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The Templeton World Charity Foundation Diverse Intelligences Initiative supports research that compares cognition, learning, and problem-solving across humans, non-human animals, and artificial intelligence systems.
The Diverse Intelligences Research Hub Application Guidance specifies that two to three 2-year grants will be awarded, each worth up to $800,000, with the option to apply for follow-on funding of at least $1,000,000 for the strongest projects.
The initiative bridges AI, comparative cognition, and philosophical questions about the nature of intelligence, supporting interdisciplinary research at the intersection of machine learning, animal cognition, developmental psychology, and philosophy of mind.
Research priorities include: cross-species cognitive comparison, theory of mind in AI and biological systems, embodied and enactive intelligence, social and cooperative cognition, and metacognition.
Starting in 2026 the parallel John Templeton Foundation will also award over $60 million in grants focused broadly on questions about intelligence across six funding areas, indicating significant expansion of intelligence-related funding across the Templeton family of foundations.
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Search similar grants →Based on current listing details, eligibility includes: Open to academic researchers, research institutions, and interdisciplinary teams worldwide working on diverse intelligences research. Projects must address comparative or foundational questions about intelligence across biological and artificial systems. Investigators must affiliate with eligible institutions; principal investigators typically hold faculty or equivalent positions. Project duration not greater than 24 months for initial grants. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Two to three 2-year grants of up to $800,000 each. Strongest performers eligible for follow-on funding of at least $1,000,000. 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.
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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 Kavli Foundation sponsors an AI-for-Science Postdoctoral Fellowship through FutureHouse's Independent Postdoctoral Fellowship program, supporting one fellow per cohort to pursue an independent, AI-enabled research project in neuroscience. The fellowship provides a $125,000 annual stipend plus comprehensive benefits, travel allowance for conferences, dedicated software engineering support for building AI research tools, access to advanced computational resources (GPU clusters and cloud computing), and wet lab access for experimental validation. Fellows work in collaboration with an advisor or co-advisor who is a member of a Kavli Institute, pursuing bold, curiosity-driven projects in neuroscience ranging from molecular and cellular mechanisms to systems-level understanding of the brain. The fellowship begins September 2026 and runs for one year with a possible one-year extension. Research areas include AI-driven analysis of brain imaging data, machine learning for neural circuit mapping, computational neuroscience models, AI tools for analyzing large-scale neural recordings, and deep learning applied to connectomics and brain-computer interfaces.
Semi-Annual Competitive Grants is sponsored by Robert G Iii And Maude Morgan Cabell Foundation. The foundation provides grants primarily for permanent capital projects such as building acquisition, construction, renovation, and technology infrastructure. It favors focused, strategic support rather than token grants and typically awards funding on a challenge or match basis to stimulate broad community support. The application is a two-stage process beginning with a mandatory Contact Form followed by an invitation for a full application. Geographic focus: Virginia (preference for Richmond metropolitan region) Focus areas: Cultural Arts, Historic Preservation, Environment and Conservation, Community Development, Higher Education Infrastructure, Social Services, Health