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In past digital health interventions, an issue has been that participants drop out over time which is referred to as the ”law of attrition” (Eysenbach, 2005). Based on this, we propose that though initially, participants respond to the intervention, there is a hypothesized second diminishing e↵ect of an intervention. However, we suggest that on top, there is a third e↵ect. Independent of the individual notification or nudge, people could build the knowledge, skills and practice needed to independently engage in the behavior themselves (schraefel and Hekler, 2020). Using behavioral theory and inspired by prior animal computational models of behavior, we propose a dynamical computational model to allow for a separation of intervention and internalization. It is targeted towards the specific case of the HeartSteps intervention that could not explain a diminishing immediate effect of the intervention, second hypothesized e↵ect, while a person’s overall steps remained constant, third e↵ect (Klasnja et al., 2019). We incorporate a habituation mechanism from learning theory that can account for the immediate diminishing e↵ect. At the same time, a reinforcement mechanism allows participants to internalize the message and engage in behavior independently. The simulation shows the importance of a participant’s responsiveness to the intervention and a sufficient recovery period after each notification. To estimate the model, we use data from the HeartSteps intervention (Klasnja et al., 2019; Liao et al., 2020), a just-in-time adaptive intervention that sent two to five walking suggestions per day. We run a Bayesian estimation with Stan in R. Additional validation tests are needed to estimate the accuracy of the model for di↵erent individuals. It could however serve as a template for future just-intime adaptive interventions due to its generic structure. In addition, this model is of high practical relevance as its derived dynamics can be used to improve future walking suggestions and ultimately optimize notification-based digital health interventions.
Given the complex, dynamic, and urgent problems that sustainability science addresses, research approaches are required that not only improve the understanding of sustainability challenges, but also to support action for sustainable development. In this context, transdisciplinary research has established as an approach that aims not only to generate new knowledge, but also to promote the societal relevance and application of research findings through direct collaboration of scientists and societal stakeholders from different fields in integrative research processes. Despite its increasing prevalence in the field, there remains a gap between theoretical ideal-typical models of transdisciplinary research and its actual application within sustainability science. While scholars generally agree that transdisciplinary research is societally effective, there is scattered and partly conflicting evidence on which aspects of transdisciplinary research foster societal impact. Moreover, the extent to which transdisciplinary research contributes to scientific progress is largely unexplored.
This thesis aims to contribute to a better understanding of the actual implementation of transdisciplinary research in sustainability science. Following three aims, this work likes to (1.) contribute to the measurability of transdisciplinary research processes as well as their societal and academic outputs and impacts, to (2.) demarcate transdisciplinary research from other modes of research in sustainability science and to (3.) identify and examine the determinants that shape the contribution of transdisciplinary research to societal action for sustainable development and to scientific knowledge production.
To serve these aims a mixed methods approach is applied that combines strong quantitative elements with in-depth qualitative analyses that integrate the perspectives of practitioners. This thesis provides a broad set of indicators to describe and assess transdisciplinary research that translate theoretical concepts form transdisciplinarity theory into observable variables. The indicators offer a holistic perspective on transdisciplinary research by representing research mode characteristics, societal as well as scientific outcomes of research projects and their specific context.
To theoretically demarcate transdisciplinary research from other forms of research, a narrative literature review first elaborates the differences between ‘normal science’, political use of scientific knowledge and transdisciplinarity in their underlying logics of problem definition, knowledge production and research utilization. Subsequently, these concepts were compared with perspectives and expectations of practitioners in the forest sector on integrative research settings, showing that practitioner perspectives align the most with conceptualizations of political use of scientific knowledge.
Moreover, a cluster analysis of data from 59 research projects identified five research modes that empirically demarcate ideal-typical transdisciplinary research from other research modes within sustainability science: (1) purely academic research, (2.) practice consultation, (3.) selective practitioner involvement, (4.) ideal-typical transdisciplinary research and (5.) practice-oriented research. Based on this finding, transdisciplinary research can be characterized as an intensive, but balanced involvement of practitioners. It incorporates not only the needs and goals of the practitioners but also their norms and values. Ideal-typical transdisciplinary research goes beyond mere consultatory research approaches and must be distinguished from what is conceptualized as applied research.
