Project Grant 2521429
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project led by the University of Southern California (USC). The $106,315 award, effective from October 1, 2025 to September 30, 2028, aims to investigate caregiving practices, infant motor skill development, and the use of wearable sensing technologies. The project will leverage artificial intelligence to measure the movement patterns...
- This National Science Foundation (NSF) Federal Grant Award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $299,571 to Michigan State University to develop an innovative wearable sensing system that automatically detects a range of infant behaviors for long durations in the home environment. The objective is to examine the role of pre-walking strategies in the development of walking through precise measurements of activities like standing, cruising, falls,...
- This Project Grant, funded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075), will address two key research questions: (1) whether infants' motor skill acquisitions are related to the specific words they learn, and (2) whether language input that aligns with infants' motor actions facilitates word learning. The $380,398 award, effective August 1, 2024 and running through July 31, 2028, will support the University of Alabama's efforts...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $648,091 to the Research Foundation of the City University of New York (RFCUNY) - College of Staten Island. The project, titled "RUI: How Childrearing Practices Shape Infant Development," examines the impact of a specialized infant cradle practice on motor, cognitive, and social-emotional development in the first two years of life. Researchers...
- 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 Project Grant award from the National Science Foundation's Division of Behavioral and Cognitive Sciences (CFDA 47.075 - Social, Behavioral, and Economic Sciences) provides $410,651 over 3 years to New York University (NYU) to investigate the temporal structure of infant behaviors, including vocalizations, play, and language interactions within home environments. The project aims to describe the unfolding of these behaviors over time, test associations between infant and maternal vocal...
- 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 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 (NSF) awarded a $138,337 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Georgia Research Foundation, Inc. (UGA Research Foundation) to study the temporal structure of infants' everyday behaviors, including language and play interactions in the home environment. The project aims to investigate how the temporal patterns of infant vocalizations, maternal speech, and infant object play relate to the...
- This federal Project Grant award of $425,748, provided by the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports two related studies to advance the understanding of early language development in infants. The first study involves observing parent-infant interactions, with infants wearing eye-tracking devices to determine when speech is interpretable to them. The second study creates and...
This Project Grant award, with a total funding of $423,915, was provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The project aims to use new wearable sensor technologies and artificial intelligence to study the patterns of infant movement and motor skill development in the home environment over time. The key objectives are to: (1) measure the amount and types of movement that 7-month-old infants engage in at home during a typical week, (2) examine caregiving practices that give rise to individual differences in opportunities for movement, and (3) predict individual differences in motor development outcomes, including sitting and standing proficiency, at 11 months of age. This research is expected to advance the understanding of motor development and provide useful information for clinicians to promote healthy motor development in infancy. The project will collect and share a large longitudinal dataset of wearable sensor data, enabling further advances in both understanding motor development trajectories and developing artificial intelligence methods for robust identification of human movement.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $423.9k | 8/7/25 |