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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.
The Climate Change AI Innovation Grants program supports catalytic projects using AI and machine learning for climate action, funding research and deployment challenges in climate change mitigation, adaptation, and climate science. Projects must create publicly available datasets and tools as digital public goods, and release open-source code. The program builds partnerships between academic researchers, non-profits, startups, companies, and governmental organizations to accelerate the research-to-deployment cycle. Past funded projects span climate modeling, emissions monitoring, renewable energy optimization, and disaster prediction across all continents.
The Halcyon Africa Innovation in Agriculture and Food Security Accelerator supports early-stage, impact-driven ventures across Sub-Saharan Africa that are strengthening agriculture and food systems through market-based solutions. The 2027 cohort is open for applications until 23 October 2026. Technology is explicitly central to the scope: the programme welcomes tech-enabled agriculture and food security solutions across ten priority sectors, including agricultural data platforms, digital extension services, precision agriculture tools and agri-fintech innovations, all areas where AI and machine learning are typically the core of a competitive product. Each selected venture receives a 10,000 US dollar equity-free stipend and 10,000 dollars in Amazon Web Services credits, together with access to Halcyon's community of more than 650 founders, professional advisory support, expert-led workshops covering leadership development, capital strategy and product-market fit, and investor networking. The format is hybrid, combining virtual sessions with in-person residencies in Accra, Ghana and Nairobi, Kenya. What distinguishes this from most AI-for-agriculture funding is the applicant profile: it targets commercial ventures with working products and demonstrated traction rather than research teams, requiring paid-pilot or post-revenue stage with a working minimum viable product. For African AgTech founders building AI-driven advisory, monitoring or decision-support tools who have passed the prototype stage and need capital strategy support and investor access more than research funding, this is a well-matched and currently open opportunity.
Foresight's AI for Science and Safety Nodes RFP is a small-cheque, high-variance programme aimed at work that conventional funders will not touch, and it is one of the few AI safety calls verifiably open with a future deadline of 31 October 2026. The framing joins two problems: ensuring a safe transition to highly capable AI, and using AI to unlock scientific breakthroughs. Proposals sit in one of three layers. Local compute covers community-owned and controlled computational infrastructure - an explicitly decentralist counterweight to frontier-lab concentration. Coordination and accountability covers human-AI interaction, supercollaboration and AI risk assessment mechanisms. AI-first science covers automated nanotechnology, whole-brain emulation and frontier biotechnology. The single most important screening criterion is stated plainly: Foresight wants projects where AI is the primary engine of progress, not projects where AI is, in its words, tapped onto an existing research program - so an established lab adding a machine learning component to ongoing work is the archetype of what gets rejected. Evaluation weights alignment with a focus area, impact on AI existential risk reduction, feasibility within short AGI timelines, execution capability, and high-risk high-reward potential. Two conditions are non-negotiable: all outputs must be open-sourced, and applicants must commit to active participation at Foresight's San Francisco or Berlin nodes, which makes this poorly suited to a purely remote team. Application is a single Airtable form with a roughly three-month review.
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 articleYoung Futures opened the first of three Groundwork challenges on September 23, 2026 and closes it October 16 at 5 p.m. PT. At least $1 million goes to 10-plus organizations at $50,000 to $100,000 each — but the money does not land until April 2027, and seven common program types are explicitly ineligible.
Read articlePA-27-037 consolidates the Predoctoral to Postdoctoral Transition Award into a single parent announcement across 20 NIH components, with the next deadline December 8, 2026. The eligibility gate is not the science — it is a mandatory change of institution and mentor between the F99 and K00 phases.
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