Data Pipelines for Science Spring School – Registration now open
21 February 2023
07 March 2023
In September 2022, Accelerate partnered with the University of Tuebingen and the University of Wisconsin Madison to deliver a Dagstuhl workshop on ‘Machine learning for science: bridging data-driven and mechanistic modelling’.
This developed a research agenda that identifies areas where further technology development is needed to create AI tools for scientific discovery, and a roadmap for researchers, research institutions, and policymakers to collaborate in support of a new wave of progress in AI for science.
Two outputs emerged from these discussions:
AI for Science: An emerging agenda, the report outlining this emerging agenda and roadmap is available hereand on arXiv:
Berens, P., Cranmer, K., Lawrence, ND, von Luxburg, L., Montgomery, J. “AI for Science: An Emerging Agenda”, arXiv 2023 https://doi.org/10.48550/arXiv.2303.04217
You can view a graphic summary of discussions here.