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

doi:10.1088/2632-072X/abcbea

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 journal › Review article › peer-review

17 Scopus citations

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 language	English (US)
Article number	021001
Journal	Journal of Physics: Complexity
Volume	2
Issue number	2
DOIs	https://doi.org/10.1088/2632-072X/abcbea
State	Published - 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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10.1088/2632-072X/abcbea

Cite this

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title = "Beyond COVID-19: Network science and sustainable exit strategies",

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.",

keywords = "COVID-19, Epidemic containment strategy, Network epidemiology, Network science",

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

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month = jun,

doi = "10.1088/2632-072X/abcbea",

language = "English (US)",

volume = "2",

journal = "Journal of Physics: Complexity",

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T2 - Network science and sustainable exit strategies

AU - Bell, J.

AU - Bianconi, G.

AU - Butler, D.

AU - Crowcroft, J.

AU - Davies, P. C.W.

AU - Hicks, C.

AU - Kim, H.

AU - Kiss, I. Z.

AU - Di Lauro, F.

AU - Maple, C.

AU - Paul, A.

AU - Prokopenko, M.

AU - Tee, P.

AU - Walker, S.

PY - 2021/6

Y1 - 2021/6

N2 - 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.

AB - 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.

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KW - Epidemic containment strategy

KW - Network epidemiology

KW - Network science

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DO - 10.1088/2632-072X/abcbea

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JF - Journal of Physics: Complexity

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Beyond COVID-19: Network science and sustainable exit strategies

Abstract

Keywords

ASJC Scopus subject areas

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