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- 2019 (4) (entfernen)
Supporting sustainability transformation through research requires, in equal parts, knowledge about complex problems and knowledge that supports individual and collective action to change the system. Recasting the conditions, characteristics, and modes of research processes that address these needs leads to solution-oriented research in sustainability science. This is supported by systematically analyzing the system’s dynamics, envisioning the desired future target state, and by engaging and designing strategic pathways. In addition, learning and capacity building are important crosscutting processes for co-producing required knowledge. In research, we use sophisticated representations as mediators between theories and objects of interest, depicted as visualizations, models, and simulations. They simplify, idealize, and store large and dense amounts of information. Representations are already employed in the service of sustainability, e.g., in communication about climate change. Understanding them as tools to facilitate processes, dialogue, mutual learning, shared understanding, and communication can yield contributions to knowledge processes of analyzing, envisioning, and engaging, and has implications on the design of the sustainability solution. Therefore I ask, what role do representations and representational practices play in the generation of sustainability solutions in different knowledge processes? Four empirical case studies applying rough set analysis, multivariate statistics, systematic literature review, and expert interviews target this research question. The overall aim of this dissertation is to contribute to a stronger foundation and the role of representation in sustainability science. This includes: (i) to explore and conceptualize representations for the three knowledge processes along selected characteristics and mechanisms; (ii) to understand representational practices as tools and embedded into larger methodological frameworks; (iii) to understand the connection between representation and (mutual) learning in sustainability science. Results point toward crosscutting mechanisms of representations for knowledge processes and the need to build representational literacy to responsible design and participate in representational practices for sustainability.
Metals fulfill crucial functions in areas as diverse as renewable energy, digitization and life style appliances, mobility, communication, or medicine. In the context of sustainability, achieving a more sustainable metal use means (i) minimizing the adverse effects associated with metal production and use and (ii) sustaining the availability of metals in a way that benefits present and future generations. Urgent need to act to avoid bottlenecks as well as meeting the challenge of possible conflicts of use among those areas of application calls for appropriate strategy making to intervene in the complex field of metal production and use that involves various, often interlinked operating levels, actors, and spatial and temporal scales. This dissertation focuses on strategies as a means to intervene in a system. It pursues the question, which design features could guide future strategy making to foster sustainability along the whole metal life cycle, and especially, how a better understanding of temporalities, i.e. understanding time in a diverse sense, could improve strategy design and help to bridge the assumed "transformation-material gap". This research converges the results from four research studies. A conceptual part explores the role of temporalities for interventions in complex and interlinked systems, which adds to the conceptual basis, on which the empirical part builds up to explore present and future interventions in metal production and use. The research revealed three essential needs that future strategies must tackle: (i) managing the complex interlinkages of processes and activities on various operational levels and spatial and temporal scales, (ii) providing clear guidance concerning the operationalization of sustainability principles, and (iii) keeping activities within the planet’s carrying capacity and embracing constant change as an inherent system characteristic. In response to these needs, the author developed three guidelines with two design features each (one relating to content, and one to the process of formulating and implementing the strategy) to guide future strategy making. The results show that time matters in this respect. If considered in close relation to space and diversely understood in the sense of temporalities, it serves to (i) understand the impact (duration and magnitude) of an intervention, (ii) recognize patterns of change that go beyond establishing linear, one-dimensional connections, and (iii) design interventions in a way that considers the resilience of a system. These findings can contribute to closer considering our understanding of transformation processes towards sustainability in future interventions in metal production and use.
Increasingly, researchers are expected to work in collaborative interdisciplinary teams to tackle more complex and interrelated problems. However, the prospect of collaborating with others, from different disciplines, exerts countervailing forces on researchers. There is the lure of transcending the limitations of one's own knowledge, methods and conventions, belonging to diverse intellectual communities and tackling, together, ambitious research topics. On the other hand, there is the risk that collaborating across disciplinary boundaries will be taxing, confounding at times, with no guarantee of success. This thesis is about collaborative interdisciplinary research from the perspective of a formative accompanying researcher. The author accompanied an interdisciplinary research team in the field of sustainability over three years for the duration of a collaborative project. Formative accompanying research (FAR) is an approach to "research into research" that learns about, with and for a collaborative interdisciplinary team. The author found - through immersion in the literature, her own daily experiences of collaborating, and her observations – that interdisciplinary collaboration is very difficult. It requires a basic understanding and appreciation of other disciplines and methods, as well as the skills to integrate research inquiries and findings across diverse epistemologies. It also requires awareness that collaborative interdisciplinary research is more than an intellectual task of knowledge creation. Other factors matter, such as interpersonal relationships, power differentials, different research tempos and a sense of belonging. And these factors have an impact on processes and outcomes of collaborative knowledge creation. Knowing this implies a willingness to keep learning and to tolerate discomfort so as to cultivate deeper levels of collaborative capacity. The author discovered that in these deeper levels lie skills for staying with inevitable tensions, for talking and listening to generate new understanding together, and for applying a researcher's frank curiosity to oneself too. A formative accompanying researcher, who is part of the team she is researching, has to navigate delicate terrain. In this thesis, the author develops a FAR methodology that takes seriously the questions of positionality and relationality, and reflects on the experiences of putting these into practice. A FAR practice involves remaining in dynamic movement between observing and participating, between exercising curiosity and care, and between the researchers' own sense of impartiality and investment in relation to the issues at hand. There is merit in furthering the methodology and practice of FAR on its own terms. This includes attending to the skills required by a formative accompanying researcher to remain oriented within the concentric circles of research, relationship and loyalty that make up a collaborative team. There is also the question of how FAR, and other forms of research into research, can help to advance collaborative interdisciplinary research. The author argues for creating the conditions in research teams that would enable treating collaboration as a capacity to develop, and that would facilitate team members' receptivity to learning with FAR. Furthermore, she explores dilemmas of intervening as a formative accompanying researcher and of sustaining dynamic positionality over the long-term.
