Project Grant 2519401
- This Project Grant award, totaling $252,798.00, was provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The award will fund a collaborative research project led by Yale University to analyze three linked questions: (i) how to price the tokens that govern access to large language models; (ii) how to design cloud-computing contracts that reward sustained but flexible demand; and (iii) how platforms can share and aggregate...
- 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 Federal Project Grant award of $100,000, issued by the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences under CFDA Program 47.049, funds a collaborative research effort between an economist and two electrical engineers from the Massachusetts Institute of Technology (MIT). The project aims to use insights from mechanism design to develop ways to share wireless spectrum in the 6 GHz band, addressing the pressing need for economically viable spectrum sharing...
- This $138,000 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research on heterogeneous agent modeling of the personal data economy. With a performance period from August 2021 through July 2023, this award will support the development of models to analyze how individual behaviors and interactions shape markets involving the exchange of personal data. As part of its mission to advance the social and economic sciences, the NSF SBE...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop algorithms and theoretical analysis for large-scale resource allocation challenges. The $261,620 award to the University of Massachusetts will fund research across three core areas: (1) effective preference elicitation to gather user preferences while minimizing cognitive burden, (2) accounting for preference uncertainty in allocation mechanisms,...
- This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), is providing $600,000.00 over 3 years to the University of Colorado to study algorithmic and economic principles for designing effective online marketplaces and platforms. The research focuses on the "Pandora's Box" problem, where participants must expend effort to search for and evaluate alternatives, balancing the value of their choices...
- This $425,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support collaborative research to develop new algorithmic and machine learning tools for incentivizing robust networked data exchange. The project aims to design data ecosystems that yield more representative and reliable datasets, with the goal of better reflecting the needs of all Americans. The research will integrate concepts from computer...
- The National Science Foundation Division of Social and Economic Science awarded a $245,721 Project Grant to the Massachusetts Institute of Technology for collaborative research titled "Information and Markets." The three-year award runs from August 1, 2021 through July 31, 2024 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The funding will support research examining how information impacts markets. The Social, Behavioral, and Economic Sciences program...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports collaborative research at Columbia University focused on developing incentive-driven algorithms and machine learning tools to improve the quality and representativeness of data used in high-stakes decision-making. The $575,000 award, with a project period from August 1, 2025 to July 31, 2028, aims to design data...
- This federal Project Grant award of $227,984.00, awarded on January 15, 2025 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research by the Massachusetts Institute of Technology (MIT) to advance the theoretical and practical understanding of equilibrium computation and learning dynamics in multi-agent interactions, such as in military, security, and auction settings. The project aims to develop new algorithms and...
This Project Grant award of $226,000.00 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports collaborative research on the economics of algorithms, computing capacity, and data. The key objectives are to: (i) Develop pricing models for access to large language models, (ii) Design cloud computing contracts that incentivize sustained but flexible demand, and (iii) Analyze data markets and mechanisms for platforms to share consumer information while respecting privacy. The research team from the Massachusetts Institute of Technology (MIT) will build and solve economic mechanism design models to address these issues and translate the findings into actionable pricing rules. This work is expected to advance the efficient allocation of digital resources, inform regulatory and antitrust debates, and support workforce development through graduate training and open educational materials. The award period is from Aug 1, 2025 to Jul 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $226.0k | 7/22/25 |