Episodios

  • From Models to Markets and Future of Catastrophe Risk with Dr. Paul Wilson
    Oct 1 2025

    Dr. Paul Wilson, Head of Catastrophe and Climate Research at Twelve Securis, a leading insurance-linked securities asset manager, sits down for a live recording of the Risky Science Podcast.


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    42 m
  • AI, Climate, Catastrophe and Why Markets Need To Rethink Risk with Dr. Seth Baum
    Sep 24 2025

    We sit down with Dr. Seth Baum, Executive Director of the Global Catastrophic Risk Institute and research affiliate at Cambridge University’s Centre for the Study of Existential Risk. We explore how societies understand and prepare for global-scale threats—from climate change and pandemics to nuclear conflict and artificial intelligence. Dr. Baum explains why uncertainty is the defining feature of catastrophic risk, why markets struggle to price the unthinkable, and why collective action and governance are essential to tackling the crises that no private market can solve.

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    43 m
  • Prediction markets and disrupting insurance with Kalshi's Shannon Magiera
    Sep 17 2025

    Join the Risky Science Podcast for a live discussion with Dr. Paul Wilson, Tuesday, September 23, 11 a.m. ET.
    Register Here

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    34 m
  • Climate, Correlation, and Cat Bond Investing with Plenum Investments’ Dirk Schmelzer
    Sep 10 2025

    We speak with Dirk Schmelzer, Partner at Plenum Investments in Zurich. Dirk has spent more than 15 years managing catastrophe bond and insurance-linked securities funds, and he brings a practitioner’s perspective on how catastrophe models are actually used in portfolio management and investment decisions.

    We’ll explore how models have evolved, where they still fall short, and how issues like climate change and artificial intelligence are reshaping the conversation.

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    47 m
  • Why Trust, Transparency, and Testing Define the Future of Cat Bonds And Models with KCC’s Karen Clark
    Sep 3 2025

    This week we speak with Karen Clark, founder of Karen Clark & Company, about the evolution of catastrophe modeling and the shift toward higher-frequency, climate-driven events.


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    42 m
  • The Modeled Through Line from Hurricane Katrina to Cyber Catastrophe Risk with Fermat Capital’s John Seo
    Aug 27 2025

    John Seo, founder of Fermat Capital, about the lessons of Katrina for catastrophe bonds and models 20 years later.


    • (00:00) - Introduction
    • (02:00) - Katrina as a Market Catalyst
    • (06:30) - Investor Confidence Under Fire
    • (11:00) - The First True Test of Catastrophe Models
    • (16:00) - Politics, Policy, and Deductibles
    • (22:30) - The In-House View of Models
    • (28:00) - Beyond Peak Perils
    • (34:00) - AI and Model Acceleration
    • (38:00) - A Biophysics Approach to Complex Systems
    • (44:00) - Katrina’s Legacy in Today’s Markets
    • (49:00) - Why Katrina Still Shapes Investor Confidence and Risk Transfer Today
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    53 m
  • Pricing and Modeling Wildfire Risk in the Nation's Most Expensive Housing Market with Stanford's Michael Wara
    Aug 20 2025

    Less than a year after the devastating Los Angeles fires, I’m joined by Michael Wara from Stanford University.

    We explore why Michael is skeptical about California developing a public wildfire model, despite being part of the strategy group that studied it. We'll dig into how the newly approved private wildfire models are about to transform California's insurance market. And we'll discuss something that's crucial but often overlooked: how community-scale risk mitigation efforts can and should be integrated into these models.


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    54 m
  • Severe Convective Storms are Reshaping Insurance and Modeling with Dr. Victor Gensini
    Aug 13 2025

    We talk with Dr. Victor Gensini, a professor at Northern Illinois University and one of the leading experts on severe convective storms. Dr. Gensini works with the Insurance Information Institute and has just launched a new center for convective storm research, bringing together academic research and industry needs to tackle this modeling challenge.

    We'll explore why these storms are so much harder to model than hurricanes, what new data sources are filling the gaps in our understanding, and why we're still five to ten years away from having reliable catastrophe models for severe convective storms.


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    45 m