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The AI for Climate and Nature Grand Challenge, launched by the Bezos Earth Fund with up to $100 million in total funding, uses a two-phase award process to accelerate AI-driven solutions for the world's most pressing environmental challenges.
In Phase I, 24 organizations across four categories—sustainable proteins, biodiversity conservation, power grid optimization, and wildcard solutions—each received $50,000 seed grants and participated in Innovation Sprints with private-sector mentors. In Phase II, up to 15 of the most promising initiatives will receive $2 million implementation grants over two years.
Phase I recipients include Cornell University, The Nature Conservancy, Smithsonian Institution, Yale University, National Audubon Society, and others spanning 501(c)(3) organizations and global academic institutions. The program targets transformative applications of AI across food systems, biodiversity monitoring, energy grid decarbonization, and novel environmental solutions through 2027.
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Search similar grants →Based on current listing details, eligibility includes: U.S.-based 501(c)(3) entities and global academic institutions. Phase I awardees include universities, conservation organizations, and research nonprofits. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Multi-year $100 million initiative; individual grant amounts vary (24 Phase I grants announced May 21, 2025, with amount granted of $1.20M). 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.
Bezos Earth Fund AI for Climate and Nature Grand Challenge is sponsored by Bezos Earth Fund. The AI for Climate and Nature Grand Challenge, launched by the Bezos Earth Fund with up to $100 million in total funding, uses a two-phase award process to accelerate AI-driven solutions for the world's most pressing environmental challenges.
AI for Climate & Nature Grand Challenge is sponsored by Bezos Earth Fund. The Bezos Earth Fund's multi-year $100 million AI for Climate and Nature Grand Challenge aims to accelerate climate and nature solutions by funding innovative approaches that leverage modern AI to deliver greater speed, scale, accuracy, and precision.
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