Open Access

In response to the globally increasing environmental, social, and economic crises, we as humanity must leave the path of business as usual and learn new ways to know, think, and act which may enable us to build a more sustainable future for all. In their role as facilitators, teachers in general are considered one, if not the most important, factor for successful learning. The implementation of education for sustainable development (ESD) across all education systems and preparing students to act as future change agents and lead the societal transformation towards sustainability also largely depends on competent and committed teachers. Correspondingly, the focus of political agendas and scientific research increasingly shifts to the effective education of educators. The different competence models that are currently being discussed in the international discourse around teacher education for sustainable development (TESD) suggest various sets of intended learning outcomes (ILOs). Yet, they usually share the assumption that teachers require ESD-related knowledge, pedagogical skills, and motivation to successfully implement ESD at the school level. In accordance with the concept of ESD-specific professional action competence (Bertschy et al., 2013), educational offers in ESD for pre-service teachers should also develop their content knowledge (CK), pedagogical content knowledge (PCK) as well as a positive attitude towards ESD. However, in the sense of a comprehensive construct, this concept has not yet been operationalized or measured. Furthermore, there is still a lack of deeper understanding as to how to best design individual courses as teaching and learning environments in TESD in order to support competence development in student teachers. Based on a dual case study, this cumulative dissertation investigates how individual ESD courses, as part of the teacher education programs at Leuphana University in Lüneburg/ Germany and Arizona State University (ASU) in Tempe/USA, actually foster students’ ESD-specific professional action competence. Furthermore, this work sheds light on the link between learning processes and outcomes, to reveal which factors actually affect the achievement of ILOs and competence development. The findings of this study indicate that both courses under investigation eventually live up to their role and increased student teachers’ competence and commitment to implement ESD in their future careers; yet, mainly due to their different thematic foci, to varying degrees. Additionally, the four Cs (personal, professional, social, and structural connections) were revealed as significant factors that support students’ learning and should be considered when planning and designing course offerings in TESD, with the goal of developing students’ knowledge, skills, and attitudes.

Das Bildungskonzept Bildung für nachhaltige Entwicklung (BNE) gilt als Schlüsselfaktor für eine nachhaltige Entwicklung. Durch die Entwicklung von Schlüsselkompetenzen sollen Menschen dazu befähigt werden, aktiv an der Gestaltung von Gegenwart und Zukunft im Sinne einer nachhaltigen Entwicklung zu partizipieren. Die Stärkung der Kompetenzen von Multiplikatorinnen und Multiplikatoren und somit Lehrkräften als Gestalterinnen und Gestalter formaler Bildung ist ein Ziel auf dem Weg zu einer inklusiven, qualitativ hochwertigen Bildung für alle und zur Befähigung aller, eine nachhaltige Entwicklung zu unterstützen. Es gilt, im Verlauf der Lehrkräftebildung Möglichkeiten zu schaffen, die Entwicklung relevanter Kompetenzen gezielt zu unterstützen, um effektivere Ergebnisse im Bereich BNE zu erreichen. Für den universitären Teil der Lehrkräftebildung geht dies einher mit einer entsprechenden Gestaltung von Lernumgebungen, durch die angehende Lehrkräfte relevante Kompetenzen zu Beginn ihres individuellen Bildungsweges entwickeln können. Darüber hinaus sollen durch entsprechende Fort- und Weiterbildungsformate auch bereits im Schuldienst tätige Lehrkräfte erreicht werden. Das als transdisziplinäres Format angelegte Entwicklungsteam Sachunterricht, bestehend aus Sachunterrichtslehrkräften, Vertreterinnen und Vertretern außerschulischer Bildungsorte und Forschenden der Universität, bildet den Ausgangspunkt dieser Arbeit. Die vorliegende Arbeit fokussiert die Untersuchung von Möglichkeiten der Professionalisierung von (angehenden) Lehrkräften zu BNE im Kontext des Entwicklungsteams. Dazu wurde zunächst theoretisch-konzeptionell der Frage nachgegangen, welche Kompetenzen relevant für die Integration von BNE in Schule und Unterricht sind und wie Lehr-Lernsettings gestaltet werden sollten, um die Entwicklung entsprechender Kompetenzen zu unterstützen. Im Rahmen zweier empirischer Studien wurde anschließend einerseits die Kompetenzentwicklung seitens der Studierenden analysiert, die an einem durch das Entwicklungsteam begleiteten Seminar teilnahmen. Andererseits liegt der Fokus auf dem spezifischen Format des transdisziplinären Entwicklungsteams und es wurde untersucht, inwiefern wechselseitiges Lernen zwischen den Entwicklungsteammitgliedern initiiert werden und dies in einer Veränderung der pädagogischen Praxis resultieren kann. Aufgrund seiner hohen Anschlussfähigkeit an den bildungswissenschaftlichen Diskurs wurde das Modell der BNE-spezifischen professionellen Handlungskompetenz den konzeptionellen Überlegungen und den darauf aufbauenden empirischen Untersuchungen zugrunde gelegt. Die Gestaltung eines Lehr-Lern-Settings für angehende Lehrkräfte mit dem Ziel der Förderung entsprechender Kompetenzen wurde anhand des Konzepts der offenen Lernumgebung vorgenommen. Die Ergebnisse zeigen zum einen, dass das in enger Zusammenarbeit mit dem Entwicklungsteam als offene Lernumgebung durchgeführte Seminar die Professionalisierung der Studierenden unterstützt und der Aufbau von (BNE-spezifischer) professioneller Handlungskompetenz durch kollaboratives Gestalten in Kooperation mit der Praxis ermöglicht wird. Zum anderen zeigt sich, dass die transdisziplinäre Zusammenarbeit ein wechselseitiges von- und miteinander Lernen zu BNE im Entwicklungsteam Sachunterricht fördert und Professionalisierungsprozesse sowohl seitens der Lehrkräfte als auch des außerschulischen Akteurs zumindest in einigen Bereichen angestoßen wurden. Ein zusätzliches Diffusionspotential für den Praxistransfer von BNE konnte in Hinblick auf das im Seminar entwickelte und an den Schulen integrierte Unterrichtsmaterial identifiziert werden. Zudem konnten im Verlauf des Seminars wechselseitige Lernprozesse zwischen Studierenden und Entwicklungsteammitgliedern initiiert werden, was die Möglichkeit eines weiteren, bisher weitestgehend unbeachteten Transfers von Innovationen wie BNE in die schulische Praxis birgt.

