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Environmental governance beyond borders: Governing telecoupled systems towards sustainability
(2023)
This doctoral dissertation analyses the environmental governance of long-distance social-ecological interactions in telecoupled systems in two issue domains: global commodity chains and infrastructure projects as part of China’s Belt and Road Initiative (BRI). Although both domains involve different governance actors, institutions and processes, they both concern the question of how the involved actors develop governance structures and institutional responses to telecoupling. This dissertation aims to contribute to a deeper understanding of how to govern environmental problems that are associated with global flows. Since many multilateral environmental governance initiatives have not yet produced the desired solutions to global problems, particular attention is directed at unilateral state-led governance approaches. This dissertation addresses the questions of (1) how to achieve a spatial fit between the scale of telecoupled systems and the scale of governance institutions, (2) how governance actors exercise agency in governing telecoupled systems, and (3) how state actors can govern the domestic and foreign environmental effects of telecoupled flows. The results show that creating a spatial fit in the governance of global commodity flows is challenging because boundary and resolution mismatches can emerge. Boundary mismatches denote situations where social-ecological problems transcend established jurisdictional boundaries, whereas resolution mismatches refer to governance institutions that have too coarse a spatial resolution to allow them to address the specific aspects of social-ecological problems effectively. No single governance institution is likely to avoid all mismatches, which highlights the need to align multiple governance approaches to effectively govern telecoupled systems.
This dissertation evaluated the efficacy of three different internet-based interventions that can be regarded as indirect interventions to reduce depression since they primarily targeted risk factors for depression. For this purpose three registered randomized controlled trials were conducted. In addition to assessing the efficacy of the interventions regarding the primary outcomes, the efficacy to reduce depression and further secondary outcomes was studied. In Study I (N=200) the efficacy of an internet-based stress management intervention (iSMI), which was adapted and tailored to career starting teachers, was compared to a waitlist control group (WLG). The participants of the intervention group (IG) reported significant reductions on the primary outcome perceived stress at post-intervention (T2) and three month follow-up (3-MFU). Furthermore, it was shown that the intervention indirectly also reduced depression at T2 and 3-MFU. The effects were sustained at an extended 6-MFU. Besides efficacy, the feasibility to complement the iSMI with a newly developed internet-based classroom management training was shown. Moreover, mediation analyses corroborated the role of problem- and emotion-focused coping skills in the intervention's effect on stress and the indirect effect of the intervention on depression through stress. Study II (N=262) demonstrated the efficacy of an internet- and app-based gratitude intervention on the reduction of primary assessed repetitive negative thoughts at T2 and 3-MFU, as compared to a WLG. The participants of the IG also reported significantly reduced depressive symptoms at T2, and 3-MFU, with significant clinically meaningful effects. The effects were sustained at an extended 6-MFU. Besides efficacy, mediation analyses showed that repetitive negative thinking mediated the gratitude intervention's effect on depression. Finally, Study III N(=351) showed that an internet-based intervention, tackling worries at the beginning of the COVID-19 pandemic, was effective as compared to an active mental health advice group. At T2, two weeks after randomization, the IG reported significantly reduced levels on the primary outcome worry as compared to controls. Participants of the IG also reported significantly reduced levels of depression at T2, with significant clinically meaningful reductions. The extended follow-ups in the IG indicated that the improvements from baseline were sustained until the 2-MFU and the 6-MFU. In a mediation analysis, worry was shown to mediate the intervention's effect on depression. Across all three studies a reliable deterioration of depression was occasionally observed. In summary, the studies in this dissertation demonstrated the efficacy of various indirect interventions focusing on rather common psychological problems to indirectly reduce depressive symptoms. The extent to which depression severity could be reduced is comparable to reductions found within participants with comparable baseline depression severity, in internet-based interventions directly addressing depressive symptoms. Indirect interventions are suggested to increase the uptake of interventions that reduce depressive symptoms, since they might be perceived as less stigmatizing and might broaden the range of interventions to choose from.
Originalität, Flexibilität und Intensität zählen zu den entscheidenden Eigenschaften der zeitgenössischen Mittelschicht. Simon Roloff erfährt dies am eigenen Leib und erkundet Schauplätze der Einübung eines Habitus: Er wird zu seinem Traumjob gecoacht, improvisiert mit Managern und geht für die Ausschöpfung seiner inneren Ressourcen barfuß über glühende Kohlen. Durch einen innovativen Mix aus teilnehmenden Beobachtungen, autoethnografischen Analysen und lyrischen Montagen führt er seine Erlebnisse aus dem Fundus der Selbstverbesserung zu einem kritischen Paradigma der Gegenwart zusammen – und erzählt dabei eine Mikrogeschichte der Implementierung von klassenbasierten Normen am Subjekt.
