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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
Audience Perception
Copyright
Art
Music
Online Dating
Privacy
Cybersecurity
RIZZ
Emotional Response
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.

PublishesMonthlyEpisodes57Founded5 years ago
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News CommentaryNewsTech News

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Artwork for Harvard Data Science Review Podcast

Latest Episodes

Will AI replace us, reshape our work, or create opportunities we’ve never imagined? For this month’s episode experts Ben Waber and Raffaella Sadun join the podcast to help us cut through the hype and discuss AI’s real impact on jobs, skills, and orga... more

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

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

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

Key Facts

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Recent Guests

Ben Waber
Visiting Scientist and Lecturer at MIT
MIT
Episode: AI Won’t Take Your Job (But It Might Change It)
Raffaella Sadun
Professor of Business Administration at Harvard Business School
Harvard Business School
Episode: AI Won’t Take Your Job (But It Might Change It)
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

Hosts

Liberty Vitter
Host and feature editor at Harvard Data Science Review Podcast, involved in analyzing and discussing data science themes.
Shelly Meng
Co-host and Editor-in-Chief of the Harvard Data Science Review Podcast, leading discussions on data science and its applications.

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

Listeners Say

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

The diversity in subjects covered, from health to technology, resonates with listeners looking for insightful analysis and practical applications of data.
Listeners appreciate the relevance of topics and the expertise presented, often highlighting the clarity and educational value of discussions.
Some feedback critiques sensationalism in certain discussions, indicating a desire for balanced and factual representations.

Chart Rankings

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

Apple Podcasts
#46
United States/News/Tech News
Apple Podcasts
#71
Canada/News/Tech News
Apple Podcasts
#159
United Kingdom/News/Tech News
Apple Podcasts
#28
Australia/News/Tech News
Apple Podcasts
#35
Italy/News/Tech News
Apple Podcasts
#48
France/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

AI Won’t Take Your Job (But It Might Change It)
Q: What specific skills or ways of working would you say are most future-proof in an AI-driven labor market?
A grounding in statistics is helpful, along with skills in creativity, collaboration, and effective communication.
AI Won’t Take Your Job (But It Might Change It)
Q: Will AI mainly displace jobs or make works dramatically more productive?
The balance will depend on conscious choices made by organizations regarding how they adopt AI technologies and potentially capitalize on new opportunities.
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.

Audience Metrics

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

Listeners per Episode
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Household Income
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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?

Focused on the intersection of data science with current news, policy, and business-related topics, insights are drawn from a variety of experts across multiple fields. The discussions often explore real-world applications of data analysis, critically examining how data can be used to inform or mislead significant societal decisions. Each episode serves as a case study, providing a comprehensive analysis that highlights both the potentials and challenges presented by data in contexts ranging from food safety to digital ethics and public health. This podcast is likely to appeal to listeners keen on understanding the nuances of data-driven decision-making in various sectors, especially as it relates to contemporary issues.

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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. Practical AI
4. MIT Technology Review Narrated
5. Big Technology Podcast

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

Harvard Data Science Review Podcast launched 5 years ago and published 57 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.

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What guests have appeared on Harvard Data Science Review Podcast?

Recent guests on Harvard Data Science Review Podcast include:

1. Ben Waber
2. Raffaella Sadun
3. Lisa Lefferts
4. Marion Nestle
5. Hany Farid
6. Siwei Lyu
7. Andrew Lo
8. Dr. Rebecca Robbins

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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