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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.
The published deadline was September 15, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
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.
Climate Change AI Innovation Grants for AI-Driven Climate Mitigation and Adaptation Research is sponsored by Climate Change AI (funded by Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind). 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 cat…
Climate Change AI Innovation Grants is sponsored by Climate Change AI (funded by Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind). This 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.
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.
Lightcone Commons is a grantmaking platform operated by Lightcone Infrastructure that coordinates large-scale philanthropy in quarterly rounds, with a first round deadline of 23 August 2026 at 11:59pm Anywhere on Earth and grant recommendations announced around 23 October 2026. It expects to distribute 15 to 25 million US dollars in the first round and comparable amounts every three months thereafter, with rolling applications between rounds. The platform's design solves a specific problem in AI safety funding: rather than applying separately to each funder, an applicant submits once and is seen by multiple funders operating from different worldviews. Significant participating funders emphasise AI alignment. The Long Term Future Fund and the AI Risk Mitigation Fund each allocate roughly 2 million dollars and focus almost exclusively on shaping AI development in a positive direction, while Jaan Tallinn, the largest individual participant, directs the bulk of his funding toward work aimed at aligning, controlling or otherwise shaping superintelligent AI systems, with some giving extending to other ambitious causes. Eligibility is unusually broad: applicants need not be 501(c)(3) organisations, and the platform can coordinate funding for for-profits, individuals, educational institutions, 501(c)(4)s and non-US entities. Practical obstacles exist for applicants based in certain countries including Russia and India. The tradeoff to understand is that per-grant sizes are not published and funding decisions rest with individual funders, so the platform offers reach rather than a predictable award.
The AI Safety Policy Entrepreneurship Fellowship is FAS's route for turning technical and domain expertise into frontier AI safety policy that actually moves. It is a part-time hybrid programme running 30 September 2026 to 28 February 2027, with applications due 7 September 2026, and it pays a USD 5,000 stipend plus up to USD 1,000 as a merit award. Fellows commit roughly five hours a week to developing a policy memo on a specific AI safety challenge, attend training sessions, join an in-person retreat in California from 4 to 7 November 2026, and present at a capstone event in Washington DC during the week of 22 February 2027. The design target is explicit and unusual: it recruits early- to mid-career professionals who have limited direct public policy experience but deep expertise elsewhere - technical AI research, academia, think tanks, civil society, industry, law, cybersecurity and national security - and teaches them the mechanics of getting an idea adopted. Selection weighs clear understanding of AI governance challenges, concrete implementation-oriented solutions rather than broad principles, awareness of which stakeholders must be moved, and a credible commitment to translating expertise into policy outcomes. Because the stipend is modest and the time commitment part-time, this is designed to sit alongside an existing job rather than replace one.
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 articleThe ten-foundation Humanity AI collaborative opened applications September 10, 2026, with an October 21 deadline, three funding tiers from $75,000 to $1 million, and a Lever for Change two-phase review. Its out-of-scope list eliminates AI literacy training, AI adoption, and research-only projects. Here is what actually qualifies.
Read articleDARRP Restoration Implementation Grants close November 18, 2026, with an award range of $2.5 million to $100 million, no cost share, and funding that comes from legal settlements rather than appropriations. The eligibility exclusions are the whole design, and they tell you exactly what NOAA is buying.
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