Webinar series on the 2025 System of National Accounts (2025 SNA) Implementation, 03 June to 22 July 2025

The 2025 System of National Accounts (2025 SNA) was adopted by the United Nations Statistical Commission during the 56th session in March 2025. The 2025 SNA is integrated with the 7th edition of the Integrated Balance of Payments and International Investment Position Manual (BPM). Varying capacities and experiences of national statistical offices in implementing the 2008 SNA will have an impact on the smooth transition to the updated framework. The implementation challenges are accentuated especially in small island developing states and most developing countries where data collection is not frequent nor granular for the new standard breakdown and/or supplementary tables/accounts, due to an array of factors such as resource constraints amongst others....here

Regional Training Course on harnessing gender data for SDG monitoring, policy making and action, 21 to 24 July 2025

Gender 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...here

e-Learning: Machine Learning for Official Statistics and SDG Indicators, 11 August to 26 September 2025

This course introduces machine learning as a tool for using either traditional (surveys, micro data,…) or non-traditional data sources (Big Data) to produce high quality predictions for Official Statistics or Sustainable Development Goals (SDGs) indicators. The course provides an opportunity for participants to explore and comprehend the techniques of machine learning and their links with traditional statistical methods.  It aims at providing an overview of the current methods and applications of Machine Learning, through simplified theoretical concepts, pedagogical case studies and interactive resources.....here

Regional Workshop on Ecosystem Accounting in Support of the Sustainable Development Goals and Global Biodiversity Framework, 08 to 11 September 2025

The System of Environmental-Economic Accounting (SEEA) provides the agreed upon statistical framework for measuring the relationship between the environment and the economy. It is comprised of two complimentary international statistical standards: the SEEA Central Framework (SEEA CF) and the SEEA Ecosystem Accounting (SEEA EA). The SEEA CF takes a resource-based approach to measuring the supply and use of environmental resources and availability of environmental assets. The SEEA EA takes a more holistic approach in providing a spatially explicit approach to compiling accounts on ecosystems. The SEEA can be flexibly implemented by countries prioritizing accounts based on availability of information and policy priorities. The accounts are designed to respond to data needs for multiple policy initiatives including global initiative on sustainable development goals (SDGs) and the Global Biodiversity Framework (GBF).....here

Measuring Material Flows in the SDGs, 11 August to 05 September 2025

Sustainable consumption and production (SCP) and increased resource efficiency are priorities for many countries. These linked priorities are also reflected in the 2030 Agenda and the Sustainable Development Goals (SDGs) which call for sustainable management and efficient use of natural resources. Data on economy-wide material flow accounts (EW-MFA) are necessary to inform policies not only for the management of natural resources and waste, but also policies related to circular economy, resource use and ecosystems. This course focuses on economy-wide material flow accounts which are part of the System for Environmental-Economic Accounting-Central Framework (SEEA-CF)....here

e-Learning: Crime Statistics from a Gender Perspective 3.0, 18 August to 03 October 2025

This e-learning course introduces crime statistics from a gender perspective to produce reliable indicators to monitor the relevant Sustainable Development Goals (SDGs). The course offers participants an opportunity to explore 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....here

Introduction to the monetary valuation of ecosystem services and ecosystem assets, 06 October to 07 November 2025

This e-Learning course introduces concepts and methods for the valuation of ecosystem services and ecosystem assets as described in the System of Environmental- Economic Accounting -- Ecosystem Accounting (SEEA EA). The SEEA EA provides an integrated statistical framework for organizing information about ecosystems, measuring ecosystem services, tracking changes in ecosystem extent and condition, and linking this information to measures of economic and human activities. It supports the compilation of indicators for several global policy frameworks including the 2030 Agenda for Sustainable Development and the associated SDGs indicators as well as the monitoring framework of the Kunming-Montreal Global Biodiversity Framework (GBF)...here

Subregional Training on preparations for 2030 population and housing census, 13 to 17 October 2025

The population and housing census is the most comprehensive source of data on the counts and characteristics of a country's population, forming the foundation of national statistical systems. Censuses provide essential social, economic, and demographic information, serving as baseline evidence for planning, developing, implementing, and monitoring policies across various sectors and diverse user needs, including research. They are also a critical source of population data for numerous Sustainable Development Goal (SDG) indicators, aiding in the monitoring of national progress towards achieving related targets....here

Training on Big Data and Data Science for Gender Statistics in Asia and the Pacific, 27 to 30 October 2025

Closing gender data gaps is essential for achieving the Sustainable Development Goals (SDGs). Gender statistics are critical for understanding the distinct realities of women and men, girls and boys, and for informing policies aimed at addressing inequalities, but data and information gaps are often impediments to achieving this. While efforts to enhance gender data production have advanced, significant gaps still remain. 
The intersection of big data, data science, and gender statistics holds immense potential to address persistent gender data gaps by leveraging advancements in technology. With the rise of digital data sources such as social media....here

Regional Course on Statistics on Informality: Definitions, Measurement, SDGs and Other Policy Indicators, 27 to 31 October 2025

Twenty-first session of the Governing Council and Associated Events, 01 to 04 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. Therefore, every national policy targeting poverty, social protection, or decent work needs to recognise the role of the informal economy in national development. Yet, the lack of data and statistics on the informal economy hinders the capacity of countries to better inform decisions and development policies....here

Regional Workshop on Disaster Related Statistics, 27 to 31 October 2025

Disasters continue to have an ever-increasing impact on life, well-being and sustainable development. Given these impacts, there is high demand at the local, national and international levels for quality, integrated 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 large, research institutions and policy analysts at the local and national levels.....here

Regional Training Course On The National Strategy For The Development Of Statistics (NSDS), 18 to 20 November 2025

The National Strategies for the Development of Statistics (NSDSs) provide a comprehensive framework through which countries can identify, prioritise, and enhance targeted capabilities at individual, organisational, and system levels for effective, efficient, and inclusive production of official statistics. 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 NSSs, NSO leaders, and national planning senior managers to improve strategic planning for data and statistics development, as well as to adopt innovative tools and methods. This course will provide an overview of the NSDS Guidelines and the need for countries to design effective NSDSs. In addition, the course will feature special topics on Voluntary National Reviews, climate change data, Transformation and Modernisation (T&M) Enablers, with a hint on NSO Artificial Intelligence (AI) Readiness, as well as communications around NSDSs......here

SIAP E-learning System
 

SIAP offers a range of e-learning courses across the domains of social, environment and economic statistics; data science; and statistical principles and methodologies. These courses are facilitated and supported by an expert in the field to the participants through regular communication in discussion box and through webinar(s) during the period of course delivery. A certificate is issued to successful participants completing the course after passing the prescribed examination.