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

    Early Career Researcher Innovation Grants

    Early Career Researcher Innovation Grants support early-career investigators in mentored suicide-focused research to understand suicide risk and test preventive treatments and interventions.

    Browse similar grants
    Early Career Research Grants for New FacultyCancer Research Grants 2026Research Grants Due This Month

    Funder: American Foundation for Suicide Prevention

    Due Dates: November 15, 2026 (Application)

    Funding Amounts: Up to $140,000 over two years, including $14,000 for mentorship

    Summary: Supports early-career investigators conducting suicide-focused research to understand suicide risk or test preventive treatments and interventions.

    Key Information: Applicants must have completed doctoral studies, rank no higher than assistant professor, and never held a federal R01 or equivalent.


    Description

    The American Foundation for Suicide Prevention (AFSP) supports early-career researchers conducting independent studies with guidance from an established research mentor. Eligible work includes basic science, applied research, treatment feasibility studies, and studies adding a distinct suicide component to an existing funded project. Suicide or suicide prevention must be central to the study, with at least one suicide outcome measure. The program seeks new directions and initiatives rather than support for an investigator’s existing research.

    AFSP welcomes applications across academic disciplines. Its 2024–2026 priorities emphasize ethnic and racial diversity, underrepresented communities, health and mental health disparities, understudied populations or settings with elevated suicide rates, and the impact of suicide loss and healing. Strong priority-area proposals receive preference within the general review pool.


    Atom

    See the full grant listing

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