This National Science Foundation Project Grant of $460,041 awarded to the University of Texas at Austin on October 1, 2021 supports research in algorithmic mechanism design under the Computer and Information Science and Engineering program (CFDA 47.070). The two-year project aims to develop new algorithmic techniques for designing market mechanisms that model consumer behavior and other real-world constraints more faithfully while maintaining simplicity and near-optimal performance....
This $462,400 National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award to the President and Fellows of Harvard College (Harvard University) aims to improve the design and implementation of matching mechanisms for various applications, such as school choice programs and physician residency assignments. The research objectives are to: 1) enhance empirical understanding of how diverse populations comprehend and interact with these mechanisms,...
This federal Project Grant award of $192,213 was provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant supports a research project titled "BALANCING TRUST AND ACCOUNTABILITY: CHARITIES, GOVERNMENT, AND SOCIETY" conducted by the University of Texas at Dallas (UTD). The project aims to study cross-sector opinions on trust and accountability, examining the variation in regulatory approaches, interpersonal...
This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research on the ethical implications of using randomization in social science experiments. The $399,724 award to New York University (NYU) has a period of performance from January 1, 2024 to December 31, 2025. The project aims to develop formal mathematical models to analyze the welfare consequences of random versus non-random methods for assigning...
This $499,237 National Science Foundation project grant supports research at the University of Michigan from October 1, 2022 to September 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The research aims to develop a theoretical framework for algorithmic and statistical fraud detection applicable across domains. The investigator will design methods with formal guarantees on efficiency and efficacy, studying abstract fraud detection games and applying...
This $1,199,808 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research on algorithmic techniques for fair and trustworthy allocation of scarce societal resources. Key goals include designing allocation methods for human services like homelessness support, developing foundational models for equitable deployment of public resources, and creating algorithmic decision support tools to align...
This $244,636 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research on new frontiers of fairness in allocation and exchange problems. The project aims to develop novel methods for fair allocation and exchange of chores, indivisible goods, and data in emerging online economies. Key research areas include investigating the foundations of fair allocation and exchange, advancing optimization and...
The National Science Foundation (NSF) awarded a $360,000 Project Grant to the University of Illinois under the Engineering Program (CFDA 47.041) to support fundamental research and development on incentive design mechanisms. The 3-year project, commencing on September 1, 2024, aims to advance the theory of incentive design by removing stringent assumptions that limit its practical application. The research will explore how agents can learn each other's preferences, how behavioral traits...
This National Science Foundation (NSF) Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $278,400 to Northwestern University to conduct research on "Private Disclosures in Competing Mechanisms: Theory and Applications." The research examines a novel dimension in the design of sophisticated mechanisms used in competitive markets, specifically the practice of asymmetric information disclosure to agents. The project aims to develop new...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $259,116 to Trustees of Boston University focuses on designing mechanisms that allocate resources in a way that maximizes consumer utility, defined as the value of the allocation received minus the payments made. The project explores trade-offs between efficient allocation and the burdens imposed on individuals, aiming to develop simple, explainable...