8 pages., via online journal., Formalised methods to address uncertainty are becoming the norm in hydrological modelling, yet they remain fragmented and highly academic, thus limiting their utility for practitioners. Using a qualitative, empirical study of the PIREN-Seine program in France, this paper explores the proccesses behind this trend in an effort to elucidate its prevalence despite inherent limitations when applied to a decision-making context. We identify: 1/ displacement of ‘uncomfortable knowledge’, 2/ fragmented responsibility, 3/ confidence, and 4/ relational framing as interconnected factors, which concurrently support the production of scientific knowledge and the social construction of ignorance, whether it be wilful or intentional. We posit that ignorance is implicitly negotiated among researchers and practitioners in order to reconcile cognitive dissonance and maintain confidence, thereby allowing water managers to take action in the face of uncertainty. Finally, we put forth the notion that having our ‘eyes wide shut’ can be interpreted in two ways: one facilitates the normalisation of ignorance, leaving us vulnerable to unexpected surprises; the other promotes transparent and explicit communication in support of more adaptive and robust decisions.
9 pages., via online journal., Residents of Mexico City experience major hydrological risks, including flooding events and insufficient potable water access for many households. A participatory modeling project, MEGADAPT, examines hydrological risk as co-constructed by both biophysical and social factors and aims to explore alternative scenarios of governance. Within the model, neighborhoods are represented as agents that take actions to reduce their sensitivity to exposure and risk. These risk management actions (to protect their households against flooding and scarcity) are based upon insights derived from focus group discussions within various neighborhoods. We developed a role-playing game based on the model's rules in order to validate the assumptions we made about residents' decision-making given that we had translated qualitative information from focus group sessions into a quantitative model algorithm. This enables us to qualitatively validate the perspective and experience of residents in an agent-based model mid-way through the modeling process. Within the context of described hydrological events and the causes of these events, residents took on the role of themselves in the game and were asked to make decisions about how to protect their households against scarcity and flooding. After the game, we facilitated a discussion with residents about whether or not the game was realistic and how it could be improved. The game helped to validate our assumptions, validate the model with community members, and reinforced our connection with the community. We then discuss the potential further development of the game as a learning and communication tool.
