Noisy Data from the Noisy Census (Center for Discrete Mathematics and Theoretical Computer Science, Rutgers University)
Gary King. 2022.
"Noisy Data from the Noisy Census (Center for Discrete Mathematics and Theoretical Computer Science, Rutgers University)."
Abstract
Talk at the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy
See Also
- [Paper] Letter to US Census Bureau: 'Request for Release of 'noisy Measurements File' by September 30 Along With Redistricting Data Products' (2021)
- [Presentation] Empowering Social Science to Understand and Ameliorate Major Challenges of Human Society (Federal Interagency Conference on Social Science and Big Data) (2020)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Pew Research Center) (2025)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Stat188, Harvard University) (2024)
- [Presentation] How American Politics Ensures Electoral Accountability in Congress (Center for American Political Studies, Harvard University) (2023)
- [Presentation] How Science Works, and Some Advice (for You and for Me) (Department of Politics and International Relations, Oxford University) (2023)
- [Presentation] Solving Data Sharing Challenges Technologically through Differential Privacy (Wesleyan University) (2023)
- [Presentation] Statistically Valid Inferences from Privacy Protected Data (Washington University in St. Louis) (2023)