50 Episodes

  1. Can AI Enhance My Rizz?

    Published: 2/27/2025
  2. Wrist Deep in Data: A Conversation With WHOOP Founder Will Ahmed

    Published: 1/27/2025
  3. Artificial Intelligence or Artificial Creativity: Which Strikes the Right Chord?

    Published: 12/26/2024
  4. Data Are Born to Reveal: So What Can They Tell Us About Pregnancy?

    Published: 11/26/2024
  5. Digesting 2024 Election Polls: How the Media Reports and Decodes the Numbers

    Published: 10/29/2024
  6. If You Want to Be a Data Scientist (or a Player) for the NFL, This Is for You…

    Published: 9/27/2024
  7. I Can’t Believe I Got Hacked! What Can We Do About Cybersecurity?

    Published: 8/29/2024
  8. How Many Glasses of Wine a Day Keeps the Doctor Away?

    Published: 7/30/2024
  9. AI and Elections: A Conversation with Secretary Steve Simon of Minnesota

    Published: 6/28/2024
  10. Future Shock: Grappling With the Generative AI Revolution

    Published: 5/31/2024
  11. ChatGPT in the Classroom: Breeding More Cheaters or Better Learners?

    Published: 4/25/2024
  12. Polling for 2024 U.S. Election: What Should Voters Look for and Trust?

    Published: 3/28/2024
  13. What Does AI Buy Us or Cost Us? Views From the Financial Industry

    Published: 2/23/2024
  14. In God We Trust: Everyone Else Must Bring Data or Liberty

    Published: 1/18/2024
  15. Celebrating Holidays and Milestones of HDSR

    Published: 12/22/2023
  16. Policing the Predictive Policing: The Promises and Perils of AI Technologies

    Published: 11/30/2023
  17. Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention

    Published: 10/25/2023
  18. Out of Data Space? Explore Outer Space!

    Published: 9/28/2023
  19. What is Data Science?

    Published: 8/30/2023
  20. Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?

    Published: 7/26/2023

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The Harvard Data Science Review (HDSR) podcast aims to show 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