『Big Brains』のカバーアート

Big Brains

Big Brains

著者: University of Chicago Podcast Network
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

Big Brains explores the groundbreaking research and discoveries that are changing our world. In each episode, we talk to leading experts and unpack their work in straightforward terms. Interesting conversations that cover a gamut of topics from how music affects our brains to what happens after we die. 社会科学 科学
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  • Anxious? Avoidant? How to Build More Secure Relationships
    2026/04/16

    What if the way you relate to others isn’t fixed—but fundamentally changeable? In this episode, we speak with psychiatrist and neuroscientist Amir Levine, who is an Associate Professor of Clinical Psychiatry at Columbia University Medical Center.

    He's the author of the best-selling book Attached, which examined how people’s attachment styles—from secure to anxious to avoidant. In his new book, Secure: The Revolutionary Guide to Creating a Secure Life, Levine argues that attachment styles aren’t lifelong labels but actually patterns the brain can relearn. He explores the emerging science of “earned security”—how relationships reshape our neural wiring, why some people feel safe under pressure while others spiral, and what it takes to move from insecurity to stability.

    Follow Big Brains:

    LinkedIn: https://www.linkedin.com/showcase/big-brains-podcast/

    X: https://x.com/BigBrainsUC


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    37 分
  • Could AI Models Forecast Extreme Weather Events? with Pedram Hassanzadeh
    2026/04/02

    What if we could predict the world’s most dangerous weather events—not days, but weeks in advance? Extreme events like heat waves, hurricanes, and floods cause massive loss of life and billions in damage, but they’re also some of the hardest events for traditional weather forecasting to predict.

    In this episode, Assoc. Prof. Pedram Hassanzadeh of the University of Chicago explains why forecasting extreme weather has long pushed science to its limits—and how a new wave of AI models could transform the field at a time when climate change is making these events more common. By learning directly from decades of atmospheric data, these systems can generate forecasts faster, more cheaply, and in some cases more accurately than traditional models—even to predict freak ‘gray swan’ weather events no one has ever seen.


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    35 分
  • Are Judges Too Powerful? The Rise of Universal Injunctions, with Samuel Bray
    2026/03/19

    In recent years, a judge in one state had gained the power to halt policies across the entire United States. Known as nationwide or universal injunctions, these actions have become one of the sweeping tools in the federal court—affecting cases ranging from student loan forgiveness to environmental policies to birthright citizenship.

    How did universal injunctions become such a central feature of modern constitutional battles? And should one judge really be able to block a policy for the entire country? In this episode, UChicago legal scholar Samuel Bray explains the history and legal debate behind such actions, including his research which was cited more than a dozen times in the 2025 Supreme Court case Trump v. Casa, which examined how courts use this remedy—and whether injunctions fit within the Constitution’s design.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    40 分
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