Science of Learning and Augmented Intelligence
About
Science of Learning and Augmented Intelligence (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence — how human cognitive function can be augmented through interactions with others or with technology, or through variations in context. The program supportsresearch addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective and behavioral processes; and social and cultural influences. The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge about human functioning to improve the design of collaborative technologies that have the capacity to learn to adapt to humans. For both aspects of the program, there is special interest in collaborative and collective models of learning and intelligence that are supported by the unprecedented speed and scale of technological connectivity. This includes emphasis on how people and technology working together in new ways and at scale ca.
The Science of Learning and Augmented Intelligence program supports innovative research that advances our fundamental understanding of how people learn and how human cognitive abilities can be enhanced through technology and collaboration. This program is ideal for researchers, academic institutions, and organizations developing groundbreaking work in learning science, artificial intelligence integration, and human-computer interaction. The program funds research across multiple analytical levels—from molecular and cellular mechanisms to social and cultural influences—making it valuable for interdisciplinary teams. Entrepreneurs and researchers should apply if they're exploring how AI and technology can augment human learning, decision-making, and problem-solving capabilities. Special emphasis is placed on collaborative models that leverage technological connectivity at unprecedented scale. Whether you're studying cognitive processes, designing intelligent systems that adapt to humans, or investigating collective intelligence, this program provides support for transformative research that could reshape how we understand and enhance human learning and performance.
Funding Facts
● Applications openDeadline
August 5, 2026
Award Amount
From $550
Who can apply
Last verified July 5, 2026 · Source: Grants.gov
Grant Details
Grant Amount
From $550
Deadline
2026-08-05
Grant Type
federal
Application Cycle
Annual with specific deadline August 5, 2026
Best For
Academic researchers, research institutions, and organizations conducting foundational research in learning science, cognitive science, and augmented intelligence
Frequently Asked Questions
Who is eligible for Science of Learning and Augmented Intelligence?
Eligibility criteria are not specified in available information. Applicants should consult the official NSF website for Science of Learning and Augmented Intelligence program to confirm current eligibility requirements, which typically include academic institutions, research organizations, and eligible non-profit entities. Contact the program officer directly for clarification on your specific organizational status.
How much funding does Science of Learning and Augmented Intelligence provide?
The funding amount varies and is not fixed at a standard level for all awards. For specific information about funding ranges and award amounts for the current funding cycle, applicants should visit the official NSF program announcement page, as amounts may vary by project scope, duration, and research focus.
How do I apply for Science of Learning and Augmented Intelligence?
Applications are typically submitted through the NSF Grants.gov portal or the NSF FastLane system. You will need to prepare a research proposal that clearly outlines your project's focus on learning science or augmented intelligence, including theoretical frameworks, methodology, and expected outcomes. Visit the official NSF Science of Learning and Augmented Intelligence program page for the current application deadline, submission requirements, and program solicitation details.
What can Science of Learning and Augmented Intelligence funding be used for?
Funding supports research that develops theoretical insights and fundamental knowledge about learning principles, mechanisms, and processes. This includes research on how human cognitive function can be augmented through technology interactions, collaboration, or environmental context. Projects may also focus on collective and collaborative learning models, AI-enhanced decision-making, problem-solving approaches, and technology design that adapts to human learning patterns. Research can span molecular, cellular, brain systems, cognitive, behavioral, social, and cultural levels of analysis.
Last updated: July 5, 2026