Vis enkel innførsel

dc.contributor.authorSquazzoni, Flaminio
dc.contributor.authorPolhill, J. Gareth
dc.contributor.authorEdmonds, Bruce
dc.contributor.authorAhrweiler, Petra
dc.contributor.authorAntosz, Patrycja
dc.contributor.authorScholz, Geeske
dc.contributor.authorChappin, Émile
dc.contributor.authorBorit, Melania
dc.contributor.authorVerhagen, Harko
dc.contributor.authorGiardini, Francesca
dc.contributor.authorGilbert, Nigel
dc.date.accessioned2020-08-19T14:08:51Z
dc.date.available2020-08-19T14:08:51Z
dc.date.issued2020-03-31
dc.description.abstractThe COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers’ demands for advice despite the absence of adequate, trusted data. Understanding the pandemic requires fine-grained data representing specific local conditions and the social reactions of individuals. While experts have built simulation models to estimate disease trajectories that may be enough to guide decision-makers to formulate policy measures to limit the epidemic, they do not cover the full behavioural and social complexity of societies under pandemic crisis. Modelling that has such a large potential impact upon people’s lives is a great responsibility. This paper calls on the scientific community to improve the transparency, access, and rigour of their models. It also calls on stakeholders to improve the rapidity with which data from trusted sources are released to the community (in a fully responsible manner). Responding to the pandemic is a stress test of our collaborative capacity and the social/economic value of research.en_US
dc.identifier.citationSquazzoni F, Polhill, Edmonds, Ahrweiler P, Antosz, Scholz, Chappin, Borit M, Verhagen H, Giardini, Gilbert N. Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action. JASSS : Journal of Artificial Societies and Social Simulation. 2020;23(2)en_US
dc.identifier.cristinIDFRIDAID 1819952
dc.identifier.doi10.18564/jasss.4298
dc.identifier.issn1460-7425
dc.identifier.urihttps://hdl.handle.net/10037/19057
dc.language.isoengen_US
dc.publisherSimSoc Consortiumen_US
dc.relation.journalJASSS : Journal of Artificial Societies and Social Simulation
dc.relation.urihttp://jasss.soc.surrey.ac.uk/23/2/10.html
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Social science: 200en_US
dc.subjectVDP::Samfunnsvitenskap: 200en_US
dc.titleComputational Models That Matter During a Global Pandemic Outbreak: A Call to Actionen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel