Beyond COVID-19: Network science and sustainable exit strategies
dc.contributor.author | Bell, J | |
dc.contributor.author | Bianconi, G | |
dc.contributor.author | Butler, D | |
dc.contributor.author | Crowcroft, J | |
dc.contributor.author | Davies, PCW | |
dc.contributor.author | Hicks, C | |
dc.contributor.author | Kim, H | |
dc.contributor.author | Kiss, IZ | |
dc.contributor.author | Lauro, FD | |
dc.contributor.author | Maple, C | |
dc.contributor.author | Paul, A | |
dc.contributor.author | Prokopenko, M | |
dc.contributor.author | Tee, P | |
dc.contributor.author | Walker, SI | |
dc.date.accessioned | 2020-12-10T11:14:38Z | |
dc.date.available | 2020-11-18 | |
dc.date.available | 2020-12-10T11:14:38Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/69238 | |
dc.description | Ayan Paul references preprints (DESY 20-142, HU-EP-20/23) | en_US |
dc.description.abstract | On 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.publisher | IOP Publishers | en_US |
dc.relation.ispartof | Journal of Physics: Complexity | |
dc.rights | 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. | |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | physics.soc-ph | en_US |
dc.subject | physics.soc-ph | en_US |
dc.title | Beyond COVID-19: Network science and sustainable exit strategies | en_US |
dc.type | Article | en_US |
dc.rights.holder | © 2020 The Author(s). Published by IOP Publishing Ltd | |
pubs.author-url | http://arxiv.org/abs/2009.12968v2 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Accepted | en_US |
dcterms.dateAccepted | 2020-11-18 | |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Mathematics [1468]
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.