PIPP Phase I: BEHIVE - BEHavioral Interaction and Viral Evolution for Pandemic Prevention — NSF Award to Georgia Tech Research Cor
The COVID-19 pandemic has highlighted human vulnerability to infectious disease outbreaks and reinforced the need for improved data-driven response and preparedness. The BEHIVE (BEHavioral Interaction and Viral Evolution) research team for Predictive Intelligence for Pandemic Prevention (PIPP) aims to tackle a fundamen
| Award title | PIPP Phase I: BEHIVE - BEHavioral Interaction and Viral Evolution for Pandemic Prevention |
|---|---|
| Award ID | 2200269 |
| Awardee | Georgia Tech Research Corporation |
| City | ATLANTA |
| State | GA |
| Amount obligated | $1,000,000 |
| Principal investigator | B Aditya Prakash |
| Program | PIPP-Pandemic Prevention |
| Start date | 08/01/2022 |
| Abstract | The COVID-19 pandemic has highlighted human vulnerability to infectious disease outbreaks and reinforced the need for improved data-driven response and preparedness. The BEHIVE (BEHavioral Interaction and Viral Evolution) research team for Predictive Intelligence for Pandemic Prevention (PIPP) aims to tackle a fundamental challenge in disease outbreak prevention by integrating the study of human behavior using a computational data-driven lens. The impact of human behavior and social interactions |
| Source | NSF Awards |
$799/mo
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