Early-stage ideas are often too risky for traditional funding sources and require support to demonstrate feasibility and preliminary results. This is particularly important for projects that are interdisciplinary, ambitious, and expand the boundaries of existing scholarship.
CDAC Discovery Grants
Discovery Grants provide risk-tolerant seed funding for innovative data science projects intended to achieve a clear impact on major scientific, scholarly, and societal questions.
Grant recipients will also benefit from a suite of resources designed to help projects scale:
- Identification of follow on funding: assistance in developing customized, long-term plans for securing external funding in subsequent stages of the project.
- Interdisciplinary networks: access to our network of academic, civic, government, and industry connections.
- Community: engagement with the University data science community and beyond, through quarterly receptions for all grant cohorts, workshops, and speaker series.
- Communications: amplification of research results through our website, news articles, and events.
- Student & technical talent: identification of talented students through our summer internship program and access to technical staff.
Visit our research page to learn more about our project’s investigators, outcomes, and discoveries.
Our Autumn 2019 cycle has closed. We will announce the next call for CDAC Discovery Grant proposals in mid-2020. Join our mailing list to receive information about the 2020 application process. You can review our most recent RFP here.
AI + Science Grants
Research funding for AI + Science research projects among the University of Chicago, Argonne National Laboratory, Fermi National Accelerator Laboratory, and Toyota Technological Institute at Chicago. You can review our most recent RFP here to learn about upcoming deadlines.
Visit our research initiative page to learn more about our project’s investigators, outcomes, and discoveries.