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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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.

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Artificial intelligence may live in “the cloud,” but its footprint is firmly on the ground. As AI systems grow more powerful, the data centers that train and run them are consuming massive amounts of land, water and electricity—as well as reshaping regional power grids. What does this surge in demand mean for the environment, energy infrastructure, and the future of innovation?

In this episode, we speak with UChicago computer scientist Andrew Chien, an expert in large-scale computing and cloud computing, about why these data centers require so much power, why they’re stirring such controversy—and whether there are sustainable approaches that could keep our energy use in check.

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