Targeted Tiered Math Academy Tutoring Grant

FY27 Title V, Part B, Subpart 2: Rural and Low-Income School Program is sponsored by Massachusetts Department of Elementary and Secondary Education. This program supports rural and low-income schools. While broader than just literacy, these funds can be used to improve the quality of teaching and learning, which can include literacy programs and resources for students in eligible areas. This grant directly targets rural areas, aligning with the query's focus.

The Personalized Literacy Microgrant 2026 from Learney names five U.S. middle schools as Learney Literacy Champions for the 2026-27 school year. Each Champion school receives a fully funded Learney pilot valued at up to $5,000: a school-wide license for up to 1,000 students covering daily, curriculum-aligned reading, writing, and speaking practice personalized to each student; a 90-minute onboarding and professional development session for the teaching team, including roster sync with Clever, ClassLink, and Google Classroom; and monthly cohort meetups with other grantee schools. Twenty-five additional schools receive Honorable Mention matching grants (a custom match based on school size) toward bringing Learney to their school, plus complimentary PD and self-paced teacher training. Learney is a structured-literacy ELA intervention grounded in the Science of Reading that combines close-reading practice, draft-revise-resubmit writing feedback, and structured academic speaking practice in one daily routine, with teacher-facing data. The program targets students working a year or more below grade level, including English Learners (ELs/ELLs) bridging conversational fluency to academic language. Learney states that it is COPPA and FERPA compliant and that student work is never used to train AI models. Eligible applicants are U.S. middle schools (grades 6-8) in any state, whether city, town, or rural district; a teacher or coach can start the application, but an authorized school administrator must be named. The online application takes under 10 minutes. Applications close October 5, 2026, and winners are announced October 15, 2026, with onboarding in fall 2026 and a spring 2027 efficacy review. Grantees agree to use the daily practice, join monthly cohort meetings, and share their implementation experience for case studies. Note that this is an in-kind product-and-services award (software license, professional development, and support), not a cash grant; no purchase is necessary.

HORIZON-CL5-2026-10-D6-03 funds generative AI applied to cooperative, connected and automated mobility, and it is one of the clearer statements yet of how European transport research intends to absorb large models. The scope targets robust environment perception and decision-making for Level 3 and Level 4 automated vehicle services - explicitly across the edge, on-board, at infrastructure and at back-office - with particular emphasis on vulnerable road user recognition and safety. Beyond perception, the call asks for generative AI including large language models and vision-language models to be used for scenario generation and validation testing, and for tools and guidelines that help developers integrate these technologies into existing CCAM concepts. That validation angle is the strategically interesting part: the hard unsolved problem in automated driving is proving safety across a scenario space too large to drive, and generative scenario synthesis is a direct attack on it. Proposals are expected to address security, fairness and compliance with European standards for connected and automated mobility, so a purely performance-driven proposal without regulatory and assurance work will read as incomplete. The call runs under the CCAM Partnership, which in practice means proposals should align with the partnership's roadmap and that consortia typically include vehicle manufacturers or tier-one suppliers, road operators or infrastructure partners, and research organisations. The HORIZON-CL5-2026-10 call opens on 4 June 2026 with a proposal deadline of 8 October 2026, giving roughly four months from opening - workable but tight for a consortium of this complexity, so partner discussions should begin before the call opens. Applicants should verify the topic budget, type of action and deadline on the official EU Funding and Tenders Portal.

AI Datasets is NSF's answer to a bottleneck that has become obvious as foundation models spread through the sciences: the limiting factor is rarely model capacity and increasingly the state of the underlying data. Vast quantities of scientific data already exist in repositories, instrument archives and lab collections, but most of it was assembled for a specific original purpose and is not structured, labeled, documented or integrated well enough for machine learning to use. This program funds the work of making that existing data AI-ready rather than collecting new data - feature extraction, metadata generation, dataset integration across sources, and construction of durable data pipelines - so that datasets can support discovery well beyond what they were originally gathered to answer. The three-tier structure is the key strategic feature. Planning awards of up to $200,000 let teams scope a dataset problem and build the partnerships needed before committing; Impact awards of up to $2,000,000 support focused enhancement of a specific community dataset; and Flagship awards of up to $5,000,000 target datasets of broad, cross-disciplinary consequence where the payoff justifies a major investment. Groups without an established data-engineering track record should strongly consider entering at the Planning tier rather than reaching for Flagship, since the Flagship competition (5 to 10 awards) will be dominated by teams with existing repository infrastructure and demonstrated community uptake. Six NSF directorates co-sponsor the program, so proposals that credibly serve more than one scientific community have a structural advantage. Eligibility is unusually broad for NSF - for-profit organizations, state and local governments, tribal nations and federal agencies may all submit alongside universities and non-profits - and there are no limits on the number of proposals per organization or on PI qualifications. The November 4, 2026 deadline recurs on the first Wednesday in November annually thereafter, making this a program worth planning against over multiple cycles.