Atom Grants
Discover
  • Dashboard
  • Search
  • Deep Research
  • Favorites
  • Projects

    Idea Grants

    Internal — Ohio State University only

    Idea Grants support Ohio State University’s cancer research community with seed funding for high-risk research and implementation science to advance cancer care and build toward future NCI funding.

    Browse similar grants
    Cancer Research Grants 2026

    Funder: Ohio State University

    Due Dates: August 31, 2026, at 5 pm ET (Fall 2026) | January 29, 2027, at 5 pm ET (Spring 2027; Idea Award availability requires confirmation)

    Funding Amounts: $75,000 per year for two years ($150,000 total; Fall 2026 Idea Award)

    Summary: Seed funding for high-risk cancer research and implementation science that can generate preliminary data, collaborations, and future NCI funding.

    Key Information: All PIs must participate in Pelotonia and raise at least $1,250 each, unless a stated waiver applies.


    Description

    Ohio State University’s Comprehensive Cancer Center – James (OSUCCC – James) offers Idea Grants through its Intramural Research Program (IRP), using Pelotonia and donor funding. The program supports high-risk, high-payoff cancer research for which external grants are difficult to obtain. Seed funding is intended to generate critical preliminary data, new collaborations, and discoveries that advance cancer science, prevention, and treatment, positioning projects for future National Cancer Institute (NCI) R-level grants.

    The program also supports projects leading to implementation science awards. For these projects, innovation centers on establishing new standards of care in prevention, early detection, and treatment rather than on the hypotheses themselves. Funding considerations include interdisciplinary collaboration, innovation, potential impact on cancer treatment, and contribution to the OSUCCC – James mission.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.