System dynamics modelling and the use of evidence to inform policymaking
System dynamics modelling and the use of evidence to inform policymaking
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DOI：
10.1080/01442872.2022.2080814
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发表时间：
2022-06-01
期刊：
影响因子：
2.2
通讯作者：
Parkhurst, Justin
中科院分区：
文献类型：
--
作者：
Malbon, Eleanor;Parkhurst, Justin
近年来，政策界越来越有兴趣应用系统动力学建模的见解来解决许多政策问题的复杂性。然而，这是与公共决策中证据使用性质的批判性学术研究的最新发展同时发生的。虽然系统动力学旨在帮助分析和解决复杂的政策问题，但在此过程中，它也有助于确定哪些数据和证据被认为与政策相关，或者证据如何适应复杂的政策空间。在本文中，我们结合联合收割机的见解，从复杂系统建模和关键政策研究领域的这些问题。致力于在政策制定中使用证据的学者已经探索了政策问题及其潜在解决方案如何具有一系列潜在的框架和结构。他们进一步确定了如何进行过程来定义问题，应用证据，并选择解决方案，这些解决方案本身可以指定哪些结构得以实现。随着系统动力学模型越来越多地被用作政策信息工具，必须反思政策问题及其解决方案是如何构建或理解的，以及在这样做时代表了谁的价值观和观点。
In recent years there has been growing interest in the policy community to apply insights from system dynamics modelling to address the complexity of many policy issues. This, however, has occurred in parallel to recent developments in critical scholarship on the nature of evidence use within public policymaking. While system dynamics aims to assist in the analysis and solving of complex policy problems, in doing so it also serves to identify which pieces of data and evidence are considered policy-relevant, or how pieces of evidence fit within a complex policy space. In this paper, we combine insights from the fields of complex systems modelling and critical policy studies in relation to these issues. Scholars working on the use of evidence within policymaking have explored how policy problems, and their potential solutions, have a range of potential framings and constructions. They further identify how processes are undertaken to define problems, apply evidence, and choose solutions can themselves specify which constructions become realized. As system dynamics modelling is increasingly applied as a policy-informing tool, it is critical to reflect on how policy issues and their solutions are constructed or understood, as well as whose values and views are represented in doing so.