Data Science Center

The project aims to foster collaboration among researchers in digital literary studies from across Europe through regional network meetings and guest lectures, thereby creating a strong network for the consolidation of methods and theories.

As part of the Digital Humanities Lunchtalks, the DSC, SuUB and the BIS brought together researchers from Bremen and Oldenburg for a discussion. The online series once again demonstrated how collaboration within the Northwest Alliance is providing new impulses for digital methods in the humanities.

As part of the interdisciplinary master’s program in Neurosciences, the DSC taught the fundamentals of research data management and FAIR data. The course demonstrates how DataNord helps integrate data literacy into academic education at an early stage.

Representatives from DKZ, NFDI, and state RDM initiatives met in Dresden to exchange ideas on data literacy and research infrastructures. The focus: sharing experiences, learning from one another, and developing joint approaches for sustainable support structures.

For the DFG Priority Program 2433, the DSC developed a tailored online format on research data management and FAIR data. Dr. Susanne de Vogel and Sarah Büker provided practical guidance on the fundamentals of responsible research data management.

At the DaDiSC-Workshop in Bielefeld, representatives from nine institutions gathered to discuss the community’s future development. The DSC contributed its expertise particularly to the topics of research digitization and strategic development.

Following the workshop at DHd2026, Annika Nolte and Nele Fuchs have now introduced the topic of AI-assisted audio transcription into teaching at the University of Bremen. The focus was on qualitative research, data protection and practical transcription workflows using Whisper and NoScribe.

How much energy do ML models require? Timo Laudi and Rolf Drechsler from the DSC addressed this question in their paper “Hardware-Agnostic Energy Benchmarking for Machine Learning.” The paper was presented by Laudi on March 18, 2026, at MBMV 2026, where it contributed to the scientific exchange.

This DSC Seed Grant funds the advancement of an AI-supported workflow used for the systematic extraction of information from one of the most comprehensive movement records in early modern Central Europe. The project aims to convert historical visitor lists into a quantitatively analyzable data set.

At the 75th meeting of the German Data Forum (RatSWD), our coordinator Lena Steinmann presented the Data & Digital Science Community (DaDiSC) together with partners from Kiel and Hamburg. The discussion focused on sustainable structures for data-intensive research.