Project Grant 2312659
Award Date
8/1/23
Completion Date
7/31/27
Dollars Obligated
$299K
Federal Agency
Division of Information and Intelligent Systems
Awardee
Oberlin College (ZY4LY6PDKLM1)
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Oberlin, OH 44074, USA
Similar Awards
This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems, under the NSF CISE (Computer and Information Science and Engineering) program (CFDA 47.070), provides $424,916 to the Board of Regents of the University of Nebraska (dba University of Nebraska) from August 1, 2023 to July 31, 2027. The award supports collaborative research to investigate decision-making frameworks for open multiagent systems, where agents may enter/leave the...
This National Science Foundation Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $467,141 to the University of Georgia Research Foundation to investigate decision-making frameworks for open multi-agent systems with various forms of uncertainty. The research aims to develop novel planning and reinforcement learning techniques to enable agents to operate optimally in open contexts where the system composition, tasks, and agent...
This $398,990 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research exploring fundamental principles underlying multi-agent learning and interactions in complex systems. The primary goals are to develop computationally efficient algorithms that provably converge to equilibrium states, particularly in scenarios with both cooperative and competitive agent interactions and large action...
This $299,977 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address societal challenges such as managing drought, reducing emissions, and responding to infectious diseases. The key focus areas include: 1) establishing fair, multi-objective, and collective decision-making frameworks for a single time period, 2) exploring fair sequential multi-objective...
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...
This $1,500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the University of Southern California's research on safe multi-agent systems using a neurosymbolic approach. The project aims to develop new theories and algorithms for the design of safe learning-enabled multi-agent systems, with applications in areas like wildfire prevention using drone swarms and semi-automated...
This Project Grant award of $160,673 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to combine algorithms and machine learning to improve decision-making under uncertainty. The project, led by New York University (NYU), will explore incorporating machine-learned predictions into algorithm design as well as developing learning models optimized for specific algorithmic objectives. This work aims to create a...
This $247,811 Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) supports research at Oberlin College to develop and test AI programming tools to assist scientists in writing computer programs for scientific research. The goal is to create AI models and tools that can help scientists, who are not expert programmers, be more productive and improve the reproducibility of scientific work. Key products and services include developing large language...
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 Project Grant award of $101,476 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop reliable machine learning algorithms for decision-making in complex feedback systems. The award, running from April 1, 2025 to March 31, 2030, will fund research on leveraging potentially unreliable machine learning predictions while ensuring safety and performance, learning long-term impact models from non-stationary...