de collecte, d'analyse et de diffusion des informations sur le marché du travail liées aux déséquilibres de compétences du côté de la demande et de l'offre.

Target Audience: Offices nationaux de statistique (ONS) ; ministères du travail et institutions connexes (telles que les observatoires du travail); les institutions gouvernementales engagées dans l'emploi, le développement des compétences, l'adéquation et l'analyse des compétences ; les organisations internationales et les agences donatrices engagées dans l'adéquation des compétences ; conseils de compétences ; les autorités nationales de l'EFTP ; centres d'EFTP ; les organisations de travailleurs et d'employeurs; les établissements de recherche et universitaires; organisations internationales; agences de développement; organisations non-gouvernementales.

Course Language: French

Description: Join FAO for the launch of the flagship report "The State of Food and Agriculture 2023", which will be held under the theme "Revealing the true cost of food to transform agrifood systems". Monday, 6 November 2023 | 12.30 – 14.00 (Rome hours) Sheikh Zayed Centre, FAO headquarters and online | Register here The 2023 edition of The State of Food and Agriculture report focuses on uncovering the hidden impacts of our agrifood systems for informed decision-making. It proposes true cost accounting (TCA) as an approach to quantify the hidden costs and benefits of our agrifood systems. Using TCA, this report provides a first attempt at quantifying the environmental, social and health hidden costs of agrifood systems for 154 countries. The findings are a starting point to stimulate debate and dialogue among agrifood systems actors. This initial quantification can be improved based on country-specific information and input from in-country stakeholders and experts, to guide in-depth analyses for transformative actions at country-level. The 2024 edition of the report will continue on this theme and focus on case studies to highlight the flexibility of this approach to support sustainable agrifood systems transformation. Opened by the FAO Director-General, the high-level panelists will share their experiences in addressing these hidden costs of agrifood systems, highlighting the importance of measuring and integrating them into decision-making in order to improve the value of agrifood systems. A discussion will follow on how the TCA approach can reinforce the environmental, social and economic sustainability of agrifood systems. Interpretation will be provided in all UN languages. Previous editions of the series The State of Food and Agriculture are available here.

Description: This course, presented by the IMF Statistics Department, is based on the conceptual framework of the 2008 System of National Accounts (2008 SNA). It covers advanced methodological and practical issues related to the compilation of the sequence of accounts of the SNA (current and capital accounts, financial accounts, other changes in volume of assets accounts, revaluation accounts, and balance sheets) byinstitutional sectors. The course will also examine the linkages between institutional sectors as a basis for establishing from-whom-to-whom accounts. The aim of the course is to provide participants with the necessary skills to compile-or further enhance-their country's institutional sector accounts and the balance sheets. The course consists of lectures covering conceptual and methodological issues, workshops sessions on practical compilation issues, discussions on emerging financial issues such as fintech and crypto assets. It will review case studies involving new applications of ISA such as household distributions to examine income, consumption and wealth accumulation by various cohorts and intergenerational transfers and pensions. The myriad ways in which the ISA supports economic policy will also be examined. The lectures will provide a thorough review of the methodological framework, concepts, and definitions relating to sectoral institutional sector accounts and balance sheets, examine potential data sources for the compilation of annual and quarterly ISA, and illustrate possible compilation techniques and procedures. The course also provides a forum for participants to share country practices and experiences relating to the compilation of sectoral institutional accounts and balance sheets.

Course Language: English

Topics:

23 Oct 2023 – 15 Dec 2023

Source: ILO ITC (Data extracted on: 03 Jul 2023 )

