Data Science Center

The Data Science Center took part in the University of Bremen’s OPEN CAMPUS 2026 with an interactive booth at the MZH. At the Data Wheel of Fortune, visitors could test their knowledge of data, AI, and data science, and win small prizes.

“CHERI-VP” enables the early evaluation of CHERI-enabled embedded RISC-V systems through virtual prototyping and benchmark-driven analysis. The simulation-based approach thus contributes to the systematic study of secure hardware-software co-design for emerging embedded computing platforms.

Together with partners from the University of Oldenburg, the Data Science Center has successfully secured a project under the Northwest Advanced funding line. The "Data Encounters Northwest" initiative intends to foster the development of new cross-campus collaborations in the field of data science.

The collaboration between the ZeMKI Lab for Digital Communication and Information Diversity (University of Bremen) and the Science Communication Department at the IKMZ (University of Zürich) aims to research digital transformation processes in science communication using data-driven approaches.

By developing a reproducibility engine, the project makes it possible for the first time to automatically verify the reproducibility of empirical studies. This addresses a weak point in the transfer of knowledge and lays the groundwork for well-informed real-world decisions.

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.