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

February 11, 2026

No maximum specified; minimum award $550; typical awards vary by project and duration.

Supports transformative research on the principles, processes, and mechanisms of learning and augmented intelligence in humans and technology.

--- ## Description This program supports fundamental research to advance theoretical insights and knowledge about how learning occurs and how human cognitive function can be enhanced through interactions with others or with technology. The scope includes understanding learning at all levels—from molecular and cellular mechanisms to brain systems, cognitive and behavioral processes, and social and cultural influences. The program is also interested in research on augmented intelligence, especially approaches that articulate how human learning, design, decision-making, and problem-solving can be improved through collaboration or the use of artificial intelligence. Projects may focus on collaborative and collective models of learning, leveraging the scale and speed of technological connectivity, and examining the intersection of group, organizational, and network intelligence with individual cognition and behavior. A wide variety of research methods are supported, including experiments, field studies, surveys, computational modeling, and AI or machine learning techniques. Interdisciplinary and convergent research is encouraged, but single-discipline approaches are also welcome. Broader impacts may include technological, educational, or workforce applications, but these are not required for intellectual merit. --- ## Due Dates - February 11, 2026 --- ## Funding Amount - No maximum award amount specified. - Minimum award amount is $550. - Typical award size and duration vary by project; consult the [program page](http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505731) and recent awards for guidance. --- ## Eligibility - Open to all applicant types (unrestricted), including: - Universities and colleges - Nonprofit organizations - For-profit organizations - State and local governments - Other entities, as appropriate --- ## Application Process - All proposals must be submitted according to the requirements in the [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg). - Proposals are submitted via [Grants.gov](https://www.grants.gov/search-results-detail/320753) or [NSF FastLane/Research.gov](https://www.research.gov/research-web/). - Carefully review the program [description and requirements](http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505731). - Contact a program officer for guidance if your project's fit with the program is unclear. --- ## Additional Information - No cost-sharing or matching is required. - Proposals should clearly articulate the intellectual merit and broader impacts. - Research security and compliance with NSF’s updated security policies are required; see [Important Notice 149](https://www.nsf.gov/notices/important/important-notice-no-149-updates-nsf-research-security/in149). - Projects may be single- or multi-disciplinary. - See [recent NSF awards in this program](https://www.nsf.gov/awardsearch/advancedSearchResult?ProgEleCode=127Y00&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true#results) for examples. --- ## External Links - [NSF Program Description](http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505731) - [NSF Program Page](https://www.nsf.gov/funding/opportunities/science-learning-augmented-intelligence) - [Browse Recent Awards](https://www.nsf.gov/awardsearch/advancedSearchResult?ProgEleCode=127Y00&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true#results) - [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg) - [Apply via Grants.gov](https://www.grants.gov/search-results-detail/320753) --- ## Contact Information | Name | Email | Phone | Role/Division | |-----------------------|-------------------------------------|----------------|------------------| | Soo-Siang Lim | [slim@nsf.gov](mailto:slim@nsf.gov) | (703) 292-7878 | Program Director | | Elizabeth F. Chua | [echua@nsf.gov](mailto:echua@nsf.gov) | (703) 292-5187 | Program Director | | Anna V. Fisher | [avfisher@nsf.gov](mailto:avfisher@nsf.gov) | (703) 292-8451 | Program Director | | Laneisha Mayo | [lmayo@nsf.gov](mailto:lmayo@nsf.gov) | (703) 292-4468 | Business Operations Specialist | | NSF Grants.gov Support| [grantsgovsupport@nsf.gov](mailto:grantsgovsupport@nsf.gov) | | Technical Support |

Science of Learning and Augmented Intelligence (SL)

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