Rod Little is Richard D. Remington Distinguished University Professor of Biostatistics Emeritus at the University of Michigan, where he also holds emeritus appointments in the Department of Statistics and the Institute for Social Research. From 2010-2012 he was the inaugural Associate Director for Research and Methodology and Chief Scientist at the U.S. Census Bureau.
The ISI Academy organises workshops designed to provide concentrated and interactive engagement on specialised topics in statistics, data science, leadership, and institutional development.
Building on the ISI’s longstanding experience, workshops have addressed both advanced statistical methodologies and high-level institutional themes such as leadership, governance, and innovation in statistical systems.
In partnership with the Food and Agriculture Organization of the United Nations (FAO), the ISI Academy is developing a comprehensive training programme to strengthen quality assurance in official statistics.
Aligned with FAO’s Statistics and Data Quality Assurance Framework (SDQAF), the initiative supports consistent standards and enhanced data quality across FAO’s statistical activities. The programme is designed for FAO staff engaged in statistical production and data management.
Objectives
The project aims to:
Funded by the International Statistical Study Fund Foundation (SISSF), the ISI Academy supports the establishment and strengthening of National Statistical Associations in Africa, beginning with Burundi.
The ISI Academy designs and delivers the courses to strengthen professional skills in statistics and data science. Bringing together expertise from across the ISI network and its Associations, the ISI Academy provides high-quality learning opportunities tailored to evolving global needs.
Trainings are developed to support capacity development at international, regional, and national levels.
Objectives
The ISI Academy’s courses aim to:
The ISI Academy organises interactive webinars that bring together international experts, practitioners, and members of the statistical community to discuss current developments in statistics and data science.
These online sessions provide accessible opportunities for knowledge sharing, professional dialogue, and cross-sector exchange. Webinars complement the ISI Academy’s structured training programmes by offering flexible and timely learning opportunities.
Objectives
The ISI Academy’s webinars aim to: