Project · Funded project
AI for Heat Mortality
Using frontier AI methods and models to examine and understand the relationship between extreme heat and human mortality.
- Funded by
- University of Bristol Faculty of Science and Engineering Strategic Research Accelerator
- PI
Eunice Lo
Rui Zhu- Team
Alex Davies- Duration
- Apr 2026 – present
Summary
It’s long been understood that heat has an effect on health, and in extreme cases can cause death. How to predict the size of this effect, and study which groups are most vulnerable, is only going to become more essential as our planet warms. This is not an easy problem – the set of potential factors is enormous, and many vary in both time in geography. In this project we’re pushing new ground in applying frontier AI models to this task, with the aim that intelligent and informed decisions can be made to prevent death from extreme heat.
Outputs
- (Pre-Print) Demographically-Informed Heat-Mortality Risk Curves via Risk Graph Neural Networks ↗ Presented at FM4Urban at ECML-PKDD 2026, arXiv,
Research themesGeoAI & Climate