Regression analysis of 81 research projects and statistical group comparisons of the five research mode clusters show that societal and academic outputs and impacts vary with specific project characteristics and combinations of project characteristics defined as research modes. The findings indicate that more interactive research modes reach more societal impacts. In particular, the involvement of practitioners in early project phases and the targeted dissemination of the research results positively affect societal impacts. This finding also aligns with practitioner expectations on integrative research and research utilization, provided by qualitative analysis. Moreover, the quantitative results show that scientific outputs and impacts decrease with the intensity of interactions, indicating a trade-off between societal and scientific outcomes and impacts.
Overall, the empirical results of this thesis support the claimed effectiveness of transdisciplinary research in providing societally relevant, applicable knowledge and encourage further funding of transdisciplinary research by funding agencies. The relationships discovered in this study between research mode characteristics and societal as well as academic outputs and impacts can help researchers design and reflect on their research and can inform funding agencies in the design of project calls and research programs. However, the observed lower academic outputs and impacts of more integrative research modes raise the question of how to further strengthen the systematic documentation and accessibility of the results of transdisciplinary sustainability research. Additionally, the observed trade-off between societal and academic impacts of transdisciplinary research highlights the need for strategies to mediate between the dual aim of transdisciplinary research to contribute to societal problem solving and scientific knowledge production.
Keywords: transdisciplinarity, sustainability science, transdisciplinary research, societal impact, scientific impact, research mode, research evaluation
The computational analysis and the optimization of transport and mixing processes in fluid flows are of ongoing scientific interest. Transfer operator methods are powerful tools for the study of these processes in dynamical systems. The focus in this context has been mostly on closed dynamical systems and the main applications have been geophysical flows.
In this thesis, we consider transport and mixing in closed flow systems and in open flow systems that mimic technical mixing devices. Via transfer operator methods, we study the coherent behavior in closed example systems including a turbulent Rayleigh-Bénard convection flow and consider the finite-time mixing of two fluids. We extend the transfer operator framework to specific open flows. In particular, we study time-periodic open flow systems with constant inflow and outflow of fluid particles and consider several example systems. In this case, the transfer operator is represented by a transition matrix of a time-homogeneous absorbing Markov chain restricted to finite transient states. The chaotic saddle and its stable and unstable manifolds organize the transport processes in open systems. We extract these structures directly from leading eigenvectors of the transition matrix. For a constant source of two fluids in different colors, the mass distribution in the mixer and its outlet region converges to an invariant mixing pattern. In parameter studies, we quantify the degree of mixing of the resulting patterns by several mixing measures. More recently, network-based methods that construct graphs on trajectories of fluid particles have been developed to study coherent behavior in fluid flow. We use a method based on diffusion maps to extract organizing structures in open example systems directly from trajectories of fluid particles and extend this method to describe the mixing of two types of fluids.
In this chapter, we aim to present how shame, vulnerability, self-care and community care interrelate to one another and how they help build the necessary foundation for mutual care in interdependent communities, and thus for community-supported projects (CSX). Furthermore, we argue that by looking at the role of shame and vulnerability within our personal life, as we simultaneously learn to take care of ourselves, we then lay a solid foundation for learning how to support others. We then suggest that at the birthplace between healthy sustainable self-care and community care, people and communities are able to shift from a hyper-individualized lifestyle (isolation, disconnection) to a more collective community-centered approach (belonging and connection) that finally creates the perfect recipe for the creation of CSX Projects and a more inclusive and kinder economy for all.
How can CSX be applied to different industries in the cultural field? The following three subchapters discuss general problems of the cultural sector (the past), current practice examples of CSX (the present) and visions about new possibilities in this sector (the future), envisioning the progress of the sector through the implementation of CSX as an alternative economic model. This chapter explores this by using creative writing styles. While all the characters are fictional, the characterizations and the outline of the story draw from our scientific research. Our main protagonist is Quinn who studies Cultural Studies, is a volunteer in several cultural initiatives and works at a podcast studio. Planning to be done
with the Master's program in about a year, questions about possibilities of a future employment in the cultural sector are becoming more present for Quinn and their fellow students.
