Synchronising Wisdom and Implementation: A Formal ODD Approach to Expressing Insights on Bullying
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Original versionXanthopoulou, T. D. (2023). Synchronising Wisdom and Implementation: A Formal ODD Approach to Expressing Insights on Bullying. [Doctoral dissertation]. University of Agder.
The Social Simulation methodology, a mix of traditionally unassociated fields, utilises computer models to describe, understand, predict, and reflect on social phenomena. The model creation process typically requires the integration of knowledge insights from academic and non-academic knowledge holders. To ensure model quality, different processes are established in an effort to verify the alignment of knowledge insights and their implementation in the simulation model by the modelling team. However, due to a lack of technical skills, knowledge holders, who may not fully understand the model code, often perform these verification checks indirectly, for example by evaluating conceptual model descriptions. Initially motivated to create quality models of social conflict, this dissertation approaches the model quality challenge with a Domain Specific Modelling (DSM) approach. The objective was to develop a DSM tool using the Design Methodology, supplemented by a case study to provide first-hand experience with the quality challenge. Based on our project requirements, we selected University bullying as the case study subject. The Design Methodology included the problem exploration, the identification of a DSM solution, the selection of a domain and programming language for the DSM tool, the agile development of the domain language aspects with test models, and a final evaluation using the case study model.
Paper IV and V is excluded from the dissertation until it is published.
Has partsPaper I: Xanthopoulou, T. D., Prinz, A. & Shults, F. L. (2019). Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions. In P. F. i Casas, M.-R. Sancho, & E. Sherratt, (Eds.) System Analysis and Modeling. Languages, Methods, and Tools for Industry 4.0, p. 150–162. Springer International Publishing. Accepted version. Full-text is not available in AURA as a separate file.
Paper II: Xanthopoulou, T. D., Puga-Gonzalez, I., Shults, F. L. & Prinz, A. (2020). Modeling Marginalization: Emergence, Social Physics, and Social Ethics of Bullying. In 2020 Spring Simulation Conference (SpringSim), Fairfax, VA, USA, pp. 1-12. doi: 10.22360/SpringSim.2020.HSAA.005. Accepted version. Full-text is not available in AURA as a separate file.
Paper III: Xanthopoulou, T. D., Prinz, A. and Shults, F. L. (2022). The problem with bullying: Lessons learned from modelling marginalization with diverse stakeholders. In M. Czupryna & B.Kami'nski (Eds.) Advances in Social Simulation, Springer Proceedings in Complexity, p. 289–300. Springer Nature. Published version. Full-text is not available in AURA as a separate file.
Paper VI: Xanthopoulou, T. D. & Prinz, A. (2022). Informal Model vs Formal Model: Human Experience vs Conceptualized Model Descriptions. Submitted Paper. Full-text is not available in AURA as a separate file.
Paper V: Xanthopoulou, T. D., Prinz, A., Puga-Gonzalez, I. & Shults, F. L. (2022). Formal ODD: Exposing Model Physics and Model Context. Submitted Paper. Full-text is not available in AURA as a separate file.
Poster I: Xanthopoulou, T. D. , Prinz, A., Shults, F. L., Puga-Gonzalez, I. & Lund, I. (2019). Social Simulation of University Bullying. Poster presented at the Antibullying Conference 2019, Dublin, Ireland. Published version. Full-text is not available in AURA as a separate file.