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Find similar grantsUnlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) is sponsored by NSF Directorate for Engineering (ENG). Supports projects that aim to enhance the value of datasets for AI-driven scientific discovery.
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Directorate for Computer and Information Science and Engineering (CISE) | NSF - U.S. National Science Foundation Directorate for Computer and Information Science and Engineering (CISE) View image credit & caption Directorate for Computer and Information Science and Engineering (CISE) The U.S. National Science Foundation Directorate for Computer and Information Science and Engineering (NSF CISE) advances fundamental research, innovation and education across computer science, information science and computer engineering.
NSF CISE investments support the ideas, talent and infrastructure that strengthen U.S. leadership in computing, artificial intelligence, cybersecurity, quantum information science, robotics, advanced communications, software and systems, research cyberinfrastructure and computing education.
Through support for universities, research centers, community-based organizations, industry partnerships and national-scale infrastructure, CISE helps advance the discoveries and workforce needed for America's economic prosperity, national security and long-term competitiveness.
NSF-funded researchers push driverless race cars to the limit to improve the performance and safety of autonomous vehicles New state of matter could aid quantum computing Expeditions in Computing (Expeditions) Next Required Due Date: December 2, 2026 U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs: Next Required Due Date: November 4, 2026 Unleashing a new age of AI-enabled scientific discovery through the Genesis Mission Next Required Due Date: See letter for details Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Next Required Due Date: November 4, 2026 View all CISE opportunities NSF announces $1.
5B for foundational research to drive scientific breakthroughs for American technological leadership New NSF State and Regional AI Infrastructure Hubs will power AI-enabled scientific research across the country Podcast: New microchips could supercharge AI CISE is organized around six thematic science areas that support foundational research, use-inspired innovation, education and infrastructure across the computing and information science enterprise.
Center-scale and testbeds Supports large-scale, center-level and testbed investments that bring together research communities, infrastructure and partnerships to accelerate discovery and transition. Computing and AI foundations Supports foundational research in AI, machine learning, data, algorithms, communications and intelligent systems.
Cyber, physical and intelligent systems Supports foundational research that enables intelligent technologies to operate safely and reliably across physical, digital and human environments. Human-centered computing and education Supports research and education at the intersection of people, computing and learning.
Software and systems foundations Supports unconventional, potentially paradigm-shifting research that explores new models, technologies and foundations of computing. Office of Advanced Cyberinfrastructure Supports the design, deployment and operation of advanced research cyberinfrastructure for the national science and engineering community. CISE areas supporting NSF priorities.
Artificial Intelligence and human-AI teaming CISE supports AI research in areas such as machine learning, computer vision, natural language processing and robotics, as well as interdisciplinary collaborations to advance AI in areas of national importance and workforce training in AI.
CISE supports programs that strengthen computing education at all levels — from k-12 to postdoctoral and faculty training — and help build a strong pipeline of talent in computer and information science.
CISE invests in foundational and applied research that advances quantum algorithms, programming languages, architectures and systems to help transform computing, communications and cybersecurity and sustain U.S. leadership in quantum innovation. CISE invests in high-performance computing systems that enable researchers to tackle complex problems in science and engineering at scale — from climate modeling to genomics to AI.
Secure and resilient cyberspace CISE advances research and applications in cybersecurity to enhance security, privacy and trustworthiness in cyberspace and support innovations that strengthen national cyberinfrastructure resilience.
Communications and wireless CISE supports a portfolio of programs designed to accelerate innovation in next-generation communication technologies including wireless systems that are secure, resilient and capable of leveraging AI to adapt in real time. Learn more about CISE work in these focus areas
According to the current listing, eligibility includes: Universities, Nonprofits, State/local governments, Private sector companies. Confirm the full requirements in the official notice before applying.
Applications for Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) are due November 4, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) is funded by NSF Directorate for Engineering (ENG). 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.
NSF 26-514, 26-515 and 26-518 put $310 million and up to 850 awards on rolling submission with zero per-PI limits, while chemistry rations two proposals a year and materials rations one. The Engineering directorate ran this experiment eight years ago. When NSF tried it in Earth Sciences, proposal volume fell 59 percent. Here is what that history predicts, and how to use a directorate that is not counting your submissions.
Read articleNSF's Trailblazer Engineering Impact Award (NSF 26-502) gives a single principal investigator up to $3 million over three years to pursue a high-risk, field-defining project. The July 24 full-proposal deadline is invitation-only — the real contest happened months earlier. Here is how the three-stage structure works, who is eligible, why the no-co-PI rule is the point, and how to position for the next cycle.
Read articleRET Sites close October 14, 2026 — about nine awards from $5.8 million, capped at $600,000 over three years, with a PI eligibility rule that disqualifies most of the people who write outreach proposals. RET Supplements reach the same money for $15,000 a teacher and are not a competition.
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