Risky Science Podcast
Risky Science Podcast
Podcast Description
The Risky Science Podcast features conversations with scientists, insurers, investors, portfolio managers, and others about the evolving science of predicting and modeling risk across both natural and man-made perils.
Podcast Insights
Content Themes
The podcast delves into a range of topics centered around risk prediction and modeling, with episodes exploring the intricacies of climate science, finance, and technology, such as the episode featuring Dr. Daniel Swain discussing weather and climate modeling and its implications for understanding extreme weather events.
The Risky Science Podcast features conversations with scientists, insurers, investors, portfolio managers, and others about the evolving science of predicting and modeling risk across both natural and man-made perils.
Dr. Ben Collier, a professor at the University of Wisconsin-Madison, and his fellow researchers published a recent paper that uses twenty years of Florida data to trace a direct line from cat model revisions to the premiums homeowners actually pay. The finding? A one-dollar increase in modeled expected loss translates to roughly five dollars in higher premiums. That multiplier — and what’s driving it — is what we’re unpacking today.
In the episode we dive deep into the findings.
The paper: Pricing Climate Risk: Hurricane Models and Home Insurance Over the Last Two Decades
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