Cooperative Agreement D17AC00009

This $223,001 National Science Foundation project grant supports research to develop novel predictive models of epidemic spread dynamics and validate those models against COVID-19 data. The award is made under the NSF Engineering program (CFDA 47.041) to support fundamental engineering research. Specifically, researchers at the University of Cincinnati will work collaboratively to: develop new predictive dynamic models based on partial differential equations; study the interaction of...

Trustees of Boston University was awarded a three-year, $352,394 National Science Foundation Project Grant under the Engineering (47.041) federal grant program to develop computationally efficient methods for controlling epidemics on networks. Through this funding, Boston University researchers will design optimal, spatially heterogeneous intervention strategies to mitigate epidemics, such as COVID-19, while minimizing societal hardship. The researchers will develop models to determine the...

This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems will fund $123,946 for research into understanding and mitigating bias in artificial intelligence models for predicting infectious disease spread. The award is part of the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Specifically,...

This $201,299 National Science Foundation project grant supports research to develop novel predictive models of epidemic spread dynamics and validate those models using COVID-19 data. The funding will be used to conduct fundamental research advancing the scientific understanding of how uncertainties in human behavior and pathogen characteristics influence spatial and temporal stochastic epidemic dynamics. Specific aims of the research include developing new predictive dynamic models based on...

The National Science Foundation (NSF) Engineering Program (CFDA 47.041) awarded a $456,193 Project Grant to the University of California, Berkeley to develop intelligent decision-making systems for personalizing plasma dose delivery in point-of-care plasma biomedical devices. The 3-year project, titled "ECLIPSE: Adaptable Model Predictive Control on a Chip for Personalized and Point-of-Care Plasma Medicine," aims to leverage advances in machine learning and optimization-based control...

This $1 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities supports research at Oregon State University under the NSF Engineering program (CFDA 47.041). The two-year award will fund the establishment of a Pandemic Predictive Intelligence and Policy Center to develop feedback loops between predictive modeling and adaptive response strategies that can attenuate pandemic transmission in urban environments. Key deliverables...

This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $373,667 to Emory University for research on understanding and mitigating bias in artificial intelligence models for infectious disease spread prediction. Over a three-year period from April 2023 through March 2026, the grantee will develop an AI system to predict the spatial and temporal spread of...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $150,000 to the University of Illinois to develop proactive solutions for public health protection against airborne diseases. The key objectives are: Create an intelligent, automated system for real-time, multiplex monitoring of critical airborne pathogens, including the ability to obtain time-resolved measurements of infectious aerosols...

This $1,999,688 National Science Foundation Project Grant supports the development of predictive intelligence for pandemic prevention through transdisciplinary innovation. Funded by NSF's Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to the University of California, Davis enables advancement of predictive capabilities for forecasting pandemic risk through three key research areas. First, the team will characterize environmental conditions and human...

The National Science Foundation (NSF) Directorate for Engineering awarded a $1,999,999 Project Grant under the CFDA 47.041 Engineering program to Virginia Polytechnic Institute & State University (Virginia Tech) on October 15, 2023. The objective of this 4-year project is to develop a biosensing platform that uses engineered living materials to continuously monitor for the presence of various airborne pathogens, including those that could be used as bioterrorism agents. The technology,...