Der Kern dieser Arbeit richtet sich auf die Frage, ob und in welcher Form Bildungsungerechtigkeiten an niedersächsischen Hochschulen während der Corona-Pandemie bestehen oder auch verstärkt wurden. Die Forschungsfrage lautet: „Welche Herausforderungen erlebten niedersächsische Studierende durch die Corona-bedingten Umstellungen des Hochschulalltags?“ Um dieser Frage nachzugehen, wurden Hypothesen zur Frage der bestehenden sozialen Ungerechtigkeit zwischen Studierenden, der Auswirkung auf die finanzielle Situation und der Teilhabe an digitaler Lehre aufgestellt. Um diesem Schwerpunkt gerecht zu werden, wurde zunächst anhand bekannter empirischer Berichte, wie dem KMK Bildungsbericht, der Sozialerhebung des Studentenwerks und dem Hochschulreport des Stifterverbands, der Vor-Corona-Zustand erörtert. Zur Betrachtung der Situation der niedersächsischen Studierenden wurde eine quantitative Umfrage mit folgendem Titel durchgeführt: „Digitale Lehre unter Corona-Bedingungen in Niedersachsen“. Im Zeitraum vom 12.08.2020 bis 12.09.2020 haben insgesamt 2317 Studierende aus Niedersachsen teilgenommen. Im Laufe der Arbeit und der Auswertung der Umfrage konnten Tendenzen und auch belastbare Erkenntnisse für die positive Beantwortung der Annahmen erörtert werden. Diese Ergebnisse legen dar, dass der Handlungsbedarf in diesem Feld deutlich größer als vor der Pandemie ist. Die bestehenden Hilfen haben Studierende bisher nicht in ausreichendem Maße erreicht und die Abbrechendenquote könnte steigen. Die Grundlage für eine gerechtere Gesellschaft liegt im Vorhandensein von Bildungsgerechtigkeit und dem Zugang zu Hochschulbildung. Die Corona-Pandemie stellt Studieninteressierte und Studierende hier vor zusätzliche Herausforderungen.

Diese Arbeit beschäftigt sich mit Zukunft, Narrativen und globalem Klimawandel in den zwei Bereichen Umweltwissenschaften und Science Fiction. Es werden zwei Arten dargestellt, in die Zukunft zu blicken: Einerseits werden Szenarien in den Umweltwissenschaften genutzt, um globale Modelle aufzustellen. Hierfür wird erläutert, was die Szenariotechnik ist und welche Merkmale sie hat. Andererseits werden Science Fiction und kreative Zukunftsvorstellungen diskutiert. Die beiden Themenfelder werden durch zwei Beispiele konkretisiert: Die „Shared Socioeconomic Pathways“ (SSPs) und die Anthologie „Everything Change“ (herausgegeben von Milkoreit, Martinez, Eschrich, 2016). Im Diskussionskapitel wird auf Narrative, Perspektive, Diversität, Umweltkommunikation, Komplexität und Zukunft eingegangen. Insgesamt wird das Fazit gezogen, dass die beiden Beispiele gegensätzliche Ziele haben, aber komplementäre Wirkung erzielen können. Mit einem Beispiel aus der partizipativen Forschung wird verdeutlicht, dass eine Kombination der beiden Felder dazu beitragen kann, sinnvolle Handlungsoptionen gegenüber dem Klimawandel zu entwickeln.

