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Note: Each funding opportunity description is a synopsis of information in the Federal Register application notice. For specific information about eligibility, please see the official application notice. The official version of this document is the document published in the Federal Register. Free Internet access to the official edition of the Federal Register and the Code of Federal Regulations is available on GPO Access at: http://www.access.gpo.gov/nara/index.html. Please review the official application notice for pre-application and application requirements, application submission information, performance measures, priorities and program contact information. For the addresses for obtaining and submitting an application, please refer to our Common Instructions for Applicants to Department of Education Discretionary Grant Programs, published in the Federal Register on February 13, 2019 (84 FR 3768),or at www.govinfo.gov/content/pkg/FR-2019-02-13/pdf/2019-02206.pdf. Purpose of Program: The purpose of the TPSID program is to support a national coordinating center charged with conducting and disseminating research on strategies to promote positive academic, social, employment, and independent living outcomes for students with intellectual disabilities. The TPSID-CC will establish a comprehensive research and evaluation protocol for TPSID programs; administer a mentoring program matching current and new TPSID grantees based on areas of expertise; and coordinate longitudinal follow-up data collection and technical assistance to TPSID grantees on programmatic components and evidence-based practices. The TPSID-CC will also provide technical assistance to build the capacity of kindergarten through grade 12 transition services and support postsecondary education inclusive practices, among other activities. Catalog of Federal Domestic Assistance (CFDA) number 84.407B
Funding Opportunity Number: ED-GRANTS-051120-003. Assistance Listing: 84.407. Funding Instrument: G. Category: ED. Award Amount: $2M total program funding.
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Or search similar grants →According to the current listing, eligibility includes: Eligible entities per HEA section 777(b)(1). Confirm the full requirements in the official notice before applying.
The current listing shows $2M total. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 10, 2020, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Yes — Office of Postsecondary Education (OPE): Coordinating Center for Transition Programs for Students with Intellectual Disabilities into Higher Education—(TPSID-CC) CFDA 84.407B is offered by Department of Education and this listing comes from Grants.gov, an official U.S. federal source. Federal applications generally require registrations (for example SAM.gov or an agency submission portal), so allow extra lead time.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
CISE Future Computing Research (Future CoRe, NSF 25-543) is the National Science Foundation's core foundational research program for computer and information science, and it is the single most accessible NSF pathway for investigator-initiated AI and machine learning research. The solicitation spans three participating divisions - Computing and Communication Foundations, Information and Intelligent Systems, and Computer and Network Systems - which together cover machine learning theory, algorithms, foundation model architectures, natural language processing, computer vision, robotics and intelligent systems, and the systems and hardware substrate that large-scale AI training and inference depend on. Awards run up to $1 million over four years, with typical projects landing between $150,000 and $250,000 per year. Unlike NSF's large center-scale AI competitions, Future CoRe funds single investigators and small teams, which makes it the realistic target for a faculty member starting or sustaining a generative AI research agenda. The program has two annual submission windows: the first Thursday in February and the second Thursday in September, with the September 2026 target date falling on 10 September 2026. Proposals may indicate the extent to which generative AI was used in preparing the proposal, per NSF guidance.
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