Koliba Christopher, Merrill Scott C, Zia Asim, Bucini Gabriela, Clark Eric, Shrum Trisha R, Wiltshire Serge, Smith Julia M
Social Ecological Gaming and Simulation Lab, School of Public Administration and Affairs, University of Kansas, Lawrence, KS, United States.
Social Ecological Gaming and Simulation (SEGS) Lab, Plant and Soil Science Department, Gund Institute for Environment, University of Vermont, Burlington, VT, United States.
Front Vet Sci. 2022 Oct 20;9:962788. doi: 10.3389/fvets.2022.962788. eCollection 2022.
This paper provides a research summary of a series of serious games and simulations that form the basis of an experimental platform for the study of human decision-making and behavior associated with biosecurity across complex livestock production chains. This platform is the first of its kind to address the challenges associated with scaling micro-behavior of biosecurity decision-making to macro-patterns of disease spread across strategic, tactical and operational levels, capturing the roles that facility managers and front-line workers play in making biosecurity decisions under risk and uncertainty. Informational and incentive treatments are tested within each game and simulation. Behavioral theories are used to explain these findings. Results from serious games in the form of behavioral probability distributions are then used to simulate disease incidence and spread across a complex production chain, demonstrating how micro-level behaviors contribute to larger macro-level patterns. In the case of this study, the propensity to adopt micro-level biosecurity practices are applied to a network percolation disease spread model. By presenting the suite of companion models of behavior and disease spread we are able to capture scaling dynamics of complex systems, and in the process, better understand how individual behaviors impact whole systems.
本文提供了一系列严肃游戏和模拟的研究总结，这些游戏和模拟构成了一个实验平台的基础，用于研究与复杂畜牧生产链中的生物安全相关的人类决策和行为。该平台是同类平台中首个应对将生物安全决策的微观行为扩展到战略、战术和运营层面疾病传播宏观模式相关挑战的平台，它捕捉了设施管理人员和一线工作人员在风险和不确定性下做出生物安全决策时所扮演的角色。在每个游戏和模拟中都对信息和激励处理方式进行了测试。运用行为理论来解释这些发现。然后，以行为概率分布形式呈现的严肃游戏结果被用于模拟疾病在复杂生产链中的发病率和传播情况，展示微观层面的行为如何促成更大的宏观层面模式。在本研究中，采用微观层面生物安全措施的倾向被应用于一个网络渗流疾病传播模型。通过展示一系列行为和疾病传播的伴随模型，我们能够捕捉复杂系统的缩放动态，并在此过程中更好地理解个体行为如何影响整个系统。
