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 analyzing large-scale, multiparty interactions with incomplete information. This includes strategic scenarios like combinatorial auctions and security interactions that currently lack effective general-purpose analysis techniques. The research is also aimed at automatically discovering and leveraging symmetry and sparsity in incomplete information settings. Additionally, the funding will contribute to new undergraduate and graduate curricula on game-theoretic modeling and support interdisciplinary research experiences for students in economics and computation.