Haishan Fu is Chief Statistician of the World Bank and Director of the World Bank’s Development Data Group. In these capacities, Haishan leads and coordinates the development, standard-setting, and implementation of the World Bank’s development data agenda. This includes oversight of key data public goods, such as the World Development Indicators, the Statistical Performance Indicators, the Living Standards Measurement Study, the International Comparison Program, the Debtor Reporting System, the World Bank’s Development Data Hub, Open Data catalogue, Microdata Library, WITS, Specialized Data Management Services (DataBank), API Services, Survey Solutions, the Development Data Partnership, and the World Bank Data Blog. Haishan likewise provides leadership and guidance on operational data and statistics issues at country, regional, and global levels. She serves as Co-Secretary of the World Bank’s data governance architecture, and co-chairs the Bank’s Data for Countries and Global Priorities working group. She oversees the World Bank-hosted Global Data Facility, the World Bank’s trust fund mechanism designed to support data and statistics capacity building, institutional strengthening, and innovations.
Haishan has been an active leader in the global statistical community, having served or currently serving as a member of the UN Secretary General’s Independent Expert Advisory Group on Data Revolution for Sustainable Development; a Council Member of the International Statistical Institute; and Co-Chair of the Committee for the Coordination of Statistical Activities among over 45 UN and other international development agencies, among others. Prior to joining the World Bank in 2014, Haishan was Director of the Statistics Division at UNESCAP, served as the first Chief of Statistics of UNDP’s Human Development Report, and worked as Senior Research Associate at the Guttmacher Institute and Post-Doctoral Fellow at the University of Pennsylvania. Haishan holds a Ph.D. in Demography from Princeton University and a B.A. in Economics from Peking University.