Accelerate-C2D3 Funding Call for Novel Applications of AI for Research and Innovation 2024
20 May 2024
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.