4 SEP 2026 · Much of the code that describes the inner workings of social networks, helps apps predict your musical interests, and underlies innovations in AI traces back to advances in mathematical theory and data science that fundamentally describe how massive networks behave.https://www.sciencefriday.com/segments/jennifer-chayes/?utm_source=wnyc&utm_medium=podcast&utm_campaign=scifri She also spent 20 years at Microsoft building interdisciplinary research labs. Now, at UC Berkeley, her interests lie in using machine learning to work on topics like materials science, cancer immunotherapy, ethical decision-making, and climate change. She joins Flora for a wide-ranging discussion about math, networks, AI, academia, and her path between them. Guest:Dr. Jennifer Chayes is the dean of the College of Computing, Data Science, and Society at UC Berkeley.Transcript will be available after the show airs on https://www.sciencefriday.com/segments/jennifer-chayes/?utm_source=wnyc&utm_medium=podcast&utm_campaign=scifrihttps://pod.link/73329284 Follow our show on https://www.instagram.com/scifri/, https://www.tiktok.com/@scifri, https://www.facebook.com/scifri, and https://bsky.app/profile/scifri.bsky.social @scifri and https://www.sciencefriday.com/newsletters/?utm_source=wnyc&utm_medium=podcast&utm_campaign=scifri. Got a science question that’s keeping you up at night? Call us: 877-472-4374
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