Ideal, Best, and Emerging Practices in Creating Artificial Societies

Giabbanelli, Philippe J.; Voinov, Alexey A.; Castellani, Brian; Tornberg, Petter

doi:10.23919/springsim.2019.8732881

Ideal, Best, and Emerging Practices in Creating Artificial Societies

Giabbanelli, Philippe J.; Voinov, Alexey A.; Castellani, Brian; Tornberg, Petter

Authors

Philippe J. Giabbanelli

Alexey A. Voinov

Professor Brian Castellani brian.c.castellani@durham.ac.uk
Professor

Petter Tornberg

Abstract

Artificial societies used to guide and evaluate policies should be built by following “best practices”. However, this goal may be challenged by the complexity of artificial societies and the interdependence of their sub-systems (e.g., built environment, social norms). We created a list of seven practices based on simulation methods, specific aspects of quantitative individual models, and data-driven modeling. By evaluating published models for public health with respect to these ideal practices, we noted significant gaps between current and ideal practices on key items such as replicability and uncertainty. We outlined opportunities to address such gaps, such as integrative models and advances in the computational machinery used to build simulations.

Citation

Giabbanelli, P. J., Voinov, A. A., Castellani, B., & Tornberg, P. (2019). Ideal, Best, and Emerging Practices in Creating Artificial Societies. https://doi.org/10.23919/springsim.2019.8732881

Journal Article Type	Article
Online Publication Date	Jun 10, 2019
Publication Date	Jun 10, 2019
Deposit Date	Aug 20, 2019
Publicly Available Date	Aug 27, 2019
Peer Reviewed	Peer Reviewed
Pages	13-24
DOI	https://doi.org/10.23919/springsim.2019.8732881

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