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)

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

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In this month’s episode of the Harvard Data Science Review Podcast, we explore a timeless yet increasingly urgent question: What does it mean to flourish as a human being in an age of artificial intel...

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This month on the Harvard Data Science Review Podcast, we explore the data behind modern dating. With millions of swipes happening daily, dating apps promise compatibility through algorithms—but do th...

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Agentic AI is moving beyond assistive tools toward systems that can reason, plan, and act within complex workflows. In the latest episode of the Harvard Data Science Review Podcast,  we speak with Dir...

29 Jan 27min

Digital Twins and Virtual Twins: What Are They and What Do They Do for Humans?

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In this month’s episode of the Harvard Data Science Review Podcast, we explore the rapidly evolving concept of digital twins—dynamic, data-driven replicas of complex systems—and their growing influenc...

23 Dec 202538min

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Fine wine meets data science in this month’s episode of the Harvard Data Science Review Podcast. Hosts Liberty Vittert Capito and Xiao-Li Meng explore how data, taste, and technology intertwine with E...

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