Calender_2024

Tantative SIAP calender for meeting and training Programmes 

(1 January to 31 December 2024)

Titlestart dateend datedescriptionorganizer(s)event venue
Webinars on Macroeconomic Statistics Framework23 January 202425 January 2024The United Nations System of National Accounts (2008 SNA) manual represents the flagship of international economic accounting standards across all macroeconomic statistics disciplines. In fact, the Macroeconomic statistics are expressed in terms of a set of concepts, definitions, classifications, and accounting rules that comprise the internationally agreed-upon standard for measuring different areas of economic statistics.ESCAP-SD SIAPWorkshoponline
Training Workshop on Compiling Energy and Air Emission Accounts05 February 202415 February 2024The 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. Accordingly, technical 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 workshops, trainings, and targeted hands-on technical assistance.IMF STA, SIAPWorkshopChiba , Japan
Webinar on the Management of Statistics Capacity Building in the Pacific21 February 202421 February 2024Pacific Community (SPC) has started an initiative to explore and identify the unmet needs for statistics in the Pacific region and undertook the region-wise comprehensive needs assessment. This needs assessment work will contribute to the development of the regional Capacity Development Framework, which is aimed to identify the needs and the appropriate capacity development modalities at three levels: system, institutional/organisational, and individual - more information can be found in a working paper aimed to highlight main features of the framework. The webinar is aimed at streamlining the statistical capacity development in the Pacific by making informed decisions and identifying systemic areas to focus on in the coming years.SIAP, SPCWebinarOnline
Webinar on Measuring Digital Trade06 March 202406 March 2024This webinar will provide the participants with a clear understanding of the importance of measuring digital trade, and the conceptual framework for measuring digital trade whilst focusing on the fundamental concepts and statistical definitions. A variety of examples and practical applications will be shared by country representatives. The webinar will also emphasize the importance of digital trade statistics in evidence-based policy making.SIAPWebinarOnline
Introduction to the System of Environmental Economic Accounting (SEEA): Central Framework04 March 202412 April 2024This course introduces the SEEA Central Framework, the international statistical standards for measuring the interactions between the environment and the economy. It is comprised of 5 modules. The first module introduces the SEEA. Modules 2 discusses accounting for physical flows while module 3 discusses accounting for environmental assets. The fourth module contains details on environmental activity accounts, combined presentations and indicators. The last module contains an overview of subsystems, applications and extensions.SIAPe-LearningOnline
Regional Course on Statistical Business Registers11 March 202414 March 2024Statistical Business Registers (SBRs) are often described as the backbone of economic statistics, as 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 domains, and 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 integrated, coherent 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 relevance, responsiveness and quality of economic statistics in order to measure the structure and dynamics of economic activity.  SIAP, UNSDe-Learning, Regional TrainingChiba , Japan
Webinar on BPM7 and 2025 SNA26 March 202404 April 2024PM7 and 2025 SNA webinars will be conducted March 26 – 27 (Group 1-Asia) and April 3-4 (Group 2-Pacific).SIAPWebinar 
The International Recommendations on Refugee, IDP and Statelessness Statistics01 April 202424 May 2024The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent years, with UNHCR estimating over 108.4 million forcibly displaced persons in 2022. Similarly, the issue of statelessness continues to persist in society, with 4.4 million people currently estimated to be stateless. This course introduces the “International Recommendations on Refugee Statistics” (IRRS), the “International Recommendations on IDP Statistics” (IRIS) and the “International Recommendations on Statelessness Statistics” (IROSS). These sets of recommendations were endorsed by the United Nations Statistical Commission in 2018 (IRRS), 2020 (IRIS) and 2023 (IROSS), respectively. The course is spread over six substantive modules and provides details on the statistical framework for compiling refugee, IDP and stateless persons statistics. It introduces concepts, definitions, classifications and methodologies relevant to collecting, compiling, analyzing and disseminating data and indicators on refugees, IDPs and stateless persons, 2 including Sustainable Development Goal (SDG) indicators. The course also includes information on data sources, institutional mechanisms, and coordination.EGRISS SIAP UNSDe-LearningOnline
Principles of Reproducible Analytical Pipelines for Official Statistics6 May 202431 May 2024This e-learning course aims to build capacity in national statistical systems for the development and implementation of Reproducible Analytical Pipelines (RAPs) for Official Statistics.
What is a Reproducible Analytical Pipeline?
Simply put, reproducible analytical pipelines (RAPs) are automated statistical processes (data processing and analysis) that codify to the greatest extent possible the production of official statistics. Common tools that are used to develop RAP include software such as R or Python, and version control management tools such as Git.
Reproducibility is at the heart of the approach. It implies that the outputs can be generated again with any new or revised input datasets using the RAP developed. This also implies drafting documents explaining the RAP that make it possible to build institutional knowledge and use the RAP in the future by new staff. 
 
