1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
AI and Climate Fast Grants: Research-to-Impact Accelerator (2025) is sponsored by Cornell Atkinson Center for Sustainability, The 2030 Project: A Cornell Climate Initiative, and the Cornell AI Initiative. Supports projects at the intersection of artificial intelligence (AI) and climate science, aimed at driving greater energy efficiency and sustainability within the AI stack and integrating cutting-edge AI with environmental research to develop innovative solutions and advance ed…
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Request for Research-to-Impact Fast Grant Proposals 2025 | Cornell Atkinson Center for Sustainability Request for Research-to-Impact Fast Grant Proposals 2025 | Cornell Atkinson Center for Sustainability The 2030 Project Fast Grants - Request for Proposals 2025 AI & Climate Fast Grants: Research-to-Impact Accelerator In order to mobilize Cornell to support ambitious climate action in this decisive decade, Cornell Atkinson Center for Sustainability, The 2030 Project: A Cornell Climate Initiative and the Cornell AI Initiative are issuing a special request for proposals (RFP) for fast grant research-to-impact funding .
This round of fast grants will be focused on projects that will support teams interested in pursuing ambitious proposals at the intersection of artificial intelligence (AI) and climate science.
Building upon Cornell’s established leadership in addressing critical issues such as energy decarbonization, sustainable agriculture, climate adaptation, and biodiversity, this funding opportunity seeks to catalyze advancements that (1) drive greater energy efficiency and sustainability within the AI stack and (2) better integrate cutting-edge AI with environmental research to develop innovative solutions and advance education.
This RFP is intended to support faculty in responding to external competitive calls for proposals or capitalize on synergistic opportunities to amplify reach and impact. We seek to enable faculty to collaborate across disciplines in developing interdisciplinary and competitive proposals for external funding that leverage AI and machine learning technologies against climate change challenges .
Funding per research team is expected to be in the $10,000-$25,000 range. Selected teams may also request proposal development support from a research development professional from Cornell’s AI Initiative or other teams around Cornell. July 21: Request for Joint Proposals opens September 29, 5:00 p.
m. ET: Full proposals due Apply ) --> October 24: Funding decisions announced Cornell Atkinson funds are subject to the same restrictions as any other university research funding. Applications are open to any Cornell University-eligible Principal Investigator .
Please submit your short proposal via this online form . Succinct feedback will be offered for unselected proposals.
Projects of interest will advance the development of technology, policy framework, or practice and address one or more of the following themes: Decarbonization of the AI Stack AI Policy, Governance, and Infrastructure Transparency AI for Climate Challenges (Example: The 2030 Project’s “ Seven Solvable Problems ”) External Funding Opportunity Project proposals must identify at least one specific external funding opportunity.
This RFP will position research teams to submit new research proposals to external public agencies, foundations, or private-sector partners to inform long-term, large-scale efforts.
Examples of relevant RFPs and funders include: Bezos Earth Fund: AI for Climate and Nature Grand Challenges Project proposals will be particularly strong if they do one or more of the following: Provide a convincing plan for submitting a proposal to a particular external funding opportunity. Target non-federal funding sources such as RFPs run by private corporations, foundations, or other institutions.
Develop cross-disciplinary collaborations across various colleges or schools within Cornell. Build new or deepen existing partnerships with key non-academic partners, such as a government, company, or organization to turn research into impact. Advance a new entrepreneurial endeavor or enable technology commercialization.
Articulate the quantifiable, scalable potential of proposed work (i.e. . 5 billion tons or more of annual emission reductions or removal; projects that impact >50,000 people, globally scalable to billions of tons and millions of people). Please submit your short proposal this online form --> by September 29, 2025.
Succinct feedback may be offered for unselected proposals.
Research Problem & AI-Climate Intersection Specific climate challenge to be addressed (decarbonization, adaptation, sustainability, etc.) How AI/ML technologies will be leveraged to solve this problem Alignment with one or more research themes: Decarbonization of AI Stack, AI Policy/Governance, or AI for Climate Challenges External Funding Strategy Primary target funding opportunity (specific RFP, funder, deadline) How this fast grant will position your team competitively Timeline for external proposal submission Project Activities & Deliverables Specific activities to be undertaken with fast grant funds Key deliverables and timeline (by quarter) Expected outputs that strengthen external funding application Principal investigator(s) and key team members Interdisciplinary nature of collaboration (across colleges/schools) External partners (government, industry, NGOs) if applicable Any entrepreneurial or commercialization components Impact Potential & Scalability Quantifiable impact potential (emissions reductions, people affected, etc.) Scalability of proposed solution How research will translate to real-world impact Budget and Justification (required) Use this budget template | Save budget as “2026-CLIMATE-CU-YourLastName.
