The mission of VSR is to advance knowledge in distributed and self-organizing systems. Our research, education, and innovation focus lies on Internet, Web, and Social Media.
VSR at the ENFIELD Trustworthy AI Workshop
Our team member Sebastian Heil presented our ongoing work on AI Bias Management at the ENFIELD Trustworthy AI Workshop in Paphos, Cyprus. In his talk, he addressed bias as a risk in AI-infused web systems and introduced an infrastructure to help software architects identify and manage such risks. The approach is based on automatically checking […]
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Research visit by Tamara Drucks
We are pleased to host Tamara Drucks from TU Wien for a research visit in our group. Her PhD work focuses on machine learning, with particular emphasis on graphs and privacy. In the ENFIELD project, she is currently working on mapping legal requirements to measurable machine learning properties as a first step toward automated compliance […]
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VSR at Trustworthy AI Workshop
Our team member Sebastian Heil gave a talk at the joint ELIAS ELLIOT and ENFIELD Theme Development Workshop on Trustworthy AI in which he presented ongoing work on the human perception of AI trust. The workshop brought together European AI experts to discuss ongoing research activities in the areas of frugality, fairness and trust.
VSR Professorship hosts General Assembly of European AI Network of Excellence ENFIELD at TUC
From February 17 to 19, 2026, the VSR Professorship welcomed around 40 international AI experts for the General Assembly of the European research project ENFIELD. As part of this prestigious network – one of only nine AI Networks of Excellence funded by the European Commission – the VSR team played a central role in coordinating […]
VSR at 6. SaxFDM Tagung
At this year’s SaxFDM Tagung, our team members Jan Haas and Christoph Göpfert held a workshop titled “Natürlichsprachliche Abfrage forschungsdatenorientierter institutioneller Wissensgraphen mittels großer Sprachmodelle” in context of the HYP*MOL project. In the workshop, they showcased how large language models can translate natural-language queries into SPARQL requests, enabling an intuitive exploration of complex knowledge graphs. […]
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