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Harvard Data Science Review Podcast

Harvard Data Science Review
Artificial Intelligence
Data Science
Generative AI
Creativity
Dating Apps
Ethics
Public Health
Synthetic Food Dyes
Misinformation
Communication Science
Privacy
Food Safety
Education
Fashion
Music
Art
Copyright
Audience Perception
Online Dating
United Nations Refugee Agency

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.

PublishesMonthlyEpisodes65Founded5 years ago
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Artwork for Harvard Data Science Review Podcast

Latest Episodes

This month’s episode of the Harvard Data Science Review Podcast uncorks the fascinating intersection of wine, judgment, and data science. Economist and wine expert Orley Ashenfelter and Master of Wine Susan Lin join us to explore the enduring legacy ... more

What can history teach us about today’s AI revolution? In this month’s episode of the Harvard Data Science Review Podcast, we are joined by Stephanie Dick, a historian of science and technology, to explore how past ideas about knowledge and intellige... more

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 intelligence?

We are joined by experts Noreen Herzfeld... more

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 they really optimize for lasting connection?

Host L... more

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Recent Guests

Orley Clark Ashenfelter
Economist and wine enthusiast
Princeton University
Episode: The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know
Susan Lin
Master of Wine and artist
Unspecified in transcript (Princeton context)
Episode: The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know
Stephanie Dick
Historian of mathematics and technology with a focus on artificial intelligence
Harvard Data Science Review
Episode: What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick
Tyler VanderWeele
John L. Loeb and Frances Lehman Loeb Professor of Epidemiology; Director of the Human Flourishing Program, Harvard
Harvard TH. Chan School of Public Health
Episode: Spiritual Enlightenment and AI Enhancement: Can They Align?
Noreen Herzfeld
Nicholas and Bernice Rutter Professor of Science and Religion, St. John's University
St. John's University
Episode: Spiritual Enlightenment and AI Enhancement: Can They Align?
Amy Andersen
Professional matchmaker
Linx and Three Day Rule (as discussed)
Episode: Better Data, Better Date?
Adam Cohen-Aslatei
CEO of Three Day Rule; veteran of the dating industry
Three Day Rule
Episode: Better Data, Better Date?
Dirk Hofmann
Co-founder and co-CEO of DAIN Studios
DAIN Studios
Episode: Masterminds and Mindware for Agentic AI: Contextualized and Applied
Ulla Kruhse
Co-founder and co-CEO of DAIN Studios
DAIN Studios
Episode: Masterminds and Mindware for Agentic AI: Contextualized and Applied

Hosts

Liberty Vitter Capito
Feature editor / host with ongoing involvement in data science-focused discussions and governance.
Shelly Meng
Co-host and Editor-in-Chief with focus on integrating data science discussions into public policy contexts.

Reviews

4.5 out of 5 stars from 56 ratings
  • The tariff episode is the best podcast on this topic

    When a true expert explains a topic, they are able to simplify complex issues in a way that anybody can understand. The chosen topics are super relevant, and the interviewers and experts do a great job at being entertaining and explaining the use of data.

    Apple Podcasts
    5
    InesHoy
    United Statesa year ago
  • Loved it

    Keep making this stuff !! I am here to listen :) Don’t stop .

    Apple Podcasts
    5
    ilovetensor
    India2 years ago
  • exceptional

    awesome

    Apple Podcasts
    5
    JVo12
    Canada3 years ago
  • Great

    Love these monthly data updates!

    Apple Podcasts
    5
    v465carol
    United States4 years ago
  • Why talk about aliens?

    Started good but now has sensationalist alien journalists.

    Apple Podcasts
    1
    Will nickname not taken angel
    United States4 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The show is seen as credible and informative for decision-makers and academics.
Listeners praise the ability to make complex data topics accessible and engaging.
A small portion expresses concern about sensationalism on some episodes.
Guests are noted for bringing deep expertise and practical insights.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#48
United States/News/Tech News
Apple Podcasts
#33
Canada/News/Tech News
Apple Podcasts
#58
Australia/News/Tech News
Apple Podcasts
#64
Germany/News/Tech News
Apple Podcasts
#176
Italy/News/Tech News
Apple Podcasts
#20
Taiwan/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick
Q: What can historical lessons teach us about predictive policing and policing data?
Historical lessons show that transforming a task to fit a computer can oversimplify problems and embed biases, so we must be mindful of how data and algorithms redefine human tasks and identities in policing.
What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick
Q: What is the relationship between raw data and human values, and how does this affect current AI systems?
She argues that there is no such thing as raw data; all data are infused with human decisions about what to count and how, which means data-driven systems inherit those biases and values.
What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick
Q: So if you can just start by telling the broad audience HDSR, like what do you actually do as a historian of science?
Stephanie explains that history of science is a distinct field that studies how knowledge changes over time, focusing on how what counts as knowledge is influenced by social and historical contexts, and how this shapes our understanding of technologies like AI.
Spiritual Enlightenment and AI Enhancement: Can They Align?
Q: Can you measure the long-term harms of AI companions, and what study designs are appropriate?
Long-term harms require longitudinal, multi-year epidemiologic studies, triangulated with theory and reason; while definitive causation is hard, accumulating evidence points to potential harms that warrant proactive safeguards and accountability now rather than waiting for final proof.
Better Data, Better Date?
Q: But what's the most surprising thing you've learned about what people might actually want versus what they say they want in a partner?
People say they want a long checklist, but in practice, emotional safety, accountability, and emotional maturity are more predictive of long-term compatibility than a long list of conditions.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Harvard Data Science Review Podcast

What is Harvard Data Science Review Podcast about and what kind of topics does it cover?

The show consistently probes how data science shapes policy, technology, and society through thoughtful conversations with researchers, practitioners, and domain experts. Episodes span AI history, ethics, education, digital twins, data-driven dating, wine data, and media integrity, often pairing technical depth with philosophical or governance questions. A notable throughline is translating complex data concepts into practical implications for decision-makers, while featuring cross-disciplinary guests who bring historical, theologial, pedagogical, or industry perspectives to AI and data issues. This mix—rigorous analysis, real-world applications, and attention to public impact—helps listeners understand how data-informed choices influence d... more

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Which podcasts are similar to Harvard Data Science Review Podcast?

These podcasts share a similar audience with Harvard Data Science Review Podcast:

1. Super Data Science: ML & AI Podcast with Jon Krohn
2. DataFramed
3. HBR IdeaCast
4. HBS Managing the Future of Work
5. HBR On Leadership

How many episodes of Harvard Data Science Review Podcast are there?

Harvard Data Science Review Podcast launched 5 years ago and published 65 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Harvard Data Science Review Podcast?

Recent guests on Harvard Data Science Review Podcast include:

1. Orley Clark Ashenfelter
2. Susan Lin
3. Stephanie Dick
4. Tyler VanderWeele
5. Noreen Herzfeld
6. Amy Andersen
7. Adam Cohen-Aslatei
8. Dirk Hofmann

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