Project Grant 2529209
- 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 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 $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 $249,318 National Science Foundation Social, Behavioral, and Economic Sciences award funds a two-year project from August 2021 to July 2023 titled "Computational Methods for Speech Analysis." The Washington University is the primary awardee, with subawards to the University of Pennsylvania. The project extends existing computational speech analysis packages and applies them to new datasets, including campaign speeches and police body-worn camera footage. It involves extracting...
- 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 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 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 $160,000 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports an early career scientist's postdoctoral fellowship to use computational models to understand children's language processing development. The project aims to study how quickly children can put words together as they read, designing a web-based task to measure children's word-by-word reading times and using AI language models to analyze how their...
- The National Science Foundation Division of Behavioral and Cognitive Sciences awarded a $239,580 project grant to Gettysburg College on December 1, 2021 with a completion date of May 31, 2025. The grant supports collaborative research to improve techniques of automatic speech recognition and transfer learning using documentary linguistic corpora under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). This program contributes to scientific strength and welfare through promotion...
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 extract and enhance text from low-quality historical documents. The resulting dataset and analysis are intended to support scholarship and knowledge related to public decision-making, while also providing a web-based resource for educators and journalists. The award period runs from September 1, 2025 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $225.4k | 8/22/25 |