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Find similar grantsThese seed grants support research addressing the impacts of artificial intelligence and machine learning on arts and creativity, including projects exploring AI in music composition and improvisation.
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Or search similar grants →According to the current listing, eligibility includes: Binghamton University faculty. Confirm the full requirements in the official notice before applying.
The current listing shows up to $100,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Provost Awards for Research Grants (for AI in the arts) is funded by Binghamton University. Verify program details on the funder's official page before applying.
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The CU System Sprint Grant is a small, fast-turnaround internal award supporting faculty who want to develop and implement AI-driven pedagogical strategies within a single course. At up to $20,000 with an explicit allowance for one course buyout, it is designed around the real obstacle facing most faculty experimenting with generative AI in teaching - not equipment or data, but protected time. The single-course framing is a deliberate scoping decision and applicants should respect it: proposals aimed at curriculum-wide or program-level transformation are a poor fit, while a concrete plan to redesign one course around AI tools and measure the effect on student learning outcomes matches what the program is asking for. Eligibility extends to tenured and tenure-track faculty as well as full-time and instructional series faculty across all CU campuses, which is broader than many internal research awards and deliberately includes teaching-focused appointments who are often closest to the pedagogical questions at issue. This is the second of three planned cycles, so faculty who miss the October 16, 2026 deadline should expect a third round. For a grants database this entry is narrower in eligibility than a federal or foundation program - it is open only to CU faculty - but it is a useful example of the institutional micro-grant tier that has grown rapidly as universities respond to generative AI in the classroom, and comparable programs now exist at many university systems. Faculty at other institutions who find this relevant should check whether their own provost or academic affairs office runs an equivalent scheme, since these internal AI teaching grants are frequently under-advertised and undersubscribed relative to external competitions.
Revolutionizing Engineering Departments (hereinafter referred to as RED) is designed to build upon previous efforts in engineering education research. Specifically, previous and ongoing evaluations of the NSF Engineering Education and Centers Division program and its predecessors, as well as those related programs in the Directorate for STEM Education, have shown that prior investments have significantly improved the first year of engineering students’ experiences, incorporating engineering material, active learning approaches, design instruction, and a broad introduction to professional skills and a sense of professional practice – giving students an idea of what it means to become an engineer. Similarly, the senior year has seen notable change through capstone design experiences, which ask students to synthesize the technical knowledge, skills, and abilities they have gained with professional capacities, using reflective judgment to make decisions and communicate these effectively. However, this ideal of the senior year has not yet been fully realized, because many of the competencies required in capstone design, or required of professional engineers, are only partially introduced in the first year and not carried forward with significant emphasis through the sophomore and junior years. The Directorates for Engineering (ENG) and STEM Education (EDU) are funding projects as part of the RED program, in alignment with the Improving Undergraduate STEM Education (IUSE) framework and Professional Formation of Engineers (PFE) initiative. These projects are designing revolutionary new approaches to engineering education, ranging from changing the canon of engineering to fundamentally altering the way courses are structured to creating new departmental structures and educational collaborations with industry. A common thread across these projects is a focus on organizational and cultural change within the departments, involving students, faculty, staff, and industry in rethinking what it means to provide an engineering program. In order to continue to catalyze revolutionary approaches, while expanding the reach of those that have proved efficacious in particular contexts, the RED program supports four tracks: RED Planning (Track 1), RED Adaptation and Implementation (Track 2), RED Innovation (Track 3), and RED Innovation Partnerships (Track 4). Two- and four-year institutions are encouraged to submit to any track as appropriate for their goals and context. RED Planning (Track 1) projects will support capacity-building activities at institutions of special interest to NSF’s mission, including two-year engineering-centered programs building transfer partnerships, two-year or four-year institutions in EPSCoR jurisdictions, Primarily Undergraduate Institutions (PUIs), and Institutions of Higher Education (IHEs) in order to create more opportunities in engineering for students in every part of the country. Planning projects should provide the support for such institutions to explore the development of a RED Projects in Tracks 2, 3, & 4. RED Adaptation and Implementation (Track 2) projects will adapt and implement evidence-based organizational change strategies and actions to the local context, which helps propagate this transformation of undergraduate engineering education. RED Innovation (Track 3) projects will develop new, revolutionary approaches and change strategies that enable the transformation of undergraduate engineering education. RED Innovation Partnerships (Track 4) projects will achieve the same goals as Track 3 projects across multiple institutions. Of particular interest to this track are projects partnering two-year institutions with other eligible institutions. Projects in tracks 2, 3, & 4 will include consideration of the cultural, organizational, structural, and pedagogical changes needed to transform one or more departments to ones in which students are engaged, develop their technical and professional skills, and establish identities as professional engineers or technologists. The focus of projects in these tracks should be on the department’s disciplinary courses and program. RED project initiatives are expected to be institutionalized at the end of the funding period. Proposals are especially encouraged that address areas of increased national interest including but not limited to advanced manufacturing, advanced wireless, artificial intelligence, biotechnology, microelectronics and semiconductors, net zero technologies, sustainability, systems engineering, and quantum engineering. Funding Opportunity Number: 24-564. Assistance Listing: 47.041,47.076. Funding Instrument: G. Category: ST. Award Amount: $50K – $2M per award.
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.
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