CODALoop – Community Data-Loops for energy-efficient urban lifestyles
There is tremendous urgency for reducing cities’ energy footprint through behavioral change. However, we hardly know how to enable individuals to learn to use energy responsibly in their daily lives. This project combines information, cognitive and social sciences into a real-life experiment in urban neighborhoods. It will provide: a) a deeper understanding of learning and behavioral change to reduce energy consumption in an urban setting; b) a tested prototype of an interactive web-based platform for sharing data about individual and community energy consumption choices; c) a tailored set of policy and market recommendations for the wider application of this platform.
Team:
Partners:
- University of Amsterdam (UvA), Amsterdam Institute for Social Science Research (AISSR), The Netherlands (Project Coordinator)
- Graz University of Technology (TU Graz), Austria
- Technical University of Delft (TU Delft), The Netherlands
- Yildiz Technical University (TU Yildiz), Turkey
- Amsterdam Economic Board/Amsterdam Smart City (ASC) (Public-private organization), The Netherlands
- Netherlands Environmental Assessment Agency (Nederlands Planburau voor de Leefomgeving – PBL) (Government research Institute), The Netherlands
- Nudge (Social Enterprise), The Netherlands
- PlusOneMinusOne (P1M1) (Software programming firm), Turkey
- District Municipality of Kadikoy, Istanbul (Local Government), Turkey
- Yurtici Kargo (Logistics Firm), Turkey
- City of Graz (Local Government), Austria
- City Lab Graz (Research and innovation platform), Austria
- Energie Steiermark (Energy company), Austria (Subcontractor of TU Graz & City of Graz)
- HORN CONSULT (Eco-Management Consultancy), Austria (Subcontractor of TU Graz & City of Graz)
Book: From efficiency to reduction (Open Access)
Media: Short public summary of the project (Video from the University of Amsterdam)
Duration: 01.05.2016 – 30.04.2019 (36 months)
Budget:
- Total Budget: € 962.947,00
- CSS Budget: € 304.432,00
Funding: ERA-NET Cofund Smart Cities & Communities Nationaler Antrag, Project Number 6674307