The concept of CSX allows us to envision how the idea of collaborative problem-solving and non-competitive change-making could be brought to life. The participation at the CSX meets Lüneburg event fueled the vision to find out more about how the CSX framework could be transferable and applicable to the consulting industry and sustainability consulting in particular. The encouraging kick-off led to the research question of: “Can sustainability consulting better fulfill its purpose in a CSX context as opposed to the conventional way?” The aims connected to this research question were to determine the status quo of community-supported approaches in sustainability consulting and to increase the visibility of existing organisations. Goals were also to find out how community-based work can lead to fruitful results in sustainability consulting. This was ought to be done by assessing the embodiment of CSX aspects in existing examples from practice.
This chapter is structured into two sub chapters, studied and written by two research-groups, titled: (1) Tales of Challenge (2) Tales of Success. The chapter concludes with a common summary of all findings. In both sub chapters the same approach was applied. Semi-structured interviews were conducted and analyzed according to Mayring (2000) to collect perspectives from practice and research. Some interviews were conducted by each research group separately and some together. Also, a method inspired by Photovoice was used to gain a deeper understanding of specific challenges and drivers in the respective projects. Inspired by the Photovoice method (Wang and Burris, 1997), interviewees were asked to share a picture and short description answering a question posed by the researchers to gain a deeper understanding of specific challenges and drivers in the respective projects. Our shared main character, Joice, will keep popping up during this chapter to share her experience.
Community Supported Economy – CSX – New entrepreneurial narratives in words, deeds, and pictures
(2023)
This book is the result of committed individuals coming together around a shared interest: community-supported (CS) entrepreneurial narratives – existing ones and those which want to be told from now onwards.
While each chapter, i.e. author collective tells different stories, what they have in common is the finding that so-called “alternatives” or solutions do not necessarily need to be invented but to be seen and experienced.
This book is an invitation to learn from practice – to learn from the emerging future – and imagine and feel into new narratives. May this book be useful to both: those of you who first get in touch with the concept of community-supported economy (CSX); and the entrepreneurs among you who want to take ‘economy’ literally. ‘Oikonomia’ originally means household management. Therefore, economy is actually an act of caretaking. Let us do take care of what lies in our hands, e.g. the transformation of economic systems, hence the way we relate to each other.
Climate change presents a major sustainability challenge to coastal social-ecological systems (SES). The integration of climate change adaptation into processes or structures for coastal governance, however, has been described as challenging. Resilience presents a suitable concept to approach this problem, as it facilitates bridging between the natural and social sciences, as well as between science and policy in an inter- and trans-disciplinary approach. The Intergovernmental Panel on Climate Change also makes use of the concept of resilience and confirms that recent literature increasingly suggests that transformative changes in SES are required to enhance their resilience to climate change. Yet, knowledge gaps still exist on how to enable effective coastal governance to enhance the climate resilience of coastal SES. To address this problem, the importance of actionable knowledge is growing in climate change adaptation, environmental governance, and broader sustainability research. Actionable knowledge refers to knowledge that contributes to solving societal problems and points to actions and processes of change. One way of generating actionable knowledge is the co-production of knowledge with societal stakeholders. Yet, knowledge gaps exist in what methods and approaches may contribute to generating actionable knowledge and what obstacles to knowledge co-production exist especially for early-career researchers (ECRs).
This dissertation contributes to research on generating actionable knowledge for coastal governance to enhance the resilience of coastal SES to climate change. It does this by providing theoretical, methodological and empirical insights on three research questions (RQs), laid out in Chapter I. These are: 1) what is a more actionable concept for applying the concept of resilience in coastal governance?; 2) what methods and approaches are suitable to generate actionable knowledge for coastal governance?; and 3) what obstacles to knowledge co-production exist for ECRs and how can they be overcome? The RQs are addressed in five publications, each presenting one chapter of this dissertation. For answering RQ1, Chapter II applies a research synthesis to bring together common themes and challenges documented in resilience, climate change and environmental governance literature. For answering RQ2, in Chapter III-V different methods and approaches for generating actionable knowledge are proposed and tested using a case-study in the SES of Algoa Bay, South Africa. These include i) the analysis of stakeholder agency as an indicator of the ability of stakeholders to act in governance processes; ii) the application of a stakeholder analysis to gain an improved understanding of the current degree of knowledge exchange for climate change adaptation; and iii) the combination of a capital approach framework, and fuzzy cognitive mapping, which shed light on the governance performance for climate change adaptation and on leverage points that can enhance climate resilience. Finally, for answering RQ3, Chapter VI provides a perspective on the obstacles that especially ECRs face, and actions that are needed to create the conditions under which knowledge co-production processes can be successful. This is done by applying a multi-method approach combining an online survey and workshop targeted at ECRs in the marine sciences.
