Malmö University Publications
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Blueprinting Organ Donation: A ‘Policy-first’Approach for Developing Agent-based Models
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: 0009-0004-1712-5181
Department of Computer Science, Norwegian University of Science and Technology.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0009-0000-2551-2692
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)Conference paper, Published paper (Refereed)
Abstract [en]

Agent-based models have long been argued a useful toolto support policy analysis, variably targeting the assessment of policydesign, as well as establishing its performance. Challenging, however,remains appropriate empirical parameterization and validation of suchmodels. This paper contributes to the development of rigorous accountsof policy modelling primarily driven by policy documents in order to develop general conceptual model. Such models can then serve as a basis forearly validation by subject matter experts, but more importantly, informthe subsequent inquiry relevant for the parameterization of such models, while at the same time offering the opportunity to detect deviationsfrom regulated practice. Relying on the scenario of organ donation basedon the Swedish legislation, we explore the merits of such an approach,and sketch the individual steps from policy documents to conceptualmodel. Supporting the methodological process, this paper employs theInstitutional Grammar 2.0, which offers selected features supporting theproposed modelling approach.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Agent-based Social Simulation, ABMS, Formulation, Conceptualization, Policy Model, Policy Analysis
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-71386OAI: oai:DiVA.org:mau-71386DiVA, id: diva2:1901164
Conference
The 19th annual Social Simulation Conference (SSC 2024) (SSC 2024). Kraków, Poland, Sep 16-20, 2024
Available from: 2024-09-26 Created: 2024-09-26 Last updated: 2024-09-26Bibliographically approved

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https://ssc2024.uek.krakow.pl/

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Belfrage, MichaelFabris, BertillaLorig, Fabian

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3940414243444542 of 239
CiteExportLink to record
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  • apa
  • ieee
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Language
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  • Other locale
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Output format
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