Harnessing Climate Data + Modeling to Impact Societal Sectors
An optional lunch workshop and panel for attendees of the 2025 Climate Business & Investment Conference.
Date and time
Location
Columbia Business School
665 West 130th Street New York, NY 10027About this event
- Event lasts 1 hour 30 minutes
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LEAP’s primary research strategy is to improve near-term climate projections by merging physical modeling with machine learning across a continuum from expertise in climate science and climate modeling to cutting-edge machine learning algorithms. The benefits will be significant for both the climate and data sciences communities. Climate scientists and modelers struggle to fully integrate the wealth of existing datasets into their models, while machine learning algorithms have been good at emulating and interpolating but have difficulties extrapolating or predicting extremes. By combining both approaches, LEAP will trigger a significant advancement for data science algorithms applied to physical problems. LEAP will incorporate physics and causal mechanisms into machine learning algorithms for better generalization and extrapolation, while optimally using the wealth of data available to climate science, in order to better predict the future.