Project Grant 2215259
- The National Science Foundation awarded a $294,401 Project Grant to the University of Chicago under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant supports research developing new tools for robust predictions in strategic games with incomplete information. Specifically, the researchers will generalize the solution concept of Bayesian correlated equilibrium to characterize rationalizable behavior under common prior beliefs about unobserved payoff-relevant states....
- The National Science Foundation awarded a $162,948 project grant to Stanford University on September 15, 2021 for strategic information disclosure research. The grant is part of NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075) and will fund research from September 2021 through August 2024 exploring how the strategic release of information impacts decision-making. The grant supports basic research examining how individuals and organizations make choices when some...
- The National Science Foundation (NSF) has awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to The Trustees of Columbia University in the City of New York, operating through its Sponsored Projects Administration Division. The 3-year grant, awarded on February 1, 2024, supports research to address open questions in algorithmic game theory and its applications to online markets and platforms. Key research objectives include developing new...
- This award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) provides $160,000.00 to Carnegie Mellon University to develop a new game-theoretic approach to statistical inference. The key products and services to be delivered include: Developing a fundamental theory and methodology for nonparametric, game-theoretic statistical inference, including hypothesis testing, confidence intervals/sequences, and change point detection. This work aims to create more...
- This National Science Foundation Project Grant award, provided through the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a postdoctoral fellowship for an early-career scientist to study human decision-making, learning, and innovation in novel systems of rules and reward. The $160,000 award, spanning January 1, 2026 to December 31, 2027, will be used to conduct large-scale behavioral studies, including human-human gameplay experiments, to empirically validate a...
- This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems supports research to significantly increase the scalability of algorithms for solving large-scale, multi-step, imperfect-information strategic interactions. Specifically, the $854,896 award to Carnegie Mellon University (CMU) from August 1, 2023 to July 31, 2026 will fund the design, implementation, and testing of novel techniques in three main areas: Scalable subtree solving...
- The National Science Foundation awarded a $499,962 Project Grant to Stanford University from June 2021 through May 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research into algorithmic game theory, equilibria, and related topics. As part of the Computer and Information Science and Engineering program's goals around advancing computing and communications research and infrastructure, this project aims to advance the development of...
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) provides $300,000 to the University of Southern California (USC) to explore new mathematical tools to better understand complex systems shaped by uncertainty and strategic behavior. The project investigates three key areas: mean field games, insider trading problems, and reinforcement learning algorithms for stochastic control under model uncertainty. The goal is...
- This $599,744 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research by Yale University to develop new theory and methods for analyzing, training, and designing complex, high-dimensional multi-agent games and machine learning systems. The key activities under this 3-year award include: Developing optimal uncoupled algorithms for computing and learning equilibria in high-dimensional concave games...
- This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $398,958 in funding to The Washington University from January 1, 2023 to December 31, 2025. The grant supports research and curriculum development activities aligned with the Computer and Information Science and Engineering federal grant program. Specifically, the grant will advance the use of deep learning and gradient-based optimization methods to develop new computational tools for...
This National Science Foundation project grant of $146,801 will support research into new approaches for modeling games of incomplete information from July 2022 through June 2025. Funded under the Social, Behavioral, and Economic Sciences program, the research aims to develop robust predictive tools for strategic situations where outcomes depend on unobserved states and players receive private signals. Specifically, the grant will further generalized solution concepts that characterize rationalizable behavior under common beliefs despite imperfect information. It will also study bounds on players' information and derive new trading mechanisms guaranteed to produce gains from trade when values are interdependent and information is correlated. Insights on robust trading platforms could improve market efficiency. The work will be performed by the University of California, San Diego under its Office of Contract & Grant Administration.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $146.8k | 7/12/22 |