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SaTC 2. 0 is NSF's flagship cybersecurity, privacy, and trust research program reorganized to address emerging threats including generative AI security, open-source software security, quantum computing security, and supply chain security.
Funded scope covers the bidirectional role of AI as both a cybersecurity threat (adversarial attacks on AI systems, AI-enabled cyberattacks, data poisoning) and a defensive tool (AI for intrusion detection, automated vulnerability discovery, secure-by-design AI).
The program supports interdisciplinary collaboration across computer science, mathematics, social and behavioral sciences, and STEM education to build trust in global cyber ecosystems.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education and non-profit research organizations. Proposers limited to 4 submissions per 12-month period (max 2 RES, 1 EDU, 1 SEED). Requires multidisciplinary collaboration across CISE, MPS, SBE, and EDU directorate interests. Annual target date is the last Monday in September. Confirm the full requirements in the official notice before applying.
The current listing shows research (RES) awards up to $1,200,000 over 4 years; Education (EDU) awards up to $500,000 base or $600,000 with collaboration requirements over 3 years; Seedling (SEED) awards up to $300,000 over 2 years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF Security, Privacy, and Trust in Cyberspace (SaTC 2.0) Program for Trustworthy AI and Generative AI Security Research are due September 28, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF Security, Privacy, and Trust in Cyberspace (SaTC 2.0) Program for Trustworthy AI and Generative AI Security Research is funded by National Science Foundation (NSF) Directorates for CISE, MPS, SBE, and EDU. 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.
NSF 26-521 folds eight materials programs into one solicitation carrying $100 million and 200 to 300 awards. Proposals are accepted anytime — but no individual may appear as PI or co-PI on more than one proposal per fiscal year across all eight programs. That single sentence reshapes how materials labs collaborate.
Read articleNSF 26-523 folds 12 core physics programs and three cross-cutting ones into a single solicitation with $180 million and roughly 300 awards. Proposals are accepted anytime, but AMO-Experiment and Gravitational Physics still target November 25 and QIS targets December 8. Cost sharing is prohibited, indirect cost rates are now a tiebreaker, and NSF reserves the right to phase out long-duration efforts after comparative review.
Read articleNSF 26-520 consolidates 14 mathematical sciences programs into $200 million and 400 to 600 awards with no per-PI cap and no deadline. Folded into it are Research Training Groups and Focused Research Groups — department-scale, cohort-building competitions that ran on a fixed annual date. Here is why removing that date is a different kind of change for training grants than for single-investigator grants, and what math departments should do before the fall.
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