Agent-based modeling and simulation in pandemic management
Abstract: Mathematical models and computer simulations play a crucial role in the context of the COVID-19 crisis for knowledge about the possible course of the pandemic and for appropriate policy decisions. The paper presents results from an ethnographic study of a government-funded R & D project dealing with agent-based modeling and simulation (ABMS) in the context of pandemic management. Based on the assumption that the use of computer simulations in pandemic management is not only a means to an end for political or epidemiological goals but also plays a significant role in determining which goals and strategies appear politically legitimate, the paper reconstructs how insights into the pandemic are generated in ABMS and specifically in the researched project and made accessible for decision-making. https://www.tatup.de/index.php/tatup/article/view/7038
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Agent-based modeling and simulation in pandemic management ; volume:32 ; number:1 ; year:2023
Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis ; 32, Heft 1 (2023)
- Urheber
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Hälterlein, Jens
- DOI
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10.14512/tatup.32.1.30
- URN
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urn:nbn:de:101:1-2023041118443891617226
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:58 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Hälterlein, Jens