Dass die Gleichberechtigung von Menschen ebenso wie die Würde eines jeden Menschen etwas Gutes ist - dem werden in einer demokratischen und pluralistischen Gesellschaft die meisten zustimmen können. In der praktischen Umsetzung dieser abstrakten Aussage jedoch zeigen sich Probleme. In dieser Arbeit geht es um die Herausforderung, wie die gesellschaftlich reale Vielfalt und die Ideale der Menschenrechte und der Gleichheit sprachlich umgesetzt werden können bzw. wie es gelingt, angemessene Begriffe für umstrittene Sachverhalte zu finden. Diskriminierungssensible Sprache im Sinne dieser Arbeit ist eine Sprache, die sich bemüht, Minderheiten, nichtprivilegierte Personen und Standpunkte zu erkennen, zu achten und angemessen zu berücksichtigen. Sie könnte auch als gerechte Sprache, Sprache der Vielfalt und Gleichheit, menschenfreundliches oder "anerkennungsorientiertes Sprechen" bezeichnet werden. Hinsichtlich der Bemühungen um sprachliche Umsetzung sozialer Gerechtigkeit ist in unserer Gesellschaft ein oft heftig geführter Streit entbrannt. Auf der einen Seite wollen Gruppen, die bisher wenig Gehör fanden, Ungleichheiten z.B. aufgrund der geschlechtlichen oder ethnischen Zuschreibungen nicht mehr akzeptieren und verlangen von ihren Mitmenschen, dass dies u.a. in der Art, wie über und mit ihnen gesprochen wird, zum Ausdruck kommen möge. Auf der anderen Seite möchten viele die alten sprachlichen Regeln und Gewohnheiten beibehalten. Sie empfinden neue Wortschöpfungen als überflüssig oder falsch
The research described in this dissertation focuses on developing a process to remove oligomers and suppress their formation by intercepting the aging procedure's precursors using adsorbents when biodiesel and its blends are used as fuel. So far, there has been no attempt to cause the stabilization of biodiesel and its blends using adsorbents from open literature. This investigation is one of the first studies on the use of adsorbents to mitigate biodiesel and diesel fuel's stability behavior–biodiesel blends and the removal of oligomers or suppressing the formation of high molecular mass species in aging oil. This study's primary aim has been achieved by several experimental measurements that provided results on adsorbents' effecton fuel oxidative stability, especially ester-based fuel like biodiesel and its blends. The chemical composition and some critical rheological analyses of the samples have been measured to understand their role in the oxidation of the sample by comparing the presence and absence of the adsorbents during the aging process. Furthermore, it aims to use adsorbents to suppress oligomers' formation and remove them in aging oil due to the influence of biodiesel and its blends. The research project also seeks to stabilize fuel, especially ester-based fuel like biodiesel, and its blends using the adsorbents. The adsorbents' application will enhance biodiesel's oxidative stability and its blends during long-term storage or application, focusing on its use in plug-in hybrid vehicles, emergency power plants,and generators. The combustion engine only starts in plug-in hybrid vehicles if the battery cannot supply energy on longer journeys. As a result, the fuel remains longer in plug-in hybrid vehicles. Fuels that are exposed to heat and oxygen over anextendedperiod can form aging products. These aging products lead to the formation of deposits, especially in the case of diesel fuels mixed with biodiesel content,and can, therefore, endanger the operational safety of the vehicle in critical components such as injectors or filter units.
In dieser Masterarbeit wird die Online-Befragung von Berufsschullehrern in Hamburg als explorative Methode gewählt, um Einblicke in die aktuelle Situation an Berufsschulen zur Förderung von "Kompetenzen in der digitalen Welt" bei Auszubildenden zu Kaufleuten für Büromanagement zu erhalten. Das Hauptziel ist es, die vorhandenen Chancen und Herausforderungen bei der Förderung genannter Kompetenzen bei den Schülern zu identifizieren und zu analysieren. Diese Arbeit interessiert sich außerdem für einen umfassenden Einblick in die Praktiken, Herausforderungen und Bedarfe an der Berufsschule im Zusammenhang mit der Förderung von digitalen Kompetenzen. Dafür werden verschiedene Theorien aus der Medienpädagogik zusammengefasst und deren Relevanz für die gegenwärtige Berufliche Bildung herausgestellt. Es wird sich mit verschiedenen Einflussfaktoren der digitalen Welt auf den (Berufs-)Schulunterricht auseinandergesetzt. Des Weiteren wird die Entstehungshistorie der Kultusministerkonferenz (KMK)-Strategie "Bildung in der digitalen Welt" nachvollzogen. Damit soll die theoretische Basis zur Beantwortung der Frage gelegt werden, inwiefern "Kompetenzen in der digitalen Welt" in der Beruflichen Bildung in Hamburg gefördert werden. Diese grundsätzliche Fragestellung wird anhand von empirischen Datenmaterial hinsichtlich der Förderungsabsichten beantwortet. Gerade vor dem Hintergrund der technologischen Entwicklungen der letzten Jahrzehnte mit "Kompetenzen in der digitalen Welt" als entscheidenden Schlüsselqualifikationen möchte die vorliegende Arbeit durch die erzielten empirischen Ergebnisse zur aktuellen Diskussion über die Förderung digitaler Kompetenzen bei Auszubildenden beitragen und bietet Handlungsempfehlungen für die Praxis. Indem mit dieser Arbeit das Verständnis für die bestehenden Chancen und Herausforderungen erweitert wird, können bildungspolitische Maßnahmen entwickelt werden, um den Anforderungen der digitalen (Arbeits-)Welt gerecht zu werden.
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, the study proposes that though initially, participants respond to the intervention, there is a hypothesized second diminishing effect of an intervention. However, the study suggests that on top, there is a third effect. 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, the thesis proposes 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 effect, while a person’s overall steps remained constant, third effect (Klasnja et al., 2019). The study incorporates a habituation mechanism from learning theory that can account for the immediate diminishing effect. 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, the study uses 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. The study runs a Bayesian estimation with Stan in R. Additional validation tests are needed to estimate the accuracy of the model for different 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.
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. 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 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, the authors consider transport and mixing in closed flow systems and in open flow systems that mimic technical mixing devices. Via transfer operator methods, They study the coherent behavior in closed example systems including a turbulent Rayleigh-Bénard convection flow and consider the finite-time mixing of two fluids. They extend the transfer operator framework to specific open flows. In particular, they 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. The authors 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, they 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. They 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.