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Organizer(s): ILO ITC ILO

Description: Weighting is one of the major components in survey sampling. For a given sample survey, to each unit of the selected sample is attached a weight that is used to obtain estimates of population parameters of interest (e.g. means, totals, rates). The weighting process usually involves three steps: (i) obtain the design weights, which account for sample selection; (ii) adjust these weights to compensate for nonresponse; (iii) adjust the weights so that the estimates coincide to some population figures known from external trusted sources. The principle behind estimation in a probability survey is that each sample unit represents not only itself, but also several units of the survey population. The design weight of a unit usually refers to the average number of units in the population that each sampled unit represents. This weight is determined by the sampling method and is an important part of the estimation process. While the design weights can be used for estimation, most surveys produce a set of estimation weights by adjusting the design weights to improve accuracy of the final estimates. Once the final estimation weights have been calculated, they are applied to the sample data in order to compute estimates. The ILO Department of Statistics, in collaboration with the ITCILO, is proud to offer the Online course "Weighting Methods & Strategies". This course is directly linked to the course "Sampling Design: A Practical Approach" planned to take place in the spring of 2023 as both courses complement each other. Both courses are considered a learning journey that qualifies the learner to understand comprehensively Sampling design & weighting. Hence, attending both courses is strongly recommended for a fulfilling learning journey.

Target Audience: This course requires basic knowledge of statistics and probability! - It requires basic capacity to run procedures on statistical software using syntax (e.g. Stata do files, Spss syntax files, R scripts, Sas program files, etc.), and in particular with R3. The target audience includes: - Statisticians and practitioners from national statistical offices that have a role in designing household surveys samples.

Course Language: English, French, Spanish, Russian, Arabic

Topics:

Event URL: Event Page

Changes in energy statistics from 2024 onwards

21 Sep 2023 – 21 Sep 2023

Source: Eurostat (Data extracted on: 03 Feb 2023 )

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Working Party of National Experts on Science and Technology Indicators (NESTI)

20 Sep 2023 – 22 Sep 2023

Source: OECD (Data extracted on: 15 Dec 2022 )

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Meeting of the Group of Experts on Population and Housing Censuses

20 Sep 2023 – 22 Sep 2023 Geneva, Switzerland

Source: ECE (Data extracted on: 12 Sep 2025 )

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Inter-regional Workshop : Project on Measuring and Curbing IFFs

20 Sep 2023 – 21 Sep 2023 Geneva, Switzerland

Source: UNCTAD (Data extracted on: 11 Jun 2025 )

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Organizer(s): UNCTAD UNODC ECA

Description: Body UNCTAD and UNODC are custodian agencies of indicator 16.4.1 on illicit financial flows (IFFs) and their respective statistical sections jointly developed a Conceptual Framework for the Statistical Measurement of Illicit Financial Flows in 2020.1 The Framework was endorsed by the UN Statistical Commission in March 2022. In parallel, custodian agencies have drafted methodologies to measure various types of IFFs. To date, methodologies to measure IFFs have been tested by 22 countries on three continents in efforts coordinated by UN regional commissions and UNODC field Offices (on crime-related IFFs), alongside UNCTAD and UNODC statistics. This includes 12 African countries, 4 Latin American and 6 Asian countries many of which produced first estimates of commercial or crime-related IFFs. As lessons are learned and estimation methods are tested and refined, interest from countries to systematically and regularly measure IFFs is growing. During the first quarter of the year 2023, for SDG reporting, UNODC has provided the first ever data on crime-related IFFs for SDG indicator 16.4.12. Following up with these efforts, the UN Development Account project Measuring and Curbing Illicit Financial Flows3 aims to strengthen the capacity of developing countries across regions to produce standardized estimates of illicit financial flows and enhance investigative and analytical capacities to develop evidence -based policy responses to monitor and curb illicit financial flows. This workshop is organised with three specific objectives: * To kick-off the UN Development Account project Measuring and Curbing Illicit Financial Flows globally and bring partners and participating countries to the similar level of understanding of the project and strengthen stakeholder engagement and coordination. * To enhance the capacity of countries on understanding the methodologies developed by custodian agencies and regional commissions to measure SDG indicator 16.4.1 on IFFs, and support countries in formulating relevant policy responses and providing examples from different regions. * Provide participating countries opportunities to share their experiences and learn. Targeted participants of the international kick-off meeting are national and international stakeholders within the UN Development Account project Measuring and Curbing Illicit Financial Flows. 1 https://unctad.org/publication/conceptual-framework-statistical-measurement-illicit-financial-flows 2 Selecting data series to reflect SDG indicator 16.4.1 on SDG Indicators Database: https://unstats.un.org/sdgs/dataportal/database returns Indicator 16.4.1 series: Total value of inward illicit financial flows (DI_ILL_IN) and Total value of outward illicit financial flows (DI_ILL_OUT). 3 https://unctad.org/project/measuring-and-curbing-illicit-financial-flows

