Project Grant 2445924
- This Project Grant award of $300,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a study at Georgetown University to develop an evaluation methodology for measuring the impacts of implementing large language model (LLM)-based tools to assist human experts working in federal, state, and local government programs. The project will compare the performance of LLM-only, human-only, and human-LLM hybrid responses across key metrics...
- This federal Project Grant award, provided by the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075), funds a collaborative research project that uses machine learning to create a database of State of the State addresses from 1800 to 2016 and state-level agendas. The key products and services delivered through this $270,137 award, with a performance period from September 1, 2025 to August 31, 2027, involve collecting, cleaning, and processing the full...
- This $240,470 Project Grant awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) aims to investigate evidential markers - the grammatical coding of information source and speaker's perspectives - across different languages. The project's goal is to create treebanks/universal dependencies corpora to develop an automated deep-learning natural language processing (NLP) model that can extract information from texts...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $160,000 supports an early career researcher investigating legislative activities in city councils across the United States. The 2-year project, which commenced on August 15, 2024, aims to build an original dataset of legislative actions in hundreds of city councils and analyze differences in the topics and scope of those actions across cities and over time. The research will use...
- 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 $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
- This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $160,000 in funding to support an early career scientist developing a framework for process-level models of human language comprehension. The goal is to bridge the gap between human language behavior and computational models by analyzing incremental language processing behavior, particularly in response to imperfect input, and implementing models to...
- 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 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $250,000 to the University of Southern California (USC) to develop artificial intelligence (AI) tools that enable researchers to analyze body-worn camera footage from police traffic stops. The goal is to learn about officer-driver communication and refine best practices for traffic stop outcomes, with the tools being designed to enhance transparency,...
This Project Grant awarded by the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $500,000 to develop AI technology that extracts key information from video recordings of public meetings. The project aims to create a large public dataset and open-source code to support an interdisciplinary research community studying civic interactions. The technology leverages Large Language Models (LLMs) to identify patterns in how issues are discussed and the types of issues raised by meeting participants. The final products will enable individuals, decision-makers, and researchers to better access, process, and utilize the wealth of information contained in public meeting recordings. This award reflects the NSF's mission to advance scientific understanding of human behavior and social dynamics to address complex societal challenges. No sub-awards are planned under this grant, which has an award date of September 15, 2025 and an anticipated completion date of August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 8/22/25 |