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

August 5, 2026

No minimum; typical awards range from $550 and up, with award size and duration varying by project scope.

Supports transformative research on the principles, processes, and mechanisms of learning and augmented intelligence in individuals and groups, including human-technology interactions.

--- ## Description This program funds fundamental research to advance theoretical insights and knowledge about learning and augmented intelligence. It supports projects that investigate learning at multiple levels—ranging from molecular and cellular mechanisms to cognitive, behavioral, social, and cultural influences. The program also encourages research on how human cognitive function can be enhanced through interactions with technology or other people, emphasizing collaborative and collective models of learning and intelligence enabled by technological connectivity. Both interdisciplinary and single-discipline research are welcome, and projects that link basic science to technological, educational, or workforce applications are valued for their broader impacts. Research approaches may include experiments, field studies, surveys, computational modeling, and artificial intelligence or machine learning methods. Key questions addressed may involve mechanisms of learning transfer, generalization, memory consolidation, human-AI collaboration, and the integration of findings across levels of analysis. --- ## Due Dates - August 5, 2026 --- ## Funding Amount - There is no minimum award amount; the floor is $550, but typical awards are larger and depend on the scope and duration of the project. - Award size and duration vary; consult recent [funded projects](https://www.nsf.gov/awardsearch/search-results?ProgEleCode=127Y00&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true#results) for benchmarks. - No cost sharing or matching required. --- ## Eligibility - Open to a wide range of applicants (“Unrestricted”): universities, colleges, non-profit organizations, for-profit organizations, government agencies, and other entities. - Both U.S. and international organizations may apply, but see the [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg/24-1) for details and restrictions. --- ## Application Process - Proposals must be submitted via [NSF FastLane](https://www.fastlane.nsf.gov/), [Research.gov](https://www.research.gov/), or [Grants.gov](https://www.grants.gov/search-results-detail/320753). - All proposals must follow the requirements of the [NSF PAPPG](https://www.nsf.gov/policies/pappg/24-1) in effect for the relevant deadline. - Carefully review the program’s [official NSF program page](https://www.nsf.gov/funding/opportunities/science-learning-augmented-intelligence) for current requirements and updates. - Proposals are subject to NSF’s merit review criteria: intellectual merit and broader impacts. --- ## Additional Information - Recent updates to NSF research security policies and new requirements (e.g., research security training, annual certification) apply to all applicants; see [Important Notice No. 149](https://www.nsf.gov/notices/important/important-notice-no-149-updates-nsf-research-security/in149). - Projects that are convergent or interdisciplinary are encouraged but not required. - Broader impacts, such as connections to education or workforce development, are valued but not central to the intellectual merit of the research. --- ## External Links - [NSF Program Page: Science of Learning & Augmented Intelligence](https://www.nsf.gov/funding/opportunities/science-learning-augmented-intelligence) - [Grants.gov Opportunity Listing](https://www.grants.gov/search-results-detail/320753) - [NSF Proposal & Award Policies & Procedures Guide (PAPPG)](https://www.nsf.gov/policies/pappg/24-1) - [Browse Projects Funded by this Program](https://www.nsf.gov/awardsearch/search-results?ProgEleCode=127Y00&BooleanElement=Any&BooleanRef=Any&ActiveAwards=true#results) --- ## Contact Information | Name | Email | Phone | Role/Org | |--------------------------|-------------------------------|-----------------|------------------| | 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 | For general NSF inquiries: - Email: [info@nsf.gov](mailto:info@nsf.gov) - Phone: 1-703-292-5111 - [NSF Contact Page](https://www.nsf.gov/about/contact-us)

Science of Learning and Augmented Intelligence (SL)

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