The University of Chicago received a $800,000 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support research activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070).
The four-year award, made on August 1, 2021, will fund the "Collaborative Research: Frameworks: Convergence of Bayesian Inverse Methods and Scientific Machine Learning in Earth System Models through Universal Differentiable Programming" project. The project aims to advance the development and use of research cyberinfrastructure through investigator-initiated research applying machine learning and Bayesian statistical methods to earth system modeling. This work supports the grant program's goal of enabling and accelerating scientific discovery and innovation through computing and information science research.
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