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Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 1)

Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 1)

FromHarvard Data Science Review Podcast


Differential Privacy for the 2020 U.S. Census: Can We Make Data Both Private and Useful? (Part 1)

FromHarvard Data Science Review Podcast

ratings:
Length:
31 minutes
Released:
Jul 29, 2022
Format:
Podcast episode

Description

While most Americans have heard of the U.S. Census and understand that it is designed to count every resident in the United States every 10 years, many may not realize that the Census’s role goes far beyond the allocation of seats in Congress. 
For this episode, we invited the three co-editors of Harvard Data Science Review’s special issue on the U.S. Census to help us explore what the Census is, what it’s used for, and how the data it collects should remain both private and useful.  
Our guests are:
Erica Groshen, former Commissioner of Labor Statistics and Head of the U.S. Bureau of Labor Statistics
Ruobin Gong, Assistant Professor of Statistics at Rutgers University
Salil Vadhan, Professor of Computer Science and Applied Mathematics at Harvard University

 
Released:
Jul 29, 2022
Format:
Podcast episode

Titles in the series (39)

Brought to you by the award winning journal, Harvard Data Science Review, our podcast highlights news, policy, and business through the lens of data science. Each episode is a “case study” into how data is used to lead, mislead, manipulate, and inform the important decisions facing us today.