Project Grant R21HD116223
Award Date
7/10/25
Completion Date
6/30/27
Dollars Obligated
$432K
Federal Agency
National Institute of Child Health and Human Development
Federal Grant Program
93.865
Assistance Type
Project Grant
Place of Performance
Houston, TX 77204, USA
Similar Awards
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 of $208,888.00 from the National Institute of Mental Health (CFDA 93.242 - Mental Health Research Grants) supports research to develop computer vision techniques for identifying autism spectrum disorder (ASD) motor deficits in infants. The Washington University project aims to leverage deep learning and computational ethology to automatically extract and analyze kinematic data from video assessments of infant behavior, with the goal of creating objective, scalable...
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 $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...
The National Science Foundation (NSF) awarded a $319,556 Project Grant under the Computer and Information Science and Engineering (CISE) program to The Research Foundation for the State University of New York (RF-SUNY) at the University at Albany. The project aims to advance computational modeling of autism spectrum disorder (ASD) through multimodal data collection, fusion, and phenotyping. The research team will integrate behavioral data (e.g. eye tracking, audio/video) with neuroimaging data...
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 Project Grant award of $297,083 from the National Institute of Mental Health (CFDA 93.242 - Mental Health Research Grants) supports research to investigate caregiver perception of infant cries as an early marker of autism spectrum disorder (ASD). The key objectives are to: 1) replicate and extend prior findings on the association between caregiver cry perception and ASD outcomes, and 2) analyze longitudinal daylong recordings to assess the development of social contingency in...
This $1,309,500 Project Grant awarded by the National Institutes of Health (NIH) under the Trans-NIH Research Support (CFDA 93.310) program supports the development of a novel digital psychiatry diagnostic framework that utilizes crowdsourcing algorithms to improve the specificity of machine learning models in distinguishing between autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in adolescents. The key products and services to be delivered under this 3-year...
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...
The National Science Foundation (NSF) awarded a $614,957 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Trustees of the University of Pennsylvania (Clinical Practices of the University of Pennsylvania) to design, develop, and test an objective, reproducible, and scalable multimodal system for observing and quantitatively assessing motor imitation performance in children with autism spectrum disorder (ASD). The key products and services to be...