18 Sep 2023 – 29 Sep 2023 Abu Dhabi, United Arab Emirates

Source: IMF (Data extracted on: 06 Sep 2023 )

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Organizer(s): IMF

Description: This two-week intermediate regional course on balance of payments and IIP statistics is presented by Statistics Department and targets compilers with some experience in compilation of balance of payments and/or IIP. The course will focus on more complex methodological issues than the previous balance of payments/IIP standard courses. It aims at providing a deep understanding of the concepts, data sources, and compilation techniques for balance of payments and IIP statistics and their application for addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts. Therefore, it is highly recommended to complete the balance of payments/IIP online course (BOP-IIPx) to review or learn the balance of payments/IIP basic concepts. The course consists of a series of lectures and workshops analyzing country cases with a strong data component and to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in global economy, and participants can discuss how these impact compilation work. Specific exercises are geared to integrating data compilation with Fund surveillance and policy advice, and to demonstrate the analytical uses of ESS.

Course Language: English

Topics:

Event URL: Event Page

Additional Urls:

https://www.cef.imf.org/content/cef/home/Training/CourseDescription/Courses2024.html#collapse_65

SDMX - Statistical Data and Metadata eXchange

18 Sep 2023 – 29 Sep 2023

Source: ILO ITC (Data extracted on: 03 Jul 2023 )

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Organizer(s): ILO ITC

Description: Statistical data exchanges often take place in an ad-hoc manner, using all kinds of formats and non-standard concepts, hence the need for common standards, guidelines and tools to enable more efficient processes for exchanging and sharing statistical data and metadata. SDMX (Statistical Data and Metadata eXchange) is an international initiative that aims to standardize and modernize ("industrialize") the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. The standard has evolved in recent times, going beyond straightforward data exchange and now enabling more efficient and reliable data storage and dissemination. SDMX is a business choice (as opposed to a technical choice), improving the quality of statistical data-processing and exchange through standardization, automation, validation and data-sharing. SDMX is a standard (indeed an ISO standard, 17369:2013) designed to describe statistical data and metadata, normalize their exchange and enable them to be shared more efficiently among organizations. To meet these three requirements, SDMX has three key components: 1. Technical standards (including the Information Model); 2. Statistical guidelines; 3. An IT architecture and tools. SDMX is therefore much more than a mere data-transmission format. All labour market information (LMI) systems implemented with the assistance of the ILO are based on and make intensive use of SDMX. The objective of the course is to enable participants to understand the scope, architecture and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata. This will enable the to: - Assess how to take advantage of SDMX in their day-to-day work; - Understand DSDs and MSDs, and how they reflect requirements for data and metadata exchange; - Work together (statisticians and IT specialists within an organization) in planning for SDMX in their domain; - Learn how to model data in using SDMX for data-exchange, storage and/or dissemination; - Understand the relationship between SDMX and the production of statistics; - Understand the different roles of organizations in the collection and production of statistics and their relationship with SDMX; - Understand (in broad terms) the different tools available in the marke, and the architecture that can be developed; - Understand how SDMX enables data harmonization across a system.

Target Audience: National statistical offices (NSOs); IT specialists; ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.

Description: Body The need for statistics on gender-in-trade is becoming pressing as governments strive to develop gender-responsive trade policies. The Regional Workshop will focus on the importance of collecting and utilising gender-in-trade statistics to support better policymaking across the African continent. In addition, the Regional Workshop also discusses the findings obtained from six pilot countries – Georgia, Kazakhstan, Kenya, Senegal, Cameroon, and Zimbabwe – that participated in undertaking exercises in micro-linking trade and non-trade data within their countries and identify ways forward for improved data collection in gender-in-trade statistics. The objectives of this regional workshop is to: * Encourage knowledge sharing amongst statistics officers on best methods and practices to support the collation of data and statistics on gender and trade and to understand how to undertake micro-linking of non-trade and trade data. * Drawing on the findings from the African pilot case studies, discuss the long-term goal of collecting sex-disaggregated trade data and identify gaps and proposed solutions for ensuring that national statistics collection includes gender-responsive indicators across the continent. * Improve understanding of regularising and implementing long-term data collection on informal cross-border trade (ICBT) to inform evidence-based policymaking that meet the needs of informal and small-scale traders. This workshop is organized by the United Nations Economic Commission for Africa (UNECA), with contributions from the United Nations Conference on Trade and Development (UNCTAD) and the United Nations Economic Commission for Europe (UNECE). Financial support for this project was provided by United Nations Development Account.

