Global Calendar of Statistical Events

Organizer(s): IMF

Description: The 12th Statistical Forum of the International Monetary Fund (IMF) will take place in hybrid format (in person and virtually) in Washington, D.C. from November 20 to 21, 2024. The Forum is a platform for policymakers, researchers, the private sector, regulators, and compilers of economic and financial data to come together to discuss cutting edge issues in macroeconomic and financial statistics and to build support for statistical improvements. The theme of this year’s Statistical Forum is Measuring the Implications of Artificial Intelligence (AI) on the Economy. The increased use of AI presents both opportunities and challenges, with significant economic and societal implications. However, the impact of AI on the economy and society remains an evolving field of study. To understand these implications, governments, businesses, individuals require robust and comparable statistics. The 12th Statistical Forum will explore (i) the transformative potential of AI and where its impact will most likely be felt over the short to medium term, (ii) the impact of AI on jobs and productivity, (iii) the distributional implications of AI, (iv) how AI is being used by firms (including statistical agencies) and regulated by governments, and (v) some early attempts to produce official measures of the “AI industry”, “AI investment”, and the “use of AI”. The Forum will provide participants with an opportunity to share experiences and build on topics of mutual interest through presentations and panel discussions.

Topics: Data science (CSA 607)

Event URL: Event Page

Organizer(s): IMF

Description: The 11th Statistical Forum of the International Monetary Fund (IMF) will take place in hybrid format (in person and virtually) in Washington, D.C. during November 15 to 16, 2023. The Forum is a platform for policymakers, researchers, the private sector, regulators, and compilers of economic and financial data to come together to discuss cutting edge issues in macroeconomic and financial statistics and to build support for statistical improvements. The theme of this year’s Statistical Forum is Measuring Money in the Digital Age. Digitalization is pervasive. It has impacted all aspects of life – money is no exception. There are daily accounts of the rise and fall of digital currencies, stable coins and other types of crypto assets, however there is little formal “accounting” of these new forms of money. Digitalization is also changing the way individuals and businesses interact with the financial system. As digitalization continues to impact the future of money and the exchange of value, effective policy and regulation are needed to ensure a stable and equitable financial system. The Forum will explore (i) the new forms of money and payments, (ii) the implication for financial stability and monetary policy, (iii) the impact on financial inclusion and illicit financial flows, and (iv) how we can better measure the new forms of money and payments to support policymaking. The Forum focuses on a discussion track, where participants will have the opportunity to share experiences, and build on topics of mutual interest through presentations and panel discussions.

Topics: Banking, insurance and financial market statistics (CSA 20306)

Event URL: Event Page

Organizer(s): World Bank

Description: Advancing the World Bank’s twin goals of ending extreme poverty and boosting shared prosperity requires knowing who the poor are and where they live. By reaching the most granular levels of geographic aggregation, policymakers can significantly improve outcomes for the world’s poorest. However, survey data alone is not sufficient for targeting at the lowest levels. This is where small area estimation becomes necessary. The publication of Guidelines to Small Area Estimation for Poverty Mapping caps more than two decades of poverty mapping experience at the World Bank since the launch of an innovative method combining census and survey data to study the spatial dimensions of poverty. The guidelines build upon the lessons learned from experience and seek to guide readers on the best methods available for a variety of data landscapes.

Topics: Living conditions, poverty (CSA 505) Regional and small area statistics (CSA 507)

Event URL: Event Page

Organizer(s): IMF

Description: The 10th Statistical Forum of the International Monetary Fund will take place virtually and in person in Washington, D.C. during November 16 to 17, 2022. The Forum is a platform for policymakers, researchers, the private sector, regulators, and compilers of economic and financial data to come together to discuss cutting edge issues in macroeconomic and financial statistics and to build support for statistical improvements. The theme of this year’s Statistical Forum is Measuring the Tangible Benefits of Intangible Capital. In our increasingly dematerialized world intangible assets are transforming economies and driving growth. As a result, an increasing share of output, jobs, income and wealth is associated with firms where traditional tangible assets have been crowded out by intangible assets, such as marketing assets, data, and organizational capital. Yet conventional business accounting and macroeconomic accounting methods have lagged behind in valuing these forms of capital. Furthermore, the mobility of intangible assets and firms’ strategies to take advantage of worldwide tax minimization while maximizing overall profits implies growing tension between the nature and location of economic activity and its measurement system. The aim of the 10th IMF Statistical Forum is to explore how we can better measure intangible capital to better support investment policy, taxation policy and macroeconomic analysis.

Topics: Economic statistics (CSA 2)

Event URL: Event Page

Organizer(s): World Bank KDI School of Public Policy and Management Korea

Description: The World Bank’s anticorruption program has been helping to strengthen transparency and make better use of the growing availability of data to develop a stronger evidence base for anticorruption. The goal is to bring high-definition transparency to policy reform with insights that reflect the nature of corruption problems and their impacts across different levels of government, sectors, and contexts. A Symposium on Data Analytics and Anticorruption will be co-hosted by the World Bank and the Korea Development Institute School of Public Policy and Management on October 25-28. The four-day event was launched last year with a Call for Papers, 26 of which were selected for the Symposium. The papers cover four thematic areas: New data-driven approaches to detecting and measuring corruption; Using new data sources and methods to measure the impacts of corruption; Using open data to assess the effectiveness of anticorruption tools, policies, and interventions; Contributing new knowledge on data access, quality, and privacy issues. The Symposium will bring together researchers working to advance anticorruption data analytics to help inform more effective policies and actions by governments for greater accountability in public administration.

Topics: Government finance statistics (CSA 20103)

Event URL: Event Page

Organizer(s): UNSD

Description: The Expert Group Meeting will bring together about 100 participants from international agencies, governments, and the private sector. The meeting will contribute to the evolution of the SDMX standard, in particular the ongoing development of SDMX 3.0. The event will feature a capacity-building session as well as side events including meetings of the various thematic Working Groups.

Topics: Metadata (CSA 601) Data exchange and data sharing (CSA 605)

Event URL: Event Page