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Climate Change AI Innovation Grants support high-impact projects at the intersection of artificial intelligence and climate change. Supported by Quadrature Climate Foundation, Schmidt Futures, Google DeepMind, and the Global Methane Hub with Future Earth as fiscal sponsor, the program funds research and deployment projects addressing climate change mitigation, adaptation, and climate science through AI and machine learning.
Eligible project areas include agriculture and food systems, power and energy systems, ecosystems and biodiversity monitoring, disaster management, climate science and modeling, and transportation and urban planning. The program has a strong track record having funded 23 projects across 62 institutions in 22 countries on 6 continents. The 2024 call for proposals closed September 15 2024, with future annual rounds expected.
This is distinct from the Bezos Earth Fund AI Grand Challenge which focuses on larger-scale implementation projects and from the Cornell Atkinson AI and Climate Fast Grants which are limited to Cornell-affiliated researchers.
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Search similar grants →Based on current listing details, eligibility includes: Researchers, practitioners, and organizations worldwide working on AI applications for climate change. Projects must address research or deployment challenges in climate change mitigation, adaptation, or climate science using AI and machine learning. Creation of publicly available datasets and tools is encouraged. International applicants from any country are eligible. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Individual project grants of up to $150,000 per project for one-year duration. Total program funding pool of up to $1.4 million per annual cycle. The program has funded 23 projects across 62 institutions in 22 countries to date. 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 Mozilla Foundation Democracy x AI Incubator funds technology projects that strengthen democratic institutions and civic participation through responsible AI. This cohort supports 10 projects at $50,000 each for 12 months, with top performers eligible for Tier II funding of $250,000. Projects must address one of three categories: (1) better information systems including verification tools, diverse information sources, and algorithmic transparency; (2) institutional transparency and accountability mechanisms; or (3) civic space protection and expansion including organizing tools, privacy technologies, and surveillance resistance. The incubator provides mentorship, peer learning, and connections to Mozilla's network alongside financial support. Applications require working technology with demonstrated traction, a committed team capable of 12-month execution, and at least partial open-source commitment or a clear roadmap to open source. This is distinct from other Mozilla programs and specifically targets the intersection of AI and democratic resilience.
The Lilly Endowment Artificial Intelligence in Higher Education Initiative is a landmark $500 million multi-phase program to help Indiana colleges and universities develop comprehensive strategies for integrating AI across their institutions. Phase 1 provided planning grants of $125,000 to $300,000 for institutions to explore AI challenges and opportunities with proposals due December 1 2025. Phase 2 offers implementation grants of $5 million to $25 million per institution due May 1 2026 to fund institutional AI implementation projects. Phase 2 also includes collaboration grants from a $200 million pool for multi-institution partnerships with concept papers due May 1 2026 and full proposals due September 25 2026. The initiative aims to help institutions consider how AI is reshaping teaching and learning, prepare students for an AI-shaped workforce, and develop responsible AI governance frameworks. This program is distinct from the FIPSE Advancing AI in Education Special Projects which is a federal program open to all U.S. postsecondary institutions and from the Spencer Foundation Initiative on AI and Education which funds research rather than institutional implementation.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.