Event Calendar

 
Workshop

Half-day workshop on Explainable Artificial Intelligence (XAI)

Tuesday, 12 November 2024, 13:30-18:00
Blücherstraße 17, Karlsruhe, Germany and available online

This hybrid half-day workshop will explore key advancements in explainable AI (XAI) at the intersection of AI, Mathematical Sciences, Engineering, and Economics. Experts will discuss both theoretical foundations and practical applications, focusing on making AI models more transparent and interpretable, which is essential for building trust in complex AI systems.

Organizer
KIT Zentrum MathSEE
Karlsruher Institut für Technologie
Englerstraße 2
76131 Karlsruhe
Mail: MathSEE ∂does-not-exist.kit edu
https://www.mathsee.kit.edu/
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Upcoming and Recent Events

View from the Hohlohturm in the Black ForestHarke, CC BY-SA 3.0 , via Wikimedia Commons
KCDS Retreat 2026

This year's group retreat will be from November 2-4, 2026 at the Black Forest. Save the date!

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Group picture
Workshop: "Modern Shape-Constrained and Nonparametric Statistical Learning: Theory, Methods, Applications" with Richard J. Samworth

Insightful lectures, lively discussions, hands-on coding sessions, and an engaging poster session were the ingredients of a workshop with Prof. Richard J. Samworth (University of Cambridge). The workshop and plenary lecture took place Oct 12-13, 2026 at KIT Campus South.

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Group photo KCDS Summer School 2026
KCDS Summer School on Graph Neural Networks 2026

We had a blast at the 2026 KCDS Summer School, with participants from all over the world and sessions covering both fundamental concepts and practical applications of Graph Neural Networks (GNNs). Combined with social activities, it was a great week! The summer school took place Sep 21-25, 2026 at KIT Campus South.

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A signpost pointing to "Past" and "Future" Hadija on Unsplash
Timeline

Find an overview of past events in our timeline.

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Highlights

Group photo KCDS Summer School 2026
KCDS Summer School on Graph Neural Networks 2026

We had a blast at the 2026 KCDS Summer School, with participants from all over the world and sessions covering both fundamental concepts and practical applications of Graph Neural Networks (GNNs). Combined with social activities, it was a great week! The summer school took place Sep 21-25, 2026 at KIT Campus South.

Learn more
CDS Runners - running as a team at 12th KIT MeisterschaftUwe Ehret
CDS Runners @ 12th KIT Meisterschaft! (July 4, 2026)

The CDS Runners team ran like the wind at the 12th KIT Meisterschaft, a 10km fun run at KIT Campus South and, thanks to the fastest four runners in the team, came in as team 13 of 59! Congratulations!

Visualization of a stochastic PDE
Pathways into Mathematics of SPDEs: A Workshop for Young Researchers 2026

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.

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About KCDS

Concept of the graduate school KCDS
KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in the field of model-driven and data-driven computational science.
In this unique program, doctoral researchers will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied SEE discipline (science, economics and engineering).
Addressing global challenges, the school provides a wide variety of topics, from meteorological ensemble forecasting to machine learning in elementary particle physics.
At KCDS, doctoral researchers have one supervisor from the mathematical sciences and one from the applied discipline. They are part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons/datathons.
Thinking simulations and data together, we are ready to conquer the data-driven challenges of tomorrow!

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