Science of Learning and Augmented Intelligence

The Science of Learning and Augmented Intelligence (SL) program supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes, and mechanisms of learning, and about augmented intelligence. The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis. Some key areas of focus include: * Collaborative and collective models of learning and intelligence * Augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes can be improved through interactions with others or through the use of artificial intelligence in technology * Integrating research findings and insights across levels of analysis * Insights from biological learners that can contribute and derive new theoretical perspectives to artificial intelligence, neuromorphic engineering, materials science, and nanotechnology The program supports a variety of approaches, including experiments, field studies, surveys, computational modeling, and artificial intelligence or machine learning methods.