[U.S. National Science Foundation](https://www.nsf.gov)

August 5, 2026

No maximum; minimum award $550; typical awards vary based on project scope and duration.

Supports fundamental research on learning principles, processes, and mechanisms, including how human intelligence can be augmented via technology and collaboration.

--- ## Description The Science of Learning and Augmented Intelligence (SL) program funds transformative research that advances basic theoretical insights and fundamental knowledge about how learning occurs, both in individuals and groups. The program also supports research on augmented intelligence—exploring how human cognitive function can be enhanced through interactions with others, technology, or changes in context. Research may address learning at multiple levels of analysis, including molecular/cellular mechanisms, brain systems, cognitive and behavioral processes, and social or cultural influences. The program encourages studies on how humans and technology interact to improve learning, decision-making, and problem-solving, as well as collaborative and collective models of intelligence enabled by technological connectivity. Convergent and interdisciplinary projects are especially welcome, but single-discipline approaches are also considered. Broader impacts, such as connections to technological, educational, or workforce applications, are valued but not required for intellectual merit. --- ## Due Dates - August 5, 2026 --- ## Funding Amount - Award floor: $550 - No specified maximum; award size and duration are determined by project scope and budget justification. - No cost sharing or matching required. --- ## Eligibility - Open to all applicant types ("Unrestricted"), including: - U.S. universities and colleges - Nonprofit, non-academic organizations - For-profit organizations - State, local, and tribal governments - Other public and private entities - Proposals must comply with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) in effect for the deadline. --- ## Application Process - Applications must be submitted via [Grants.gov](https://www.grants.gov/search-results-detail/320753) or [NSF FastLane/Research.gov](https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505731). - Proposals must adhere to the current [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg/24-1). - Ensure compliance with all research security and training requirements. - Contact a program director with questions or to discuss project fit. --- ## Additional Information - The program welcomes a variety of research methods, including experiments, field studies, surveys, computational modeling, and machine learning. - Interdisciplinary and convergent research is encouraged. - Projects with broader impacts in technology, education, or workforce development are viewed favorably but are not required for intellectual merit. --- ## External Links - [NSF Program Page](https://www.nsf.gov/funding/opportunities/science-learning-augmented-intelligence) - [NSF Program Description (PD-19-127Y)](http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505731) - [Browse Funded Projects](https://www.nsf.gov/awardsearch/search-results?ProgEleCode=127Y00&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true#results) - [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg/24-1) --- ## Contact Information | Name | Email | Phone | Role/Org | |---------------------|-------------------------------|-----------------|-----------| | Soo-Siang Lim | [slim@nsf.gov](mailto:slim@nsf.gov) | (703) 292-7878 | Program Director, SBE/BCS | | Elizabeth F. Chua | [echua@nsf.gov](mailto:echua@nsf.gov) | (703) 292-5187 | Program Director, SBE/BCS | | Anna V. Fisher | [avfisher@nsf.gov](mailto:avfisher@nsf.gov) | (703) 292-8451 | Program Director, SBE/BCS | | Laneisha Mayo | [lmayo@nsf.gov](mailto:lmayo@nsf.gov) | (703) 292-4468 | Business Operations Specialist, SBE/BCS | | NSF Grants.gov Support | [grantsgovsupport@nsf.gov](mailto:grantsgovsupport@nsf.gov) | | General inquiries | For additional questions, see the [NSF Contact Page](https://new.nsf.gov/about/contact-us).

Science of Learning and Augmented Intelligence (SL)

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