Key findings suggest that system and transformative knowledge are particularly important when applying the concept of resilience in coastal governance to generate actionable knowledge. The different methods and approaches that are proposed and tested contribute to generating both system and transformative knowledge. Firstly, they provide an overview of the capacities of different stakeholders to act, shed light on current collaboration and knowledge exchange, and enable the identification of different governance processes for coastal governance and climate change adaptation (system knowledge). Secondly, results have implications for how to improve knowledge exchange and identify leverage points that can enhance overall governance performance, thus providing recommendations on actions and processes that can enhance climate resilience in the case-study area (transformative knowledge). It is also highlighted how knowledge co-production can contribute to generating system and transformative knowledge together with stakeholders, and what actions are needed to build the capacities to translate knowledge into action. Additionally, the findings of this dissertation put forward actions that are needed at different organisational levels of the academic system to facilitate knowledge co-production processes with stakeholders involved in coastal governance.
The results of this dissertation have implications for stakeholders and decision-making in the case-study area, as well as for environmental governance, climate change adaptation and broader sustainability research. Implications for stakeholders include recommendations for implementing formal commitments to share climate information across levels and sectors, establishing the role of information providers in the municipality, and reinforcing human capital within the local municipality in Algoa Bay. It also requires more support from the provincial government, such as addressing funding issues, offering training focusing on stakeholders with lower agency and capacities, and improving the overall availability and accessibility of climate information, as well as the priority given to climate change in the Integrated Development Plan. Findings also suggest the need for a more integrated approach to climate change adaptation in coastal planning and management frameworks. It also suggests that the conservation of environmental assets presents an important bottleneck for resilience management and needs to be further prioritised within decision-making. Implications for research include the applicability of methods beyond the context of this dissertation; a more actionable concept for approaching resilience in (coastal) governance systems that can be applied for achieving broader sustainability goals; and a more critical reflection on how transformative research is conducted, and what academic foundation is needed so that it can fulfil its societal goal.
Future research may include a combination of the methods applied in this dissertation; qualitative applications of the stakeholder network analysis; and an application of the proposed approach to other case-studies using real-world laboratories. Overall, this dissertation provides theoretical, methodological, and empirical implications and insights into pressing SES problems. It also contributes to advancing the field of transformative research for more societally relevant outcomes in face of climate change and broader sustainability challenges
Ziel dieser Arbeit ist es, empirisch gesicherte Aussagen über die schriftliche Textplanung von Mittelstufenschüler*innen beim schriftlichen Argumentieren treffen zu können. Somit wird hier das argumentative Schreiben und Planen von schriftlichen Texten von 7. Klässler*innen betrachtet und untersucht. Die Daten resultieren aus dem Forschungsprojekt !!„Fach-an- Sprache-an-Fach“!!. Im Rahmen dieses Projektes nahmen Schüler*innen der 7. Klassen von insgesamt 7 Schulen in Niedersachsen und Hamburg an einer 15-wöchigen Intervention teil, um u.a. ihre schriftlichen persuasiven Argumentationsfähigkeiten zu verbessern. In diesem Zusammenhang arbeiteten die Schüler*innen mit einem selbst entwickelten Planungstool, um argumentative Texte zu verschiedenen Aufgabenstellungen zu verfassen. In der Arbeit werden von 33 Fokusfällen die bearbeiteten Planungstools sowie die dazugehörigen argumentativen Texte in einem mehrstufigen qualitativen und quantitativen Analyseverfahren betrachtet. In dem Analyseverfahren wird u.a. mit der formal, strukturierenden qualitativen Inhaltsanalyse und mit einem gattungsspezifischen Textanalyseverfahren gearbeitet.