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Garrett Lee Smith (GLS) Campus Suicide Prevention Grant

This funding record is inactive. Please see the program website or contact the program sponsor to determine if this program is currently accepting applications or will open again in the future.

Catalog of Federal Domestic Assistance Number: 93.243
Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services
Feb 5, 2021

For program and eligibility questions:
Rosalyn Blogier

For fiscal and budget questions:
Corey Sullivan

For grant review process and application status questions contact:
Angela Houde


The Garrett Lee Smith (GLS) Campus Suicide Prevention Grant will support a public health approach to develop a comprehensive, collaborative, and evidence-based approach to:

  1. Enhance mental health services for college students, including those at risk for suicide, depression, serious mental illness (SMI)/serious emotional disturbances(SED), and/or substance use disorders that can lead to school failure
  2. Prevent mental and substance use disorders
  3. Promote help-seeking behavior and reduce negative public attitudes
  4. Improve the identification and treatment of at-risk college students so they can successfully complete their studies

Eligible applicants include private and public nonprofit institutions of higher education, including Tribal colleges and universities.

Geographic coverage
Amount of funding

Award ceiling: $102,000 per year
Project period: 3 years
Expected number of awards: 24
Estimated total program funding: $2,450,504

Application process

Links to the full announcement, application instructions, and the online application process are available through

Tagged as
Substance use and misuse · Suicide and suicide prevention · Wellness, health promotion, and disease prevention

For complete information about funding programs, including your application status, please contact funders directly. Summaries are provided for your convenience only. RHIhub does not take part in application processes or monitor application status.