Project Grant 2406440
Award Date
9/1/24
Completion Date
8/31/28
Dollars Obligated
$520K
Funding Federal Agency
Division of Computer and Network Systems
Awarding Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Toledo, OH 43614, USA
Similar Awards
This $659,809 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a novel system to identify cognitive and affective states, behavioral patterns, and contextual factors contributing to medical errors. The research team at Virginia Polytechnic Institute & State University (Virginia Tech) will implement multi-modal machine-learning algorithms leveraging data from...
This $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research into the "Impact of Artificial Intelligence Aids on Clinical Skill Acquisition, Atrophy and Adaptation" from October 2021 through September 2025. The award is made under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in these fields as well as monitoring science...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research at The Ohio State University to develop theoretical and algorithmic foundations for building a safe and reliable human-AI ecosystem. The key objectives are to: 1) create an analytical framework to characterize human-AI interactions and safety components, 2) examine feedback effects between agents and the...
This $351,750 National Science Foundation project grant under the Computer and Information Science and Engineering program (CFDA 47.070) supports research at the University of Cincinnati to guide the future design of affect-aware cyber-human systems. The two-year award beginning October 1, 2021 will fund an investigation of human reactions to machine errors to advance the development of these systems. A $25,000 subaward to the University of Wyoming will support related work exploring the effects...
This Project Grant award of $304,929.00 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of new artificial intelligence (AI) models that utilize causal understanding and reasoning. The project aims to create a methodology for developing AI models that can provide reliable, traceable, and human-comprehensible analytics and decision-making for healthcare applications. The goal is to overcome the limitations of...
The National Science Foundation (NSF) awarded a $200,000 Project Grant through the Computer and Information Science and Engineering program (CFDA 47.070) to the University of South Carolina. This two-year grant supports research to develop safety-constrained virtual health assistants (VHAs) that leverage knowledge graphs to integrate clinical protocols and practice guidelines. The goal is to enable VHAs to provide accurate, safe, and transparent healthcare support while fostering improved...
This $249,250 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an AI coaching system to enhance surgical teamwork in cardiac operating rooms. Over four years, researchers at the Massachusetts Institute of Technology will design multimodal hardware and algorithms to model, monitor, and generate interpretable feedback on teamwork dynamics using data from cardiac procedures. The goal is to mitigate human...
This $1,183,690 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to The Regents of the University of California, San Francisco (UCSF) supports the development of personalized artificial intelligence (AI) models that can predict recurring 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...
The National Science Foundation Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the Massachusetts Institute of Technology from September 1, 2022 to August 31, 2026 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of machine learning-driven user interfaces and contextual displays to help clinicians synthesize information from patient medical records. Researchers will create a novel...
The National Science Foundation awarded a $598,676 project grant to Beth Israel Deaconess Medical Center, Inc. to develop machine learning-driven user interfaces for medical record information gathering and synthesis under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award period is from September 1, 2022 to August 31, 2026. The project will advance the foundations of human-AI interaction and artificial intelligence for healthcare by developing...