AIM for Science
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AIM for for Science – Unlocking the Potential of Artificial Intelligence for Research

Advances in computing power, the growing availability of large datasets, and recent developments in machine learning have made artificial intelligence (AI) a key driver of modern research. Today, AI supports a wide range of scientific activities, from analyzing complex data and designing experiments to developing data-driven models and generating new hypotheses. Its integration into the scientific discovery process is opening up new opportunities for innovation and knowledge creation across disciplines.

Our „AIM for Science“ (Artificial Intelligence Münster) initiative seeks to bring together AI expertise and research needs from across the University of Münster. At its core is the close collaboration between methodological and application-oriented disciplines, creating new impulses both for the advancement of AI and for its use in addressing scientific challenges. By connecting researchers and research groups within the university and building strategic partnerships with external researchers, institutions, and stakeholders, AIM for Science aims to foster an environment that lowers barriers to the adoption of AI, strengthens interdisciplinary exchange, and creates new opportunities for collaboration both within and beyond the university.

 

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Workshop series "AIM for ..."

"AIM for ..." is the interdisciplinary workshop series of the "AIM for Science" initiative. It connects researchers at the University of Münster who use artificial intelligence and machine learning in their research or whose work may benefit from these methods in the future, and is enriched by contributions from external experts. Each edition focuses on a scientific topic in which AI opens up new methodological approaches.

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The AI Map

Following the motto “Navigating the AI Landscape @ Münster University”, our AI Map provides an overview of the diverse AI ecosystem at Münster University. It includes research groups that develop and apply AI, as well as those exploring its implications for society, law, ethics, and education. In addition, the map features institutions, services, and contact persons related to artificial intelligence across the university.

  • Upcoming Workshop: AIM for the Social Sciences

    Planning for this workshop is already underway. It will take place in winter 2026, and information on the date and programme will be published here as soon as it becomes available. If you would like to stay informed, you can join our mailing list to receive updates on this workshop as well as on other CDSC activities.

  • Upcoming Workshop: AIM for Sustainability

    Planning for this workshop is already underway. It will take place in autumn 2026, and information on the date and programme will be published here as soon as it becomes available. If you would like to stay informed, you can join our mailing list to receive updates on this workshop as well as on other CDSC activities.

  • Past Workshop: AIM for the Brain

    From artificial to natural intelligence: As machine learning systems become increasingly powerful at recognizing patterns and modeling complex dynamics, they are also being used more and more in cognitive neuroscience to investigate fundamental questions: How does the brain generate thoughts, memories, perception, and actions? And how can data-driven models help uncover the underlying principles of these processes? Ultimately, could artificial intelligence help us better understand natural intelligence?

    Link to the workshop