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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.
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Or search similar grants →According to the current listing, eligibility includes: Open to international applicants including academic researchers, nonprofits, startups, companies, and governmental or intergovernmental organizations. The program encourages cross-sector partnerships that bridge research and deployment. Projects must create publicly available datasets and tools to catalyze further work in climate AI. Confirm the full requirements in the official notice before applying.
The current listing shows up to $150,000 per project for one year duration. The program has funded 23 projects across 62 institutions in 22 countries on 6 continents since inception. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Climate Change AI Innovation Grants for AI-Driven Climate Mitigation and Adaptation Research are due September 15, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Climate Change AI Innovation Grants for AI-Driven Climate Mitigation and Adaptation Research is funded by Climate Change AI (funded by Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind). 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.
CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.
The K-12 AI Infrastructure Program's Open Source AI Model for Tutoring RFP funds the development of open-source foundational AI models designed to deliver effective K-12 mathematics tutoring in the United States, with awards of up to $8 million per project over an estimated 30-36 months. The initiative seeks tutoring systems that provide personalized learning experiences, improve student outcomes, and match the effectiveness of expert human tutors. Applicants must build foundational AI models (not standalone apps), commit to open-source contributions, include stakeholder engagement plans, and conduct rigorous educational effectiveness research using real user data. Proposals are due July 31, 2026.
The Open Source AI Model for Tutoring (EDU AI) RFP, part of Digital Promise's Gates Foundation-funded K-12 AI Infrastructure Program, provides up to $8 million to a single team to build an open-source AI model for K-12 math tutoring in the United States. The effort targets known limitations of frontier models — 'helpful assistant' bias, weak misconception recognition, and limited pedagogical effectiveness — and requires rigorous evaluation, safety safeguards, and open release of all deliverables (content under CC BY 4.0 and code/models under Apache 2.0 or similar). The goal is durable public infrastructure usable by researchers, districts, curriculum teams, and model developers rather than a closed commercial product. The project period is 30–36 months with work beginning around November 2026.
Schmidt Marine Technology Partners funds the development and deployment of ocean technology — sustainable fisheries, ocean observation, habitat restoration, and pollution — with grants typically $100,000 to $400,000. The initial proposal window closes July 31, 2026. Here's what makes this funder different and how to write for it.
Read articleSchmidt Sciences opened a 'Scaling AI Safety for a Multi-Agent World' program with awards up to $1 million and an August 8, 2026 deadline. Against a backdrop of federal research slowdowns, here is why private science philanthropy matters more than ever, how these funders differ from federal agencies, and how researchers should approach them.
Read articleOVC's Tribal Victim Services Set-Aside is a non-competitive formula program — every federally recognized Tribe that applies receives an award, sized by a population certification submitted months earlier. With the FY2026 Grants.gov deadline on August 6, 2026, here is how the formula works, what the money funds (including support for families of missing and murdered Indigenous persons), and why the March certification was the decisive step.
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