Event Calendar
Workshop on Statistics and Data Science for Climate and Weather Extremes
Atrium (Blücherstr. 17, 76185 Kalrsruhe)
Join us for a workshop featuring invited talks by:
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Sebastian Engelke (University of Geneva)
Sebastian Engelke works on extreme value theory, graphical models, and statistical climate science. His group also focuses on extrapolation methods in machine learning and weather forecasting with AI.
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Linda Mhalla (École Polytechnique Fédérale de Lausanne)
Linda Mhalla's research focuses on extreme value theory, quantitative risk modelling, and causal inference, with applications in environmental and financial contexts. In her presentation, she will discuss causal discovery in multivariate extremes, applied to environmental data
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Gabriele Messori (Uppsala University)
Gabriele Messori is an atmospheric physicist whose research focuses on climate extremes, including windstorms, temperature extremes, and heavy precipitation. His work adopts an interdisciplinary approach, examining the physical drivers, predictability, and impacts of these events within the Earth System.
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Petra Friederichs (University of Bonn)
Petra Friederichs focuses on the statistical modelling and forecasting of weather and climate extremes, including post-processing of forecasts, the development of targeted verification approaches, and the detection and attribution of human activities on the evolution and characteristics of extreme events in the future climate.
KCDS members, as well as researchers from KIT and other universities/research centers, are warmly welcome. Participation is free of charge. Please note that KCDS does not cover travel or accommodation expenses. Register by 31 Oct 2025.
Organizers: Lisa Leimenstoll and Tobias Biegert
Register here: https://indico.kit.edu/event/5224/
https://indico.kit.edu/event/5224/
Sebastian Engelke, Petra Friederichs, Gabriele Messori, Linda Mhalla
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds ∂does-not-exist.kit edu
https://www.kcds.kit.edu
In this year's summer school, we will cover both fundamental concepts and practical applications of Graph Neural Networks. Participants can expect a mix of lectures and interactive sessions that provide insight into the mathematical foundations as well as real-world use cases of graph-based machine learning methods.
More info and registration
This year's group retreat will be from November 2-4, 2026 at the Black Forest. Save the date!
More info
Find an overview of past events in our timeline.
link
The workshop was co-organized by doctoral researchers from HGS MathComp (Heidelberg) and KCDS and provided a smooth introduction to a challenging, yet highly relevant topic: Stochastic partial differential equations in applied mathematics. It took place from March 9-11, 2026 in Heidelberg.
More info
A worthwhile journey to KIT Institute of Statistics: Talks by Sebastian Engelke, Linda Mhalla, Gabriele Messori, Petra Friederichs gave insights into state-of-the-art research in statistics and data science for climate and weather extremes. The workshop took place on November 20, 2025 at the Campus South outpost in Blücherstraße.
Read more here
A friendly place in the Black Forest, sunny autumn weather, good food, lively (scientific) discussions, board games and activities ranging from powerpoint karaoke to trampoline jumping were the ingredients of a lovely KCDS Retreat this year! It took place from November 10-12, 2025.
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Short courses and an interactive tutorial on Neural Operators and Gaussian Processes, along with a poster session and lots of opportunities for networking with other researchers - that was the KCDS Summer School 2025! It took place from August 27-29, 2025 at KIT Campus South.
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KIT International Excellence Fellow Prof. Victoria Stodden invited the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled - taking reproducibility to action! The workshop took place on January 21, 2025 at Triangel Studio.
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From Computational and Data Science to Industry and Academia - four KIT Alumni gave insights into their jobs during a lively panel discussion on October 11, 2024 at Triangel Space.
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The hackathon on precipitation estimation with weather radar and rain gauge data took place from October 8-11, 2024 at Triangel Studio.
Read moreAbout KCDS
Coordination KIT Graduate School Computational and Data Science
+49 721 608-47748
angela huehnerfuss ∂does-not-exist.kit edu
www.kcds.kit.edu/