This article demonstrates techniques to enhance the public policy impact of qualitative system dynamics models. We focus on the effective use of a large causal loop diagram (CLD) to explore a multifaceted problem situation. We discuss the conditions that can lead to developing a large CLD, the challenges this presents, and techniques that can be used to overcome them. Several techniques are discussed related to an online group model-building (GMB) process, the use of quantitative data, visual model analyses using a software tool and reporting. The techniques are demonstrated using an impactful case study on the social impact of the COVID-19 pandemic. We reflect on the efficacy of the approach through the lens of systems thinking and conclude that the techniques made a positive contribution to all aspects of systems thinking. Several avenues for future work are discussed. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

中文翻译：

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增强定性系统动力学模型公共政策影响的技术

本文演示了增强定性系统动力学模型公共政策影响的技术。我们专注于有效使用大型因果循环图（CLD）来探索多方面的问题情况。我们讨论了可能导致开发大型 CLD 的条件、由此带来的挑战以及可用于克服这些挑战的技术。讨论了与在线群体模型构建 (GMB) 过程、定量数据的使用、使用软件工具和报告进行可视化模型分析相关的几种技术。这些技术通过关于 COVID-19 大流行的社会影响的有影响力的案例研究来证明。我们从系统思维的角度反思了该方法的有效性，并得出结论，这些技术对系统思维的各个方面都做出了积极的贡献。讨论了未来工作的几种途径。© 2023 作者。系统动力学评论由 John Wiley & Sons Ltd 代表系统动力学协会出版。