Abstract
During the COVID-19 pandemic, a rise of (agent-based) simulation models for predicting future developments and assessing intervention scenarios has been observed. At the same time, dashboarding has become a popular way to aggregate and visualise large quantities of data. The AScore Pandemic Management Cockpit brings together multiagent-based simulation (MABS) and analysis functionalities for crisis managers. It combines the presentation of data and forecasting on the effects of containment measures in a modular, reusable architecture that streamlines the process of use for these non-researcher users. In this paper, the most successful features and concepts for the simplification of simulation usage are presented: definition of scenarios, limitation of parameters, and integrated result visualisation, all bundled in a web-based service to offer a low-barrier entry to the usage of MABS in decision-making processes.
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References
Peeples, L.: Lessons from the COVID data wizards. Nature 603, 564–567 (2022)
Lorig, F., et al.: Agent-based social simulation of the COVID-19 pandemic: a systematic review. JASSS 24(3), 5 (2021)
Alsharhan, A.: Survey of agent-based simulations for modelling COVID-19 pandemic. Adv. Sci. Technol. Eng. Syst. J. 6(2), 439–447 (2021)
Memmel, M., Berndt, J.O., Timm, I.J.: AScore - developing a cockpit for regional pandemic management in Germany with agent-based social simulation. In: REAL CORP 2021, pp. 65–75 (2021)
Liu, C.-H., Huang, Y.-M.: An empirical investigation of computer simulation technology acceptance to explore the factors that affect user intention. Univ. Access Inf. Soc. 14(3), 449–457 (2015). https://doi.org/10.1007/s10209-015-0402-7
Meechang, K., et al.: The acceptance of using information technology for disaster risk management: a systematic review. Eng. J. 24(4), 111–132 (2020)
An, L., Grimm, V., Turner, I.I., Billie, L.: Editorial: meeting grand challenges in agent-based models. JASSS 23(1), 13 (2020)
CKAN - The Open Source Data Management System. https://ckan.org/
Elasticsearch: the official engine for distributed search and analytics. www.elastic.co/de/elasticsearch/
hetida-designer. https://github.com/hetida/hetida-designer
Tapp, L., Kurchyna, V., Berndt, J.O., Timm, I.J.: School’s out? Simulating schooling strategies during COVID-19. In: MABS@AAMAS 2022 (2022)
Acknowledgements:
The AScore project was funded by the German Federal Ministry of Education and Research (BMBF) under grant number 13N15663.
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Schewerda, A., Kurchyna, V., Berndt, J.O., Timm, I.J. (2022). From Research to Crisis Management: Multiagent Simulation for Local Governments. In: Dignum, F., Mathieu, P., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection. PAAMS 2022. Lecture Notes in Computer Science(), vol 13616. Springer, Cham. https://doi.org/10.1007/978-3-031-18192-4_45
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DOI: https://doi.org/10.1007/978-3-031-18192-4_45
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