SIAPe-LearningOnline
Sub-Regional Training Workshop on Climate Change Statistics and Indicators3 June 20247 June 2024Climate change is one of the most pressing issues in the Pacific region. Many countries are already experiencing intensifying threats such as rising sea levels, increasing ocean acidification, and escalating extreme weather events, profoundly impacting the region's economy, society, and environment. There is a need to address the well-being of people through good evidence-based policy. Reliable statistics and indicators on the impact of climate change are vital to enable evidence-based policy, decision-making, planning and investment. Importantly, these statistics and indicators must be able to speak to the range of economic, social and environmental impacts of climate change in a timely manner. This workshop aims to support capacity building and knowledge sharing across this topic in the region.SIAP, SPCSub-Regional TrainingPort Vila ,Vanuatu
Sub-Regional Training Workshop on Climate Change Statistics and Indicators17 June 202421 June 2024Climate change is one of the most pressing issues in the Pacific region. Many countries are already experiencing intensifying threats such as rising sea levels, increasing ocean acidification, and escalating extreme weather events, profoundly impacting the region's economy, society, and environment. There is a need to address the well-being of people through good evidence-based policy. Reliable statistics and indicators on the impact of climate change are vital to enable evidence-based policy, decision-making, planning and investment. Importantly, these statistics and indicators must be able to speak to the range of economic, social and environmental impacts of climate change in a timely manner. This workshop aims to support capacity building and knowledge sharing across this topic in the region.SIAP, SPCSub-Regional TrainingGuam
Regional Training on Crime Statistics from a Gender Perspectives03 Sep 202406 Sep 2024This 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 targets, with the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statistics, to inform policy decisions at national and international levels.SIAP, UNODC-KOSTAT, UN-WOMENRegional TrainingChiba, Japan
Regional Training on Enhancing Statistical Leadership For Heads Of National Statistical Offices (NSOs) In Asia And The Pacific04 Sep 202406 Sep 2024This training will provide NSO heads with leadership skills to improve their effectiveness through greater awareness of their strengths and weaknesses and the challenges they face both internally within their organization and externally within the larger environment they are engaging with. Often, NSO heads rarely have the opportunity to receive extensive feedback from staff and stakeholders outside. It is necessary to have to open opportunity and understanding to build a comprehensive plan for driving success within the NSO and the NSS, and by extension the data ecosystem.SIAP, PARIS21, Government of MongoliaRegional TrainingUlaanbaatar, Mongolia
Training Workshop on Quality of Statistics for Sustainable Development Goals (SDGs) for the Asia-Pacific Region23 Sep 202425 Sep 2024Quality data are vital for enabling governments, international organizations, civil society, private sector and the general public to make informed decisions and to ensure the accountability of representative bodies. Effective planning, follow-up and review of the implementation of the 2030 Agenda for Sustainable Development requires the collection, processing, analysis and dissemination of an unprecedented amount of data and statistics at local, national, regional and global levels and by multiple stakeholders.SIAP, ESCAP-SD, Government of MongoliaRegional TrainingUlaanbaatar, Mongolia
Big Data: Innovative Methods and Applications for Achieving SDG21 Oct 202425 Oct 2024

The achievement of the Sustainable Development Goals (SDGs) requires the availability of high-quality, timely and reliable data to produce the relevant SDG indicators and other statistics, disaggregated as relevant. To meet this need, official statistics must modernize and incorporate new data sources, including Big Data. At its 53rd session in 2022, the 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 experience, and 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 Data: Innovative 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 (Seoul, Korea) will be conducted from 21 to 25 October 2024, in Chiba, Japan.

SIAP, UN-WOMENSub-Regional TrainingChiba, Japan