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The ONR Global GlobalX Innovation Joint Challenge (BAA Call N0001425SBC03), launched in partnership with Singapore's Ministry of Defence, is an international science challenge funding artificial intelligence solutions for maritime security.
ONR Global expects to award up to $250,000 for an initial twelve-month period of performance to selected proposals that enhance Maritime Domain Awareness and Threat Detection and Response capabilities. The challenge encourages groundbreaking ideas from technology companies, startups, academic institutions, and researchers worldwide to develop AI technologies advancing autonomous systems and threat detection for maritime security.
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Or search similar grants →According to the current listing, eligibility includes: Technology companies, startups, academic institutions, and individual researchers worldwide developing AI solutions for maritime domain awareness and threat detection. Confirm the full requirements in the official notice before applying.
The current listing shows up to $250,000 total for an initial twelve-month period of performance per selected proposal. Verify award ceilings, matching requirements, and allowable costs in the official notice.
ONR Global GlobalX Innovation Joint Challenge: AI for Advancing Maritime Security (BAA N0001425SBC03) is funded by U.S. Office of Naval Research (ONR) Global, in partnership with the Ministry of Defence (MINDEF) Singapore. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The NEH Humanities Research Centers on Artificial Intelligence program funds the creation of university-based humanities research centers focused on the ethical, legal, and societal implications of artificial intelligence. Funded centers undertake interdisciplinary humanities-led research that brings ethics, law, history, philosophy, anthropology, religious studies, literature, linguistics, and cultural studies to bear on questions raised by AI systems. Topics include responsible AI governance frameworks, AI and civil rights, AI and labor, cultural impact of generative AI, AI and creative authorship, philosophical foundations of machine reasoning, history of AI thought, and humanistic evaluation of AI safety and alignment. Centers are expected to convene researchers, train new humanities scholars in AI, host public-facing programming, and produce publications and translational tools that inform policy and public understanding. Strong fit for universities seeking to launch sustained interdisciplinary AI humanities research programs in partnership with computer science and other STEM departments.
NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.
The Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement, FA8750-21-S-7006, is an open two-step BAA soliciting white papers for research, development, integration, test, and evaluation of technologies and techniques to provide geospatial intelligence (GEOINT) in all its forms and from whatever source, including imagery, imagery intelligence, and geospatial data. Explicit focus areas include AI/ML techniques for full-spectrum GEOINT, multi-INT data fusion, cloud-based high-performance computing for geospatial analytics, photogrammetry, computer vision for overhead imagery, automated target recognition, change detection, multi-modal foundation models for geospatial data, and edge AI for tactical reconnaissance. The BAA is open and effective until 30 September 2026 with rolling white paper submission; only white papers are accepted as initial submissions and formal proposals are accepted by invitation only. Strong fit for AI and computer vision performers building geospatial analytics, foundation models, or autonomous reconnaissance tools for Air Force, intelligence community, and combatant command users.
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 articleNOFO N0001426SF004 offers roughly 25 awards at $750,000 over 36 months to first- and second-appointment faculty. No cost share, no white paper stage — and an eligibility clock that admits PhDs earned on or after January 1, 2019 and nobody earlier. The program officer conversation, not the proposal, is the part most applicants get wrong.
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