Conferences
Conference tracks organized by BRICSS
Conference tracks organized by BRICSS
September 16th to 20, Cracow University of Economics, Poland
We are happy to announce that we have our special track on simulation Simulating in Crises (SIC) again this year in its second installment at the annual social simulation conference. We have some exciting and interesting publications. The conference program can be found here.
We organize this special track dedicated to develop frames, techniques, and methods for better understanding what is central to the process of producing simulations in crises, validating them and using models and results to reach out to society. This track calls for input from a broad variety of disciplines and sectors (e.g. computer science, sociology, disaster studies, psychology, work organization, stakeholders), including inter- and trans-disciplinary research.
September 4th to 8th, University of Glasgow, Scotland
We had a very intresting session at the conference with a lot of great presentations and discussions. We would like to thank all presenters and participants for being part of this track. The proceedings of the conference are out now and can be found here.
Giardini, F., Borit, M., Verhagen, H., Wijermans, N. (2024). Modeling Realistic Human Behavior in Disasters. A Rapid Literature Review of Agent-Based Models Reviews. In: Elsenbroich, C., Verhagen, H. (eds) Advances in Social Simulation. ESSA 2023. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-57785-7_13
Meyer, R., Schmidt-Colberg, A., Kruse, A., Eberhardt, D., Köpke, C. (2024). Towards a Specification of Behaviour Models for Crowds. In: Elsenbroich, C., Verhagen, H. (eds) Advances in Social Simulation. ESSA 2023. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-57785-7_38
Simon Plakolb and Patrick Mellacher: The hidden effect of pandemic interventions: Modeling viral phylogenetic linearity under scenarios derived from the last pandemic
Nick Malleson, Molly Asher and Yannick Oswald: Using Approximate Bayesian Computation to Infer Disease Parameter Uncertainty in a COVID-19 Microsimulation
Marcin Wozniak: With just one tap. Network study of tweets dissemination during the war in Ukraine
Rok Novak and David Kocman: Assessing Particulate Matter Dose Through Mobility: An Agent-Based Model Approach in An Urban Context
Together with Jason Thompson from the University of Melbourne (Australia) we organize this special track dedicated to develop frames, techniques, and methods for better understanding what is central to the process of producing simulations in crises, validating them and using models and results to reach out to society. This track calls for input from a broad variety of disciplines and sectors (e.g. computer science, sociology, disaster studies, psychology, work organization, stakeholders), including inter- and trans-disciplinary research.