Jeremy Seeman
Jeremy Seeman is an adjunct professor at the Inter-University Consortium for Political and Social Research (ICPSR) at the University of Michigan. Jeremy’s research identifies and addresses translational issues in technological solutions for data governance, with a focus on privacy-enhancing technologies for government and non-profit data sharing. His research methods and tools have been used by federal, state, and local government agencies, such as the U.S. Census Bureau, the National Science Foundation, the Internal Revenue Service, and the National Agricultural Statistics Service.