Risky Science Podcast
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.
- Indexed episodes, last 90 days
- 8
- Latest publication
- Sep 9, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 8, 2026
Latest episodes
Hal King on Food Safety, Outbreak Risk, and Financial Cross-Contamination (opens the original)
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his summer's record cyclosporiasis outbreak did something unusual: it took money out of companies that had nothing to do with it. Five food companies cut or constrained guidance over the outbreak. None of them served the contaminated product. Hal King has worked every side of that problem — CDC outbreak investigator, architect of an enterprise food safety management program at a major national chain, and now founder of Active Food Safety, advising the largest foodservice brands in the country. H
Karen Clark on AI, Frequency Perils, and Why Reinsurers Stopped Trusting the Models (opens the original)
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Karen Clark, founder and CEO of Karen Clark & Company, returns to Risky Science to discuss KCC's new white paper on artificial intelligence in catastrophe models — where AI genuinely improves the science, and where the industry is overstating what it can do. Clark built the first commercial catastrophe model in the 1980s. In this conversation she argues that the biggest step change in the field wasn't AI at all, but the shift from statistical to physical, dynamical models — and that AI's real va
Insurance Isn't Just Transferring Risk Anymore (opens the original)
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Private credit didn't just find a new source of capital—it may have changed the role of life insurance itself. Andrew Granato and Pranjal Yadav explain why insurance regulation, guaranty funds and opaque private assets could become increasingly important to financial stability.
Can Big Tech Become The Next Insurance Company? (opens the original)
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For years, the biggest competitive battles in insurance have been between insurers. Underwriting. Pricing. Capital management. But artificial intelligence may be changing the rules. What if the next major competitor doesn't come from another insurance company at all? What if it comes from the technology sector? As AI becomes better at predicting losses, preventing claims, and influencing behavior, the question isn't simply whether insurers will use AI. It's who ultimately owns the data, the cust
Private Capital, Public Flood: Risky Science Live (opens the original)
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Listen to the full replay of the latest Risky Science Live "Private Capital, Public Flood: Risky Science Live". The panel examines what a larger private flood market actually requires: the modeling sophistication to price the peril credibly, and the underwriting and capital structures to carry it. Flood has long been the catastrophe risk the private market avoided, deterred by sparse data, correlated losses, and a federal backstop that absorbed the tail. Subscribe to Risk Market News
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