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Find similar grantsThese grants support NEA state affiliates in planning K-12 literacy and diverse reading initiatives. Funding can be used for events, book distributions, author visits, and other activities that celebrate diverse books, reading, and the freedom to learn throughout the school year.
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Or search similar grants →According to the current listing, eligibility includes: NEA state affiliates planning K-12 literacy and diverse reading initiatives in the U. S. Confirm the full requirements in the official notice before applying.
The current listing shows up to US $7,500. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Read Across America State Affiliate Event Grants is funded by National Education Association (NEA). Verify program details on the funder's official page before applying.
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Community Advocacy & Partnership Engagement Grant is sponsored by National Education Association (NEA). Provides state and local partnership funding grants to assist state/local affiliates in identifying, engaging, and mobilizing community organizations and leaders to increase student achievement (particularly for students of color), engage NEA members in activism, and create unio…
Community Advocacy & Partnership Engagement (CAPE) Grant is sponsored by National Education Association (NEA). The CAPE Department provides state and local partnership funding grants to assist state/local affiliates to identify, engage, and mobilize community organizations and community leaders around increasing student achievement (specifically for students of color), engaging members w…
Disability Rights Community Action Grant is sponsored by National Education Association (NEA). This program invests in hands-on, collaborative projects that strengthen member connection, deepen advocacy, and elevate the voices of educators with disabilities and those working to advance disability rights in K–12 and higher education spaces. It supports organizing and coalition-building efforts that unite educators, families, students, and community partners to address persistent inequities in education.
SecureAI is the European Cybersecurity Competence Centre's dedicated topic for the security of AI systems themselves, and it is worth distinguishing carefully from the much larger population of Horizon Europe topics that apply AI to some other domain. The scope here is the attack surface of the models: adversarial attacks, backdoor injections and data poisoning are named explicitly, alongside privacy and robustness of AI models and systems more broadly. For teams working on model security, red-teaming, robustness certification, privacy-preserving machine learning or supply-chain integrity of training data, this is a rare topic where that work is the subject rather than a workpackage. The topic carries a budget of 21,200,000 euros and shares a deadline of 15 September 2026 at 17:00 CET with two sibling topics in the same ECCC call: HORIZON-CL3-2026-02-CS-ECCC-01 on approaches and tools for security in software and hardware development and assessment, budgeted at 20,000,000 euros and itself referencing AI-driven security testing methodologies, and HORIZON-CL3-2026-02-CS-ECCC-03 on advanced cryptographic schemes and high-assurance high-speed cryptographic implementations at 15,000,000 euros. Applicants weighing where a proposal fits should read all three topic texts, because the boundary between securing AI and using AI to secure software runs directly between topics 02 and 01. As with all Horizon Europe collaborative topics, proposals are expected from consortia spanning multiple Member States or Associated Countries rather than from single organisations, and evaluation is against the published topic-specific expected outcomes.
This ECCC topic funds security in the software and hardware development lifecycle, and it earns a place on an AI funding list for a specific reason: AI-driven security testing methodologies are named as a contribution area within scope. That makes it the natural home for work applying machine learning to vulnerability discovery, fuzzing, static and dynamic analysis, secure code generation and assessment, and automated assurance of hardware designs - work that often sits awkwardly between AI calls that want novel models and security calls that want no AI at all. It should be read alongside its sibling topic in the same call, HORIZON-CL3-2026-02-CS-ECCC-02 SecureAI, which covers the opposite direction: securing AI models and systems themselves against adversarial attacks, backdoor injections and data poisoning, with a budget of 21,200,000 euros. The boundary between using AI to secure software and securing AI runs precisely between these two topics, and choosing the wrong one is a common and costly proposal error. A third sibling, HORIZON-CL3-2026-02-CS-ECCC-03, covers advanced cryptographic schemes and high-assurance high-speed cryptographic implementations at 15,000,000 euros. All three share a deadline of 15 September 2026 at 17:00 CET. The topic budget here is 20,000,000 euros. As a Horizon Europe collaborative topic, proposals are expected from multi-country consortia rather than single organisations, and cybersecurity topics under Cluster 3 commonly carry additional participation restrictions relating to control by entities from non-associated third countries, so the topic conditions need reading in full before consortium building starts.
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.
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 articleNEA's FY2027 Partnership Agreement Grants (2027NEA04PA) put $59 million into 56 state arts agencies with a September 29, 2026 deadline. No individual arts nonprofit can apply. But this is the channel through which most NEA dollars actually reach small organizations — and the supplanting rule and 1-to-1 state cost share determine how much reaches yours.
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.
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