Project Grant 2429405
Award Date
1/1/25
Completion Date
12/31/26
Dollars Obligated
$165K
Federal Agency
Office of Integrative Activities
Federal Grant Program
47.083
Assistance Type
Project Grant
Place of Performance
Columbus, OH 43210, USA
Similar Awards
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), will fund a collaborative research project to study human planning and decision-making through the analysis of a massive dataset of chess games. The $562,614 award to New York University, with a project period from September 1, 2023 to August 31, 2026, will leverage artificial intelligence techniques to gain insights into how individuals form complex...
This $192,632 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences Directorate (CFDA 47.075) supports interdisciplinary research at Purdue University exploring how to improve decision-making processes. The project aims to develop a novel theory and operational framework for understanding how individuals and organizations weigh information sources and aggregate disparate data to reach conclusions, with applications in areas like user interface...
This $4,546,903 Project Grant awarded by the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) aims to enhance post-award research administration through the development of open-source tools that integrate artificial intelligence (AI) and data science. The key objectives are to: 1) Develop open data models and workflows to improve data accessibility and interoperability in research administration; 2) Create AI-powered tools to automate manual processes, reduce...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award, valued at $411,707, provides funding for a collaborative research project studying the neural and computational mechanisms underlying flexible goal-directed decision-making. The project, awarded to the University of California, Berkeley, aims to better understand how people can flexibly adjust their information search and actions to achieve different goals and handle varying task...
This $279,399 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will support the development of novel techniques and methods to adapt foundation models for multimodal sequential decision-making. The project aims to significantly increase the applicability of foundation models across a wide range of sequential decision-making applications, such as smart manufacturing, multi-agent systems, and...
This National Science Foundation project grant of $625,000 will fund research into the brain network mechanisms underlying task-general cognition and intelligent human behavior from September 2022 to August 2025. Under the federal Social, Behavioral, and Economic Sciences program (CFDA 47.075), Rutgers University, Newark will investigate how dynamic activity flows within cognitive control networks implement intelligent goal-directed behavior across diverse tasks. Researchers will utilize brain...
The National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) awarded a $529,508 Project Grant to the University of California, Berkeley to investigate the cognitive mechanisms that enable individuals to leverage the brain's motivation system for arbitrary goals. The 3-year research project, starting on June 1, 2024, aims to uncover how learning and decision-making differ when people pursue familiar, objective rewards versus novel, self-imposed...
This $714,203 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support research conducted by New York University (NYU) on how people change their planning behavior in response to uncertainty in their environment. The project aims to develop computational models of human planning under varying levels of randomness, including uncertainty in rewards, actions, and volatile environments. The research will analyze...
This Project Grant award of $722,109 from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project between computational and experimental neuroscientists at Brown University. The goal is to investigate the role of brain rhythms in the prefrontal cortex during decision-making and categorization tasks. The project will leverage computational models and electrophysiological recordings in both humans and...
This Project Grant award of $910,000 from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences supports research on the "Mechanisms of Willed Attention" at the University of California, Davis (UC Davis). This research, under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), aims to investigate the brain mechanisms that enable humans to voluntarily direct their attention, especially in the absence of external cues. Using...