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.
Harvard Data Science Review Podcast
Claim This Podcastby Harvard Data Science Review
4.5(43 reviews)
65 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
42
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality47
Social0
YouTube0
Engagement92
Podcast Overview
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.
Language
🇺🇲
Publishing Since
2/12/2021
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
42
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality47
Social0
YouTube0
Engagement92
6
Excellent Areas
1
Good Performance
12
Growth Opportunities
excellent
Episode Length
38 minutes
Performing excellently!
good
Show Notes Quality
3.0/5
Recommendations available
Unlock the full report to see detailed tips
needs improvement
Publishing Consistency
Every 30 days
Recommendations available
Unlock the full report to see detailed tips
+16 More Metrics
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
What's Included in Your Full Report
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
Get your free podcast insights report
See how your show performs across every key metric
Instant delivery
No spam
Attract Better Guests
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Secure Sponsorships
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Grow Your Audience
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
Reach the team behind Harvard Data Science Review Podcast
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes
June 1, 2026
The Judgment of Paris at 50: Wine, Wisdom, and What We Still Don’t Know
Economist Orley Ashenfelter and Master of Wine Susan Lin discuss the Judgment of Paris's impact on wine perception and how data science informs our understanding of taste.
April 30, 2026
What Can We Learn From The Histories of AI: A Conversation With Stephanie Dick
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 intelligence shape today’s AI systems. Drawing on examples from early AI, including facial recognition and police databanks, Dick shows that technical decisions are never purely technical—they reflect assumptions about knowledge, people, and power. Tracing AI through three historical “acts,” she challenges the idea that contemporary AI systems represent a clean break from the past. Dick also questions the pursuit of artificial general intelligence, emphasizing instead that intelligence is plural, embodied, and fundamentally relational. This conversation offers a fresh perspective for anyone building, studying, or thinking about AI today. Our guest: Stephanie Dick is an historian, speaker, and writer who works at the intersections of mathematics, computing, and artificial Intelligence. She is also an assistant professor in the School of Communication at Simon Fraser University and the co-editor of HDSR’s Mining the Past column.
March 30, 2026
Spiritual Enlightenment and AI Enhancement: Can They Align?
Noreen Herzfeld and Tyler VanderWeele discuss how AI impacts human flourishing and spiritual enlightenment in this interview.
65 total episodes available with 29 transcripts
Recent guests on Harvard Data Science Review Podcast
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Orley Ashenfelter
Guest
Susan Lin
Guest
Noreen Herzfeld
Guest
Tyler VanderWeele
Guest
Miguel Paredes
Guest
Amy Andersen
Guest
Adam Cohen-Aslatei
Guest
Dirk Hofmann
Guest
Ulla Kruhse-Lehtonen
Guest
Rachel Franklin
Guest
Patrick Johnson
Guest
Eric LeVine
Guest
Similar Podcasts
Discover related shows you might enjoy
Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
DataFramed
DataCamp
Practical AI: Machine Learning, Data Science
Practical AI LLC
The AI Podcast
NVIDIA
Moonshots with Peter Diamandis
PHD Ventures
The AI Breakdown: Daily Artificial Intelligence News and Discussions
Nathaniel Whittemore
Grammar Girl Quick and Dirty Tips for Better Writing
QuickAndDirtyTips.com
Masters of Scale
WaitWhat
Coaching Real Leaders
Harvard Business Review / Muriel Wilkins
This Day in AI Podcast
Michael Sharkey, Chris Sharkey
Hard Fork
The New York Times
WSJ Tech News Briefing
The Wall Street Journal
The 404 Media Podcast
404 Media
Inside the Strategy Room
McKinsey & Company
Goldman Sachs The Markets
Goldman Sachs
Deep-dive analytics for Harvard Data Science Review Podcast
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Harvard Data Science Review Podcast?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.