Read the current Call for Proposals for AI + Social Sciences Grants here. Applications due May 8, 2020.
The emerging field of artificial intelligence holds great promise for improving how science is conducted, through innovations in data analysis, image classification, hypothesis generation, and more. Basic scientific research at academic institutions and national laboratories will be essential for establishing the fundamentals of these approaches and how they can be successfully applied across fields of research.
In early 2019, an AI Joint Task Force was formed by members of the University of Chicago, Argonne National Laboratory (ANL), Fermi National Accelerator Laboratory (FNAL), and Toyota Technological Institute at Chicago (TTIC).
The goal of this program is to encourage new interactions between the University, TTIC, and the national laboratories, provide unique educational experiences for students, and position the institutions to successfully secure future large-scale federally-sponsored research programs.
This funding program is part of a larger joint task force, organized by the University of Chicago’s Office of Research and National Laboratories in collaboration with the Center for Data and Computing, aimed at increasing interactions among UChicago, ANL, FNAL, and TTIC. The task force builds upon existing collaborations and aims to position our organizations for current and anticipated funding opportunities.
AI Joint Task Force Members
James Amundson, Fermi National Accelerator Laboratory
Ian Foster, Argonne National Laboratory, University of Chicago
Michael Franklin, University of Chicago
Julia Lane, University of Chicago
Brian Nord, Fermi National Accelerator Laboratory, University of Chicago
Rebecca Willett (Chair), University of Chicago
Previously Funded Projects
Neural Network Algorithms to Decode the Octopus Neural Network
