Modelling as an integrative method in transdisciplinary research

Views integration as having “communicative, social and cognitive” aspects, relating to language, roles and knowledge, respectively. A key element was establishing a “task force”, with representatives of the key subgroups, whose role is to “introduce core concepts and methods” from their subgroups and to “communicate agreements and results of the integration process back to the subgroups”. The focus of this work is on cognitive integration and three coupling tools: “variables (continuous system states)”, “indicators (aggregated system states)” and “thresholds (critical system states)”. Choosing variables is important for joint understanding and interfaces between disciplinary models. Indicators structure negotiation on the measurement of effects. Thresholds “are normative and help negotiate values.” The method is illustrated using a case examining climate change effects on future natural and artificial snow conditions and hence on tourism and the economy in two regions in the Austrian alps.

Digital poster: Strasser, U. and Vilsmaier, U. (2013). Coupled numerical modelling for inter- and transdisciplinary integration in climate change effect research: examples of interface design, digital poster #800, from the First Global Conference on Research Integration and Implementation Canberra, Australia, online and at co-conferences in Germany, the Netherlands and Uruguay, 8-11 September, 2013. You can access this digital poster as a powerpoint presentation or pdf:

Posted: January 2015
Last modified: January 2015