Project Grant 2343580
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$193K
Federal Agency
Division of Social Behavioral and Economic Science
Awardee
Purdue University (YRXVL4JYCEF5)
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
West Lafayette, IN, USA
Similar Awards
This $272,750 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports fundamental research at the Massachusetts Institute of Technology (MIT) on how people make decisions and interact based on information. The key research focuses include: 1) understanding the long-term implications of people's limited or imperfect memory, which can lead to overconfidence and neglect of rare events; 2) examining how people decide...
This National Science Foundation (NSF) Project Grant award to Purdue University, under the Computer and Information Science and Engineering program (CFDA 47.070), focuses on developing novel technologies to enable robust, fair, and explainable data-driven decision-making systems. The $466,411 award, effective July 1, 2023 through June 30, 2028, will fund research to: 1) detect and mitigate biases in machine learning model outcomes, 2) assess the validity of data for learning fair and trustworthy...
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...
This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
Carnegie Mellon University was awarded a $738,927 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The three-year project grant, awarded September 1, 2021 and set to be completed by August 31, 2024, will support research toward developing personalized machine learning models, reasoning approaches under data-knowledge symbiosis, and interpretable interaction...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $576,351 to Purdue University to advance fair and explainable artificial intelligence through new algorithms and human-centered approaches. The award supports research activities from August 15, 2022 to July 31, 2027 to develop a family of fair, explainable, and robust data mining algorithms with...
This $299,977 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address challenging societal problems in the areas of drought resilience, emissions reduction, and infectious disease response. The overarching goal is to establish theoretical and algorithmic foundations for responsible and equitable AI-powered sequential, collective decision-making. The...
This $300,000 National Science Foundation project grant supports research at the University of Nebraska-Lincoln to develop artificial intelligence approaches for sequential collective decision-making to address societal challenges. Funded under the Computer and Information Science and Engineering program, the three-year award beginning September 2023 aims to establish theoretical and algorithmic foundations for responsible and equitable AI that makes fair tradeoffs over time across objectives in...
The National Science Foundation (NSF) awarded a $217,772 Project Grant through the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Alabama, effective July 1, 2024. This 3-year research project aims to investigate how individuals process information and make decisions when faced with prospects characterized by multiple layers of risk and/or ambiguity, such as those related to climate change or public health emergencies. The project will outline a series of...
This $462,500 Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), supports the development of advanced causal inference methods for data-driven decision making. Key products and services to be delivered include: Automated and robust causal AI systems that integrate machine learning and causal inference techniques to enable more decision-makers to leverage causal analysis. The project will...