Project Partners

GoEco! is an inter-disciplinary research project developed by the University of Applied Sciences and Arts of Southern Switzerland (SUPSI) and the Swiss Federal Institute of Technology in Zürich (ETH Zürich).

Three SUPSI institutes are involved in GoEco!:

  • the Institute for Applied Sustainability to the Built Environment (ISAAC) has competences in participatory processes and decision support systems (DSS) for energy and natural resources management. Currently, research activities focus on sufficiency and sustainable lifestyles, stakeholders integration and conflict management (living labs) in the energy sector, with a special interest for the mobility sector;
  • the Dalle Molle Institute for Artificial Intelligence (IDSIA) is a world leading research institution, making advances in the fields of machine learning, data mining, modelling and simulation. The institute is currently developing ICT platforms for leveraging on social computation for urban water management. It is also active in the fields of smart grid research and decision support systems for optimisation and management of industrial and natural processes;
  • the Laboratory of Visual Culture (LCV) has competences in the fields of interaction design, game design, web and mobile applications, information visualization systems, digital archives and interactive installations. LCV is involved in research projects on interaction design for sustainable living with a focus on gameful and ludic products and services to add quality to user experiences and interfaces.

ETH Zürich
At ETH Zürich, the Institute of Cartography and Geoinformation (IKG) is involved.

The Geoinformation Engineering (GIE) group at IKG deals with questions related to mobility and renewable energies from a geospatial perspective. The group’s expertise covers the analysis of people’s mobility patterns (e.g., mobile phone data trajectories), the design and testing of location-based services and spatio-temporal similarity analyses. The research group is also active regarding the utilization of GIS for renewable energy planning and spatio-temporal location optimization (e.g., wind, solar and combined biogenic heat and power plants).

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