| Time: | October 7 – 10, 2025 |
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| Venue: | University of Stuttgart, Internationales Begegnungszentrum IBZ Robert-Leicht-Straße 161 70569 Stuttgart |
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In this interactive workshop, we aim to extract and structure the often hidden fundamental concepts that are behind the design or usage of methods of machine learning (ML). The workshop shall foster reflection and spark debate on how we can use ML in science, critically questioning which developments will likely live up to their expectations, and which ones bring the most potential for new, interdisciplinary ideas. It is essential to regard these developments from different perspectives.
We aim to bring together different fields ranging from physics to engineering and philosophy of science and AI. Internationally renowned experts will give keynote lectures on three pillars of ML for science: knowledge infusion, explainability, and knowledge extraction. We will further discuss these topics in plenary sessions and break out groups to carve out “blue skies” opportunities in an interdisciplinary context that wouldn’t have emerged in isolated fields.
We look forward to welcoming a diverse mix of leading experts and eager to share and learn participants to Stuttgart!
