Publikationer från Malmö universitet
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Introduction
Department of Computing Science, Umeå University, SE-901 87, Umeå, Sweden.
Department of Computing Science, Umeå University, SE-901 87, Umeå, Sweden; GREYC, Université de Caen, 14000, Caen, France.
Department of Computing Science, Umeå University, SE-901 87, Umeå, Sweden.
Department of Computing Science, Umeå University, SE-901 87, Umeå, Sweden.
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2021 (Engelska)Ingår i: Social Simulation for a Crisis: Results and Lessons from Simulating the COVID-19 Crisis / [ed] Frank Dignum, Cham: Springer, 2021, s. 3-13Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

The introduction of this book sets the stage of performing social simulations in a crisis. The contents of the book are based on the experience of creating a large scale and complex social simulation for the Covid-19 crisis. However, the contents are reaching much further than just this experience. We will show the general contribution that social simulations based on fundamental social-psychological principles can have in times of crises. In times of big societal changes due to a pandemic or other disaster, these simulations can give handles to support decision makers in their difficult task to act in a very short time with many uncertainties. Besides giving our results, we also will indicate why the results are trustworthy and interesting. Finally we also look what challenges should be picked up to convert the successful project into a sustainable research area.

Ort, förlag, år, upplaga, sidor
Cham: Springer, 2021. s. 3-13
Serie
Computational Social Sciences, ISSN 2509-9574, E-ISSN 2509-9582
Nyckelord [en]
computer simulation, agent-based social simulation, pandemics, Covid-19
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:mau:diva-48244DOI: 10.1007/978-3-030-76397-8_1ISBN: 978-3-030-76396-1 (tryckt)ISBN: 978-3-030-76397-8 (digital)OAI: oai:DiVA.org:mau-48244DiVA, id: diva2:1621458
Forskningsfinansiär
KK-stiftelsenTillgänglig från: 2021-12-19 Skapad: 2021-12-19 Senast uppdaterad: 2023-10-02Bibliografiskt granskad

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Lorig, FabianDavidsson, Paul

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Lorig, FabianDavidsson, Paul
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Institutionen för datavetenskap och medieteknik (DVMT)Internet of Things and People (IOTAP)
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Totalt: 46 träffar
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