The use of participatory approaches to tackle complex adaptive systems (CAS) has benefited decision-making processes in environmental science and management research over the past 20 years. Other complex adaptive systems, such as socio-technical systems or, more recently referred to, socio-ecological-technical systems (SETS), could also benefit. Participatory modelling or modelling with stakeholders has been proven to be a powerful approach to enhancing the understanding of complex systems. Researchers have been using computer simulations and modelling to promote systems thinking and community engagement at the same time. Communities who understand the function of a complex system and can simulate their management alternatives will be more likely to make informed decisions and data-driven governing. This research draws from the current literature on decision-making aids. It proposes gamification of participatory modelling as a decision support tool (DST) for communities dealing with negotiations that involve multiple stakeholders, critical comprehension of trade-offs, and multiple-criteria analysis in a complex context. In this workshop, we will provide a hands-on experience undert our metodologies and some theoretical examples addressing the current state of the art in the research field and analyse limitations and prospects for future research needs. Valuable lessons from Participatory modelling will be recognised for resilience planning and other risk and disaster-related management challenges.
Part 1. Participatory modelling in socio-technical systems. (15 mins)
Part 2. Hands-on: playing with Uncertainty - a methodology in practice. (35 mins)
Part 3. Reflecting on lessons and future research. (10 mins)
Due to copyrights, the methodology cannot be presented here. But will be detailed once the abstract is accepted.
Facilitator/Author: Bryann Avendano, PhD candidate in Civil and Natural Resources Engineering. University of Canterbury, New Zealand.
Number of participants: Online, groups of six people. No preliminary experience required.