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PAR-25-136 funds laboratory-based research developing, optimizing, and rigorously testing AI-enabled digital mental health interventions and technologies.
Funded scope includes adaptive intervention design using reinforcement learning, just-in-time adaptive interventions (JITAI), AI-driven personalization of therapeutic content, large language model-based therapy assistants, computer vision and audio analysis for symptom assessment, predictive models for crisis detection, AI-enabled cognitive behavioral therapy delivery, and digital phenotyping for depression, anxiety, psychosis, and other mental health conditions.
Emphasizes mechanistic understanding of intervention components and component selection through SMART, MOST, and factorial trial designs.
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Search similar grants →According to the current listing, eligibility includes: U.S. higher education institutions, nonprofits, for-profit organizations, government agencies, and federal labs. International applications under standard NIH guidelines. Open to investigators at all career stages. Clinical trial required. Confirm the full requirements in the official notice before applying.
The current listing shows NIH R01 award mechanism (clinical trials required). Typical R01 awards range from $250,000 to $500,000 in direct costs per year, with project periods of up to 5 years (cumulative direct costs typically $1.25M to $2.5M). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NIMH PAR-25-136 Laboratories to Optimize Digital Health for AI-Driven Mental Health Interventions are due January 8, 2028. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NIMH PAR-25-136 Laboratories to Optimize Digital Health for AI-Driven Mental Health Interventions is funded by National Institute of Mental Health (NIMH), National Institutes of Health (NIH). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Drug Discovery for Nervous System Disorders (Highlighted Topic) is sponsored by National Institute of Mental Health (NIMH), National Institutes of Health (NIH). This highlighted topic encourages applications aimed at the discovery of therapeutic agents that affect fundamental processes associated with nervous system diseases, such as neuronal dysfunction, abnormalities in cell growth, migration, plasticity, connectivity, and cell death.
Investigator Initiated Research Grant (R01) is sponsored by National Institute of Mental Health (NIMH), National Institutes of Health (NIH). This is the most common mechanism used by NIH to support research. It is open to applicants throughout their research careers, including those applying for the first time. It supports research projects in all NIMH-relevant scientific areas.
NSF TechAccess AI-Ready America is a major new initiative to establish AI-ready Coordination Hubs in every U.S. state and territory to expand access to AI knowledge tools training and capacity building. Announced March 25 2026 the initiative is a joint effort of NSF USDA National Institute of Food and Agriculture (NIFA) Department of Labor and Small Business Administration (SBA). Each Hub will connect local partners and coordinate AI deployment scale proven approaches based on state and local priorities and address three key gaps: workforce AI literacy small business and local government AI adoption and hands-on learning pathways. Up to 56 Hubs will be funded at up to $1 million per year for three years selected through three rounds of competition. An informational webinar is scheduled for April 14 2026. This is distinct from NSF ExpandAI which focuses on institutional AI research capacity building and from NSF Expanding AI Career which targets skilled technical workforce opportunities.
The DARPA Young Faculty Award (YFA) is a flagship program that identifies and engages rising research stars in junior faculty positions at U.S. academic institutions and exposes them to DARPA's mission. The 2026 YFA solicitation (DARPA-RA-25-02 series) explicitly lists AI-relevant research topics including interpretable reinforcement learning, logical AI, knowledge representation and reasoning, neuro-symbolic systems, foundation models for science, AI for the physical world, mathematical foundations of large models, and assured autonomy. Awardees develop their research vision in partnership with a DARPA program manager and are positioned to compete for follow-on DARPA programs. The program provides ~$500,000 over a two-year base period with a possible third-year option, plus a Director's Fellowship of up to $500,000 for outstanding awardees. Strong fit for tenure-track AI, autonomy, and machine learning faculty within seven years of receiving a PhD.
Air Force SBIR topic DAF26BZ03-DV020 seeks advanced AI-driven solutions for a scalable fleet management platform coordinating humanoid, mobile, and industrial robots performing aircraft maintenance and sustainment. Requirements include autonomous AI-based task allocation, real-time monitoring, human-robot collaboration workflows, dynamic scheduling, multi-modal sensor fusion for situational awareness, and operational optimization. Solutions must scale across mixed robotic fleets in active Air Force maintenance environments and contested logistics scenarios.
Tennessee's $206.9M RHTP allocation begins distribution with a 30-day virtual maternal/child mental health consultation grant. The state plans a new opportunity every Friday — the cadence and structure here are the blueprint for how the $50B nationwide program rolls out.
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