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Digital Global Mental Health Program is sponsored by National Institute of Mental Health (NIMH) - NIH. This program supports research on the development, testing, implementation, and cost-effectiveness of digital mental health technologies.
This includes studies that develop or adapt digital mental health technologies to improve screening, assessment, treatment uptake, or management of mental illness, as well as research leveraging social media for data mining and tracking mental illness trajectories.
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Digital Global Mental Health Program - National Institute of Mental Health (NIMH) Due to current HHS and NIH restructuring, some content on nimh. nih. gov is not being updated regularly.
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Advisory Boards and Groups Digital Global Mental Health Program This program supports research on the development, testing, implementation, and cost effectiveness of digital mental health technologies that are appropriate for different populations and settings. It supports innovative digital mental health technology research for prevention, diagnosis, treatment, and management of mental disorders.
This program is interested in research that tests generalizable principles or approaches in the use of technology, encourages research on known challenges with uptake and sustainability of digital health technology-based approaches, and addresses ethical considerations associated with the use of digital technologies for research and clinical purposes.
NIMH encourages applicants to use existing hardware/software and data from existing commercial and open-source digital health applications and online platforms, where appropriate. This program also supports strategies aimed at building and/or strengthening research capacity for leveraging digital technologies to address the global mental health burden.
Collaborative research partnerships with social and behavioral scientists, technology developers, engineers, health systems specialists, data scientists, designers, end-users, ethicists, patient advocates, and key interest-holders are highly encouraged.
Researchers are encouraged to review NOT-MH-18-031 and the NIMH Advisory Council Report Opportunities and Challenges of Developing Information Technologies on Behavioral and Social Science Clinical Research , a report that summarizes the science, future directions, and potential research pathways.
The overall goal of this program is to contribute to NIMH’s mission of transforming the understanding and treatment of mental illnesses through innovative research on digital mental health technologies. Studies that develop/adapt, test, and optimize the efficacy or effectiveness of digital mental health technologies designed to improve screening, assessment, treatment uptake, and/or management of mental illness.
Studies that develop/adapt, test, and optimize the efficacy or effectiveness of new or emerging digital mental health technologies, platforms, systems, and analytics (e.g. machine learning algorithms, reinforcement learning algorithms, artificial intelligence, etc.) to improve prevention, diagnosis, treatment, and adherence.
Studies that improve digital and mental health literacy skills to enhance the effective use of digital health technologies to drive engagement and improve mental health outcomes.
Research projects that develop and/or test the effectiveness of models for supporting providers, community health workers, non-specialists, and/or health systems in using digital mental health technologies to enhance the monitoring, delivery, or quality of mental health care.
Studies that develop and test the promotion and monitoring of digital health skill acquisition among patients and/or providers in order to enhance or sustain therapeutic and preventive benefit. Studies that enhance data capture, visualization, real-time assessment, and prediction in at-risk and psychiatric populations, including but not limited to those with suicidal thoughts and behavior.
Research projects that develop and/or test models and interventions to measure engagement with digital mental health technologies, implement strategies to increase engagement as needed, and/or determine which, if any, components of the digital mental health technology lead to behavior change.
Research leveraging digital mental health technologies, citizen science, and other participatory approaches, including “gamification or serious games” that enhance access, engagement, collect, and analyze data measuring behavior change and improvements in mental health outcomes. Research that uses digital mental health technologies to rapidly assess psychiatric needs at the population level.
Research leveraging artificial intelligence (AI) and/or other advanced computational and statistical approaches to improve prevention, diagnosis, and treatment of mental illnesses along a treatment trajectory and continuum of care.
Research projects that investigate costs – including cost utility, cost-benefit, cost effectiveness, affordability, and budget impact – patient impacts, and human resource impacts of innovative digital technology interventions for the prevention and treatment of mental disorders.
Based on current listing details, eligibility includes: NIMH supports research at universities, medical centers, and other institutions via grants, contracts, and cooperative agreements. Eligible applicants include non-profit organizations, institutions of higher education, small businesses, and others. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Past winners and funding trends for this program
Notice of Special Interest (NOSI): SBIR/STTR High-Priority Areas for Digital Mental Health Innovations (NOT-MH-24-120) is sponsored by National Institute of Mental Health (NIMH) - NIH. NIMH is encouraging Small Business Concerns (SBCs) to submit Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grant applications to develop, refine, and evaluate digital mental health technologies.
NIMH Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Programs is sponsored by National Institute of Mental Health (NIMH) - NIH. The NIMH SBIR and STTR Programs support research and development of innovative technologies by small businesses that have the potential to succeed commercially or provide significant societal benefits in the areas of neuroscience and mental health.
Small Business Innovation Research (SBIR) Program and Small Business Technology Transfer (STTR) Program (Child Psychopathology) is sponsored by National Institute of Mental Health (NIMH) - NIH. This program supports research and development by small businesses of innovative technologies that have the potential to succeed commercially or provide significant societal benefits in the areas of neuroscience and mental health.