1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This grant may no longer be accepting applications.
The description indicates applications may be closed. Check the funder's website to confirm availability before applying.
Visit funder's website →This listing may be outdated. Verify details at the official source before applying.
Find similar grantsAI in Teaching and Learning at Stanford: Innovation with Evidence Grants is sponsored by Stanford Accelerator for Learning, Stanford University. This opportunity supports mission-aligned projects and measurable outcomes.
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.
AI in Teaching and Learning: Innovation with Evidence Grants • Stanford Accelerator for Learning The Stanford Accelerator for Learning invites proposals to design and study innovative approaches to the application of artificial intelligence in teaching and learning at Stanford. The goal is to support new approaches at Stanford while building evidence to inform practice beyond Stanford.
In the rapidly evolving landscape of Generative AI in education, there remains limited evidence on how teaching and learning can be enhanced with creative applications of AI. This seed grant program leverages Stanford’s strengths in human-centered AI, integrating innovation with evidence, an entrepreneurial spirit, and interdisciplinary work.
We invite faculty, instructors, academic staff, and students from across Stanford University to submit proposals. Proposals may address any higher education teaching and learning context at Stanford and do not need to span an entire course. For example, they may focus on a curricular unit, activity, assignment, assessment, as well as curated experiential learning.
Proposals should include: A design component: Development or adaptation of an innovative teaching or learning approach or tool that incorporates AI. A research component: Study of the approach’s impact on student outcomes relevant to learning. Strong proposals will expand what is possible for student learning.
They will also include a specific hypothesis about the impact the innovation will have on students. A rough outline of a research plan is welcome, recognizing that the Stanford Accelerator for Learning will provide relevant consulting expertise to support grantees in developing measures and research designs for their innovations.
Proposals will be reviewed based on: Potential for broad and meaningful impact on learners and/or education Novelty and innovation of the approach, method, or design Clarity of the research plan or hypothesis for the impact on learning Inclusion of students in the design and evaluation process Team expertise and capacity to successfully complete the project A consideration of ethical risks and mitigation strategies if appropriate Optional information sessions will overview the grant program and answer applicant questions.
Info sessions will be held via Zoom on the following dates: Friday, April 24, 12:00pm – 1:00pm PT Thursday, May 7, 2:00pm – 3:00pm PT RSVP here (requires Stanford login) to receive the Zoom link and attend an info session. Applications are currently closed
According to the current listing, eligibility includes: Faculty, instructors, academic staff, and students from across Stanford University. Confirm the full requirements in the official notice before applying.
AI in Teaching and Learning at Stanford: Innovation with Evidence Grants is funded by Stanford Accelerator for Learning, Stanford University. 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.
The full ASPECT NOFO (DE-FOA-0003647) posted September 4, 2026, eleven days later than the Notice of Intent predicted. The real document splits $58 million across two topic areas with anticipated award counts of 0-7 and 0-3, a cost share that jumps from 20 percent to 50 percent mid-project, a mandatory five-page concept paper due October 9, and a university eligibility restriction that decides team structure before anyone writes a word.
Read articleThe Humana Foundation's first 2026 slate funded 13 nonprofits and five university research teams around senior and veteran emotional health, with awards from $150,000 to $3 million concentrated in Texas, Florida, and Kentucky. A second health equity slate is planned for fall 2026. Here is what the portfolio structure reveals about how this funder decides, and how aging-services and behavioral health organizations should position.
Read articleThe Hydrocarbons and Geothermal Energy Office's University Training and Research program funds coal, oil and gas, and geothermal R&D at U.S. colleges and universities — but every proposal must include a non-academic partner and must build training modules that outlive the award. The LOI deadline is October 1, 2026, with full applications 15 days later. Here is what that compressed window means and why the workforce framing changes what a competitive proposal looks like.
Read article