Project Grant 2442593
Award Date
7/1/25
Completion Date
6/30/30
Dollars Obligated
$393K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Boston, MA 02115, USA
Similar Awards
This four-year $686,879 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of novel closed-loop behavioral health interventions delivered through wearable and Internet of Things devices. Specifically, the researchers at Cornell University will create three types of wearable and IoT systems using different sensory modalities like vibration, airflow, and touch to provide just-in-time interventions...
This $412,423 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of novel closed-loop behavioral health interventions at the University of Chicago from September 2022 through July 2026. The university researchers will create three types of wearable and Internet of Things systems delivering sensory interventions for mental health issues like substance cravings, workplace stress, and social stress. The...
This Project Grant award of $1,183,690 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, San Francisco (UCSF) to develop personalized machine learning models that can predict repeat adverse health events, such as substance use and stress-related hypertension, using data from consumer wearable devices like Fitbit and Apple Watch. The key innovation of this project is the use...
This $302,293 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to improve self-experimentation technology to help individuals better manage their health and wellbeing. The project seeks to develop a new theory and design patterns to address known challenges in self-experimentation, such as experiment selection, data robustness, and personalized communication of findings. The research will...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $238,884 to the University of South Florida (USF) aims to assess the efficacy of digital health technologies in low-resource settings. The study will examine how digital health services affect communication and treatment experiences between patients and healthcare providers in a low-resourced, predominantly rural area. Research methods include in-depth interviews and behavioral...
The National Science Foundation (NSF) awarded a $1,199,083 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University (CMU) to develop an AI-driven intervention system that uses multimodal sensing from a smartwatch to guide post-operative patients through recovery procedures. The system aims to help patients manage their recovery, including maintaining appropriate activity levels, pain management, and wound care, through...
This $276,000 National Science Foundation Technology, Innovation, and Partnerships grant funds the development of a personalized consumer health guidance platform by Rift Valley Health Co. The platform will analyze an individual's sleep, exercise, nutrition, and mental health data from wearables and smart home devices to generate a baseline health profile and recommendations. Both objective biometric data and subjective user inputs will be integrated to draw meaningful correlations and develop a...
Lifespan Digital Health LLC was awarded a $255,409 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop bio-behavioral technology and provide mental health services. Specifically, the company will use predictive algorithms, wearable technology, and peripheral autonomic biofeedback to provide timely data and enable mental health professionals to treat students. This innovative approach aims to address the...
This National Science Foundation award of $247,721 provides funding under the Computer and Information Science and Engineering program (CFDA 47.070) to Arizona State University for a project titled "CAREER: Autonomous Wearable Computing for Personalized Healthcare." The project aims to develop foundations for computational autonomy in wearable-based health monitoring and interventions. Specifically, the university will investigate methods for automatically and autonomously labeling...
This is a Project Grant awarded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The $299,708 grant, with a period of performance from August 15, 2023 to July 31, 2027, supports collaborative research to develop AI-driven radio frequency identification (RFID) sensing techniques for smart health monitoring applications. The research aims to create more affordable, comfortable,...