Science of Learning and Augmented Intelligence (SL)

The Science of Learning and Augmented Intelligence program is administered by the National Science Foundation, specifically through the Directorate for Social, Behavioral and Economic Sciences and the Division of Behavioral and Cognitive Sciences. The National Science Foundation is an independent federal agency that supports fundamental research across scientific disciplines. This program focuses on expanding understanding of how humans learn and how human cognitive abilities can be augmented by interactions with others and technology. The purpose of the Science of Learning and Augmented Intelligence program is to support research that develops basic theoretical insights and fundamental knowledge about the mechanisms of learning and the ways in which intelligence can be enhanced. It covers a broad scope, from molecular and cellular processes, to brain systems, cognitive and behavioral functions, and social and cultural influences. The program encourages projects that examine collaborative and collective models of learning, and how emergent group or network intelligence interacts with individual cognition and behavior. Interdisciplinary or convergent research is welcomed, but proposals within a single discipline are also considered. A particular emphasis is placed on augmented intelligence, which explores principled ways of improving human learning, decision-making, and problem-solving through technology, including artificial intelligence. The program is interested in how technologies that adapt to human functioning can enhance task performance, collaboration, and co-creation of knowledge. The integration of biological, cognitive, and computational research is seen as especially valuable for advancing these goals. Broader impacts include contributions to technological, educational, and workforce applications, though these are secondary to intellectual merit. Eligible applicants include institutions of higher education, both public and private, nonprofit organizations, state and local governments, tribal organizations, and other entities capable of conducting relevant research. Individuals may also apply. The program does not specify restrictions based on geography, meaning it is generally open nationwide. Applications must comply with the NSF Proposal & Award Policies & Procedures Guide and be submitted through either Research.gov or Grants.gov depending on the applicant’s chosen platform. All proposals must align with NSF’s updated award conditions, effective October 1, 2024, and research security requirements, including training and certifications issued in 2025. The program uses a recurring annual application cycle with two target deadlines each year. For the 2026 cycle, full proposals are due on February 11, 2026, and August 5, 2026. Thereafter, the program will continue to follow the same pattern with deadlines on the second Wednesday in February and the first Wednesday in August annually. Proposals are evaluated on intellectual merit and broader impacts, with particular attention to how they advance fundamental understanding of learning and augmented intelligence. Program contacts include several directors and specialists within the NSF’s Division of Behavioral and Cognitive Sciences. Key contacts are Soo-Siang Lim, Elizabeth F. Chua, and Anna V. Fisher, who serve as program directors, and Laneisha Mayo, who provides business operations support. Each contact has an NSF email address and phone number for applicant inquiries. The program is ongoing and remains a significant opportunity for advancing fundamental knowledge and fostering innovation in how humans learn and interact with technology.