CAAPS Workshop on SciML Frontiers
On 22nd and 23rd September 2026, we hosted the CAAPS workshop SciML Frontiers: Progress, Evolution, and Future Directions at the University of Augsburg. The goal was to bring together researchers from academia and industry to evaluate where scientific machine learning stands today, and to discuss where it should go next.
The format put the emphasis on working rather than listening. A keynote by Chris Rackauckas, VP at JuliaHub and co-PI of the Julia Lab at MIT, and a number of short talks set the stage, but most of the two days went into breakout sessions along four tracks: the numerical foundations of SciML, going beyond prediction towards control and optimization, automation and scalability from prototype to production scale, and domain awareness and interpretability. The discussions were lively throughout, and their results will feed into a joint article on the current state and the future directions of the field.
Thank you to everyone who joined for the many excellent contributions and for the open and collaborative atmosphere - it was exactly what we had hoped for when bringing together people from such different corners of SciML. The workshop was organized by Andreas Hofmann and Lars Mikelsons of the Chair for Mechatronics jointly with the HPSC Lab.