Accurately predicting the evolution of climateand anticipating extreme weather events is a challenge, particularly due to the heterogeneity of the data. Artificial intelligence and machine learning could well assist in confronting the climate crisis. With this in mind, that Claire Monteleoni, scientifics at the Inria Centre in Paris, built a Inria team-project dedicate from these question with AI. Let's find out more about the challenges and aims of his research.
Accurately predicting the evolution of climate worldwide and anticipating extreme weather events is a challenge, particularly due to the heterogeneity of the data collected in the field and the abundance of data generated by computer models. Artificial intelligence and machine learning could well assist scientists, communities, energy utilities, and decision makers in confronting the climate crisis. With this in mind, the Inria Centre in Paris is planning to set up a new team, headed by Claire Monteleoni, dedicated to AI research to combat climate change. Let's take a closer look at what they’ll be exploring.
Credit: Cambridge University Press
Cambridge University Press is launching a new, Open Access journal -
Environmental Data Science - dedicated to the potential of artificial intelligence and data science to enhance our understanding of the environment, and to address climate change.
It will promote interdisciplinary approaches that allow researchers to use insights from the world s ever-growing store of environmental data to support analysis and inform decision-making.
The journal will be led by Editor-in-Chief Claire Monteleoni, Associate Professor in the Department of Computer Science, University of Colorado Boulder, one of the leading researchers in the interdisciplinary field of climate informatics. Claire will lead a diverse editorial board, with expertise in how data can be used for an array of environmental problems.