About ClimaEmpact

ClimaEmpact is a collaborative research initiative focused on improving the understanding of extreme weather events — such as heatwaves, cold spells, extreme wind, and extreme precipitation — by integrating insights from both climate science and artificial intelligence (AI).

The project aims to bridge the gap between complex climate phenomena and their real-world impacts by using advanced AI techniques like deep learning, natural language processing, and data-driven modeling.

It is developed by MathexLab at the National University of Singapore (NUS).

It strives to create tools and methods that can:

• Analyze large-scale text based climate datasets,
• Track vulnerabilities to and impacts of extreme weather events,
• ⁠Understand the emotional toll of extreme weather
• ⁠Support decision-makers, scientists, and the public in understanding and responding to climate-related risks.

Lead Institution: National University of Singapore

Collaborators: Erik Cambria, Rui Mao (Nanyang Technological University, Singapore) and CNRS