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.
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Funder: U.S. National Science Foundation
Due Dates: February 10, 2027 (Application deadline)
Funding Amounts: Award floor: $550; no cost sharing or matching required
Summary: Supports fundamental research on learning and how human cognition can be augmented through interactions with people, technology, or context.
Key Information: Applicant eligibility is unrestricted; proposals must meet the funding opportunity requirements and applicable NSF PAPPG and supplements.
Description
NSF’s Science of Learning and Augmented Intelligence program supports potentially transformative research developing basic theoretical insights into the principles, processes, and mechanisms of learning. It addresses learning in individuals and groups, from molecular and cellular mechanisms and brain systems to cognitive, affective, behavioral, social, and cultural processes. Augmented intelligence research examines how interactions with others, artificial intelligence, or changes in context can improve human learning, design, complex decision-making, and problem-solving.
The program has particular interest in collaborative and collective learning and intelligence enabled by technological connectivity at unprecedented speed and scale. It seeks explanations of how intelligence emerging in groups, organizations, and networks intersects with individual learning and cognition. Convergent and interdisciplinary projects may be especially valuable, but single-discipline research is also appropriate. Supported approaches include experiments, field studies, surveys, computational modeling, and artificial intelligence or machine learning methods.
