Harvard Data Science Review Podcast

Harvard Data Science Review

Artificial Intelligence

Data Science

Generative AI

Creativity

Dating Apps

Ethics

Communication Science

United Nations Refugee Agency

Misinformation

Fashion

Music

Art

Audience Perception

Privacy

Online Dating

Cybersecurity

Emotional Response

RIZZ

Education

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.

52 ratings

Publishes	Monthly	Episodes	56	Founded	5 years ago
Number of Listeners		Categories	News CommentaryNewsTech News

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Guests Hosts Reviews Charts Talking Points

Latest Episodes

Better Data Science and AI Technologies for Better Vine and Wine?

This month, we explore how data science and AI are transforming the wine industry—from vineyard planting and grape harvesting to customer engagement. Can advanced technologies help winemakers enhance quality, promote sustainability, and better match ... more

29 Aug 2025 • 45 min

Food for Thought: What Does the Data Say About Food Dye Safety?

This month, we’re taking a closer look at what’s on your dinner plate. From brightly colored cereals to shelf-stable snacks, food dyes, preservatives, and ultra-processed foods are found everywhere. But are they safe? Are they necessary—or could they... more

29 Jul 2025 • 25 min

The Deep Trouble of Deepfake: What Can or Should We Do?

Once the stuff of science fiction, deepfake technology has rapidly become one of the most powerful—and consequential—applications of generative AI, blurring the line between reality and illusion and reshaping how we trust what we see and hear online.... more

18 Jun 2025 • 48 min

What Are Tariffs and How Do They Impact Us? Another Conversation with Andrew Lo

This month, we welcome back one of our most popular guests—MIT Professor Andrew Lo—for an insightful exploration into the complexities of tariffs. In this episode, we break down what tariffs are, how they work, and their far-reaching economic and pol... more

30 May 2025 • 40 min

Key Facts

Accepts Guests

Contact Information

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Number of Listeners

Find out how many people listen to this podcast per episode and each month.

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Recent Guests

Lisa Lefferts

Environmental health consultant and former senior scientist at the Independence Center for Science in the Public Interest

Episode: Food for Thought: What Does the Data Say About Food Dye Safety?

Marion Nestle

Paulette Goddard Professor Nutrition, Food Studies and Public Health at New York University

New York University

Episode: Food for Thought: What Does the Data Say About Food Dye Safety?

Hany Farid

Pioneer of digital forensics

Episode: The Deep Trouble of Deepfake: What Can or Should We Do?

Siwei Lyu

Professor whose lab develops deepfake detection methods

Episode: The Deep Trouble of Deepfake: What Can or Should We Do?

Andrew Lo

Charles and Susan Harris Professor of Finance at MIT, Director of the Laboratory for Financial Engineering

MIT

Episode: What Are Tariffs and How Do They Impact Us? Another Conversation with Andrew Lo

Dr. Rebecca Robbins

Co-author of Sleep for Success and researcher at Harvard Medical School focusing on sleep health.

Harvard Medical School

Episode: Getting Refreshing Advice: Sound Data for Sounder Sleep?

Rob Smedley

Renowned F1 race engineer and strategist with experience at Ferrari, Williams, and the Formula One Group

Smedley Group

Episode: The Most Data-Driven Formula for Success: Formula 1

Sean Kim

Head of AI and Machine Learning for the dating app RIZZ

RIZZ

Episode: Can AI Enhance My Rizz?

Kathryn Coduto

A Communication Science researcher and author from Boston University

Boston University

Episode: Can AI Enhance My Rizz?

Hosts

Liberty Vitter

Feature Editor at the Harvard Data Science Review, discussing data science-related topics and issues.

Shali Meng

Editor-in-Chief at the Harvard Data Science Review, leading discussions on critical data science themes.

Reviews

4.5 out of 5 stars from 52 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 States4 months 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 States3 years ago
Why talk about aliens?
Started good but now has sensationalist alien journalists.
Apple Podcasts
1
Will nickname not taken angel
United States3 years ago

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Listeners Say

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

Reviews often highlight the educational value and the relevance of the content, with a strong focus on data integrity and its implications.

The podcast features insightful discussions about current issues and data science applications in an understandable way.

Listeners appreciate the diverse expertise of the guests and their ability to simplify complex topics.

Chart Rankings

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

Apple Podcasts	#85	United States/News/Tech News
Apple Podcasts	#28	Canada/News/Tech News
Apple Podcasts	#223	United Kingdom/News/Tech News
Apple Podcasts	#34	Germany/News/Tech News
Apple Podcasts	#36	France/News/Tech News
Apple Podcasts	#59	Australia/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

The Deep Trouble of Deepfake: What Can or Should We Do?

Q: How do we make sure that we don't even understand, in theory, things could be balanced, but at some point, maybe just one state, or one gigantic evil company did something, then we just didn't have enough time to catch it, and then we all kind of fall, right?

There is significant concern regarding the imbalance of investment between bad actors and those working toward solutions. The focus should be on raising awareness and creating better guardrails to mitigate the risks posed by advanced AI technologies, particularly in the hands of malicious entities.

The Deep Trouble of Deepfake: What Can or Should We Do?

Q: What is our responsibility here? How do we even process the kind of a situation we're in, both at someone on the technology side, but also as a consumer?

There are two levels of problems we're dealing with the powerful AI systems right now; one is at the technical level, the other is at the user level. It's important to address both areas to ensure the safety and security of generative AI models.

Can AI Enhance My Rizz?

Q: How do you protect the user data privacy?

Sean reassures that RIZZ encrypts all messages, does not store data permanently, and deletes data after a certain period to ensure user privacy.

Can AI Enhance My Rizz?

Q: Can you tell us a little bit about how you think the use of AI for communication on dating apps really influences the quality of conversations?

Kathryn shares that people are now more aware of AI and tend to seek meaningful interactions through AI assistance, especially gender differences in how messages are perceived.

Can AI Enhance My Rizz?

Q: What technology do you actually use and specifically, what data you were using to train these models?

Sean explains that they use OpenAI and other models, relying heavily on visual inputs to train their AI, ensuring context-aware replies based on conversation snippets.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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?

A comprehensive exploration of pressing societal issues through data science, the content covers a diverse range of topics, including the ramifications of digital technologies, economic policies, health insights, and more. Engaging discussions feature a variety of experts, from data scientists to industry leaders, who delve into how data shapes our understanding and decision-making processes. Each episode serves as a case study that not only reveals insights but also emphasizes the importance of data integrity and the potential for misinformation in today's world.

Where can I find podcast stats for Harvard Data Science Review Podcast?

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How many subscribers and views does Harvard Data Science Review Podcast have?

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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. Data Skeptic
3. Practical AI
4. Data Engineering Podcast
5. Masters of Scale

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

Harvard Data Science Review Podcast launched 5 years ago and published 56 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Harvard Data Science Review Podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Harvard Data Science Review Podcast?

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How do I access podcast episode transcripts for Harvard Data Science Review Podcast?

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What guests have appeared on Harvard Data Science Review Podcast?

Recent guests on Harvard Data Science Review Podcast include:

1. Lisa Lefferts
2. Marion Nestle
3. Hany Farid
4. Siwei Lyu
5. Andrew Lo
6. Dr. Rebecca Robbins
7. Rob Smedley
8. Sean Kim

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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