Machine Learning as a tool for positive impact : case studies from climate change
Video · 57 min · Dec 10, 2020
Alexandra (Sasha) Luccioni, University of Montreal and Mila (Quebec Institute for Learning Algorithms)
More on adaptation
Climate models for research and society
Climate Science, Climatology, Mathematical Modeling and seminar by Masa Kageyama, CNRS Research Director, Climate and Environmental Sciences Laboratory, Institut Pierre-Simon Laplace
Hosted by Collège de France
Thursday 11:00–12:00 Paris (GMT+1)
Recording available
Amphithéâtre Mireille-Delmas-Marty, Site Marcelin-Berthelot · In person
Abstract
Masa Kageyama examines climate models as tools for both scientific investigation and societal decisions. Developed through extensive collaboration, these models connect understanding of large-scale climate behaviour to projections of impacts and risks. The seminar considers scientific and technical improvements needed to support effective adaptation.
Topics
Climate modelsscientific investigationsocietal decisionsclimate behaviouradaptationtechnical improvements
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