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 â€ one discussing â€˜Digital Citiesâ€™, and the other on â€˜Energy Futuresâ€™. 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 â€˜wickedâ€™ 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.
|Evidence and Policy: a journal of research, debate and practice
|Published - 2021