面向架构驱动的跨学科研究:以COVID-19接触者追踪应用程序为例的学习

Fabian Burmeister, Mickey Zar, Tilo Böhmann, N. Elkin-Koren, Christian Kurtz, W. Schulz
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引用次数: 0

摘要

本文探讨了使用架构视角来研究复杂的数据生态系统,并促进对此类生态系统的规范性论述。它认为,架构的视角有助于弥合信息系统(is)研究和法律研究之间的话语和方法差距。结合建筑和规范的观点是一种新颖的跨学科研究方法,为分析技术-法律背景提供了一个框架。本文以COVID-19接触者追踪应用程序为例,展示和讨论了这种方法的优点和挑战。我们将我们的结果概念化为三个层次的知识:第一个是我们研究的典型接触者追踪应用程序及其生态系统的实际知识;其次是我们所使用的架构元模型的知识,它的优点和缺点;三是了解获取is学者和法律专家共享的共同知识的跨学科研究过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Architecture-Driven Interdisciplinary Research: Learnings from a Case Study of COVID-19 Contact Tracing Apps
This paper explores the use of an architectural perspective to study complex data ecosystems and to facilitate a normative discourse on such ecosystems. It argues that an architectural perspective is helpful to bridging discursive and methodological gaps between information systems (IS) research and legal studies. Combining architectural and normative perspectives is a novel interdisciplinary research approach that provides a framework for analyzing techno-legal contexts. The merits and challenges of this approach are demonstrated and discussed in this paper using the example of COVID-19 contact tracing apps. We conceptualize our results on three levels of knowledge: the first is the actual knowledge of the exemplary contact tracing app we studied and its ecosystem; the second is knowledge of the architectural meta-model that we used, its benefits and its shortcomings; and the third is knowledge of the interdisciplinary research process of acquiring common knowledge shared by IS scholars and legal experts.
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