News Article September 03, 2025

Research Seminar by Prof. Ingmar Weber

Prof. Ingmar Weber presented his group's work on applying AI and data science methods to societal challenges using innovative data sources like satellite imagery and exploring applications of LLMs.

Research Seminar by Prof. Ingmar Weber

Yesterday, were happy to host Prof. Ingmar Weber for an engaging research seminar, where he presented the impressive breadth of data science applications to societal questions and challenges. Prof. Weber is an Alexander von Humboldt Professor in AI at Saarland University where he holds the Chair for Societal Computing.

During his talk, Prof. Weber demonstrated how his group applies AI to various non-traditional data sources, such as satellite imagery, which can reveal population movements and demographic shifts by analyzing urban land use over time. Another aspect of the seminar was the role of large language models (LLMs) in political opinion-forming, showing that they can be used as tools for analyzing the political discourse but also enable chatbots that give voting advice.

In addition, Prof. Weber introduced the SOUNDS (Societal Observatory Using Novel Data Sources) initiative, a recently launched project supported by Saarland’s Transformation Program for Research and Knowledge Transfer. This project aims to leverage unconventional data sources and research methodologies to bridge the gap between innovative, empirical studies and their application to pressing societal issues.

We thank Prof. Weber for the time to share his group’s fascinating work and the insightful presentation.

Other News

ESCADE Closing Event: Three Years of Research on Energy-Efficient AI

On 30 July 2026, more than 50 guests from research, industry and public administration came to DFKI Saarbrücken for the closing event of the ESCADE project. After three years, the consortium coordinated by Prof. Wolfgang Maaß presented how the energy demand of AI can be reduced by up to 90 percent – and drew wide media attention in the days around the event.

Read More →

How AI Becomes Significantly More Energy Efficient – Press Coverage of the ESCADE Results

Ahead of the closing event of the ESCADE project, Saarland University issued a press release on the results of the research consortium led by Prof. Wolfgang Maaß: how the electricity demand of AI can be cut by up to 90 percent through smaller models, automated network design and neuromorphic hardware.

Read More →

Paper Presentation at ICML 2026

Maxx Richard Rahman presented STT-LLM, a structural-temporal tokenization framework for adapting Large Language Models to longitudinal clinical profiles, in the Main Track of ICML 2026 in Seoul.

Read More →