Source: ESCAP SIAP (Data extracted on: 05 May 2025 )
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Organizer(s): UNSD ESCAP SIAP
Description: The United Nations Statistics Division (UNSD) and the United Nations Statistical Institute for Asia and the Pacific (UNSIAP)with the support of the Office of the Director-General for Policy Planning on Statistical Policythe Ministry of Internal Affairs and Communications of the Government of Japan are organizing a Regional Training Workshop on SEEA Asset Accounts for Sustainable Development. The workshop will be held in ChibaJapan from 16-19 June. The workshop will be conducted in English.The regional workshop is an opportunity for participants to increase their technical knowledge of the System of Environmental-Economic Accounting (SEEA) through lecturesexercisesand sharing country examples. Participants will learn about the SEEA framework and in particular the conceptual and compilation aspects for the SEEA asset accounts in physical and monetary terms. They will also learn about the relevance of the SEEA for evidence-based decision making and in monitoring national policies and international agreements including the Sustainable Development Goals. Institutional mechanismsdata governancedata sources and dissemination approaches will also be introduced. Furthermoreparticipants will have an opportunity to learn about the update process of the SEEA Central Framework. For additional information on the workshopplease see the concept note and provisional agenda attached.
Source: ESCAP SIAP (Data extracted on: 21 Feb 2025 )
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Organizer(s): Paris21 ESCAP SIAP
Description: With the increased and evolving demand for data from national development plansAgenda 2030 for sustainable development goalsthe current and post crisis affecting the Worldincluding climate change; as well as the opportunity available with the new technology including the use of Artificial Intelligence (AI) for the modernisation and digital transformation of national data ecosystems; National statistical offices (NSOs) continue to be at the forefront of developingtransforming and coordinating national statistical systems (NSS) as well as engaging with the larger data ecosystem to fit for purpose.
Source: ESCAP SIAP (Data extracted on: 01 Apr 2025 )
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Organizer(s): UNSD ESCAP SIAP
Description: Climate change is one of the most pressing issues in the Asia-Pacific region. Yet emissions from fuel combustion in the region (and globally) continue to trend upwards due to increased demand for energy. In additionhouseholds and businesses are faced with frequent price shocks in many energy commodities. High qualityconsistent data on energy is critically needed to inform effective pathways for addressing issues around energy use and availabilityclimate change mitigation and just energy transitions. National statistical offices (NSOs) and ministries of energy of countries in the region have responded to these needs by compiling basic energy statisticsenergy balances and energy accounts. Howeverthere continues to be a need to strengthen the capacities of NSOs and ministries of energy to produce and disseminate energy information to better meet the needs of users for high quality integrated data on energy and its relationship to the broader economy and climate change.
Source: ESCAP SIAP (Data extracted on: 21 Feb 2025 )
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Organizer(s): IMF ESCAP SIAP
Description: CPIs measure changes over time in the general level of prices of goods and services that households acquire (use or pay for) for the purpose of consumption. In many countriesthey were originally introduced to provide a measure of the changes in the living costs faced by workersso that wage increases could be related to changing levels of prices. Howeverover the yearsCPIs have widened their scope and now are widely used as a macroeconomic indicator of inflationas a tool by governments and central banks for monetary policy and for monitoring price stabilityand as deflators in the national accounts. With the globalization of trade and production and the liberalization of the marketsnational governmentscentral banksand international organizations place great importance on the quality and accuracy of national CPIsand their international comparability.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP UN-WOMEN
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. 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 and SDGs with new data sources.The course Big DataInnovative Methods and Applications for Achieving organized by the United Nations Statistical Institute for Asia and Pacific (UNSIAP)with the contribution of the UN Women Centre of Excellence for Gender Equality (SeoulKorea) will be conducted from 21 to 25 October 2024in ChibaJapan.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP ILO
Description: The causes and consequences of informal employment and employment in informal sector and their impact on achieving sustainable development continues to gain attention in national development agendas. The evidence in developing and emerging economies shows that on average the proportions of people in informal employment ranges from close to two thirds in emerging economies to nearly 90% in low-income countries. Thereforeevery national policy targeting povertysocial protectionor decent work needs to recognise the role of the informal economy in national development. Yetthe lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies. This regional training course brings together statisticians and labour analysts from Asia-Pacific national statistical systems to discuss technical aspects and share experiences in the production and use of statistics on informality.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP UNODC-KOSTAT UN-WOMEN
Description: This regional training introduces crime statistics from a gender perspective to produce reliable indicators to monitor the relevant SDGs (SDGs 5 and 16). The training provides an opportunity for participants to learn about gender concepts and frameworks on SDG indicators relevant to crime and criminal justice statistics including gender-based SDG targetswith the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statisticsto inform policy decisions at national and international levels.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP UNSD
Description: Statistical Business Registers (SBRs) are often described as the backbone of economic statisticsas they provide the core infrastructure to support the collection of economic data and the production of economic statistics. They provide a coherent set of units and classifications to collect and compile data across all domainsand a consistent set of rules to maintain this set of units over time. SBRs are considered as the backbone for producing economic statistics that meet the increasing demand for better integratedcoherent and comparable statistics across countries and statistical domains. Inclusive and exhaustive SBRs are becoming an increasingly more important element of the statistical infrastructure for maintaining the relevanceresponsiveness and quality of economic statistics in order to measure the structure and dynamics of economic activity.
Source: ESCAP SIAP (Data extracted on: 27 Nov 2024 )
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Organizer(s): ESCAP SIAP IMF
Description: The Statistics Department (STA) of the International Monetary Fund (IMF)is implementing the “Environment and Climate Change Statistics Capacity Development Program”supported by the State Economic Cooperation (SECO). The program is oriented towards assisting beneficiary countries in the development and dissemination of indicators most relevant to their policy needs. Accordinglytechnical assistance will focus on developing one or two indicators that reflect the most urgent data needs of the targeted countries; and encompass the use of internationally agreed methodology or testing methodology underdevelopment. The program will build capacity in the project countries to compile select indicators through the organization of workshopstrainingsand targeted hands-on technical assistance.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP IMF STA
Description: CPIs measure changes over time in the general level of prices of goods and services that households acquire (use or pay for) for the purpose of consumption. In many countriesthey were originally introduced to provide a measure of the changes in the living costs faced by workersso that wage increases could be related to changing levels of prices. Howeverover the yearsCPIs have widened their scope and now are widely used as a macroeconomic indicator of inflationas a tool by governments and central banks for monetary policy and for monitoring price stabilityand as deflators in the national accounts. With the globalization of trade and production and the liberalization of the marketsnational governmentscentral banksand international organizations place great importance on the quality and accuracy of national CPIsand their international comparability.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP Paris21
Description: With the increased and evolving demand for data from national development plansAgenda 2030 for sustainable development goalsthe current and post crisis affecting the Worldincluding COVID-19 and climate change; National statistical offices (NSOs) continue to be at the forefront of developing and coordinating national statistical systems (NSS) as well as engaging with the larger data ecosystem. National statistical systems (NSS) in low and middle-income countries need to innovate and adapt quickly not only in terms of data productionbut also in more effectively re-usinganalysingdisseminating and communicating other existing sources of development data. The development of strong leadership and management skills at both senior- and mid - levels is key to ensure NSOs are positioned to drive change and operate in modern and dynamic data ecosystems. In this contextenhancing leadership skills of leaders of NSO through targeted trainings is an important strategy to position the NSO/NSS to respond to emerging data needsstrengthen institutional reputationand build trust among citizens.
