** Call for Participation **
We are pleased to open the registration for the SAIL Spring School 2026, which will take place from 17–19 March 2026 at Paderborn University, Germany. Organized by the SAIL Research Network (Sustainable Life-cycle of Intelligent Socio-Technical Systems), the Spring School offers interdisciplinary perspectives on resilience and artificial intelligence, bringing together technical, theoretical, and socio-technical viewpoints. Over the course of three days, participants will gain insights into current research on knowledge-driven AI methods, explainability, and the role of AI in engineering robust and sustainable systems. A poster session and several social activities will provide further opportunities for exchange and networking. - Participation is free of charge, but due to limited capacity, registration is required. - All details and the registration form can be found here: https://indico.uni-paderborn.de/e/SAILspringschool https://indico.uni-paderborn.de/e/SAILspringschool- Registration deadline: 5 January 2026.
We are happy to announce the following speakers and topics at the summer school:
- Knowledge Representation as Political AI (Prof. Stefan Schlobach, Vrije Universiteit Amsterdam)
- Data-efficient learning of physics systems by exploiting knowledge (Prof. Sebastian Peitz, TU Dortmund)
- Symbol emergence in explainable and continual learning (Prof. Natalia Diaz Rodriguez, University of Granada)
- Chances and Limits of AI in the Engineering of Resilient Software Systems (Prof. Eric Bodden. Paderborn University)
- Engineering Cognitive Sustainability: How to Implement Social XAI (Prof. Kary Främling, Umeå University)
- TBD (Prof. Sina Zarrieß, Bielefeld University)
- TBD (Prof. Eyke Hüllermeier, LMU München)
- TBD (Prof. Marco Platzner, Paderborn University)
Further information about the SAIL Research Network can be found at: https://www.sail.nrw/ https://www.sail.nrw/