Project Grant 2535552
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $225,974 to Cornell University to investigate how technological augmentations can enhance the learning and effectiveness of work teams, community groups, classrooms, and other collectives. The research examines the parameters that drive group-directed learning in areas such as cooperative behavior, collective intelligence, and collective creativity. The...
- This $323,388 award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project to examine how smart technological environments can be optimized to augment collective learning and creativity. The research aims to investigate the parameters that drive group-directed learning in three key areas: cooperative behavior, collective intelligence, and collective creativity. The project involves large-scale...
- This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $106,000 to the Research Foundation of the City University of New York (RFCUNY) to conduct research on designing smart environments to enhance collective learning and creativity. The key products and services to be delivered under this 3-year award include: Developing large-scale online experiments and computational models to investigate how technological...
- The University of California, San Diego (UCSD) has been awarded a $394,347 Project Grant from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences. This grant, titled "Collaborative Research: Neural Computational Rules of Robust and Generalizable Learning", aims to investigate the fundamental neural computations that enable fast, robust, and generalizable learning in biological systems, with the goal of informing the development of novel artificial...
- The National Science Foundation (NSF) Division of Social and Economic Science awarded a $525,175 Project Grant to the University of Southern California (USC) to study the evolution of collective decision-making from childhood to adulthood. The three-year research project, titled "The Evolution of Collective Decision-Making from Childhood to Adulthood: Markets, Networks and Institutions", will employ experimental techniques to investigate decision-making behavior and the cognitive and...
- The National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) awarded a $500,000 Project Grant to Northwestern University to investigate how animals' use of imagination underlies their biological learning advantage compared to current artificial intelligence (AI) systems. The 3-year project, beginning September 1, 2025, will conduct first-of-its-kind experiments monitoring animal brain activity during avoidance of an autonomous robot threat. The researchers will then use...
- This Project Grant award of $300,000.00 from the National Science Foundation (NSF) Office of Integrative Activities Program (CFDA 47.083) supports research by the Board of Regents of the University of Nebraska to investigate the relationship between environmental variation and the evolution of cooperative social groups in Australian birds. The project will leverage citizen science data and field experiments to understand how factors like temperature, rainfall, and land use impact group size...
- This $379,937 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a computational research project at Yale University investigating how humans infer social relationships and group dynamics. The project aims to develop a theory and computational model of "structure learning" - the psychological processes that allow people to learn about social relationships by observing patterns of interaction between individuals....
- This $364,766 Project Grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports fundamental research on the psychology of mass behavior and how large groups of people reason, form beliefs, and interact. The research project, conducted by the University of California, Santa Barbara, aims to extend behavioral economics methods to understand how individuals respond to and reason about the behavior of large groups. Key areas...
- The National Science Foundation (NSF) awarded a 3-year, $200,000 Project Grant to Brown University under the Integrative Activities (CFDA No. 47.083) program. The purpose of this collaborative U.S.-Israel research project is to investigate the neural mechanisms by which learning can be enhanced for both visual and motor skill acquisition. The research aims to integrate findings on memory reactivation and the role of sleep in facilitating skill learning, and to understand how these processes work...
