Designing a simulation-supported learning process for decision makers in the Mekong region

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Smajgl, Alexander; Ward, John; Egan, Stephen

Smajgl, Alexander; Ward, John; Egan, Stephen


2013-12-02


Conference Material


MODSIM2013, 20th International Congress on Modelling and Simulation, Adelaide, 1-6 Decemer 2013


2013-2109


Piantadosi, J., Anderssen, R.S. and Boland J.


Abstract: Hydropower development, expansion of rubber plantations, large scale irrigated agriculture and sealevel rise represent some of the key opportunities and risks perceived by decision makers in the Mekong region. Using opportunities wisely and responding effectively to risks without compromising a sustainable future demands insights into complex system responses. This paper describes a participatory learning process for decision makers and decision influencers in five riparian countries located in the wider Mekong region. Structured engagement processes and mixed methods addresses the learning challenges associated with high levels of system complexity and the values of competing interests. The mixed methods approach involved a suite of disciplinary specific models, household surveys and an agent-based simulation model. Learning was facilitated by challenging beliefs articulated by stakeholders during the participatory process. A key insight from this study is that the potential to introduce doubt and challenge prevailing beliefs – and thereby to facilitate learning – increases with the complexity of the particular method implemented. Overall, this work emphasises the relevance of process design to effectively address cognitive barriers encountered at the science-policy interface and achieve targeted learning outcomes.


The Modelling and Simulation Society of Australia and New Zealand


Keywords: Agent-based modeling; Participatory process design; Mekong.


Simulation and Modelling


Link to Publisher's Version


Copyright © 2013 The Modelling and Simulation Society of Australia and New Zealand Inc. All rights reserved.


EP135705


Conference Paper - Refereed


English


Smajgl, Alexander; Ward, John; Egan, Stephen. Designing a simulation-supported learning process for decision makers in the Mekong region. In: Piantadosi, J., Anderssen, R.S. and Boland J., editor/s. MODSIM2013, 20th International Congress on Modelling and Simulation; 1-6 Decemer 2013; Adelaide. The Modelling and Simulation Society of Australia and New Zealand; 2013. 2013-2109.



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