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Expeditions in Computing (Expeditions)

The far-reaching impact and rate of innovation in the computer and information science and engineering fields has been remarkable, generating economic prosperity, and enhancing the quality of life for people.More than a decade ago, the NSF Directorate for Computer and Information Science and Engineering (NSF CISE)…

FromU.S. National Science Foundation
Who can applyothers (see eligibility notes)
Eligibility notes*Who May Submit Proposals: Proposals may only be submitted by the following: -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their…
How muchat least $15 million per award; about 4 awards; $60 million total
DeadlineTue, Jul 27, 2027 (277 days left)
CategoryScience, Technology and Research
TypeGrant
Opportunity #26-525
Assistance listing47.075
PostedMon, Aug 17, 2026

Open the official posting

From the notice

The far-reaching impact and rate of innovation in the computer and information science and engineering fields has been remarkable, generating economic prosperity, and enhancing the quality of life for people.More than a decade ago, the NSF Directorate for Computer and Information Science and Engineering (NSF CISE) established the NSF Expeditions program to provide the NSF CISE research community with the opportunity to pursue ambitious, foundational research agendas that promise to define the future of computing and information.Investigators are strongly encouraged to come together within or across departments or institutions to identify compelling, transformative research agendas that look ahead by at least a decade and promise disruptive innovations in computer and information science and engineering for the years ahead. Expeditions may advance a range of areas including, but not limited to, fundamentally new architectures for intelligence and the hardware and compute substrates that make them possible; rigorous physical and mathematical theories of how systems learn, generalize, and can be interpreted; neuroscience-inspired approaches to learning, memory, reasoning, and behavioral steering; intelligence embodied in the physical world through general physical intelligence, advanced robotics hardware, and novel architectures and learning paradigms for embodied systems; transformative approaches to next generation communication and networking; and high-risk, high-reward areas t

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