[SCAI] AI for Climate: Inferring causation from time series with perspectives in Earth system sciences
2020-12-04 14:00 - 16:00 (Europe/Paris) | online
AI and Climate is a pluridisciplinary research group launched in 2017 at Sorbonne University. In this group, researchers in Climate and Environmental sciences cooperate with Data Scientists with two main goals:
- develop the synergy between two major scientific paradigms: the physical paradigm underlying climate and environmental models, and the more recent paradigm of data science
- develop AI models for climate and environmental challenges.

The group has also started to organize meetings and seminars by inviting researchers from these different communities.

The next seminar will take place on December 4 online on the topic: "Inferring causation from time series with perspectives in Earth system sciences". The speaker, Jakob Runge, heads the Climate Informatics working group at the German Aerospace Center’s Institute of Data Science since 2017. He will present a recent Perspective Paper in Nature Communications giving an overview of causal inference methods and identify key tasks and major challenges where causal methods have the potential to advance the state-of-the-art in Earth system sciences. Several methods will be illustrated by `success’ examples where causal inference methods have already led to novel insights and he will close with an outlook of this relatively new and exciting field.

Information and registration on the dedicated website.

https://scai.sorbonne-universite.fr/public/events/view/e20d1e34a072b9c7d8f9