XLSX”. Use this budget justification template | include budget template at the end of your proposal PDF packet The Excel budget should be submitted as a separate file when you submit your proposal. The budget justification should be included at the end of your proposal.
The budget justification does not count against your proposal page count. Please follow the budget and justification templates carefully and provide the requested level of detail . Indicative budget guidance (not an exhaustive list – please contact us with specific questions): Funds may be used to cover: personnel (excluding faculty salary), travel, supplies, equipment, and publication fees (up to $3,000).
For Cornell PIs: Please note that Cornell Atkinson requires a cost share for tuition in line with sponsored research awards such as NSF. If graduate student tuition is built into the budget, the total tuition cost incurred must be cost-shared equally by Cornell Atkinson and your department or unit.
Funds may not be used to cover faculty salary (including summer salary), laptops (unless it is dedicated to project work only), and staff bonuses. This is not an exhaustive list – please contact us with specific questions. For Cornell PIs: Cornell Atkinson will transfer allocated funds to an account in the Cornell proposer’s department.
These funds have no indirect cost recovery associated with them. Selection will be based on the consistency of proposals with the ambitions of the Fast Grants described above. Proposals will be evaluated by a group of internal and external stakeholders, with the final decision being made by 2030 Project leadership.
Alignment with AI-climate intersection themes Strength of external funding strategy Technical merit and innovation potential Implementation feasibility Scalable impact potential Cross-disciplinary collaboration strength Successful Fast Grant teams will: Periodically meet with the Cornell Atkinson leadership to discuss project progress, including with regards to research, funding applications submitted, project outputs and outcomes, partnership development , follow-on funding raised, and project milestones met.
Submit periodic reports describing progress towards each metric of success identified in the proposal. Respond to requests for information (including through surveys or presentations) about the longer-term impacts of the Fast Grant after the funding ends.
Acknowledge The 2030 Project: A Cornell Climate Initiative and Cornell Atkinson Center for Sustainability in all presentations, reports, and publications stemming at least in part from this funding. Guidance for acknowledging your affiliation with Cornell Atkinson can be found on our website and will be included in your Memorandum of Understanding. If you have additional questions, please email atkinson@cornell.
edu . Cornell Atkinson Center for Sustainability is the hub of collaborative sustainability research at Cornell University, forging vital connections among researchers, students, staff, and external partners. The center’s funding and programming accelerate groundbreaking research within and across all of Cornell’s colleges and schools.
In turn, the center is the university’s home to bold ideas and powerful new models that ensure people and the planet not only survive, but thrive.
According to the current listing, eligibility includes: Faculty at Cornell University (This RFP is intended to support faculty in responding to external competitive calls for proposals). Confirm the full requirements in the official notice before applying.
The current listing shows $10,000-$25,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI and Climate Fast Grants: Research-to-Impact Accelerator (2025) is funded by Cornell Atkinson Center for Sustainability, The 2030 Project: A Cornell Climate Initiative, and the Cornell AI Initiative. 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.
Research-to-Impact Fast Grant Proposals 2025 (AI and Climate Fast Grants) is sponsored by Cornell Atkinson Center for Sustainability, The 2030 Project: A Cornell Climate Initiative, and the Cornell AI Initiative. This RFP supports faculty teams interested in ambitious proposals at the intersection of artificial intelligence (AI) and climate science, focusing on driving greater energy efficiency and sustainability within the AI stack and integrating cutting-edge AI with environmental research.
Research-to-Impact Fast Grant Proposals is sponsored by Cornell Atkinson Center for Sustainability, The 2030 Project: A Cornell Climate Initiative, and the Cornell AI Initiative. This RFP supports projects at the intersection of artificial intelligence (AI) and climate science, aimed at driving greater energy efficiency and sustainability within the AI stack and integrating AI with environmental research to develop innovative solutions.
The Delta Conservancy's first Proposition 4 grant cycle funds community enhancement, ecosystem restoration, and paludiculture on subsided peat soils. Two funding caps, three priorities, no matching requirement — and a gate most applicants will miss.
Read articlePAR-27-054 and PAR-27-055 replace COBRE's Phase 1-2-3 model with two tracks: a 15-year Development-Expansion-Sustainability path and a 10-year Expansion-Sustainability path. At $1.5 million per year in direct costs across 23 states and Puerto Rico, with new research cores prohibited in the final phase and eligibility capped at three active awards per institution, the track you claim is the most consequential choice in the application.
Read articleThe Clif Family Foundation's Open Call funds $5,000 to $50,000 in general operating support — money a nonprofit can spend on rent, salaries, or whatever keeps the lights on — for grassroots groups working on regenerative farming, climate justice, food access, and the environment. Applications close August 3, 2026. For small nonprofits, unrestricted funding is worth more than its face value. Here's how to compete for it.
Read article