Harvard Data Science Review Podcast Podcast Por Harvard Data Science Review arte de portada

Harvard Data Science Review Podcast

Harvard Data Science Review Podcast

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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
  • Food for Thought: What Does the Data Say About Food Dye Safety?
    Jul 29 2025

    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 actually be harmful? In this episode, we speak with leading experts in food science and public health to separate fact from fear. What does the evidence really say about these controversial ingredients? Are recent legislative bans rooted in science, or are other factors at play? Join us as we unpack the science, the politics, and the public perception behind what we eat.

    Our guests:

    • Lisa Lefferts is an environmental health consultant and former senior scientist at the Center in the Public Interest. She is the primary author of the successful petition to ban Red No. 30 and also served on the FDA's Food Advisory Committee when it considered synthetic food dyes in 2011.
    • Marion Nestle is an American molecular biologist, nutritionist, and public health advocate. She is the Paulette Goddard Professor of Nutrition, Food Studies, and Public Health emerita at New York University.

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    26 m
  • The Deep Trouble of Deepfake: What Can or Should We Do?
    Jun 18 2025

    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. This month we delve into this phenomenon with Professor Hany Farid, a pioneer in digital forensics, and Professor Siwei Lyu, whose lab develops state-of-the-art deepfake detection methods.Together, they’ll walk us through the data journey—from the vast raw data sets that fuel synthetic media to the pixel-level signatures that can unmask it. Whether you’re a computer scientist, policymaker, or simply curious about how synthetic content is transforming our information landscape, join us for an in-depth conversation about turning data into both convincing illusions and robust defenses—and learn how we can preserve trust and truth in our rapidly evolving digital world.

    Our guests:

    • Hany Farid is a professor at the University of California, Berkeley, with a joint appointment in the Department of Electrical Engineering and Computer Sciences and the School of Information. He is also a member of the Berkeley Artificial Research Intelligence Lab, Berkeley Institute for Data Science, Center for Innovation in Vision and Optics, Development Engineering program, Vision Science program, and is a senior faculty advisor for the Center for Long-Term Cybersecurity.
    • Siwei Lyu is a SUNY Distinguished Professor and a SUNY Empire Innovation Professor at the Department of Computer Science and Engineering, the director of the UB Media Forensic Lab, and founding co-director of the Center for Information Integrity at the University of Buffalo, State University of New York.

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    48 m
  • What Are Tariffs and How Do They Impact Us? Another Conversation with Andrew Lo
    May 30 2025

    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 political impacts. Our conversation delves into the challenges of predicting tariff outcomes, the need for better data-driven policies, and offers practical advice for individual investors navigating periods of economic uncertainty. Join us for a fascinating deep dive into the world of economic policy

    Our guest: Andrew W. Lo is the Charles E. and Susan T. Harris Professor of Finance at the MIT Sloan School of Management.

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    40 m
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