Chris Dent and and Raffaela Calabrese: Prediction models for survival: critical infrastructure, credit and insurance
Controversies in the Data Society seminar series 2026
Abstract
Predictably intensifying floods, fires and storms of recent years have focused attention of the vulnerability of our built environment and physical infrastructure to climate change impacts. We clearly need way to translate the complex scientific models of the climate into practical tools to inform policy and business responsible for this.
Speakers
Prof Chris Dent, Professor of Industrial Mathematics, School of Mathematics, University of Edinburgh
Chris Dent is Professor of Industrial Mathematics in the School of Mathematics. He is broadly interested in the application of data science across energy system and planning, and has a particular interest in how approaches from data science can productively be taken to practical application in government and industry.
Prof Raffaella Calabrese, Personal Chair of Statistics and Data Science, Business School, University of Edinburgh
Raffaella Calabrese is Professor of Statistics and Data Science at the University of Edinburgh Business School. She is a leading international expert in credit risk modelling, digital and sustainable finance. Her research expertise includes Climate Stress Testing, the use of AI for Credit risk Modelling and access to finance for small businesses.
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Header Image: Titlecard from the seminar.
