Project Grant 2519400
- 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...
- This Project Grant award, valued at $325,000.00, was provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Washington. The project develops powerful new tools for understanding complex data, leveraging cutting-edge artificial intelligence (AI) techniques to help data analysts across diverse fields make informed, automated decisions. The research introduces novel approaches to analyze messy, heterogeneous, and large...
- 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 of $249,993 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a research project at Georgetown University to examine language data and advance language infrastructure, knowledge, and theory. The project provides empirical data for developing and testing theories of language, which are important for understanding human cognition, and trains students in these methods. The research focuses on documenting and...
- This Project Grant award, funded by the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports a collaborative research project to develop new macroeconomic modeling approaches that incorporate learning through reasoning and experience. The $264,480 award, granted on August 15, 2025, will enable researchers at Duke University to create more realistic economic models that better approximate the actual decision-making behavior of people and firms....
- 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 $471,529 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to expand the understanding of large language models (LLMs), a type of artificial intelligence (AI). The project at the Trustees of Boston University aims to move beyond identifying simple, binary concepts within LLMs and instead develop methods to discover and characterize more sophisticated, multi-dimensional...
- This Project Grant award, valued at $300,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research aimed at optimizing knowledge utilization in large language models (LLMs) to foster scientific research ideation. The key objectives of the project are to (1) develop an adversary-based reasoning approach to effectively harness the parametric knowledge within LLMs to improve research...
- This $116,797 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to document, analyze, and revitalize a contact language that has undergone significant grammatical change. The project will record 40 hours of natural speech through sociolinguistic interviews and linguistic elicitation, transcribe and annotate the data, and develop an open-access digital corpus. Grounded in theories of...
- This $200,000 Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070). The grant supports a collaborative research project led by Virginia Polytechnic Institute & State University (Virginia Tech) to develop new algorithms, theorems, and systems for reliable large language models (LLMs) and open-world foundation models (OWFMs). The key focus is to create an expandable...
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 data while respecting users' private information. The project aims to develop rigorous economic models and translate the results into actionable pricing rules 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 August 1, 2025 to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $252.8k | 7/22/25 |