Cooperative Agreement 2524698
- This $401,324 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant will fund a 5-year project led by the Research Foundation for the State University of New York (RF SUNY) to develop an innovative American Sign Language (ASL) learning platform using wearable devices integrated with artificial intelligence (AI). The key objectives are to: 1) design wearable devices for...
- This $239,973 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the development of a new artificial intelligence-based tool to improve collaborative learning experiences and outcomes for deaf students in university-level science courses. The project aims to address challenges around the lack of standard American Sign Language (ASL) terminology for many scientific concepts, which can hinder deaf...
- This $260,027 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the development of a new artificial intelligence tool designed to improve collaborative learning experiences for deaf students in university-level science courses. The project aims to address challenges around the lack of standardized American Sign Language (ASL) signs for many scientific concepts, which can hinder deaf students'...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $174,999 to Gallaudet University to develop principled methods for studying and designing American Sign Language (ASL)-based intelligent personal assistants (IPAs) that enable deaf ASL users to interact with computers. The project aims to conduct experiments with deaf users to understand how well ASL-based IPA interfaces that recognize limited...
- The National Science Foundation (NSF) awarded a $549,999 Project Grant under the Computer and Information Science and Engineering (CISE) federal grant program to Georgia Tech Research Corporation. The award, effective from May 1, 2025 to April 30, 2027, aims to create a framework for mobile device developers to use on-device sign language recognition to develop educational software for deaf children and their hearing parents. The project will develop educational software, tools, datasets, and...
- Rutgers, The State University was awarded a $750,000 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop artificial intelligence-based tools to enhance access and opportunities for deaf and hard-of-hearing individuals. Specifically, the grant will fund development of tools for privacy protection for American Sign Language video communication and video search-by-example for accessing multimedia digital...
- This $165,014 National Science Foundation project grant will fund the development of linguistically-driven sign recognition technologies from continuous American Sign Language (ASL) signing videos. The Rochester Institute of Technology will receive funding under the Computer and Information Science and Engineering program (CFDA 47.070) to advance sign recognition techniques for isolated citations to segmented signs within sentences. The research will create an end-to-end machine learning...
- This National Science Foundation project grant of $149,999 supports research on American Sign Language grammar through 2026. Funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the collaborative project will analyze usage of specific ASL signs in online videos to contribute to understanding ASL structure. It will establish best practices for accessible research using internet data and increase participation of deaf linguists. Specifically, researchers will collect...
- This National Science Foundation Project Grant of $628,966 will fund research from August 2022 to July 2025 to develop technologies for recognizing American Sign Language (ASL) from continuous signing videos. The award was made under the Computer and Information Science and Engineering program (CFDA 47.070), which supports research and education in computing and information sciences. The grantee, Rutgers University, and its partners will create a novel machine learning approach with three key...
- This seven hundred forty-nine thousand nine hundred sixty dollar National Science Foundation project grant will fund the development of next-generation augmentative and alternative communication technology powered by artificial intelligence. Under the NSF's Technology, Innovation, and Partnerships program, the University of Arkansas will lead a collaborative effort with Temple University to spearhead a new generation of AI-powered AAC devices through December 2023. The project aims to enhance...
This National Science Foundation (NSF) Cooperative Agreement award, funded under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, provides $1,250,000 to Sign-Speak Inc. to develop a real-time artificial intelligence (AI) bidirectional American Sign Language (ASL) communication system. The goal is to create an advanced communication solution that uses computer vision and machine learning to enhance communications for the deaf and hard-of-hearing (DHH) community. The broader impact of this project includes reducing social isolation, fostering greater independence, and promoting the full integration of DHH individuals into the U.S. economy by unlocking access to a range of services and platforms. The 2-year project period runs from September 15, 2025, through August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.3m | 9/4/25 |