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The Spencer Foundation Initiative on AI and Education provides dedicated funding across multiple grant programs for research examining how artificial intelligence intersects with education, equity, and learning.
Launched following a Spring 2024 convening, the initiative channels additional AI-focused funding through five existing Spencer programs: Vision Grants, Racial Equity Program, Small Research Grants on Education, Large Research Grants on Education, and the Research-Practice Partnership Program.
Research priorities span four key areas: AI and Learning examining how AI tools affect student learning outcomes and pedagogical practices, AI Policy studying governance and regulatory frameworks for AI in education, AI Ethics and Justice investigating equity implications of AI deployment in schools, and How AI Transforms Educational Research exploring methodological innovations enabled by AI.
The initiative provides evidence-based guidance centered on student needs. This program is distinct from the Lilly Endowment AI in Higher Education Initiative which funds institutional implementation in Indiana rather than research and from the NSF Science of Learning and Augmented Intelligence program which focuses on cognitive science aspects of AI-enhanced learning.
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Search similar grants →Based on current listing details, eligibility includes: Researchers affiliated with academic institutions, research organizations, and nonprofit entities worldwide. Principal investigators must hold a doctorate or equivalent terminal degree. Projects must focus on education research related to AI. Racial Equity Program proposals must center equity dimensions of AI in education. Research-Practice Partnership proposals require collaboration between researchers and education practitioners. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Grant amounts vary by program. Small Research Grants on Education typically fund up to $50,000. Large Research Grants on Education provide up to $600,000. Vision Grants for innovative education research concepts provide varying amounts. Additional AI-specific funding available within each program track. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. 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.
The Mozilla Foundation Democracy x AI Incubator funds technology projects that strengthen democratic institutions and civic participation through responsible AI. This cohort supports 10 projects at $50,000 each for 12 months, with top performers eligible for Tier II funding of $250,000. Projects must address one of three categories: (1) better information systems including verification tools, diverse information sources, and algorithmic transparency; (2) institutional transparency and accountability mechanisms; or (3) civic space protection and expansion including organizing tools, privacy technologies, and surveillance resistance. The incubator provides mentorship, peer learning, and connections to Mozilla's network alongside financial support. Applications require working technology with demonstrated traction, a committed team capable of 12-month execution, and at least partial open-source commitment or a clear roadmap to open source. This is distinct from other Mozilla programs and specifically targets the intersection of AI and democratic resilience.
The Lilly Endowment Artificial Intelligence in Higher Education Initiative is a landmark $500 million multi-phase program to help Indiana colleges and universities develop comprehensive strategies for integrating AI across their institutions. Phase 1 provided planning grants of $125,000 to $300,000 for institutions to explore AI challenges and opportunities with proposals due December 1 2025. Phase 2 offers implementation grants of $5 million to $25 million per institution due May 1 2026 to fund institutional AI implementation projects. Phase 2 also includes collaboration grants from a $200 million pool for multi-institution partnerships with concept papers due May 1 2026 and full proposals due September 25 2026. The initiative aims to help institutions consider how AI is reshaping teaching and learning, prepare students for an AI-shaped workforce, and develop responsible AI governance frameworks. This program is distinct from the FIPSE Advancing AI in Education Special Projects which is a federal program open to all U.S. postsecondary institutions and from the Spencer Foundation Initiative on AI and Education which funds research rather than institutional implementation.
Climate Change AI Innovation Grants support projects addressing research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning. Projects must create publicly available datasets and tools to catalyze further work. The program has funded projects spanning agriculture, biodiversity, climate modeling, disaster management, energy systems, forests, marine systems, transportation, and urban planning. Grant rounds are issued periodically with the most recent 2024 round having closed in September 2024. Partnership inquiries at partnerships@climatechange.ai.