Description: "Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses. " This course, presented by the Statistics Department, is intended to broaden participants’ understanding of the concepts, methods, and challenges of compiling CPIs. Concepts and methods introduced in the online CPIx are explored in greater detail to address actual compilation issues faced by participants. It provides an overview of the index number theory and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course covers the sources and methods for developing/validating weights; and practical applications of the methods used for sampling areas, items, outlets, and varieties. New and emerging data sources as well as new collection technologies are discussed. Frontier issues including how to better measure the digital economy are included. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: calculating elementary and upper-level indexes; methods for handling temporarily and permanently missing prices; introducing new outlets, items, and varieties; adjusting prices for quality changes; chaining and linking indexes with updated weighting structures; and meeting data users’ needs to ensure relevancy. The course follows the principles and recommendations of the CPI Manual (2020).

Course Language: English

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Event URL: Event Page

Statistics for Planning, Monitoring and Evaluation

21 Aug 2023 – 25 Aug 2023 Dar es Salaam, Tanzania

Source: EASTC (Data extracted on: 30 May 2023 )

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6th Baltic-Nordic Conference on Survey Statistics

21 Aug 2023 – 25 Aug 2023 Helsinki, Finland

Source: ISI (Data extracted on: 03 Jul 2023 )

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Fostering inclusion through data - Summer school course on analysing data on children with disabilities

21 Aug 2023 – 24 Aug 2023 Rovereto, Italy

Source: ECE (Data extracted on: 03 Jul 2023 )

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Agricultural statistics

21 Aug 2023 – 24 Aug 2023

Source: AITRS (Data extracted on: 07 Dec 2023 )

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Title in Arabic: الاحصائيات الزراعية

Organizer(s): AITRS

14 Aug 2023 – 15 Aug 2023

Source: AITRS (Data extracted on: 07 Dec 2023 )

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Title in Arabic: الصحافة القائمة على البيانات

Organizer(s): AITRS

Description: تعد صحافة البيانات أداة مهمة يستخدمها الصحفيون في تقاريرهم لأنها تتيح توفير السياق والرؤية وتعزيز المصداقية وتشجيع المساءلة وإشراك الجماهير. من خلال دمج تحليل وتصور البيانات في التقارير الصحفية، يمكن للصحفيين إنتاج محتوى أكثر تأثيرًا وغنيًا بالمعلومات يساعد على إعلام الجمهور وتمكينه. - يمكن أن توفر صحافة البيانات سياقًا مهمًا ورؤية ثاقبة للقضايا المعقدة من خلال السماح للصحفيين بتحليل كميات كبيرة من البيانات وتحديد الأنماط والاتجاهات التي قد لا تكون واضحة على الفور. باستخدام البيانات لدعم التقارير، يمكن للصحفيين تعزيز مصداقيتهم وإظهار دقة عملهم، حيث يمكن أن يساعد ذلك في بناء الثقة مع الجماهير وزيادة تأثير تقاريرهم. يمكن أن تساعد صحافة البيانات في مساءلة الأفراد والمؤسسات من خلال الكشف عن أنماط السلوك التي قد لا تظهر على الفور. يمكن أن يكون هذا مهمًا بشكل خاص في مجالات مثل الحكومة والتمويل، حيث يمكن أن توفر البيانات رؤى مهمة حول كيفية اتخاذ القرارات وكيفية تخصيص الموارد. كما يمكن أن تكون صحافة البيانات أداة قوية لإشراك الجماهير من خلال تقديم معلومات معقدة بطريقة سهلة الفهم ومقنعة بصريًا. باستخدام تصور البيانات والتقنيات الأخرى، يمكن للصحفيين مساعدة الجمهور على فهم القضايا المعقدة بشكل أفضل واتخاذ قرارات مستنيرة. من هذا المنطلق، تأتي هذه الورشة التدريبية لتطوير مهارات الصحفيين في هذا المجال وربطهم بالعاملين في الأجهزة الإحصائية العربية.

