Futures ( IF 3.788 ) Pub Date : 2021-07-14 , DOI: 10.1016/j.futures.2021.102808 Daniela Peukert 1 , Ulli Vilsmaier 2
This paper provides insights into the practice of design-based interventions in transdisciplinary research and demonstrates how design prototyping can be made fruitful in processes of transformation and collaborative knowledge production. It shows how heterogeneous perspectives and stocks of knowledge can be related to each other and moments of integration generated by working with conceptual designs. Due to their open character, design methods are discussed as particularly promising when dealing with a high degree of complexity, uncertainties, and unknowns. After a characterization of design research and prototyping, common strategies of design research and transdisciplinary research for addressing heterogeneity and unknowns will be explored. This serves to frame the transfer of design practices to support integration processes in transdisciplinary teams. Using an example from a transdisciplinary case study in Transylvania, the implementation of design prototyping will be demonstrated and initial findings presented. Different integration dimensions from transdisciplinary sustainability research serve as a basis for investigating the epistemic, social-organizational, and communicative integration performance of design prototyping. For transdisciplinary research, design practices expand the methodical canon for working in heterogeneous teams and tackling uncertainty and unknowns in openness.
中文翻译:
跨学科研究中的协作设计原型:异质性和未知数的方法
本文提供了对跨学科研究中基于设计的干预实践的见解,并展示了设计原型如何在转型和协作知识生产过程中卓有成效。它展示了异类观点和知识储备如何相互关联,以及通过使用概念设计产生的整合时刻。由于它们的开放性,设计方法在处理高度复杂性、不确定性和未知数时被认为特别有前途。在对设计研究和原型设计进行表征之后,将探讨设计研究和跨学科研究解决异质性和未知数的共同策略。这有助于构建设计实践的转移,以支持跨学科团队中的集成过程。使用特兰西瓦尼亚跨学科案例研究中的一个例子,将展示设计原型的实施并呈现初步结果。来自跨学科可持续性研究的不同整合维度作为研究设计原型的认知、社会组织和交流整合性能的基础。对于跨学科研究,设计实践扩展了在异质团队中工作以及在开放性中处理不确定性和未知数的系统规范。来自跨学科可持续性研究的不同整合维度作为研究设计原型的认知、社会组织和交流整合性能的基础。对于跨学科研究,设计实践扩展了在异质团队中工作以及在开放性中处理不确定性和未知数的系统规范。跨学科可持续性研究的不同整合维度作为研究设计原型的认知、社会组织和交流整合性能的基础。对于跨学科研究,设计实践扩展了在异质团队中工作以及在开放性中处理不确定性和未知数的系统规范。