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SmartH2O: an ICT Platform to leverage on Social Computing for the efficient management of Water Cons

Acronym SmartH2O

Abstract Urban water use is highly dynamic, variable over time and space, and is expected to constantly increase in the coming years both in Europe and worldwide. Expanding existing infrastructures to access farther or deeper water resources might be one option, but the economic and energy costs could be unsustainably high. There is a need for water demand management strategies (incentives, water pricing, awareness campaigns) to be efficient and sustainable technically, economically, and socially. Yet, individual and collective behavioural response to specific water conservation policies might significantly vary with economic drivers as well as socio-psychological determinants within the same urban context. The SmartH2O project aims at providing water utilities, the municipalities, and citizens, with an ICT enabled platform to design, develop and implement better water demand management policies, which are based on a shared understanding and motivation by the water users, thus leading to a reduction in water consumption, while not compromising the quality of life. SmartH2O builds a bi-directional communication stream between citizens and the water utility: in one direction, user behavioural

SUPSI Organisations Involved Dalle Molle Institute for Artificial Intelligence
Laboratory of microelectronics, bioelectronics and sensors

People involved Bruno Paolo Storni, Corrado Valeri, Alessandro Giusti, Alessandro Facchini, Cristina Emma Margherita Rottondi

Managers Andrea Emilio Rizzoli

Date of Project Start 1 April 2014

Date of Project Completion 31 March 2019