Project Grant 2529210
- This $225,431 federal Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project at The Washington University that uses machine learning to create a comprehensive database of State of the State addresses from 1800 to 2016. The project involves collecting, cleaning, and processing the full set of speeches from U.S. state governors over time, leveraging novel techniques 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 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...
- 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 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 $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) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $268,067 to The Research Foundation For The State University Of New York (RF SUNY) to advance linguistic research through the development of speech technologies. The key products and services delivered under this 2-year award, which runs from August 1, 2025 to July 31, 2027, include: Creation of benchmark datasets, comprehensive lexica, and advanced data...
- 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 $244,516 federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a research project to document and analyze three languages with unusual grammatical structures. The goal is to expand existing language databases and advance the understanding of language evolution, structure, and function through comparative analyses. Key project outputs will include grammars, lexicons, and transcribed texts, leveraging...
- 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 set of governors' speeches over time. This data collection and analysis work will advance the study of unstructured data and the use of AI/machine learning techniques, ultimately supporting knowledge and scholarship related to public decision-making, while also providing a web resource for educators and journalists. No sub-awards are planned for this project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $270.1k | 8/22/25 |