Department of Data Science

The Department of Data Science, founded in 2021 as part of the Bavarian High-Tech Agenda, brings together mathematics, statistics, and computer science to advance data-driven research and innovation. Working across disciplines, the Department develops analytical and computational methods to understand complex systems and tackle contemporary challenges. It offers a broad portfolio of study programmes in close collaboration with the Department of Mathematics.

Lehrpreis der Naturwissenschaftlichen Fakultät für Prof. Dr. Cornelia Schneider

Prof. Dr. Cornelia Schneider, Interim Professor for Stochastic Methods am Department of Data Science, hat den Preis für gute Lehre der Naturwissenschaftlichen Fakultät (NAT-Lehrpreis) 2026 erhalten.Diese Auszeichnung würdigt die herausragende fachliche und didaktische Qualität der Lehre der Preisträgerinnen und Preisträger sowie deren überaus großes Engagement für die Lehre. Die Preisträgerinnen und Preisträger werden von den […]

Neu am Department: Prof. Dr. Frederik Nagel

Das Department of Data Science heißt Herrn Prof. Dr. Frederik Nagel als neuen Professor für Human-Centered Data Science herzlich willkommen. In seiner Forschung verbindet er Audio- und Videosignalverarbeitung mit Methoden der Künstlichen Intelligenz. Ein Schwerpunkt liegt dabei auf der empirischen Erforschung menschlicher Wahrnehmung und Emotionen sowie Art und Qualität der Interaktion mit Medien. Ziel der […]

New Research Project “ProFlexGrid” Funded

We are pleased to announce that the research project ProFlexGrid – Probabilistic Flexibility Optimization in Controllable Low-Voltage Grids through Sector Coupling has been approved for funding by the German Federal Ministry for Economic Affairs and Energy (BMWE). Within ProFlexGrid, researchers from academia and industry will develop new methods for the probabilistic and predictive operation of […]

Minisymposium on Explainability and Interpretability in Optimization at SIAM OP26

02JUN 2026

General

Minisymposium on Explainability and Interpretability in Optimization at SIAM OP26

On June 2, 2026, Dr. Michael Hartisch (University of Passau) and Dr. Kevin-Martin Aigner (FAU) organized the minisymposium “Explainability and Interpretability in Optimization” at the SIAM Conference on Optimization (SIAM OP26) in Edinburgh, United Kingdom. The minisymposium brought together researchers working at the intersection of mathematical optimization and explainable artificial intelligence. The presentations addressed recent […]

New European Marie-Curie Doctoral Network “ALMOA” funded

International Workshop on Explainability and Interpretability in Optimization

Department of Data Science

News

Lehrpreis der Naturwissenschaftlichen Fakultät für Prof. Dr. Cornelia Schneider

Neu am Department: Prof. Dr. Frederik Nagel

New Research Project “ProFlexGrid” Funded

Minisymposium on Explainability and Interpretability in Optimization at SIAM OP26

New European Marie-Curie Doctoral Network “ALMOA” funded

International Workshop on Explainability and Interpretability in Optimization

Events

Department of Data Science

News

Lehrpreis der Naturwissenschaftlichen Fakultät für Prof. Dr. Cornelia Schneider

Neu am Department: Prof. Dr. Frederik Nagel

New Research Project “ProFlexGrid” Funded

Minisymposium on Explainability and Interpretability in Optimization at SIAM OP26

New European Marie-Curie Doctoral Network “ALMOA” funded

International Workshop on Explainability and Inter­pretability in Optimization

Events

International Workshop on Explainability and Interpretability in Optimization