Project Grant 2151374
- The National Science Foundation awarded the University of Illinois a $100,000 project grant under the NSF Technology, Innovation, and Partnerships program to develop an aerial virus detector system. The university will use the one-year award ending June 2023 to create a portable device that can directly detect airborne COVID-19 and other viral particles. The proposed technology integrates a COVID-reactive surface with a sensitive detection mechanism to identify the presence of a virus particle...
- Intelligent Medicine Inc. received a $275,842 National Science Foundation Project Grant to develop a cloud-based simulation platform for modeling airborne infectious disease spread. Funded through NSF's Technology, Innovation, and Partnerships program (CFDA 47.084), the project advances a hybrid computational approach utilizing multi-scale fluid analysis to enable faster-than-real-time simulation of viral particle dispersion and surface contamination in indoor environments. This will allow...
- 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 $788,406 project grant from the National Institutes of Health National Institute of Allergy and Infectious Diseases, under the Allergy and Infectious Diseases Research program (CFDA 93.855), will fund the development of a sensitive, direct reading bioaerosol detection platform to quantify airborne pathogens such as SARS-CoV-2. Aerosol Devices Inc. will integrate their gentle condensation-growth capture sampler, which concentrates intact, viable virus particles into a small liquid volume...
- 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...
- This $200,000 Project Grant from the National Science Foundation Division of Environmental Biology supports research investigating the uptake, persistence, and impact of behavioral interventions on respiratory viruses. Funded under the Biological Sciences program (CFDA 47.074), the Pennsylvania State University will model the dynamics of COVID-19 and influenza transmission considering behavioral changes mandated by public health interventions as well as voluntary individual behaviors....
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $200,000 to Oklahoma State University to develop advanced computational models and artificial intelligence tools to mitigate the spread of airborne viruses like SARS-CoV-2 in school classrooms. The key objectives are to: (1) Determine the distribution of virus-laden aerosols in classrooms using a model combining computational fluid dynamics and host cell dynamics to generate...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $213,727 Project Grant to the Rochester Institute of Technology (RIT) to research the mechanics of respiratory particle production in the larynx during phonation and its implications for airborne disease transmission, particularly in light of the COVID-19 pandemic. The project aims to elucidate the underlying mechanisms of aerosolized particle generation during speech and how variations in the biomechanical...
- This $175,000 Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will develop new computational models and forecasting approaches to predict the incidence and severity of respiratory illnesses like COVID-19, influenza, and RSV for the 2024-2025 season. The project aims to combine computational modeling with human judgment to improve the accuracy and responsiveness of public health forecasting on a national scale. It will deliver weekly...
- This $247,457 National Science Foundation project grant funded research on coupling COVID-19 respiratory droplet adsorption and photocatalysis through metal organic frameworks. The grant was awarded to Framergy Inc. on June 15, 2021 under the Engineering (47.041) federal grant program. The objective was to develop materials and techniques to capture and deactivate SARS-CoV-2 virus particles through the end date of November 30, 2021. The Engineering program seeks to improve quality of life and...
This $255,870 National Science Foundation Technology, Innovation, and Partnerships grant to Strivision LLC supports the development of an airborne contagion mapping platform through visual exhale monitoring. The goal is to create a method for monitoring and evaluating exposure risks from airborne viral contaminants such as COVID-19 to reduce public health risks from respiratory disease transmission. Strivision will advance understanding of how airborne contagions spread within indoor spaces by visualizing exhalations and developing an anonymized vision-based network. This provides an effective data-driven method for modeling and analyzing how respiratory behaviors contribute to viral transmission in real-world workspaces. The platform aims to identify effective mitigation strategies to reduce communicable disease costs and provide real-time analysis and AI-driven feedback on exhaled contagion risks in populated indoor spaces such as educational settings. This NSF SBIR Phase I project addresses the open problem of quantitatively evaluating transmission risks associated with airborne viral contaminants as spread through respiratory behaviors within real-world work environments.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $255.9k | 8/31/22 |