Systems engineering and design (SE&D) researchers increasingly tackle questions at the intersection of technical and social aspects of complex systems design. Practical challenges of access, limited observation scope, and long timescales limit empirical study of SE&D phenomena. As a result, studies are typically conducted in model world settings abstracted from the real world, such as behavioral experiments with student subjects. Model worlds must be representative of the phenomena being studied to ensure insights generalize to the real‐world settings. Currently, there is a lack of shared understanding and standards within the SE&D research community to evaluate representativeness of model worlds. This communication captures the results of ongoing efforts to build consensus on this topic: it defines the concept of model worlds, disambiguates representativeness from related concepts, and draws comparisons to other research domains. It outlines a potential path forward and calls for community participation in establishing shared standards for model world representativeness in SE&D research.

中文翻译：

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呼吁就在系统工程和设计中使用代表性模型世界达成共识

系统工程与设计（SE＆D）研究人员越来越多地解决复杂系统设计在技术和社会方面的交集问题。访问的实际挑战，有限的观察范围和较长的时间范围限制了对SE＆D现象的实证研究。结果，研究通常在模型世界中进行从现实世界中抽象出来的设置，例如对学生科目的行为实验。模型世界必须代表正在研究的现象，以确保洞察力能够推广到现实世界中。当前，SE＆D研究社区内部缺乏共享的理解和标准来评估模型世界的代表性。本交流传达了为就该主题达成共识而正在进行的努力的结果：它定义了模型世界的概念，将相关性与代表性概念区分开，并与其他研究领域进行了比较。它概述了一条潜在的发展道路，并呼吁社区参与为SE＆D研究建立模型世界代表性的共享标准。