This $274,774 National Science Foundation project grant supports research at Penn State University from September 2022 through August 2025 under the NSF Engineering program (CFDA 47.041). The research aims to develop optimized pooled testing strategies for efficiently tracking disease prevalence and accurately diagnosing infections during pandemics. Specifically, the project will design effective sampling and testing algorithms to estimate prevalence under limited testing resource...
This $968,765 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) will develop a flexible modeling framework to simulate the performance of different testing-based policies for controlling the spread of respiratory pathogens, including SARS-CoV-2. The project will characterize infection trajectories and create statistical tools to infer how test results, infectiousness, and behavior relate over the course of an infection. To maximize...
The University of California, San Diego will receive $200,000 under a three-year Project Grant from the National Science Foundation for "COLLABORATIVE RESEARCH: CIF: MEDIUM: GROUP TESTING FOR REAL-TIME POLYMERASE CHAIN REACTIONS: FROM PRIMER SELECTION TO AMPLIFICATION CURVE ANALYSIS." The funding supports research and education activities aligned with the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing and information...
The University of Iowa received a $225,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems to support research on optimized testing strategies for pandemic response from September 1, 2022 to August 31, 2025. The award is part of the NSF Engineering program (CFDA 47.041), which aims to improve quality of life and economic strength through engineering research and education.
Specifically, the University will conduct research in...
The National Science Foundation awarded a $200,000 Project Grant to the University of Michigan for research activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070).
The three-year award, issued on October 1, 2021 and concluding on September 30, 2024, will support the University's collaborative research project titled "CIF: MEDIUM: GROUP TESTING FOR REAL-TIME POLYMERASE CHAIN REACTIONS: FROM PRIMER SELECTION TO AMPLIFICATION CURVE...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Virginia to develop data-driven, multimodal methods for behavior-based epidemiological modeling. The key objectives are to:
Improve techniques for deriving meaningful insights from imperfect, real-world sensor data like mobile phones and search engine logs to capture complex human behaviors in real-time.
Couple agent-based disease...
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...
This $1,344,200 Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 Mathematical and Physical Sciences) funds a research project to develop improved epidemiological models that better represent the complexities of human behavior and social processes in response to infectious disease outbreaks.
The project aims to construct mathematical models that dynamically update to represent how human cognition, social influences, and policy...
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...
This National Science Foundation project grant of $300,000 will fund research at the University of California, Los Angeles to develop scalable Bayesian dimension reduction methods for analyzing massive, dynamic network data related to global viral epidemics. Specifically, the award will support extending Bayesian multidimensional scaling to enable analysis of network data involving millions of observations. Theoretical and methodological work will develop a sparse coupling model and efficient...