Project Grant 80NSSC19K1552

This $311,746 project grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to investigate the neural and computational mechanisms underlying flexible, goal-directed decision-making in humans. The project combines computational modeling with behavioral, attentional, and brain activity measures to uncover the capacities and limits of how people adjust their information search and actions to different goals and task...

The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $500,000 Project Grant to the University of California, Davis (UC Davis) to understand how the brain supports decision-making processes. The three-year grant, awarded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), aims to identify neural features that provide information about the decision-making process, build decoders to predict decisions, and develop a closed-loop...

This National Science Foundation (NSF) Division of Social and Economic Science Project Grant award of $234,489 supports collaborative research at New York University (NYU) from September 1, 2023 to August 31, 2026. The primary objectives are to: Conduct a series of experiments to understand how people form subjective causal models based on observed data patterns, and how these models may be influenced by preconceptions triggered by natural contexts. This will provide insights into how economic...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $300,000 to support research on developing machine learning models for structural estimation of dynamic decision-making. The goal is to create computational frameworks that can capture an agent's decision-making process, including their preferences and understanding of the environment, to enable improved decision-making systems...

This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $371,469 to the Trustees of Indiana University to develop a computational model and conduct empirical studies to understand the dynamics of how people generate subjective probability forecasts under time pressure. The key objectives are to: 1) develop a computational model to predict how people's subjective probability judgments change over time as they...

This Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $545,811 in funding to The Trustees of Princeton University to conduct research on "Increasing Choice Process Awareness to Align with Agentic Decision Makers." The goal of this 3-year project is to investigate how individuals can make choices that are more consistent with their personal values and goals. The research employs a novel...

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $174,952 will support the development of explainable mathematical frameworks and algorithms for integrating multi-source sensor data from multiple modalities. The awardee, the Regents of the University of Michigan, will receive the funding from May 1, 2022 to April 30, 2024. The project aims to advance fundamental knowledge in explainable data integration through a weakly...

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...

The National Science Foundation (NSF) awarded Emory University a $683,097 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, titled "Collaborative Research: HCC: Medium: Modeling and Mitigating Confirmation Bias in Visual Data Analysis", runs from November 1, 2023 to October 31, 2027. The project aims to investigate confirmation bias in data analysis and develop interventions to help data analysts make less biased decisions. Key...

The University of California Irvine was awarded a three-year, $356,874 Project Grant from the National Science Foundation under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant will support collaborative research examining the interaction of sensory and response processes in decision making. Over the grant period spanning September 2021 through August 2024, the University will conduct basic research and education to further scientific understanding of how...