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Event URL: Event Page

Sixth Meeting of the Subgroup on Administrative and Other Data Sources (EG-NQAF)

11 Aug 2023 – 11 Aug 2023

Source: UNSD (Data extracted on: 20 Mar 2024 )

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Third Meeting of the Friends of the Chair Group on Social and Demographic Statistics

10 Aug 2023 – 10 Aug 2023

Source: UNSD (Data extracted on: 22 Mar 2024 )

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17 Jul 2023 – 11 Aug 2023

Source: ILO ITC (Data extracted on: 03 Jul 2023 )

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Title in Arabic: أكاديمية إحصاءات وتحليل سوق العمل للمنطقة العربية

Organizer(s): ILO ITC

Description: لا يزال تطوير أنظمة إحصائية قوية لإنتاج وجمع ونشر معلومات موثوقة وشاملة وفي الوقت المناسب عن سوق العمل أمرًا بالغ الأهمية لصنع السياسات القائمة على الأدلة ولتعزيز "العمالة الكاملة والمنتجة والعمل اللائق للجميع". يعد الطلب على البيانات الإحصائية عالية الجودة أمرًا ملحًا بشكل خاص في البلدان التي لا تسمح فيها النظم الإحصائية الحالية بالإنتاج المنتظم لإحصاءات سوق العمل الموثوقة وذات الصلة في الوقت المناسب. علاوة على ذلك، أدت التغييرات السريعة في عالم العمل، التي تسارعت بسبب جائحة كوفيد 19 ، إلى زيادة الضغط على الأنظمة الإحصائية الحالية لابتكار وإنتاج مؤشرات جديدة وأفضل لقياس حقائق سوق العمل المتغيرة. تعتبر المعايير الإحصائية المبتكرة التي وضعها المؤتمران الدوليان التاسع عشر والعشرون لإحصاءات العمل فيما يتعلق بإحصاءات العمل وعلاقات العمل ضرورية للهدف الشامل المتمثل في تحقيق العمل اللائق للجميع. لقد ثبت بالفعل أهميتها في المراقبة الفعالة لأسواق العمل خلال الأوقات العادية وخلال أوقات الأزمات في العديد من البلدان في جميع أنحاء العالم. إن القرارات والمبادئ التوجيهية التي اعتمدها المؤتمر الدولي العشرون لخبراء إحصاءات العمل حول موضوعات مثل هجرة اليد العاملة وعلاقات العمل، وقياس الامتثال لحقوق العمال، وقياس وجود استراتيجيات التوظيف للشباب، وما إلى ذلك، سوف تساهم بشكل كبير في رصد التقدم المحرز نحو تحقيق أهداف التنمية المستدامة ، لأنها ترتبط ارتباطًا وثيقًا بالعديد من مؤشرات أهداف التنمية المستدامة. مع أخذ هذه التطورات الأخيرة في الاعتبار ، تفخر إدارة الإحصاء التابعة لمنظمة العمل الدولية ، المركز الدولي للتدريب التابع لمنظمة العمل الدولية (ITCILO) ، بالتعاون مع المكتب الإقليمي لمنظمة العمل الدولية للدول العربية ، بتنظيم الأكاديمية المصغرة لإحصاءات سوق العمل للمشاركين في المنطقة العربية. ستقام الأكاديمية عبر الإنترنت وتوفر فرصة رائعة للتعلم والتفكير في التحديات المستمرة التي تواجه النظم الإحصائية في العالم العربي والتعرف على أحدث المعايير الإحصائية الدولية التي تعتبر ضرورية لتعزيز العمل اللائق في البلاد العربية.

Target Audience: يشمل الجمهور المستهدف للأكاديمية: • إحصائيو العمل من المكاتب الإحصائية الوطنية. وزارات العمل والمؤسسات ذات الصلة (مثل مراصد المختبرات) ؛ الوزارات أو المؤسسات الحكومية الأخرى المسؤولة عن الرصد الإحصائي لأهداف التنمية المستدامة ، والشركاء الاجتماعيين لمنظمة العمل الدولية، • محللو سياسات التوظيف والتنمية من مكاتب الإحصاء الوطنية، والمؤسسات البحثية والأكاديمية، والمنظمات الدولية، والمنظمات المانحة، • الموظفون المسؤولون عن إدارة إنتاج ونشر إحصاءات سوق العمل، ولا سيما التقارير الوطنية الخاصة بأهداف التنمية المستدامة، • الموظفون المسؤولون عن تحليل إحصاءات سوق العمل وإصدار تقارير تحليلية للمساعدة في صنع السياسات القائمة على الأدلة.

