Social distancing measures are significantly disrupting people’s daily lives, with impacts felt among individuals and local businesses. Collecting data for such a rapidly evolving and widespread disruption at multiple spatio-temporal resolutions is a challenging task. This Working Group proposes a rapid data collection and analysis effort under a broad, conceptual, data-driven impact assessment framework that will provide policy-makers immediate and high-fidelity insights.
Samiul Hasan, University of Central Florida
Email: samiul.hasan@ucf.edu
Daniel Aldrich, Northeastern University
Manuel Cebrian, Max Planck Institute for Human Development, Germany
Zhijie (Sasha) Dong, Texas State University
Naveen Eluru, University of Central Florida
Christopher Emrich, University of Central Florida
Andrew Foster, Disaster Tech
Yue Ge, University of Central Florida
Marie Gedeon, Independent Researcher
Sean Griffin, Disaster Tech
Zhaomiao Guo, University of Central Florida
Sal Hernandez, Oregon State University
Qian Hu, University of Central Florida
Hadi Meidani, University of Illinois at Urbana-Champaign
Pallab Mojumder, Florida International University
Dana Nottingham, Disaster Tech
Fernando Rivera, University of Central Florida
Kelly Stevens, University of Central Florida
David John Wild, Indiana University
CONVERGE is funded by the National Science Foundation (NSF), Division of Civil, Mechanical, and Manufacturing Innovation, Program on Humans, Disasters, and the Built Environment (Award #1841338). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.