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26.03.2026

German Data Science Days 2026, Munich

Beginn: 08:30

Website der Veranstaltung aufrufen

Data, the new gold of the digital era, Deep Learning, and AI are some of the currently prominent buzzwords. Data science, the science and methodology of extracting information and knowledge from data, plays a major role in science, industry, and business, and close collaboration between all parties involved is necessary. The German Data Science Days (GDSD) provide the ideal platform for such collaboration: We bring together data scientists from various fields and create a forum for users and experts with the aim to identify and discuss new methods, explore new fields of application, and enhance the professional image of data scientists.

The German Data Science Days are organised by the elite master program Data Science at LMU Munich in cooperation with the German Data Science Society (GDS) e.V..

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Programm

08:30 -  09:45

Registration
09:45 - 10:00 Welcome
10:00 - 11:00 Session (1): Gen AI
  • Daniel Nowakowski, Dehn SE: "KI-Einsatz im Vertrieb & Marketing als Plattform-Ansatz: Learnings aus ersten Agenten-Piloten"
  • Dieter Cullmann, Abacus alpha: "Erfolgreiche digitale Transformation im Zeitalter der Künstlichen Intelligenz - Praxisperspektiven aus der Wirtschaft"
   
11:00 - 11:30 Coffee break
11:30 - 13:00 Session (2): Data Science and Sustainable Energy
  • Alexander Szimayer, Universität Hamburg: "The Right Model for the Right Time: Applying Mixture of Experts for Electricity Price Forecasting"
  • Jasper Aeschlimann, Forrs: "Energy Price Forecasting for BESS Market Operations"
  • Iris Schmitz-Kleinhenz / Maximilian Hermann, EnBW: "Versorgungssicherheit, Bezahlbarkeit und Klimaschutz: Die Verwendung von Daten und KI in der Energiewirtschaft unter dynamischer Gesetzgebung"
13:00 - 14:00 Lunch break
14:00 - 16:00 Session (3): Data Science in Medicine and Pharmacy
  • Christof Babinsky, ASB Glassfloor: "Wie ein Sportboden aus Glas Indoorsport revolutioniert und interaktive Trainings, Preventions, und Performance Möglichkeiten bietet"
  • Josef Schepers, Berlin Institute of Health: "Annäherung an die KI-Bereitschaft für die Forschung zu Seltenen Krankheiten durch Dokumentationsentwicklung im Deutschen Netzwerk Universitätsmedizin"
  • Ulrich Sax / Rüdiger Breitschwerdt, German Association for Medical Informatics, Biometry and Epidemiology and GI ILW: "Translational Research needs the whole bandwith of Medical Data Science"
  • Helena Pelin Saric, Steadforce: "From models to decisions: Data Science in sensitive medical contexts"
16:00 - 16:30 Coffee break
16:30 - 18:00 Session (4): Data Science in Research
  • Xiaoxiang Zhu, TUM: "Data Science in Earth Observation"
  • Wolfgang zu Castell, GFZ Helmholtz-Zentrum für Geoforschung/LMU: "Planet Earth — moving towards a digital twin?"
  • Frauke Kreuter, LMU: "High Quality Data for Training and Alignment of AI Models"
18:00 - 18:15 Wrap up