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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

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

Fahim Tasneema Azad

Jul 3

Written By K. Selcuk Candan

Computer Science PhD Student at Arizona State University

K. Selcuk Candan

Classification Table Overview

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