This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $430,826 to the New York Institute of Technology aims to develop a quantitative sensing system to evaluate fine motor skills in autistic children. The project will create a low-cost wearable glove and interactive game to objectively measure hand motions and fine motor abilities like grasping and holding a pencil. This technology will provide an alternative to subjective clinical assessments, enabling more...
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 National Science Foundation (NSF) Project Grant, awarded under the NSF Engineering (CFDA 47.041) program, aims to develop the mathematical foundations for a digital twin (DT) system to enhance healthcare for individuals with autism spectrum disorder (ASD). The project, totaling $200,000 and running from January 1, 2025 to December 31, 2027, will create a unified system that integrates clinical and neurodevelopmental data, enabling personalized predictions, treatment recommendations, and...
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...
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 $614,957 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an objective, scalable, and reproducible multimodal system to assess motor imitation performance in children with autism spectrum disorder (ASD). The key goals of the project are to: 1) design motor imitation tasks relevant for ASD assessment, 2) develop a flexible system to collect and label multimodal data of...
The National Science Foundation (NSF) awarded a $149,996 Project Grant under the STEM Education (formerly Education and Human Resources) (CFDA 47.076) program to the University of Alabama Office for Sponsored Programs Division. The purpose of this project is to establish a partnership between the university and the local community organization Arts N' Autism to develop and deliver informal computer science learning opportunities, specifically focused on robotics and coding, for children and...
This federal Project Grant award of $400,000.00 by the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) aims to establish best practices in supporting a neurodivergent engineering workforce during their postsecondary education and early training. The University of Arizona, the award recipient, plans to recruit and coach engineering students with autism spectrum disorder (ASD) on pre-employment and professional skills, while also providing training and support to...
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...
This $200,000 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop the mathematical and statistical foundations for a Digital Twin (DT) system to enhance care and support for individuals with Autism Spectrum Disorder (ASD). The project, led by George Mason University, will create a unified DT system that integrates clinical and neurodevelopmental data to enable individualized models,...