News

At IJCAI-ECAI 2026, the Data Science Centre will be represented as part of the University of Bremen’s exhibition stand. From 18 to 20 August, the DSC will be showcasing its services and activities relating to data science, data literacy and research data management.

At GECCO 2026, Nils Leusmann presented the latest developments in the open-source Tool EvoAl. The contribution demonstrates how the DSC is breaking down barriers to the use of optimization and machine learning as well as contributing to data science research on an international scale.

In a contribution at the Research Software Engineering Event RSE Day 2026 in Hamburg, Nils Leusmann presented the open-source data-science tool EvoAl. The software offers researchers a user-friendly approach to create data management plans using innovative programming language.

From July 13–17, 2026, the DSC, BIPS and ZMT collaboratively hosted the Summer School "Location Matters: Geospatial Methods for Health Scientists, Social Scientists, and Geoscientists“, an interdisciplinary training event designed to enable participants to work effectively with spatial data.

How can complex optimization problems be solved efficiently and reliably when data is uncertain, dynamic, or only partially known? This question will bring together around 60 researchers from August 10-14, 2026, for the international Chilean-German Workshop on Combinatorial Optimization in Bremen.

Shaping the future of data-driven research in content moderation: on August 30, 2026, the workshop will bring together academia and industry to discuss research methods, promote knowledge exchange and support the development of novel solutions.

Drawing on experiences from the Data Competence Center DataNord, the article examines challenges related to data literacy in the marine environmental sciences and discusses approaches to make data literacy and research data management more accessible and practical for researchers.

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.

At an international workshop on business data collection, the DSC presented a methodological framework for integrating web data and Natural Language Processing into business statistics. The approach builds on methodological expertise developed within the data competence center “DataNord”.

“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.