Source: ESCAP SIAP (Data extracted on: 24 Oct 2025 )
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Organizer(s): IMF KOSTAT ESCAP SIAP
Description: Disasters continue to have an ever-increasing impact on lifewell-being and sustainable development. Given these impactsthere is high demand at the localnational and international levels for qualityintegrated statistics to inform all phases of the disaster risk management cycle. Disaster related statistics are not only relevant to those working to prepare and respond to disasters but also to the public at largeresearch institutions and policy analysts at the local and national levels. For instancenational disaster management agencies need disaggregated and georeferenced information on populationincluding vulnerable groupsas well as critical infrastructure. Similarlyministries of finance need information on climate related risks to better prepare for potential shocks to the economy.
Source: ESCAP SIAP (Data extracted on: 08 Dec 2025 )
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Organizer(s): IMF MODS ESCAP SIAP
Description: Disasters continue to have an ever-increasing impact on lifewell-being and sustainable development. Given these impactsthere is high demand at the localnational and international levels for qualityintegrated statistics to inform all phases of the disaster risk management cycle. Disaster related statistics are not only relevant to those working to prepare and respond to disasters but also to the public at largeresearch institutions and policy analysts at the local and national levels. For instancenational disaster management agencies need disaggregated and georeferenced information on populationincluding vulnerable groupsas well as critical infrastructure. Similarlyministries of finance need information on climate related risks to better prepare for potential shocks to the economy.At the global levelin 2015 countries agreed to the Sendai Framework on Disaster Risk Reduction aimed at substantially reducing disaster risk and losses. Agenda 2030 and the Sustainable Development Goals also contain several goals and targets aimed at disaster risk reduction and minimizing losses. Both frameworks have indictor frameworks to measure progress towards achieving their respective targets which in turn require the compilation of disaster related indicators based on sound statistical methodology. Given the increased data demands at the localnational and global levelthere is a need to strengthen the capacities of national statistical systems to produce and disseminate disaster related information to better meet the needs of users for high quality integrated data on risks and impacts.The workshoporganized by the United Nations Statistical Institute for Asia and the Pacific (SIAP) and the Statistics Department of the International Monetary Fund (IMF)in collaboration with Statistics Korea (KOSTAT) aims to further build capacities in the Asia and the Pacific for the compilation of disaster related information in support of national priorities as well as SDG and Sendai Framework reporting.
Source: ESCAP SIAP (Data extracted on: 24 Oct 2025 )
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Organizer(s): SPC ESCAP SIAP UN Women
Description: Gender equality is a fundamental principle embedded within the framework of the Sustainable Development Goals (SDGs). It is not only a standalone goal (SDG 5Achieve gender equality and empower all women and girls) but also a crosscutting topic that influences the achievement of the goals of the 2030 development agenda.High qualitytimelycomparableand disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets. Such data are also indispensable in identifying gapsinforming policy decisions and implementing effective interventions. Some countries in Asia and the Pacific have made substantial progress to set up enabling environments for gender data and producing related statistics. Howeverchallenges remain regarding the uptake of gender data either linked to gender data accessibility (opennessdissemination and NSO engagement with partners and stakeholders across the government and beyond) or to data literacy and documentary evidence of data use. According to the UN Women and Paris21 Gender Data Outlook (GDO) Indexmultiple countries in Asia could improve in this regard. In the PacificGDO data are not available for most countries.
Source: ESCAP SIAP (Data extracted on: 24 Oct 2025 )
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Organizer(s): MODS ESCAP SIAP UN-Women
Description: The overall objective of the week-long training is to help participants better understand the use and benefits of Big Data in the production of gender statistics. To that endthe training program will present recent development in the compilation of gender statistics as well as new methodscase studies and processes that can facilitate the integration of Big Data in this process. The training will also emphasize the limitationsconstraints and privacy issues inherent to the use of Bignon-traditional or administrative data. Please refer to the attached concept notewhich provides a more detailed description of objectivesscope and requirements for the training.
