Socio-technical challenges towards data-driven and integrated urban water management: A socio-technical network approach

Data-driven and integrated urban water management have been proposed to reduce surface pollution in light of climate change urbanization impacts. Besides technological innovation, data-driven require information exchange among many actors, e.g., operators, engineers, or authorities. With the aim achieving a more profound understanding socio-technical infrastructures, such as systems, I draw on approach networks study actors infrastructure elements well multiple relations in-between. In this article, investigate whether underlying dependencies influence social interactions exchange. More specifically related management, analyze potential challenges, organizational fragmentation, data access, diverging perceptions. Based empirical from three case studies Switzerland, provide inferential results obtained fitting exponential random graph models. Findings showed that actors’ relatedness affects their Among cases, presence challenges varied is potentially contingent upon system size, form, progress terms management. Thus, incorporating perspective could help improve policy design implementation aiming achieve sustainable cities.