Show simple item record

dc.contributor.authorBell, J
dc.contributor.authorBianconi, G
dc.contributor.authorButler, D
dc.contributor.authorCrowcroft, J
dc.contributor.authorDavies, PCW
dc.contributor.authorHicks, C
dc.contributor.authorKim, H
dc.contributor.authorKiss, IZ
dc.contributor.authorLauro, FD
dc.contributor.authorMaple, C
dc.contributor.authorPaul, A
dc.contributor.authorProkopenko, M
dc.contributor.authorTee, P
dc.contributor.authorWalker, SI
dc.date.accessioned2020-12-10T11:14:38Z
dc.date.available2020-11-18
dc.date.available2020-12-10T11:14:38Z
dc.date.issued2020
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/69238
dc.descriptionAyan Paul references preprints (DESY 20-142, HU-EP-20/23)en_US
dc.description.abstractOn May $28^{th}$ and $29^{th}$, 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.en_US
dc.publisherIOP Publishersen_US
dc.relation.ispartofJournal of Physics: Complexity
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectphysics.soc-phen_US
dc.subjectphysics.soc-phen_US
dc.titleBeyond COVID-19: Network science and sustainable exit strategiesen_US
dc.typeArticleen_US
dc.rights.holder© 2020 The Author(s). Published by IOP Publishing Ltd
pubs.author-urlhttp://arxiv.org/abs/2009.12968v2en_US
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2020-11-18
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's license is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.