Ideal, Best, and Emerging Practices in Creating Artificial Societies

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

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, April). Ideal, Best, and Emerging Practices in Creating Artificial Societies. Presented at 2019 Spring Simulation Conference (SpringSim), Tucson, Arizona, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2019 Spring Simulation Conference (SpringSim)
• Start Date: Apr 29, 2019
• End Date: May 2, 2019
• Online Publication Date: Jun 10, 2019
• Deposit Date: Aug 20, 2019
• Publicly Available Date: Aug 27, 2019
• Peer Reviewed: Peer Reviewed
• Pages: 13-24
• Book Title: 2019 Spring Simulation Conference (SpringSim)
• DOI: https://doi.org/10.23919/springsim.2019.8732881
• Public URL: https://durham-repository.worktribe.com/output/1324465