Project Grant 2401748
- Federal Grant Award Summary The National Science Foundation (NSF) awarded Stanford University a $1,025,097 project grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on August 15, 2025, with completion targeted for July 31, 2028. This award supports the development of advanced artificial intelligence (AI) and deep learning models designed to enable early detection of Autism Spectrum Disorder (ASD) in children under six years old through automated...
- 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...
- The National Science Foundation Division of Computer and Network Systems awarded a $293,110 two-year Project Grant to The Research Foundation For The State University Of New York to support the "BUILDING ECOSYSTEMS OF BELONGING FOR NEURODIVERSE COMPUTER SCIENCE STUDENTS" program. Under this award, The Research Foundation For The State University Of New York will deliver services and programs through September 30, 2023 aimed at building inclusive communities for neurodiverse computer...
- 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...
- The National Science Foundation (NSF) awarded a $593,662 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Maryland, College Park. The grant supports the development of an asynchronous distributed machine learning framework for collaborative analysis of brain imaging and genomics big data across multiple research sites. Key objectives include: 1) designing new asynchronous distributed algorithms for genome-wide association studies and...
- Federal Grant Award Summary The National Science Foundation's Division of Integrative Organismal Systems awarded $580,000 to The Research Foundation for the State University of New York (RF SUNY) under the Biological Sciences program (CFDA 47.074) on August 1, 2025, for a collaborative research project extending through July 31, 2029. The award supports fundamental neuroscience research investigating how vasopressin—a neurochemical present across multiple animal species—regulates social behavior...
- 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...
- 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 National Science Foundation project grant of $379,901 provides funding from October 2021 through March 2024 to develop a computational framework for analyzing individual and group behaviors and social interactions in face-to-face meetings. Funded under the Computer and Information Science and Engineering program, the award supports research at the State University of New York at Buffalo to apply machine learning and social dynamics modeling to video data capturing students collaborating...
- 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...
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 (fMRI, EEG, MEG) to extract ASD-relevant biomarkers using deep learning and explainable AI techniques. This data-driven approach seeks to improve understanding of the neural underpinnings of ASD and develop better diagnostic tools. The award period is from October 1, 2023 to November 30, 2024. No sub-awards are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $319.6k | 11/28/23 |