Simpler Grants.gov #PD-19-127Y

NSF Science of Learning and Augmented Intelligence Research Grant

This opportunity from the U.S. National Science Foundation (NSF) invites proposals for research in the Science of Learning and Augmented Intelligence (SL) program. - Government Buyer: - U.S. National Science Foundation (NSF) is the sole agency and grantor - Products/Services Requested: - Transformative research projects focused on learning principles and augmented intelligence - Emphasis on interdisciplinary and convergent approaches - Supported research methods include: - Experiments - Field studies - Surveys - Computational modeling - Artificial intelligence (AI) and machine learning techniques - Unique or Notable Requirements: - No specific OEMs, vendors, or commercial products are requested - No cost sharing or matching requirements - Eligibility is unrestricted; open to a wide range of applicants - Focus on enhancing human cognitive function through interactions with others, technology, or context variations - Research may span molecular, cellular, brain systems, cognitive, behavioral, and social levels of analysis - Place of Performance: - U.S. National Science Foundation (federal office) - This is a discretionary grant opportunity, not a procurement of goods or services.

Description

The Science of Learning and Augmented Intelligence (SL) program supports transformative research to develop fundamental knowledge about learning principles and augmented intelligence, focusing on how human cognitive function can be enhanced through interactions with others, technology, or context variations. Research spans multiple levels of analysis including molecular, brain systems, cognitive, behavioral, and social influences, and includes studies on collaborative and collective models of learning and intelligence. The program encourages interdisciplinary projects and supports various research methods such as experiments, field studies, surveys, computational modeling, and AI or machine learning techniques. Connections to technological, educational, and workforce applications are considered valuable broader impacts but are not central to the intellectual merit of the research.

View original listing