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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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Or 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.
BRAIN Initiative: Reagent Resources for Brain Cell Type-Specific Access to Broaden Distribution of Enabling Technologies for Neuroscience (U24 Clinical Trial Not Allowed) is sponsored by National Institute of Mental Health (NIMH), National Institutes of Health (NIH). This funding opportunity supports the establishment of facilities, particularly at minority-serving institutions, to develop and broadly distribute reagent resources for brain cell type-specific access, thereby advancing neuroscience research through innovative neurotechnologies.
School Mental and Behavioral Health: Expanding Access to Evidence-Based Interventions and Services is sponsored by National Institute of Mental Health (NIMH), National Institutes of Health (NIH). This highlighted topic encourages research focused on optimizing and testing school-based mental and behavioral health interventions and service delivery models. It emphasizes research-informed approaches that can be rapidly deployed and sustained in school and afterschool program settings using available resources and personnel. Relevant research includes validating sustainable strategies for operationalizing mental health risk, detecting students at risk, and matching students to appropriate interventions and services, including referring to specialty mental health care when needed.
Development of Psychosocial Therapeutic and Preventive Interventions for Mental Disorders (R61/R33 Clinical Trial Required) is sponsored by National Institute of Mental Health (NIMH), National Institutes of Health (NIH). This funding opportunity supports early-stage, clinically grounded research to create and refine new psychosocial interventions and prevention strategies for mental disorders, with a required clinical trial component. It emphasizes an experimental therapeutics approach, focusing on clearly defined intervention targets and demonstrating target engagement in relation to clinical outcomes. The R61 phase provides up to two years for preliminary testing of target engagement, and the R33 phase provides up to three additional years to replicate target engagement and test its association with changes in clinical outcomes.
The NEH Humanities Research Centers on Artificial Intelligence program funds the creation of university-based humanities research centers focused on the ethical, legal, and societal implications of artificial intelligence. Funded centers undertake interdisciplinary humanities-led research that brings ethics, law, history, philosophy, anthropology, religious studies, literature, linguistics, and cultural studies to bear on questions raised by AI systems. Topics include responsible AI governance frameworks, AI and civil rights, AI and labor, cultural impact of generative AI, AI and creative authorship, philosophical foundations of machine reasoning, history of AI thought, and humanistic evaluation of AI safety and alignment. Centers are expected to convene researchers, train new humanities scholars in AI, host public-facing programming, and produce publications and translational tools that inform policy and public understanding. Strong fit for universities seeking to launch sustained interdisciplinary AI humanities research programs in partnership with computer science and other STEM departments.
SaTC 2.0 is NSF's flagship cybersecurity, privacy, and trust research program reorganized to address emerging threats including generative AI security, open-source software security, quantum computing security, and supply chain security. Funded scope covers the bidirectional role of AI as both a cybersecurity threat (adversarial attacks on AI systems, AI-enabled cyberattacks, data poisoning) and a defensive tool (AI for intrusion detection, automated vulnerability discovery, secure-by-design AI). The program supports interdisciplinary collaboration across computer science, mathematics, social and behavioral sciences, and STEM education to build trust in global cyber ecosystems.
NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.
PMHCA (HRSA-26-058) makes $9.79 million available for up to 22 awards of up to $445,000 to build tele-consultation networks that help pediatric primary care providers manage children's behavioral health. The catch buried in the eligibility section: applicants must NOT already hold a PMHCA award — which effectively reserves the new-state lane for the eight unfunded states and territories, plus tribes everywhere. Here's how to read it and what wins.
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