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The Bill & Melinda Gates Foundation AI Fellows Program is the Foundation's first-ever AI Fellows cohort, a fully funded 12-month opportunity that places selected candidates on high-impact projects applying artificial intelligence to real-world challenges in health, agriculture, and development.
Fellows work closely with Foundation program teams and receive structured mentorship while building innovative AI-driven solutions for low- and middle-income countries. Focus areas include global health systems, agricultural innovation for smallholder farmers across sub-Saharan Africa and South Asia, education technology, and development challenges.
The program reflects the Foundation's strategic commitment to AI for public good, including real-time weather forecasts for regions without local weather stations, multilingual digital advisory services for farmers, and AI-driven crop improvement initiatives. The India office is currently accepting applications for the inaugural cohort. The Foundation has committed $1.
4 billion over four years to expand agricultural innovation through AI and digital tools.
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Search similar grants →Based on current listing details, eligibility includes: AI researchers and practitioners with demonstrated expertise in applying AI/ML to development challenges. Open to professionals globally with focus on impact in low- and middle-income countries (LMICs). Must be willing to work on Foundation priority areas including health, agriculture, education, and development. Strong technical AI/ML skills and domain knowledge in relevant development sectors required. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Fully funded 12-month fellowship including salary, mentorship, structured support, and project resources. First cohort launched in 2026 with positions in India and global offices. 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.
The Evidence for AI in Health (EVAH) Initiative is a US$60 million joint commitment from the Gates Foundation, Novo Nordisk Foundation, and Wellcome Trust to fund rigorous, locally led evaluations of AI-enabled clinical decision support tools (CDSTs) in low- and middle-income countries. The initiative addresses a critical gap in evidence on how AI health tools perform in real-world primary and community health care settings in sub-Saharan Africa, South Asia, and Southeast Asia. Pathway A supports early-deployment evaluations examining usability, adoption, and implementation feasibility with awards up to $1 million. Pathway B funds large-scale impact evaluations through randomized controlled trials, implementation science studies, economic analyses, and acceptability assessments with awards up to $3 million. The initiative is implemented in partnership with the Abdul Latif Jameel Poverty Action Lab (J-PAL) and the African Population and Health Research Center (APHRC), who coordinate the application and review process and provide technical input on study design and evidence synthesis. The Spring 2026 RFP focused on AI tools using machine learning, computer vision, or large language models for triage, diagnosis, and referral functions. Future RFP cycles are expected as the initiative deploys its $60 million commitment over multiple years.
Novel Interventions Targeting Placental and Gut Inflammation to Improve Fetal Growth is sponsored by Bill & Melinda Gates Foundation (Grand Challenges). This Grand Challenge seeks solutions that can accelerate identification and early validation of interventions (novel or repurposed), including drug-based, biologic, dietary, and microbiome-informed approaches, that modulate inflammatory and/or oxidative stress processes in the p…
Breakthrough Innovations to Significantly Reduce the Cost of Severe Acute Malnutrition Treatment is sponsored by Bill & Melinda Gates Foundation (Grand Challenges). This Grand Challenge seeks innovations that can substantially increase the number of children treated for Severe Acute Malnutrition (SAM) per dollar of spend by reducing the total cost per child treated, without changing the ex-factory price of Ready-to-Use Therapeutic Food (RUT…
The Wellcome Mental Health Data Prize UK 2026-2028 supports the development of data tools and AI solutions contributing to improving early intervention for anxiety, depression, and psychosis. This prize program, managed in partnership with Social Finance, funds teams to develop innovative data science and AI tools that can identify individuals at risk of mental health conditions earlier and connect them with appropriate interventions. The prize builds on Wellcome's broader mental health science priorities and complements their separate generative AI mental health research program. Previous rounds funded teams at approximately £200,000 each. The UK 2026 round accepts applications until May 8, 2026 at 12pm. The prize program has previously operated in Africa (2024-2026 with £200,000 per team) and globally (2022-2023 with £1.4 million total). Contact: dataprize@wellcome.org.
Schmidt Sciences invites proposals for its 2026 Science of Trustworthy AI program, supporting technical research that improves our ability to understand, predict, and control risks from frontier AI systems. The program funds work across three research aims: characterizing misalignment in frontier AI systems, developing generalizable measurements and interventions for AI safety, and overseeing AI systems with superhuman capabilities including multi-agent risks. Research areas include interpretability, robustness, alignment, and risk prediction. Tier 1 awards up to $1M support focused investigations, while Tier 2 awards of $1M-$5M+ fund larger multi-year collaborative efforts across multiple institutions. Schmidt Sciences also provides compute resources, software engineering support, and API credits with frontier model providers. Preference is given to multi-PI collaborations. This is a rigorous scientific research program focused on technical AI safety, not policy analysis.
Schmidt Sciences 2026 Interpretability RFP funds technical research on detecting and mitigating deceptive behaviors in large language models. The program targets three primary directions: (1) Detection — developing tools to identify deceptive behaviors where model outputs contradict internal representations of truth; (2) Steering — creating targeted interventions to improve model truthfulness using mechanistic insights, outperforming traditional finetuning baselines; and (3) Applications — translating detection and steering techniques into practical improvements for human-AI collaboration, multi-agent systems, and decision support. Deceptive behaviors include factually incorrect outputs, misleading confidence claims, fabrications, selective omissions, and other knowingly misleading conduct. Awards range from $300K to $1M with projects lasting 1-3 years.