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...
The National Science Foundation (NSF) awarded a Project Grant of $653,629 to Northeastern University on February 1, 2024 under the Engineering program (CFDA 47.041). The objectives of this 5-year project are to elucidate and optimize the binding affinity between collectins (a class of immune system proteins) and glycans (sugar structures found on pathogens), with the goal of enhancing early detection and response to viral infections like influenza. The research will employ an interdisciplinary...
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...
This Project Grant from the National Science Foundation supports the Center for Mobility Analysis for Pandemic Prevention Strategies (MAPPS) at Brown University. Funded under the NSF Engineering program (CFDA 47.041), the $999,211 award will develop tools and models to analyze human mobility and social interaction data in order to predict and prevent future pandemics. Key deliverables include organizing existing data on mobility and social mixing into a publicly available database, developing...
This $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA #47.070) supports research investigating the "pandemic lifecycle" through three collaborating institutions in North Carolina. Duke University serves as the primary awardee and will lead efforts to establish working groups examining fundamental questions around how infectious diseases spread locally and regionally. A pilot study aims to develop simulation...
The National Science Foundation awarded the University of Maryland, College Park $1,999,074 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the project "PIPP PHASE I: Evaluating the Effectiveness of Messaging and Modeling during Pandemics." The goal of the project is to develop models and tools to help public health officials and policymakers more effectively communicate and respond during future pandemics. Specifically, the university...
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 National Science Foundation project grant award of $1,000,000 supports the establishment of the Center for Ecosystems Data Integration and Pandemic Early Warning Systems in Western New York. Funded under the NSF Engineering Directorate's Predictive Intelligence for Pandemic Prevention Phase I program, the award will support the development of an integrated early warning system to monitor and track emerging pathogens through wastewater surveillance and clinical sampling analysis....
This Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations supports the development of computational tools and frameworks for bio-social modeling of future pandemics through Arizona State University's PIPP PHASE I: Computational Foundations for Bio-Social Modeling of Unseen Pandemics project. Funded under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), the $807,531 award will advance predictive...
The National Science Foundation's Biological Sciences (CFDA 47.074) Federal Grant Program has awarded a $1,487,500 Cooperative Agreement to the University of California, Davis to establish the Center for Insights into the Pre-Emergence Phase of Pandemics (CI3P). This multi-year project aims to develop innovative scientific and technological solutions to detect signals of pathogens circulating in natural reservoirs and provide insights into how pandemic threats emerge. The key objectives include:...