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Coefficient Giving (formerly Open Philanthropy) is a grant from Coefficient Giving that funds evidence-based programs and research in global health, animal welfare, scientific research, and effective altruism causes where philanthropic dollars can achieve high impact per dollar. The fund supports organizations demonstrating rigorous evidence of effectiveness and scalable potential.
Eligible applicants include nonprofits, research institutions, and projects aligned with Coefficient Giving's priority cause areas. The fund emphasizes transparency, cost-effectiveness analysis, and funding gaps not addressed by government or traditional philanthropy.
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Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Apply for Funding | Coefficient Giving *]:lg:col-start-1! [&>. wysiwyg:first-child_h2:first-child]:border-t-0 [&>.
wysiwyg:first-child_h2:first-child]:mt-0"> We find most of our giving opportunities through proactive research. However, the following funds have open applications: Living literature reviews Supports scholars to build and maintain “living literature reviews” — continuously updated collections of articles that synthesize research on a single topic. We’re especially interested in topics related to policymaking.
Request for proposals: humane fish slaughter research/prototypes Supports work to develop technologies and prototypes that materially improve the welfare of fish at capture and slaughter. Submissions are due by July 1, 2026 . Global Catastrophic Risks Opportunities Fund Career development and transition funding Supports people at any career stage who want to pursue careers focused on reducing global catastrophic risks.
Many different activities are covered, including graduate study, professional training, and self-study. Funding for programs and events Supports programs and events related to effective altruism, global catastrophic risks, biosecurity, forecasting, and other areas.
Navigating Transformative AI Fund Request for proposals: AI governance Supports work across technical AI governance, policy development, frontier company policy, international AI governance, law, and strategic analysis and threat modeling.
Funding for capacity-building on risks from transformative AI Supports work focused on addressing risks from transformative AI through “capacity-building” (e.g. supporting professional networks, helping new people find work in the field, or contributing to public discourse).
Science and Global Health R&D Fund Where to submit your proposal Most of the time, we proactively reach out to potential grantees to shape funding proposals together, but we also read unsolicited proposals. If you want to submit an idea to us, you can send an email to science@coefficientgiving.
org with a short description of an existing proposal you have submitted to another funder, or a new 1-2 page proposal with a rough budget outline and an estimated timeline. We receive a large volume of inquiries, so we will only be able to respond to those that may be a good fit for our programmatic goals. Historically, we ended up funding about 1-2% of the unsolicited proposals we received.
For more information on what happens next in our internal decision-making process, see here . If your project isn’t a good fit for these programs but aligns with one of our funds, you can contact us to ask about funding. However, we rarely fund unsolicited proposals, and we may not respond to all inquiries.
Scoring criteria used to review proposals for this grant.
Based on current listing details, eligibility includes: Organizations and individuals working on AI safety; best for mid- to large-scale projects Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 11, 2026. 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.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
America's Seed Fund (SBIR/STTR) - Cybersecurity and Authentication is sponsored by U.S. National Science Foundation (NSF). Supports startups and small businesses to translate research into products and services, including cybersecurity and authentication, to secure national defense and protect the public. Includes research requiring privacy and security-preserving resources for artificial intelligence.