Spring research school on science and applied AI

ORLab highlighted the second working day of the 2026 Spring School, featuring talks and discussions around scientific research and applied artificial intelligence.

The programme created a space for students, researchers, and guests to exchange ideas about how scientific methods can be connected with practical problems. The conversations also showed how artificial intelligence can support analysis, prediction, and decision-making across different domains.

Learning through collaboration

Research schools are valuable because they make room for questions, open discussion, and connections across disciplines. Beyond individual talks, participants gain a broader view of how research projects are formed, tested, communicated, and improved.

ORLab is happy to contribute to an academic community that encourages curiosity, collaboration, and the responsible application of new methods.