Research Insights, a Society of Actuaries Podcast

Research Insights

Research Insights, hosted by R. Dale Hall, FSA, MAAA, CERA, Managing Director of the SOA Research Institute and occasional guest hosts, highlights Society of Actuaries (SOA) Research Institute research. The podcasts include recently released research reports, research featured at SOA meetings, and other related items produced by SOA research.

  1. 5d ago

    Quantifying Mortality and Morbidity Impacts from Climate Risks: A Practical Framework for Decision-Making

    How can actuaries assess mortality and morbidity risk when historical experience may no longer fully reflect a changing climate environment? In this episode of the Research Insights Podcast, Dale Hall, Managing Director of Research at the Society of Actuaries Research Institute, welcomes Carlos Arocha, FSA, SCR, and Jérôme Crugnola-Humbert, SAV, IA, authors of the report Quantifying Mortality and Morbidity Impacts from Climate Risks: A Practical Framework for Decision-Making. Carlos and Jérôme discuss how climate hazards, population exposure and vulnerability can translate into life and health outcomes and ultimately affect actuarial decision-making. They explore why historical mortality and morbidity data alone may be insufficient in a changing risk environment, how climate-related variables can be incorporated into mortality modeling, and what a case study examining France, Italy and Spain can teach actuaries about interpreting forward-looking scenarios. The conversation also examines the "streetlight effect" and the "quantitative fallacy," along with practical considerations for life and health insurers seeking to better understand and prepare for climate-related risks. Listen to the episode and explore the full report, accompanying actuarial toolkit, and additional research from the Society of Actuaries Research Institute by visiting SOA.org and navigating to the Catastrophe & Climate research area. Read the Report:  https://www.soa.org/resources/research-reports/2026/climate-mortality-morbidity-framework/

  2. Aug 21

    Evaluating Representativeness in Healthcare Claims Data: A Framework for AI Fairness in Actuarial Applications

    In this episode of the Research Insights Podcast, Lisa Schilling, Director of Practice Research at the Society of Actuaries Research Institute, speaks with Dr. Rob Lieberthal, lead author of Evaluating Representativeness in Healthcare Claims Data: A Framework for Representativeness-Based Fairness in Actuarial Applications of AI. Their discussion explores why strong overall model performance does not necessarily mean an AI or machine learning model performs equitably across populations. Dr. Lieberthal explains how gaps in healthcare claims data can affect rural, lower-income, underdiagnosed, and other populations—and why actuaries should examine representativeness before relying on model results. Listeners will learn about the report's three-stage bias assessment covering input bias, model bias, and application bias; examples involving geographic representation, missing data, and intersectionality; and practical approaches for evaluating subgroup performance. The episode also highlights the companion Model Card Generator and Decision Assist Tool, which are designed to help actuaries document model limitations, compare model alternatives, and apply professional judgment throughout the modeling process. Explore the full research report and companion resources through the Society of Actuaries Research Institute at SOA.org, and discover practical ways to strengthen fairness, transparency, and informed decision-making in actuarial applications of AI. https://www.soa.org/resources/research-reports/2026/dei127-represent-hc-data/

5
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15 Ratings

About

Research Insights, hosted by R. Dale Hall, FSA, MAAA, CERA, Managing Director of the SOA Research Institute and occasional guest hosts, highlights Society of Actuaries (SOA) Research Institute research. The podcasts include recently released research reports, research featured at SOA meetings, and other related items produced by SOA research.

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