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Agent-based social simulations for health crises response: utilising the everyday digital health perspective
Malmö University, Faculty of Culture and Society (KS), Department of Global Political Studies (GPS).ORCID iD: 0000-0001-9489-1681
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-8209-0921
2024 (English)In: Frontiers In Public Health, ISSN 2296-2565, Vol. 11, p. 1-6, article id 1337151Article in journal (Refereed) Published
Abstract [en]

There is increasing recognition of the role that artificial intelligence (AI) systems can play in managing health crises. One such approach, which allows for analysing the potential consequences of different policy interventions is agent-based social simulations (ABSS). Here, the actions and interactions of autonomous agents are modelled to generate virtual societies that can serve as a “testbed” for investigating and comparing different interventions and scenarios. This piece focuses on two key challenges of ABSS in collaborative policy interventions during the COVID-19 pandemic. These were defining valuable scenarios to simulate and the availability of appropriate data. This paper posits that drawing on the research on the “everyday” digital health perspective in designing ABSS before or during health crises, can overcome aspects of these challenges. The focus on digital health interventions reflects a rapid shift in the adoption of such technologies during and after the COVID-19 pandemic, and the new challenges this poses for policy makers. It is argued that by accounting for the everyday digital health in modelling, ABSS would be a more powerful tool in future health crisis management.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2024. Vol. 11, p. 1-6, article id 1337151
Keywords [en]
agent-based social simulations, health policy, crisis, COVID-19, everyday digital health, artificial intelligence
National Category
Public Health, Global Health, Social Medicine and Epidemiology Computer Sciences
Research subject
Health and society
Identifiers
URN: urn:nbn:se:mau:diva-65091DOI: 10.3389/fpubh.2023.1337151ISI: 001152256900001PubMedID: 38298258Scopus ID: 2-s2.0-85183829987OAI: oai:DiVA.org:mau-65091DiVA, id: diva2:1829043
Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2024-02-27Bibliographically approved

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Tucker, JasonLorig, Fabian

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Department of Global Political Studies (GPS)Department of Computer Science and Media Technology (DVMT)Internet of Things and People (IOTAP)
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Frontiers In Public Health
Public Health, Global Health, Social Medicine and EpidemiologyComputer Sciences

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