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Using collaborative conceptual modelling as a tool for transdiscipinarity
Evidence & Policy: A Journal of Research, Debate and Practice ( IF 2.595 ) Pub Date : 2021-02-01 , DOI: 10.1332/174426419x15468578119304
Kate Neely 1 , Martin Bortz 1 , Sara Bice 2
Affiliation  

This article provides an appraisal of collaborative conceptual modelling (CCM) as a tool for research translation. First developed by Newell and Proust (2012), CCM draws on the tools and frameworks of systems thinking as a way of addressing transdisciplinary problems. We applied CCM in two separate workshops – one discussing ‘Digital Cities’, and the other on ‘Energy Futures’. The aim was to assess the value and limitations of CCM in an applied setting, as well as its value in producing transdisciplinary research outcomes. We found that CCM is a valuable tool for researchers interested in addressing complex or ‘wicked’ problems. At the same time, it has its own challenges. These barriers include recruiting workshop participants who are not researchers; assisting workshop participants in developing a truly collaborative approach; and training participants in how to draw some of the main CCM tools (particularly causal loop diagrams). Future research will explore how to address these challenges, and apply CCM in a contested space.

中文翻译:

使用协作概念建模作为跨学科的工具

本文对作为研究翻译工具的协作概念建模 (CCM) 进行了评估。CCM 最初由 Newell 和 Proust (2012) 开发,它利用系统思维的工具和框架作为解决跨学科问题的一种方式。我们在两个独立的研讨会中应用了 CCM——一个讨论“数字城市”,另一个讨论“能源未来”。目的是评估 CCM 在应用环境中的价值和局限性,以及它在产生跨学科研究成果方面的价值。我们发现 CCM 是对解决复杂或“邪恶”问题感兴趣的研究人员的宝贵工具。同时,它也有自己的挑战。这些障碍包括招募非研究人员的研讨会参与者;协助研讨会参与者制定真正的协作方法;并培训参与者如何绘制一些主要的 CCM 工具(特别是因果循环图)。未来的研究将探索如何应对这些挑战,并将 CCM 应用于有争议的空间。
更新日期:2021-02-01
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