Prediction models for survival: critical infrastructure and insurance
Venue
Seminar Room 2, Chrystal MacMillan Building and on ZoomDescription
Part of the Controversies in the Data Society 2025 series
A cross-disciplinary series of public lectures and discussion on AI and the datafication of society
The recent fires in LA have focused attention of the vulnerability of our built environment and physical infrastructure to climate change impacts. We clearly need ways to translate the complex scientific models of the climate into practical tools to inform policy and business.
In this session, we hear from leading University of Edinburgh scholars from Mathematics - Chris Dent - and the Business School - Raffaella Calabrese - on the challenges of translating climate modelling into practical tools for climate change mitigation, one in the field of protecting the electricity infrastructure and the other in insurance markets.
Speakers

Professor 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.

Professor 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.