Beyond COVID-19: Network science and sustainable exit strategies

J. Bell, G. Bianconi, D. Butler, J. Crowcroft, P. C.W. Davies, C. Hicks, H. Kim, I. Z. Kiss, F. Di Lauro, C. Maple, A. Paul, M. Prokopenko, P. Tee, S. Walker

Research output: Contribution to journalReview articlepeer-review

Abstract

On May 28th and 29th, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists with an interest in network science and epidemiology to attempt to inform public policy in response to the COVID-19 pandemic. Epidemics are at their core a process that progresses dynamically upon a network, and are a key area of study in network science. In the course of the workshop a wide survey of the state of the subject was conducted. We summarize in this paper a series of perspectives of the subject, and where the authors believe fruitful areas for future research are to be found.

Original languageEnglish (US)
Article number021001
JournalJPhys Complexity
Volume2
Issue number2
DOIs
StatePublished - Jun 2021

Keywords

  • COVID-19
  • Epidemic containment strategy
  • Network epidemiology
  • Network science

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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