The National Science Foundation (NSF) is offering funding through its Science of Learning and Augmented Intelligence (SL) program. This program supports transformative research aimed at developing fundamental knowledge about learning processes and mechanisms, as well as augmented intelligence, which explores how human cognitive function can be enhanced through interactions with technology or other individuals. The research funded by this program spans multiple domains and levels of analysis, from molecular and cellular mechanisms to cognitive, behavioral, and social processes. It also includes interdisciplinary studies that integrate artificial intelligence and collaborative human-technology interactions.
The program seeks to advance understanding of key questions related to learning, such as how knowledge transfer occurs across different contexts and domains, how learning is consolidated into long-term memory, and how collaborative and technological interactions can enhance problem-solving and decision-making. Additionally, the program supports research on how insights from biological learning processes can inform artificial intelligence, neuromorphic engineering, and human-machine collaboration.
Eligible research approaches include experiments, field studies, surveys, computational modeling, and artificial intelligence or machine learning methodologies. Special interest is given to studies that explore how collective intelligence emerges in groups and networks and how these processes intersect with individual cognitive functions. While applications with direct technological, educational, or workforce applications are encouraged, these aspects are not necessarily central to the program’s intellectual merit evaluation.
Applications for this grant must comply with NSF’s Proposal & Award Policies & Procedures Guide (PAPPG). Proposals may be submitted through Research.gov or Grants.gov following the relevant guidelines. Researchers interested in applying should ensure that their proposals adhere to the scope and objectives outlined in the funding opportunity, with an emphasis on theoretical advancements and methodological rigor.
The program follows a recurring funding cycle, with target due dates for full proposals set for the first Wednesday in August annually and the second Wednesday in February annually. The next upcoming deadline for submissions is August 6, 2025, followed by February 11, 2026. There are no specified award ceilings, floors, or total funding amounts in the available information.
For further inquiries, applicants can reach out to the program directors: Soo-Siang Lim (slim@nsf.gov, 703-292-7878), Elizabeth F. Chua (echua@nsf.gov, 703-292-5187), and Anna V. Fisher (avfisher@nsf.gov, 703-292-8451). Additional support can be sought from Laneisha Mayo, Business Operations Specialist (lmayo@nsf.gov, 703-292-4468). The NSF headquarters is located at 2415 Eisenhower Ave, Alexandria, VA 22314.
