Project Grant 2306499
- This National Science Foundation (NSF) Engineering Research Initiation (ERI) project grant, under CFDA 47.041, is awarded for $200,000 to the University of the Pacific to develop a novel wearable sensing and analysis system for early detection of autism spectrum disorder (ASD) in young children and toddlers. The research aims to leverage non-invasive wearable devices to collect physiological and environmental data, and then use machine learning to identify physiological biomarkers and early...
- This Project Grant award, provided under the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070), seeks to co-design an AI-based solution for collecting and analyzing behavior data to support coordinated care for children with autism spectrum disorder (CWA). The University of Texas at San Antonio (UTSA), the prime awardee, will partner with community stakeholders in a pilot study in San Antonio, TX to develop an AI-augmented platform for CWA...
- This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program provides $456,853 to Michigan Technological University to develop new technology to enhance communication and interaction for individuals with severe disabilities. The project aims to create a novel user interface that combines multiple information sources, such as eye gaze, language models, behavioral patterns, and input sequences, to improve the speed...
- This $1,871,692 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will fund research to develop and evaluate an assistive wearable technology (smartwatch application) to improve employment outcomes for neurodiverse workers, such as those with autism spectrum disorders or attention deficit hyperactive disorder. The research will involve controlled experiments and a workplace field study to assess how the wearable technology can enhance...
- This $256,000 National Science Foundation Project Grant will support Products For Any Lifestyle, Inc. (PAL) in developing a wearable device and machine learning model to predict and prevent meltdowns in children with autism. The NSF Technology, Innovation, and Partnerships program aims to advance breakthrough technologies addressing national challenges. PAL will create a prototype wearable that continuously monitors biometrics to predict meltdowns using individualized machine learning models. By...
- This Project Grant award of $149,996 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop an IoT-enabled generative AI platform that enhances real-time response to emergency behavioral events involving autistic individuals. The project, being conducted by Southern Methodist University (SMU), will involve a feasibility and pilot study to create a smart, connected community for coordinated emergency response. The key...
- This Cooperative Agreement award from the National Science Foundation's Technology, Innovation, and Partnerships program (CFDA 47.084) provides $1 million to Itherapy, LLC of Martinez, California to develop an evaluative artificial speech intelligence and autism screener system called EASI-AS. The system aims to improve treatment for children with communication impairments by providing specialists and parents with accurate, efficient reports on speech and language evaluations along with...
- The National Science Foundation awarded a $799,999 Project Grant to the University of Miami under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) to support research titled "Objective Measurement of Naturalistic Interaction and Early Social Networks." The grant will fund research from September 1, 2022 through August 31, 2025 to objectively measure preschoolers' locations, speech, and social interactions using sensor systems in real-time classroom...
- Federal Project Grant Award Summary The National Science Foundation (NSF) awarded $409,839 to the Regents of the University of Michigan under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop innovative tools and frameworks that empower people who are blind to create personalized assistive technology solutions. The project, initiated on June 15, 2025, and scheduled for completion by May 31, 2030, addresses the limitations of existing one-size-fits-all...
- This $1,999,188 Project Grant award from the National Science Foundation (NSF) under the Engineering (CFDA 47.041) program supports a research project titled "Improving Disability Inclusion in the Workforce Through Assessment and Augmentation of Individual Abilities and Workflow Redesign in Real-World Contexts" at Michigan State University. The key objectives of this 4-year research project are to: (1) assess the individual abilities (sensorimotor, cognitive, psychological) of...
This National Science Foundation (NSF) Division of Information and Intelligent Systems award provides $600,000 over 3 years (8/1/2023 - 7/31/2026) to Michigan State University to develop an assistive technology framework for improving social skills interventions for children with autism and other developmental disabilities in classroom settings. The key products to be developed include a wearable human interaction tracker (WHET) tag that can quantitatively measure and track interactions between students. This sensed data on peer engagement behaviors is provided to teachers to enable more targeted social skills interventions. The awarded project aims to improve the quality and effectiveness of these critical interventions to help children with social deficits improve their mental health, friendship formation, and long-term outcomes. This work aligns with NSF's Computer and Information Science and Engineering (CISE) program, which supports research advancing computing, communications, and information science.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/3/23 |