NFDI4DS Conference 2026 — AI Meets RDM

Two days on the overlap between research data infrastructure and AI, at the Weizenbaum Institute in Charlottenburg, running lunch-to-lunch across 5 and 6 November.

The programme splits in two directions: research data management infrastructure built for AI, and AI applied to running that infrastructure. The call for participation took talk, poster and demo submissions through EasyChair, so the content is contributed rather than built around keynotes, and the speaker list was not published at the time of writing. The organising committee is Sonja Schimmler (Fraunhofer FOKUS, TU Berlin, Weizenbaum Institute), Christine Hennig (Fraunhofer FOKUS), Julia Michalsky (TU Berlin) and Leyla Jael Castro (ZB MED). A science slam closes the first evening. Registration runs through HIFIS; the main entrance and parking are wheelchair accessible.

Why go: the people who hold Germany's research datasets talking about making them machine-usable, which sits upstream of a lot of applied AI work. Best for data engineers and anyone building on public research data. Not a founder-networking room.