Data Science Webinar Series

We are pleased to announce the US CLIVAR Data Science Webinar Series. Organized by the Data Science Working Group, the webinar series will feature experts in Earth science, statistics, and computer science with the specific goal of fostering collaboration across these disciplinary boundaries. Our general mission is to accelerate the understanding, adoption, and further development of modern data science tools (artificial intelligence, machine learning, and statistics) for the analysis of large-to-massive climate data sets. The webinars will occur biweekly, with 30min talks and 15min for Q&A from the online audience. The talk and Q&A will be posted on the US CLIVAR Youtube channel as part of the US CLIVAR’s mission to serve the broader climate community and society. Upcoming webinars can be found on our Google Calendar.

If you are interested in attending the biweekly seminar, please fill out this Google Form and we will add you to our webinar's mailing list.

To learn more about the different US CLIVAR webinar series and instructions on how to join an upcoming webinar, click here. 

Next webinar: April 19, 2021 @ 3pm ET/12pm PT

Presenter: Jakob Runge (German Aerospace Center)

Talk: Causal inference in Earth system sciences

Abstract: The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In Earth system sciences replicated real experiments as a means to obtain causal knowledge are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal inference methods beyond the commonly adopted correlation techniques. In this talk I will present an overview of causal inference and identify key tasks and major challenges where causal methods have the potential to advance the state-of-the-art in Earth system sciences.