From Static Flood Maps to Flood Foresight: Rethinking Risk in a Changing Climate

From Static Flood Maps to Flood Foresight: Rethinking Risk in a Changing Climate

As flooding becomes one of the fastest-growing drivers of catastrophe losses, the gap between traditional risk models and real-world outcomes is becoming increasingly difficult to ignore.

Join us for a timely session exploring how next-generation flood modelling is helping insurers move beyond static maps towards a more dynamic, forward-looking understanding of risk. From underwriting precision and pricing accuracy to capital decision-making and claims readiness, the ability to identify and respond to mispriced risk is becoming a critical differentiator in today’s volatile environment.

With climate uncertainty intensifying and dense built environments reshaping exposure, insurers must rethink how flood risk is assessed, priced and managed.

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What You Will Gain

• A clearer understanding of why conventional flood models can understate real-world impacts 
• Insight into how next-generation flood modelling can support more accurate underwriting and pricing 
• A forward-looking view of what better flood foresight means for capital allocation and portfolio resilience 
• Practical perspectives on preparing for claims volatility and shifting exposure patterns 
• Industry insights from experts and practitioners on evolving flood-related insurance challenges

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Speakers

Ms. Katerina Boukin

Postdoctoral Associate, Center for Transportation & Logistics

Massachusetts Institute of Technology

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Katya (Katerina) Boukin is the co-founder of Flood Dynamics, an MIT-born climate technology company and spinout of her PhD work, delivering next-generation end to end flood intelligence for cities, insurers, and infrastructure operators. The platform combines physics-based modeling and AI to predict, quantify, and mitigate flood risk at the asset level, enabling proactive decision-making, resilience planning, and faster recovery. Katya is also a Postdoctoral Associate at MIT’s Center for Transportation & Logistics (CTL), focusing on flood hazards, infrastructure resilience, and supply chain impacts.

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She holds a PhD from MIT in Systems Engineering, an SM from MIT in Geotechnical Engineering, and a BSc in Structural Engineering from the Technion. Her PhD research at MIT’s Concrete Sustainability Hub developed methods to predict flood risk and quantify infrastructure damages from pluvial flooding.

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Mr. Yuval Lidany

Postdoctoral Fellow, Rotman School of Management

University of Toronto

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Yuval Lidany is an economist specializing in industrial organization, structural modeling, and experimental economics, with a focus on technological change, artificial intelligence, and their implications for markets. His work examines how technological advances reshape competition, risk, pricing, and investment incentives, and how these changes can be translated into rigorous economic analysis for firms, policymakers, and investors. At Flood Dynamics, he leads the company’s economic risk strategy, developing methods to quantify the impact of flooding on urban systems and to translate technical flood risk metrics into financial assessments for insurers, reinsurers, municipalities, and private clients. His work also includes designing pricing frameworks for innovative insurance products, evaluating resilience investments, and assessing market opportunities related to climate risk, adaptation, and technological advances in risk measurement.

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if you have any questions, please feel free to contact us at events@scidomain.org.sg