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Deadline is June 23, 2026 at 5:00 p.m. Eastern. Applications submitted through GEM$ system.
"FY2027: CTE Frameworks and Competency Based Implementation" is currently closed and not accepting applications.
FY2027: CTE Frameworks and Competency Based Implementation is sponsored by Massachusetts Department of Elementary and Secondary Education. All districts with state-designated Career and Technical Education (CTE) programs are required to demonstrate alignment with CTE Frameworks and Competency Based Implementation. This grant likely supports initiatives to meet these requirements.
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Or search similar grants →According to the current listing, eligibility includes: Any school district with State-designated Career Technical Education (CTE) programs in Massachusetts. Confirm the full requirements in the official notice before applying.
The current listing shows $2,210,000 total; $5,000–$40,000 per district. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 23, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
FY2027: CTE Frameworks and Competency Based Implementation is funded by Massachusetts Department of Elementary and Secondary Education. Verify program details on the funder's official page before applying.
This opportunity targets applicants in Massachusetts. If your organization operates elsewhere, check the official notice for location requirements.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
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This is the responsible-AI and governance strand of the NIH Common Fund's PRIMED-AI program, and it is by a wide margin the most accessible of the program's five announcements - two years, up to $300,000 in direct costs per year, roughly five awards, and no requirement to build a clinical tool or assemble an industrial partnership. What it funds instead is methodological infrastructure: standardized, reusable frameworks that address the recurring problems in multimodal AI clinical decision support, drawn from a defined list of topics including data quality, data harmonization across heterogeneous sources, model transparency, patient privacy, and regulatory navigation. A specific structural requirement shapes the whole application - proposals must develop and test two or more distinct frameworks on separate topics, so a deep single-topic proposal will not satisfy the announcement. The word testing carries real weight here as well; NIH is not funding position papers or consensus documents but frameworks that are empirically exercised against realistic multimodal health data and imaging scenarios, so applicants should plan concrete validation work into a compressed two-year timeline. Because the output is meant to serve the wider PRIMED-AI consortium and eventually the field, teams that combine informatics or AI methods expertise with genuine regulatory, bioethics or data-governance depth are better positioned than pure methods groups. The award mechanism is U01 with clinical trials not allowed, and foreign entities are ineligible. For research groups interested in trustworthy and responsible health AI but lacking the scale for the program's multi-million dollar center or tool-development awards, this is the natural entry point into PRIMED-AI, and the modest budget makes it realistic for a single well-composed interdisciplinary team.
State and Local Cybersecurity Grant Program (SLCGP) - Assessment and Evaluation Projects, FY2027 is a grant from the Texas Office of the Governor, Public Safety Office that funds units of local government and federally recognized Native American tribes in Texas to assess and improve their cybersecurity posture. This solicitation targets Objective 2 of the SLCGP framework-Assessment and Evaluation-which involves continuous testing, structured assessments, and evaluation of current cybersecurity strengths and vulnerabilities in local information systems. Federal funds are authorized under Section 2220A of the Homeland Security Act of 2002. Eligible applicants are Texas units of local government and federally recognized tribes seeking funding to evaluate and improve local government cybersecurity defenses.
The Gates Foundation committed at least $1 billion over two years to equitable AI alongside its 10th Goalkeepers Report — 40% education, 40% health, 10% agriculture, 10% digital infrastructure. Five days later, 60 organizations signed a five-year goal to reach 3.4 billion speakers of underrepresented languages. Here is how implementing nonprofits should read both.
Read articleNIFA's Hispanic-Serving Institutions Education Grants Program (USDA-NIFA-HSI-011903) posted September 10, 2026 with $30.6 million, 40 anticipated awards, and a December 3 deadline. It uses the same 25 percent enrollment definition the Justice Department has declined to defend at the Department of Education. Here is the structure, the three grant types, and the caps that decide who wins.
Read articleBetween September 2025 and June 2026, ED published five Federal Register notices establishing seven Secretary's Supplemental Priorities — literacy, education choice, returning education to the states, meaningful learning, career pathways, AI in education, and patriotic education. They are not press releases. They are a scoring architecture, and FY2026 competitions are already using two and three at a time.
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