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Harvard Data Science Review Podcast

Harvard Data Science Review Podcast

De: Harvard Data Science Review
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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.Copyright 2021 All rights reserved. Política y Gobierno
Episodios
  • Tracking the Most Intoxicating Data: A Conversation With Eric LeVine
    Nov 20 2025

    Fine wine meets data science in this month’s episode of the Harvard Data Science Review Podcast. Hosts Liberty Vittert Capito and Xiao-Li Meng explore how data, taste, and technology intertwine with Eric LeVine, founder of CellarTracker, the world’s largest community-driven wine database. What began as a personal project for managing a home cellar has evolved into a global platform with millions of users and billions of data points on wines, prices, and human preferences.

    During the conversation, they unpack the origins of CellarTracker at Microsoft, how big data and machine learning reveal trends in taste and behavior, and the use of AI to predict “Will I like this wine?” They investigate how to find your digital wine twin, data quality and privacy, and how AI could change how we buy, drink, and enjoy wine without losing the human touch.

    Grab a glass and join us for a thoughtful conversation about curiosity, community, and enjoying life—responsibly.

    Our guest:

    Eric LeVine is president and CEO of CellarTracker, the world’s most comprehensive database. Previously he was a group program manager at Microsoft.

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    38 m
  • Learning With AI: What It Means for Students, Teachers, and Parents
    Oct 30 2025

    Artificial intelligence has made its way into the classroom—bringing excitement, confusion, and big questions about the future of learning. In this month’s episode of the Harvard Data Science Review Podcast, we explore how AI is transforming education with guests Chad Dorsey, president and CEO of the Concord Consortium, and Victor Lee, associate professor at the Stanford Graduate School of Education. Together, they discuss how teachers and students are using AI as a creative learning partner, the myths around AI-driven “cheating,” and how data literacy can empower the next generation. The conversation also dives into critical issues of equity, curiosity, and the evolving role of educators and parents in an AI-powered world—asking what it truly means to build a more human-centered future for learning.

    Tune in for an honest, hopeful look at the future of education and what it means to build a smarter, more human-centered classroom.

    Our guests:

    • Chad Dorsey is president and CEO of the Concord Consortium, which has been an innovation leader in researching and developing STEM educational technology for the past 30 years.
    • Victor R. Lee is an associate professor in the Graduate School of Education at Stanford University and is faculty lead for the Stanford Accelerator for Learning's AI + Education program.
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    46 m
  • AI Won’t Take Your Job (But It Might Change It)
    Sep 26 2025

    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 organizations. Drawing from research and industry experience, they tackle the myths of total automation, the need for firm-specific experimentation, and the evolving skills and management strategies required in the age of AI.

    Join us as we take a pragmatic look at the challenges and opportunities as AI transforms how we work.

    Our guests:

    • Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School, and is a co-chair of Harvard Business School’s Project on Managing the Future of Work and co-PI of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector.
    • Ben Waber is a leading thinker at the intersection of management, data, workplace, and people. He is currently a visiting scientist at MIT and a senior visiting scientist at Ritsumeikan University. Previously, he was the president and CEO of Humanyze, a workplace analytics company he co-founded.

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    44 m
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