FHNW co-leads the 4th International HybridAIMS Workshop at CAiSE 2026
The FHNW School of Business reinforced its position as a leading contributor to trustworthy artificial intelligence research by co-organising the 4th International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling (HybridAIMS 2026) at CAiSE 2026, one of the world's premier conferences in information systems engineering.
The workshop brought together international researchers and industry experts to explore Hybrid and Neurosymbolic AI—an emerging approach that combines machine learning with knowledge-based reasoning to create AI systems that are not only powerful, but also transparent, explainable, and trustworthy.
International Research and Debate
A total of 11 international submissions were received, with four full papers and one short paper selected for publication in Springer's Lecture Notes in Business Information Processing (LNBIP) series. Research topics ranged from biomedical discovery and education to enterprise architecture and process mining.
Highlights included a keynote by Prof. Dr. Ivan Donadello (Free University of Bozen-Bolzano) on neurosymbolic AI and process mining, and a fireside chat moderated by Dr. Emanuele Laurenzi (FHNW) featuring Dr. Alessandro Oltramari (Bosch Research and Carnegie Mellon University) on the industrial adoption of neurosymbolic AI.
The event attracted renowned scholars and sparked lively discussions on the future of explainable AI in business and society.
FHNW Driving Innovation
For FHNW, HybridAIMS is more than a workshop series. Led by Dr. Emanuele Laurenzi and Prof. Dr. Hans-Friedrich Witschel, it reflects the university's commitment to applied, interdisciplinary research that transforms cutting-edge AI developments into practical solutions for industry. By advancing research in Hybrid and Neurosymbolic AI, FHNW is helping shape the next generation of intelligent systems for high-stakes domains where trust, transparency, and accountability are essential.
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