Calender_2025

Tantative SIAP calender for meeting and training Programmes 

(1 January to 31 December 2025)

Titlestart dateend datedescriptionorganizer(s)event venue
Regional Training Course on harnessing gender data for SDG monitoring, policy making and action21 July 202524 July 2025Gender equality is a fundamental principle embedded within the framework of the Sustainable Development Goals (SDGs). It is not only a standalone goal (SDG 5: Achieve 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 quality, timely, comparable, and 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 gaps, informing 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. However, challenges remain regarding the uptake of gender data either linked to gender data accessibility (openness, dissemination 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) Index, multiple countries in Asia could improve in this regard. In the Pacific, GDO data are not available for most countries.		SPC, SIAP, UN WomenRegional TrainingSeoul, Republic of Korea
Regional Training Workshop on SEEA Asset Accounts for Sustainable Development16 June 202519 June 2025

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 Policy, the 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 Chiba, Japan 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 lectures, exercises, and 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 mechanisms, data governance, data sources and dissemination approaches will also be introduced. Furthermore, participants will have an opportunity to learn about the update process of the SEEA Central Framework. For additional information on the workshop, please see the concept note and provisional agenda attached.

UNSD, SIAPRegional TrainingChiba, Japan
ENHANCING STATISTICAL LEADERSHIP FOR HEADS OF NATIONAL STATISTICAL OFFICES (NSOs) IN ASIA and the PACIFIC28 May 202530 May 2025With the increased and evolving demand for data from national development plans, Agenda 2030 for sustainable development goals, the current and post crisis affecting the World, including 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 developing, transforming and coordinating national statistical systems (NSS) as well as engaging with the larger data ecosystem to fit for purpose.PARIS21, SIAPREGIONAL TRAINING WORKSHOPChiba, Japan
Regional Training Workshop on Measuring Energy for Sustainable Development13 May 202516 May 2025Climate 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 addition, households and businesses are faced with frequent price shocks in many energy commodities. High quality, consistent data on energy is critically needed to inform effective pathways for addressing issues around energy use and availability, climate 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 statistics, energy balances and energy accounts. However, there 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.UNSD, SIAPREGIONAL TRAINING WORKSHOPChiba, Japan
Principles of Reproducible Analytical Pipelines for Official Statistics17 February 202514 March 2025This 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
Disaster related statistics framework3 March 20257 April 2025
 		Disasters continue to have an ever-increasing impact on life, well-being and sustainable development. Given these impacts, there is a high demand at the local, national and international levels for high quality, integrated statistics to inform all phases of the disaster risk management cycle. Furthermore, disaster related statistics are not only relevant to those working to prepare and respond to disasters but also to the public at large, research institutions and policy analysts at the local and national levels. In response to the increased demands for disaster related statistics, the disaster management and official statistics communities in Asia-Pacific have developed the Disaster-related Statistics Framework (DRSF).
The DRSF aims to improve countries capacities to produce high quality, integrated statistics on disasters; and it is the basis for this course. During the course participants will learn about the importance of harmonized data and its relevance to policy making at the national and global level. Other topics covered include statistics on disaster risk, disaster occurrence and impacts, and economic losses. Further details on course content follow below. Please note that a course on disaster related statistics was last held in 2023; this is an updated course and those who participated in the 2023 course are welcomed to join.		SIAPE-learningonline
Using administrative data to produce official statistics20 January 202521 February 2025National statistical systems are increasingly using administrative data to compile official statistics. Such data can be utilized to better meet the increasing demands for new statistics and indicators that are highly disaggregated. Administrative data is not collected for the primary purpose of compiling official statistics, and statisticians need to ensure that the data meets certain criteria before using it to produce official statistics. This course provides an overview of administrative data, a discussion of data quality issues and institutional mechanisms to ensure that administrative data can be used in the production of official statistics. The course builds upon content developed for in-person training courses conducted by UNSD and to which members of the Collaborative on Administrative Data have provided valuable input.UNSD, SIAPE-learningonline
Regional Course on Consumer Price Index Compilation Methods20 January 202524 January 2025CPIs 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 countries, they were originally introduced to provide a measure of the changes in the living costs faced by workers, so that wage increases could be related to changing levels of prices. However, over the years, CPIs have widened their scope and now are widely used as a macroeconomic indicator of inflation, as a tool by governments and central banks for monetary policy and for monitoring price stability, and as deflators in the national accounts. With the globalization of trade and production and the liberalization of the markets, national governments, central banks, and international organizations place great importance on the quality and accuracy of national CPIs, and their international comparability.IMF STA, SIAPReginal TrainingChiba, Japan