Interdisciplinary Computing and AI
The University of Münster has a highly diverse range of disciplines which fosters state-of-the-art research, teaching and transfer in joint projects between computing, science and humanities – an excellent prerequisite for research conducted in the emerging field “Interdisciplinary Computing and AI”. Its excellent theory and algorithmic developments, along with interdisciplinary collaborations, generate innovative research questions and cross-disciplinary applications within this unique research landscape. These advances have socio-ethical implications and highlight new limitations and challenges which are addressed by social sciences and law. Ultimately, this feeds back into new theoretical investigations so that the University of Münster is one of the few institutions covering all aspects of computing and AI in an integrative fashion, including the analyses of effects on and the translation into a vast variety of academic disciplines such as social sciences, law and the humanities.
This is reflected by its outstanding research centres, initiatives and dedicated research groups, all of which transcend traditional faculty boundaries and links the latest digital advances across disciplines. These include study and research into theoretical fundamentals backed by “Mathematics Münster” (EXC2044), the natural sciences, like the priority programme “Molecular Machine Learning” (SPP2363) and the collaborative research centre “Intelligent Matter” (CRC1459) and the “Center for Digital Humanities”. These are accompanied by corresponding teaching initiatives, e.g. the interdisciplinary InterKIWWU network.
Spotlights: Teaching and Transfer
Data literacy - digitale Quellenkunde für Historiker*innen
Summer School AI Med Camp – Training von Doktoranden
Infrastructures and research centres