KIT Centers MathSEE and KCIST are jointly hosting “AI Perspectives” at Triangel Space: The goal of this format is to foster scientific exchange among our active but very spread-out AI community at KIT.
 
AI Perspectives will take place on Wednesday July 8, 2026, 13:00 to 16:00h at Triangel, Karlsruhe.
Register here: https://indico.kit.edu/event/5580/
 
The workshop will feature talks by Benjamin Unger, Maria Francesca Spadea and Tobias Käfer as well as a networking opportunity with a poster session. We would like to encourage doctoral researchers to show their research related to AI and submit a poster! For KCDS Fellows, poster contributions will be credited with 1 CP („cutting-edge knowledge“).
 

"How did you start your career?" KIT alumni talk about personal experiences, job profiles and career paths in computational and data science and AI. You are a student or in the middle of your PhD and curious about a career in computational and data science and AI? Get inspired by our Alumni and their first-hand experience! The event features a panel discussion (in English), followed by an opportunity to network with speakers and peers over snacks and drinks.
 
Speaker: 
Dr. Alexandra Walter, Software Engineer at Dentsply Sirona. Former HIDSS4Health PhD Dr. Arne Warnke, AI Manager at VR Bank Rhein-Neckar eG. KIT graduate, former PhD at University of Freiburg  Dr. Vadim Arzamasov, AI Engineer & Data Scientist at Bundesanstalt für Wasserbau. Former PhD & Postdoc at KIT   
Jointly presented by KIT Graduate School Computational and Data Science (KCDS), Helmholtz Information & Data Science School for Health (HIDSS4Health) and KIT Career Service and Alumni

The 13th HKMetrics workshop will take place at KIT on Thursday July 9 (Blücherstraße 17, roughly between 10:00 and 18:00, depending on the final program). The workshop is part of the HKMetrics network of econometricians and statisticians at Heidelberg, Karlsruhe and Mannheim. It features talks by doctoral and postdoctoral researchers, covering both methodological topics and applications from diverse fields like economics, health, and meteorology.

If you are interested in attending the workshop, please register by June 21. Participation is free of charge.

The program of this year's summer school will focus on Graph Neural Networks, covering both fundamental concepts and practical applications.
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.
 
KCDS members as well as doctoral researchers from KIT and other universities/ research centers are welcome to join! There is no participation fee. Please note that KCDS doesn't cover travel and accomodation expenses.