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Solicitation: AI + Science RFP Spring 2020 | Applications Due: April 7, 2020 (11:59 PM CT)

The AI + Science research grants program will support collaborative projects between the University of Chicago, Toyota Technological Institute at Chicago (TTIC), Argonne National Laboratory (ANL), and Fermi National Accelerator Laboratory (FNAL). The goal of this program is to 1) encourage new interactions between the University, TTIC, and the national laboratories, 2) provide unique educational experiences for students, and 3) position our 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, and in collaboration with the Center for Data and Computing (CDAC), 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.

Due to the volume of applications we receive, we will be unable to provide reviewer feedback on applications that are not funded. We look forward to your application. Please contact Julia Lane ( with any questions.

How to Apply

We encourage all members of the University community with PI status to review the Spring 2020 RFP and apply. Applications for all funding tracks can be found online at InfoReadySubmissions are due at 11:59 pm CT on Tuesday, April 7, 2020. The earliest project start date is July 1, 2020.

Apply Here: Research Projects

Apply Here: Workshops

Previously Funded Projects

Neural Network Algorithms to Decode the Octopus Neural Network

Is Climate Change Changing Clouds?

Automated Experimental Design for Cosmic Discovery

  • AI + Science Funding Tracks
  • AI + Science Research Projects

    Projects may focus on broad and cross-cutting topics of relevance to the Department of Energy such as, but not limited to:

    • Experimental Design and Hypothesis Generation: How do you discover new things in large, complex data sets?
    • Simulation and Experimental Data: How is domain science incorporated into AI algorithms? 
    • Representation Learning for Science: How do we match the symmetries and representation in our data to the architectures of our algorithms?
    • Explainable AI: How do we understand or interpret outputs from AI algorithms?
    • AI at Scale: How do we scale algorithms to tackle problems with large data and distributed systems?
    • Hardware: What advanced hardware and architectures are required to support AI?
    • Reliable AI: How do we develop decision-making algorithms with reliability guarantees such as robustness and safety?

    Awards will be available for up to $75,000 for a period of 12 months.

  • AI + Social Sciences Research Projects

    For the Spring 2020 RFP, we are pleased to provide funding specifically in support of AI for Science projects that include the social sciences. AI and social science topics should have DOE relevance, such as, but not limited to:

    • Smart Cities: How do we safely and synergistically integrate intelligent technologies with natural/built environments to develop connected and smart cities?
    • Decision Making & Threat Detection: How can we harness the data revolution and behavioral science to advance planning, analysis, threat detection, and decision making to support our national security. 
    • Transportation: What are the next generation transportation solutions that will address our nation’s changing mobility challenges?

    Awards will be available for up to $75,000 for a period of 12 months.

  • AI + Science Workshops

    For the Spring 2020 RFP, we are pleased to consider proposals to support workshops, invited speaker talks, working groups, or other convenings focused on AI + Science research topics. Proposals should facilitate the development of new collaborations between the University and National Labs. Awards will be available for up to $15,000 for a period of 12 months.