Skip to Content

Partner Networks

PIPP Phase I: Predicting Emergence in Multidisciplinary Pandemic Tipping-points (PREEMPT)

PIPP Phase I: Computational Foundations for Bio-social Modeling of Unseen Pandemics

EVO Games Plus International Training Network

Partner Networks

PIPP Phase I: Predicting Emergence in Multidisciplinary Pandemic Tipping-points (PREEMPT)

PIPP Phase I: Computational Foundations for Bio-social Modeling of Unseen Pandemics

EVO Games Plus International Training Network

Folder: Partner Networks

PIPP Phase I: Predicting Emergence in Multidisciplinary Pandemic Tipping-points (PREEMPT)

PIPP Phase I: Computational Foundations for Bio-social Modeling of Unseen Pandemics

EVO Games Plus International Training Network

Folder: Publications

Shubhodeep Mitra

Jan 1

Written By K. Selcuk Candan

K. Selcuk Candan

Javier Anton Redondo

Robert Dodge

Center for Assured and Scalable Data Engineering (CASCADE) @ Arizona State University, USA

School of Public Health @ Georgia State University, USA

Kyoto University, Japan

University of Nagasaki, Japan

The PanCommunity project is funded by

NSF CNS#2125246SCC-IRG JST: PanCommunity: Leveraging Data and Models for Understanding and Improving Community Response in Pandemics
NSF DEB#2026797
RAPID: RTEM: Rapid Testing as Multi-fidelity Data Collection for Epidemic Modeling
NSF CMMI/CDSE#1610282 DataStorm: A Data Enabled System for End-to-End Disaster Planning and Response