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Der Club of Wuppertal
(2005)
Domestic sustainability innovations are considered to play a key role for pathways to sustainable consumption. The paper shows how open innovation processes can lead to such sustainable innovations, by means of an experimental and interactive infrastructure. It presents how – based on results of the LivingLab project conducted at the Wuppertal Institute within a European Consortium (Lead TU Delft) - currently an extended Sustainable LivingLab approach is developed and applied in two joint research projects at national and international level. To conceptualise this approach, we refer to recent proceedings in innovation and sustainability research, i.e. practice theory to analyse sustainable product design. Focusing on technical solutions and individual behaviour while assuming people's needs as fixed entities, disregards the dynamics of everyday practices in which technologies themselves create needs. Therefore, the consumer's position should be strengthened through userdriven innovation. LivingLabs are combined lab-/household systems, which put the user, i.e. the home occupant, and value chain related actors (producer, handicraft, etc.) on centre stage in the innovation process. We introduce its research agenda and the Three Phases Model of research. We hypothesise that at the end of this userintegrated innovation process developed products have a higher chance of successful diffusion. To illustrate this, we show how the LivingLab infrastructure is employed for the German InnovationCity Ruhr and how it can promote the development of user-centred sustainable consumption strategies.
The transformation processes towards a sustainable development are complex. How can science contribute towards new solutions and ideas leading to change in practice? The authors of this book discuss these questions along the energy transition in the building sector.
A transformative research that leaves the neutral observer position needs appropriate concepts and methods: how can knowledge from different disciplines and from practice be integrated in order to be able to explain and understand complex circumstances and interrelations? What role do complex (agent-based) models and experiments play in this respect? Which mix of methods is required in transformative science in order to actively support the actors in transformation processes?
Theses questions are illustrated by the example of the BMBF funded project "EnerTransRuhr".
Was hat Design mit Umwelt und Nachhaltigkeit zu tun? Die globale Erwärmung und der Klimawandel lassen sich auf verschiedene Ursachen zurückführen. Design, das die Umwelt außen vor lässt, ist einer der Gründe. Viele Produkte und Dienstleistungen verbrauchen nämlich viel Energie und Ressourcen haben auch eine hohe soziale Relevanz - sie sorgen beispielsweise für Teilhabe oder Exklusion. Wie eine Transformation hin zu mehr Nachhaltigkeit in diesem Bereich besser gelingt, fasst der neue "Transition Design Guide" des Wuppertal Instituts und der Folkwang Universität der Künste in Kooperation mit der ecosign - Akademie für Gestaltung Köln und der Bergischen Universität Wuppertal zusammen.
Der Leitfaden gibt interessierten Gestaltenden, Entwickelnden, Transformatorinnen und Transformatoren sowie Forschenden in Universitäten, Unternehmen und Kommunen 16 Praxis-Werkzeuge an die Hand, um Produkte, Dienstleistungen, soziale Räume oder andere Erfahrungswelten nachhaltiger und umweltbewusster zu entwerfen. Anhand der Arbeitsblätter lassen sich gestalterische Ideen und Konzepte auf ihre Nachhaltigkeitspotenziale untersuchen und weiterentwickeln. Nachhaltigkeitsaspekte werden dabei mit den Methoden und Arbeitsschritten eines klassischen Designprozesses zusammengeführt. Ausführliche Hintergrundinformationen ergänzen die Themen der Tools inhaltlich.
Footprint calculators are efficient tools to monitor the environmental impact of private consumption. We present the results of an analysis of data entered into an online Material Footprint calculator undertaken to identify the socioeconomic drivers of the Material Footprint in different areas of consumption, from housing to holidaymaking. We developed regression models to reveal (1) the impact of socioeconomic characteristics on Material Footprints of private households and (2) correlations between the components of Material Footprints for different arrays of consumption. Our results show that an increasing Material Footprint in one array of consumption comes with an increasing Material Footprint in all other arrays, with the exception of housing and holidaymaking. The socioeconomic characteristics of users have a significant impact on their Material Footprints. However, this impact varies by the array of consumption. Households only exhibit generally bigger Material Footprints as a result of higher incomes and larger dwellings. We conclude that indicators which strive to monitor resource efficiency should survey disaggregated data in order to classify the resource use to different population groups and arrays of consumption.
Green Information Systems in general, and footprint calculators in particular, are promising feedback tools to assist people in adopting sustainable behaviour. Therefore, a Material Footprint model for use in an online footprint calculator was developed by identifying the most important predictors of the Material Footprint of the calculator's users. By means of statistical learning, the analysis revealed that 22 of the 95 predictors identified accounted for 74% of the variance in Material Footprints. Ten predictors out of the 95, mainly from the mobility domain, were capable of showing a prediction accuracy of 61%. The authors conclude that 22 predictors from the areas of mobility, housing and nutrition, as well as sociodemographic information, accurately predict a person's Material Footprint. The short and concise Material Footprint model may help developers and researchers to enhance their information systems with additional items while ensuring the data quality of such applications.