Description: This workshop is intended for government officials engaged in coordinating and preparing voluntary national reviews (VNRs) in countries conducting review at the July 2025 High-Level Political Forum on sustainable development (HLPF). The workshop will facilitate practical exchange of experiences and knowledge among countries, as well as explore specific issues and challenges related to the VNR preparations.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP KOSTAT Korea
Description: The achievement of the Sustainable Development Goals (SDGs) requires the availability of high qualitytimely and reliable data to produce the relevant SDG indicators and other statisticsdisaggregated as relevant. In order to meet this needofficial statistics must modernize and incorporate new data sourcesincluding Big Data. At its 53rd session in 2022the Statistical Commission underscored the importance of mainstreaming the use of big data and data science into the work programmes of national statistical offices and the necessity to include training in big data and data science into the training curricula of national statistical offices. This course is a first response to this injunction by sharing experienceand providing the pedagogical activities required for understanding the process leading to the production and dissemination of official statistics with new data sources.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UN Women SPC
Description: Within the framework of the Sustainable Development Goals (SDGs)gender equality is not only a standalone goal but also one of the crosscutting universal values that underpins the SDGsand a necessary precondition for achieving the goals of the 2030 development agenda. Good qualitytimelycomparableand disaggregated gender data provide the evidence needed to measure progress towards achieving the gender-related SDG goals and targets. The 2022 Sustainable Development Goals Progress Report produced by the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) shows that while there has been notable improvements in overall data vailability in Asia and the Pacific since the first benchmark report in 2017there are still significant data gaps. Notablyat the subregional levelthe report highlights a lack of sufficient data for Goal 5 (Achieve gender equality and empower all women and girls) and thus presents an incomplete picture of anticipated progress towards this goal for the Pacific. Strengthening capacities to produce and use gender statistics is central to closing the gender data gap.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP UNICEF KOSTAT Korea
Description: The United Nations Statistical Institute for Asia and Pacific (UNSIAP)together with United Nations Children’s Fund (UNICEF) and Statistics Korea (KOSTAT) will organize a regional training on education data capacity building from 15 to 19 May 2023in DaejeonRepublic of Korea. The program will focus on understanding education indicators based on household survey dataas well as administrative sources with a focus on SDG4 and other relevant SDG targets related to education such as child labour. Most of the indicatorshoweverwill come from MICS 6 datawhich should be available for all participating countries. In addition to the trainingthe capacity building activity will also serve as an opportunity for participating countries to share their experiences in terms of data useincluding both Education Management Information Systems (EMIS) and household data.
Description: Objective To delve into the development of indicator frameworks for inclusive and sustainable policies. The workshop will provide a comprehensive overview of ESCAP’s framework for policy and data integration and focus on key aspects of statistical indicators development. Moreover, the workshop will offer an opportunity for participating countries to share practical experiences. Expected Outputs Increased capacity of relevant national officials in assuring policy inclusiveness and developing a comprehensive indicator framework. All participants are expected to be engaged in the discussions and contribute towards the workshop outputs with demonstrating their national experiences. Background In 2021, ESCAP launched a project on "integrating policy and data to leave no one behind in selected countries in Asia and the Pacific," with support from the Republic of Korea. The project aims to assist countries in reviewing and developing comprehensive policy monitoring indicator frameworks that are well integrated with the four dimensions of development to leave no one behind. The workshop, jointly organized by the Republic of Korea National Statistics Office (KOSTAT) and ESCAP, is designed to (a) expand on the importance of policy and data integration through user-producer dialogue; (b) guide the process of developing national indicators, describing the characteristics of well-defined indicators; (c) introducing the tool ‘Every Policy is Connected (EPIC)’; and (d) provide participating countries with an opportunity to share their experiences. The following countries from and Asia-Pacific region are invited: Bangladesh, Brunei Darussalam, Fiji, Kyrgyzstan, Maldives, Mongolia, Palau, the Philippines, Sri Lanka, Thailand, Timor-Leste, and Viet Nam. , EPiC tool: Overview Resources Workshops
Description: The UN Statistics Division and Statistics Korea (National Statistical Office of the Republic of Korea) have co-organized every year an international seminar regarding important issues on the global statistical agenda since 2010. The seminar has covered a variety of social and economic issues from the perspective of statistics. For example, we have discussed the role of data and statistics in understanding open data and data disaggregation for reaching Sustainable Development Goals; and using big data for official statistics. As we recover from the COVID-19 pandemic, the significance of timely data using new data sources and data linkage has increased and it has provided us with new opportunities to the international statistical community for discussing the data stewardship and the data security issues.
Organizer(s): OECD Ministry of Culture, Sports and Tourism Republic Korea
Description: The OECD Global Forum on Tourism Statistics, Knowledge and Policies brings together high-level policy makers, statisticians, and leaders from the private sector and civil society to exchange ideas, views and experience on issues high on the global tourism policy agenda. The 2021 edition of the Global Forum is hosted by the Ministry of Culture, Sports and Tourism of the Republic of Korea, on the theme reshaping tourism for a more resilient and sustainable tomorrow. It will provide a unique platform to support tourism recovery and develop a common transformation agenda for the tourism economy, to move to stronger, more sustainable and inclusive models of tourism development in the future. This year’s Global Forum on Tourism will be a hybrid event, online and in-person in Seoul Korea.
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Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Description: The focus of this year's conference is on the use of Data Science for official statistics, in particular the use of artificial intelligence (AI) and machine learning. In addition to the creation of Big Data centers next to the national statistical offices (NSOs) they have started creating Data Science Campuses as R&D centers, which develop and test new methods. They also have an educational program usually in cooperation with some universities. The Conference will cover the use of AI and machine learning for official statistics. The UN Global Working Group (UN GWG) created the UN Global Platform as a collaborative environment to develop and test new data sources, methods and algorithms for the global statistical system, such as new methods to compile agricultural crop yield using satellite data, migration and tourism statistics using mobile phone data and CPI estimates using scanner data which will be discussed during the conference. Many more pilot projects can be initiated on the Platform involving not only the statistical community and related public sector but also stakeholders from private sector, academia and civil society. The Conference will also cover the topic of changing the production line to introduce new data solutions in the national statistical systems.
