Science of Learning and Augmented Intelligence (SL)
The Science of Learning and Augmented Intelligence (SL) grant supports transformative research on learning mechanisms and how human cognition can be enhanced through interactions with technology or others, emphasizing collaborative models with potential technological applications.
Funder: U.S. National Science Foundation
Due Dates: August 5, 2026
Funding Amounts: No minimum; typical awards range from $550 and up, with award size and duration varying by project scope.
Summary: 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.