EMPIRICAL AND THEORETICAL INVESTIGATION OF ASSOCIATIVE LEARNING IN GROUPS -LEARNING IS A CENTRAL PSYCHOLOGICAL CONSTRUCT THAT HAS BEEN STUDIED PRIMARILY IN INDIVIDUALS. HOWEVER, HUMANS AND OTHER SOCIAL ANIMALS OFTEN LEARN WITH OTHERS, YIELDING OUTCOMES THAT ARE OFTEN SUPERIOR TO THOSE OBTAINED BY LEARNING ALONE?A PHENOMENON KNOWN AS COLLECTIVE LEARNING. THIS PROJECT INVESTIGATES THE EXTENT TO WHICH FUNDAMENTAL PRINCIPLES OF ASSOCIATIVE LEARNING, WHICH OPERATE AT THE LEVEL OF INDIVIDUAL ORGANISMS, CONTRIBUTE TO COLLECTIVE LEARNING. JUST AS INDIVIDUALS LEARN ABOUT CORRELATIONS IN THE ENVIRONMENT (E.G., RAIN TYPICALLY FOLLOWS DARK CLOUDS), THEY MAY ALSO LEARN ABOUT CORRELATIONS BETWEEN STIMULI IN THE ENVIRONMENT AND THE ACTIONS OF OTHER INDIVIDUALS (E.G., RAIN TYPICALLY FOLLOWS IF YOU SEE PEOPLE CARRYING UMBRELLAS). THE INVESTIGATORS WILL TEST A MATHEMATICAL MODEL THAT POSTULATES HOW ASSOCIATIVE LEARNING IN INDIVIDUALS CONTRIBUTES TO COLLECTIVE LEARNING USING ANIMAL MODEL SYSTEMS. THE SPECIFIC ANIMAL MODELS ARE SELECTED BECAUSE (A) LIKE HUMANS, THEY ARE HIGHLY SOCIAL AND LEARN COLLECTIVELY, (B) THEY AFFORD THE NECESSARY LEVEL OF EXPERIMENTAL CONTROL UNDER LABORATORY CONDITIONS TO TEST THE PROPOSED MATHEMATICAL MODEL, AND (C) THE EVOLUTIONARY DISTANCE BETWEEN THEM IS LARGE ENOUGH TO IDENTIFY GENERAL MECHANISMS OF COLLECTIVE LEARNING. THE BASIC RULES OF COLLECTIVE LEARNING FOUND IN THESE ANIMAL GROUPS CAN BE LEVERAGED TO PROMOTE ADVANTAGEOUS ASPECTS OF COLLECTIVE LEARNING AND TO ANTICIPATE ITS DETRIMENTAL CONSEQUENCES. THIS PROJECT AIMS TO IDENTIFY FUNDAMENTAL PROCESSES OF COLLECTIVE LEARNING. A SERIES OF ASSOCIATIVE-LEARNING EXPERIMENTS WILL TEST WHICH FORM OF TRAINING?INDIVIDUAL OR COLLECTIVE?RESULTS IN FASTER AND MORE DURABLE LEARNING THAT IS RESILIENT TO INTERFERENCE FROM UNINFORMATIVE CUES. FOR EACH EXPERIMENT, A PREDICTION WILL BE MADE BASED ON A SIMPLE COMPUTATIONAL MODEL THAT ASSUMES THAT THE BEHAVIOR OF OTHER GROUP MEMBERS CAN BE LEARNED AS AN INFORMATIVE CUE. THE GENERALITY OF THE PROPOSED MODEL WILL BE TESTED ON NEST-SEEKING BEHAVIOR IN SOCIAL INSECTS AND FOOD-SEEKING BEHAVIOR IN SOCIAL MAMMALS. ASIDE FROM THEIR SOCIALITY AND CONVENIENCE, SPECIFIC SPECIES WERE SELECTED AS ANIMAL MODELS BECAUSE THEY LACK THE HIGHER COGNITIVE SOPHISTICATION OF HUMANS. THIS MAKES IT EASIER TO UNCOVER THE BASIC ASSOCIATIVE MECHANISMS UNDERLYING COLLECTIVE LEARNING, WITHOUT HAVING TO CONTROL FOR POTENTIAL INTERFERENCE BY COGNITIVELY COMPLEX NON-ASSOCIATIVE PROCESSES, SUCH AS VERBAL COMMUNICATION. NONETHELESS, ASPECTS OF THE MODEL THAT ARE VALIDATED WITH DIFFERENT PARAMETERS ARE EXPECTED TO GENERALIZE TO HUMAN LEARNING AND CAN BE THE BASIS OF FURTHER EXAMINATION IN HUMANS. THESE FINDINGS WILL, THEREFORE, AID IN DETERMINING THE FACTORS THAT CAN PROMOTE OR IMPEDE COLLECTIVE INTELLIGENCE WHEN HUMANS OR MACHINES (E.G., ARTIFICIAL INTELLIGENCE) PERFORM TASKS AS A GROUP. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $172.1k | 7/3/25 |