Project Grant 2531023
- This $200,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of California, Berkeley to develop group testing methods for infectious disease monitoring and mitigation. Specifically, the grant supports the creation of specialized machine learning, combinatorial, and information-theoretic techniques to (1) identify low-mutation genomic regions for polymerase chain reaction (PCR) primers, (2) model...
- This $968,765 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) will develop a flexible modeling framework to simulate the impact of various testing-based infection control strategies for respiratory pathogens like SARS-CoV-2. The project aims to improve our ability to control existing respiratory diseases and enhance preparedness for future pandemics. Key deliverables include: Developing a...
- 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 models...
- This Project Grant award from the National Science Foundation Division of Information and Intelligent Systems provides $200,000 to the University of Virginia for modeling and analytics to support COVID-19 outbreak response efforts in India. The award period is from October 1, 2021 to June 30, 2022. Under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), the University of Virginia will collaborate with Princeton University and the Center for 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...
- The National Science Foundation awarded a $393,222 Project Grant to the University of California, Los Angeles under the Engineering federal grant program (CFDA 47.041) on September 15, 2022. The funding will support development of a deep learning-based serological test for point-of-care analysis of COVID-19 immunity using a paper-based multiplexed sensor. Specifically, the university researchers will create a multiplexed vertical flow assay and trained inference network to simultaneously...
- The National Science Foundation (NSF) awarded a $331,189 Project Grant under its Technology, Innovation, and Partnerships (CFDA 47.084) program to the University of Central Florida Board of Trustees. The 4-year grant, effective April 1, 2025, is focused on developing an affordable, portable platform for rapid virus detection. The innovation combines protein engineering to create stable enzymes for isothermal virus amplification, with electrochemical biosensors and microfluidics, enabling virus...
- The National Science Foundation awarded a $220,000 Project Grant to the University of Connecticut under the Engineering (47.041) federal grant program. The award will fund development of a compact, field-portable biophotonics instrument for automated analysis and identification of blood cells impacted by COVID-19. The instrument aims to provide real-time sensing and diagnosis capabilities with high accuracy, specificity and sensitivity for potential early detection of COVID-19 infections. It...
- 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...
- The National Science Foundation awarded Virginia Polytechnic Institute and State University a $1,000,000 Project Grant under the Biological Sciences federal grant program (CFDA 47.074) to develop predictive models and community engagement strategies to prevent future pandemics. Over an 18-month period ending January 2024, the university will utilize computational and experimental methods to analyze animal virus genomes to predict their potential to infect humans, identify drug repurposing...
The National Science Foundation (NSF) awarded a $251,493 Project Grant under the Engineering program (CFDA 47.041) to the Rector & Visitors of the University of Virginia (UVA) to develop optimized pooled testing strategies for efficient prevalence tracking and accurate infection diagnosis during pandemics. The key products and services to be delivered under this grant include: This grant aims to address limitations of traditional group testing methods by developing advanced pooled testing approaches that can significantly reduce the total number of tests required while providing quantitative viral load information, accounting for practical constraints such as test sensitivity and dilution effects. The research will leverage UVA's expertise in areas like data science, engineering, and public health to advance pandemic testing capabilities.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $251.5k | 5/15/25 |