"Reallabore" erleben als junges Format transformativer Nachhaltigkeitsforschung gegenwärtig eine beeindruckende Konjunktur. Die Dissertation arbeitet den Reallabor‐Ansatz aus Perspektive der transdisziplinären Forschung methodisch aus. Die Basis hierfür bildet die Erfahrung mit dem Auf‐ und Ausbau von einem der ersten Reallabore in Deutschland: Das langfristig ausgelegte "Quartier Zukunft - Labor Stadt" in Karlsruhe transformiert in Kooperation mit der Zivilgesellschaft ein Quartier modellhaft in einen nachhaltigeren Lebensraum. Es setzt dabei gleichermaßen auf Bildung, Forschung und Praxis. Die vorgelegten Artikel der kumulativen Dissertation bilden verschiedene Stadien der Entwicklung der Reallaborforschung und der methodologischen Reflexion ab. Die ersten beiden Texte entwickeln eine praxisnahe Definition und ordnen Reallabore ein in verwandte Diskurse. Die folgenden beiden Artikel stammen aus der beginnenden Stabilisierung des Reallabordiskurses. Der eine stellt Ziele und Designprinzipien für Reallabore als Rahmen transformativer und transdisziplinärer Forschung dar, der zweite greift aktuelle Diskussionen um Lernprozesse konzeptionell auf. Die letzten zwei Artikel fokussieren auf die Ebene der Projekte im Reallabor am Beispiel der Transformativen Projektseminare, einmal in analytischer Perspektive, einmal in methodisch‐didaktischer. Der Rahmentext abstrahiert die Ergebnisse der zuvor publizierten Artikel entlang dreier Forschungsfragen: Was ist neu am Reallabor‐Ansatz? Welches Potenzial hat ein Reallabor für transdisziplinäre Forschung? Und welche Rolle spielt Lernen im Reallabor? Die methodologische Reflexion führt zu einem Verständnis von Reallaboren als Format zwischen Urban Living Labs und Transition Labs, das sich gegenüber diesen insbesondere durch Langfristigkeit, Bildungsziele und eine klare Trennung zwischen Labor und Experimenten auszeichnet. Aus der kritischen Auseinandersetzung mit Reallaboren wird eine doppelte Bezugnahme auf Transdisziplinarität herausgearbeitet, einerseits als Infrastruktur für transdisziplinäre Projekte, andererseits als in sich transdisziplinäres Unterfangen. Ausgehend von dieser Unterscheidung wird ein Vorschlag gemacht, an welche experimentellen Methodologien jenseits der klassisch‐naturwissenschaftlichen die transdisziplinäre Forschung, die bislang kaum experimentell arbeitet, anknüpfen kann. Das Reallabor unterstützt solche Experimente durch einen Rahmen aus materieller Infrastruktur, durch Kompetenzen der Beteiligten, durch Wissensbestände und soziale Vernetzung. Die Vernetzung über Projektgrenzen hinweg, ein weiteres wesentliches Charakteristikum eines Reallabors, dient dazu, parallele Experimente zu vernetzen und iterative Lernzyklen zu unterstützen. Diese Aspekte werden verbunden zum "Apfelmodell" transdisziplinärer Forschung im Reallabor, in dem das Reallabor als doppeltes Bindeglied fungiert, einerseits zwischen internen und externen Lernzyklen, und andererseits zwischen wissenschaftlichen, bildungsorientierten und praktischen. Durch die Interpretation der Abläufe im Reallabor als Lernprozesse wird ein Anschluss an Bildungsprozesse auf unterschiedlichen Skalen möglich. Neben Lernprozessen im Reallabor als Lernumgebung lässt sich das Reallabor als lernende Institution und als Kristallisationspunkt gesellschaftlicher Lernprozesse verstehen. Das Apfelmodell kann gleichermaßen im Kontext theoretischer Fragen im Transdisziplinaritätsdiskurs herangezogen werden als auch praktischen Zwecken dienen, insbesondere in der Planung von Reallaboren, in der quervernetzten Konzeption von Projekten darin, in der Evaluation und in der Kommunikation.