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PanCommunity
Home
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
Events
Publications
Articles
Presentations
Posters
Technology
Our Team
Contact Us
Home
Folder: Partner Networks
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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
Events
Folder: Publications
Back
Articles
Presentations
Posters
Technology
Our Team
Contact Us
Fahim Tasneema Azad
K. Selcuk Candan 10/23/23 K. Selcuk Candan 10/23/23

Fahim Tasneema Azad

Computer Science Ph.D. Student at Arizona State University

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Javier Anton Redondo
K. Selcuk Candan 1/31/23 K. Selcuk Candan 1/31/23

Javier Anton Redondo

PhD Student @ University of Turin, Italy

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Shubhodeep Mitra
K. Selcuk Candan 1/1/23 K. Selcuk Candan 1/1/23

Shubhodeep Mitra

MS student @ ASU

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Robert Dodge</span>
K. Selcuk Candan 7/3/20 K. Selcuk Candan 7/3/20

Robert Dodge

Industrial Engineering Undergraduate Student at Arizona State University

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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