PIPP Phase I: Computational Foundations for Bio-social Modeling of Unseen Pandemics — NSF Award to Arizona State University (AZ, $
Pandemics unfold in a social, behavioral, and decision-making context that alters the geospatial patterns of spread, depending on an existing underlying landscape of risk and adaptive behavior. Layering socioeconomic factors into traditional predictive modeling frameworks is not sufficient to understand this complexity
| Award title | PIPP Phase I: Computational Foundations for Bio-social Modeling of Unseen Pandemics |
|---|---|
| Award ID | 2200161 |
| Awardee | Arizona State University |
| City | SCOTTSDALE |
| State | AZ |
| Amount obligated | $897,531 |
| Principal investigator | Pavan Turaga |
| Program | FET-Fndtns of Emerging Tech, EnvE-Environmental Engineering, PIPP-Pandemic Prevention |
| Start date | 09/15/2022 |
| Abstract | Pandemics unfold in a social, behavioral, and decision-making context that alters the geospatial patterns of spread, depending on an existing underlying landscape of risk and adaptive behavior. Layering socioeconomic factors into traditional predictive modeling frameworks is not sufficient to understand this complexity, nor does it account for the dynamics and vicissitudes of human behavior and free-will. Unexpected human behaviors play a major role, as well as broader factors such as vaccine av |
| Source | NSF Awards |
$799/mo
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