Organizer(s): AITRS

19 Jun 2023 – 22 Jun 2023

Source: AITRS (Data extracted on: 07 Dec 2023 )

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Title in Arabic: ادارة الجودة الشاملة والتميز المؤسسي في العمل الإحصائي

Organizer(s): AITRS

12 Jun 2023 – 21 Jul 2023

Source: ILO ITC (Data extracted on: 02 Nov 2022 )

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Organizer(s): ILO ITC ILO

Description: Improving the knowledge base in the area of labour statistics, particularly labour migration statistics, will contribute to a better understanding of the underlying causes of poverty and social exclusion. Accurate, robust and timely data collected in accordance with international standards is therefore necessary for devising effective labour migration policies, which are essential for improving the welfare of international migrant workers and addressing the challenges related to international labour migration, globally and at the national level. Finally, in order to assess the coherence of employment and labour-migration policies, and identify where current and potential challenges remain, there is a need to collect and analyse appropriate quantitative and qualitative information in a systematic way. The International Training Centre of the ILO (ITCILO), in partnership with the ILO Department of Statistics and the Labour Migration Branch of the International Labour Organization, is therefore proud to present the second edition of its E-Learning Course on Measuring and Analyzing Labour Migration. The aim of the course is "to equip national and international stakeholders with the necessary capacities to better measure and analye international labour migration and produce timely, high-quality, up-to-date international labour migration statistics, to report on the critical indicators of labour migration statistics based on the implementation of international statistical standards and guidelines for evidence-based policymaking.

Target Audience: National statistical offices (NSOs); ministries of labour and related Institutions (such as labour observatories); ministries of manpower and migration; ministries responsible for nationals living abroad; ministries of foreign and home affairs; governmental agencies responsible for labour-market data analysis and national SDG reporting; governmental agencies responsible for labour migration, and analysis of migrant workers; research and academic institutions; international organizations; regional economic communities (RECs); development agencies; non-governmental organizations.

Course Language: English

Topics:

12 Jun 2023 – 12 Jun 2023

Source: UNSD (Data extracted on: 20 Mar 2024 )

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05 Jun 2023 – 07 Jun 2023

Source: AITRS (Data extracted on: 07 Dec 2023 )

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Title in Arabic: تطوير التشريعات وتطوير النظم الإحصائية

Organizer(s): AITRS

Description: يرتكز العمل الاحصائي على تشريعات إحصائية تنظم آليات جمع ومعالجة ونشر البيانات، وعلى ضوء تطور المنهجيات ووسائل العمل الاحصائي اعتمادا على التكنولوجيا الحديثة، فان تحديث التشريعات الإحصائية وتطويرها مواكبة لهذه المستجدات أصبح من أولويات الأجهزة الإحصائية. وعلى هذا الأساس وتماشيا مع خطة عمل المعهد العربي للتدريب لسنتي 2023-2024، ستنظم دورة تدريبية عن بعد حول تطوير التشريعات الإحصائية لتبادل التجارب بين المشاركين وأفضل الممارسات في مجال تحديث الأطر القانونية وتأطير التعاون المؤسسي بين القطاع العام والخاص واعتماد مصادر متجددة للبيانات على غرار البيانات الضخمة. تتمثل أهداف الورشة بالأساس في إعطاء المشاركين لمحة عن المبادئ الأساسية للإحصاءات الرسمية للأمم المتحدة التي وقع اعتمادها بقرار من الجمعية العامة سنة 2014 والتي تعتبر أساسا يعتمد عليه عند اعداد التشريعات الإحصائية وكذلك العناصر الأساسية للقانون العام للإحصاءات الرسمية مع عرض لبعض الممارسات الجيدة في الدول العربية.

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Event URL: Event Page