A Rutgers University workshop on April 28-29, 2022 (online and in New Jersey) aims to bring together research experts from many domains of social sciences, demography, public policy, statistics, and computer science to address key challenges in the use of the differentially private Census noisy measurement files to support social research and policy decisions.
“With the implementation of differential privacy, Census data consumers need implementable tools to carry out analyses in the presence of noise introduced to protect privacy. Additionally, privacy researchers in statistics, computer science, and the quantitative social sciences need to understand the practical hurdles faced by data users.”
Details and registration (by noon on April 25): http://dimacs.rutgers.edu/events/details?eID=2038
The event is sponsored by the Rutgers University Statistics Department and Center for Discrete Mathematics and Theoretical Computer Science (DIMACS).