„Ein Gespenst geht um in Europa – das Gespenst des Kommunismus“, so beginnt das von Karl Marx und Friedrich Engels im Februar des Jahres 1848 veröffentlichte Manifest der Kommunistischen Partei. Peter Mankowski bediente sich des Zitats, indem er die Entscheidung des EuGH v. 09. Dezember 2003 – Rs. C-116/02 „Gasser/MISAT“ wie folgt kommentierte: „In Europa geht ein Gespenst um. Es ist das Gespenst des prozessualen Torpedos“. „Torpedoklagen“ sind seit vielen Jahren ein Thema im europäischen Zivilprozessrecht. Bei einer „Torpedoklage“ handelt es sich kurz gesagt um die Erhebung einer Klage vor dem Gericht eines EU-Mitgliedstaates, um damit ein Klageverfahren in einem anderen EU-Mitgliedstaat zu blockieren. Man mag darüber streiten können, wann „Torpedoklagen“ entstanden sind; zwar kam die Begrifflichkeit erst im Jahr 1997 auf, die einschlägigen Rechtsnormen existieren aber schon viele Jahre und es sind zuvor bereits zahlreiche gerichtliche Entscheidungen ergangen. Die juristische Literatur befasst sich ab dem Jahr 2003 vermehrt mit „Torpedoklagen“. ...

Water is vital for humankind and ecosystems alike. However, population growth, agricultural inten-sification, urbanization, and climate change embody potential hazards and pressures for water re-sources without existing long-term solutions. For two decades now, policy and governance literature has increasingly emphasised the role of learning in finding solutions to environmental policy prob-lems and effectively steering governance practices. Participation of non-state actors in decision mak-ing is widely considered to deliver learning products that support effective outcomes for environ-mental problems. Besides, the institutionalisation of participation through legislation opens up the necessity for (administrative) organizers to learn about participation as a governance mode in order to steer its effective working. Apart from participation, management approaches specifically aiming at driving learning, such as adaptive management (AM), are increasingly endorsed in water govern-ance. Despite the current prominence of learning in the environmental governance literature, evi-dence is lacking on which learning approaches function effectively regarding outcomes, whether participation aids learning, and how learning about successful governance arrangements is most effectively promoted. This doctoral dissertation aims to contribute to clarification of the potential of learning for water governance. The goal is to trace and understand the environmental impacts of learning through par-ticipation (research aim 1) and adaptive management (research aim 2), and the effect of learning on participation as a governance mode (research aim 3). For this goal, I engage in a predominantly qualitative research design following the case study method. For every specific research aim cases are selected and analysed qualitatively according to conceptual categories and mechanisms which are defined beforehand. Quantitative studies are used to corroborate the results for research aim 1 and 2 in a mixed-method approach to enhance the valid-ity of results. The empirical research context is European water governance, the implementation of the EU Water Framework and EU Floods Directive (WFD, FD) specifically. Eight cases of participa-tory decision-making across three European countries and five cases of AM in Northern Germany for WFD implementation are examined to identify whether learning in these processes enhanced envi-ronmental outcomes. To detect whether governance learning by public officials occurred, the design of participatory processes for FD implementation in ten German federal states is assessed. The findings of research aim 1, understanding learning through participation and its effects on water governance, reveal that participatory planning led to learning through improved understandings at an individual and group level. Learning did, however, hardly shape effective outcomes. In the AM cases (research aim 2) managers and participants of implementing networks improved their knowledge as well as capacities, and spread the results. Nonetheless, environmental improvement was not necessarily linked to ecological learning. Regarding learning about participation as a govern-ance mode (research aim 3) all interviewed public officials in German federal states reported some degree of governance learning, which emerged not systematically but primarily drawing on own experiences and intuition. These findings are condensed into three overarching lessons for learning in water governance: (1) Interactive communication seems to form the overall frame for participant and group learning. Framing of learning experiences turned out to play an important and potentially distorting role, for which professional facilitation and structured knowledge aggregation methods might be an im-portant counterbalance. (2) Learning did not automatically enhance environmental outcomes. It may thus not be an explanatory variable for policy outcomes, but a conditioning or intervening vari-able related to collective action, motivation for participation, and situating the issue at hand at wider societal levels. (3) The concepts of puzzling and powering might help understand learning as a source for effectiveness in the long-term when complemented with interest-based debates for creat-ing sufficient political agency of policy issues. Learning seen as puzzling processes might instruct acceptance and legitimization for new powering efforts. The perpetuation of learning in systematic ways and structures appears to characterize an alternative to this reflexive and strategic interplay, for which the water-related EU directives provide the basis. These insights are of practical and policy relevance, particularly for policy makers and practitioners in the pursuit of learning. They may further contribute to the academic understanding of learning in water governance and its potential contribution to transforming and adapting water governance re-gimes, as envisioned in the European water-related directives.

Eine der kolumbianischen Strategien zur Diversifizierung und Dekarbonisierung des Energiesektors ist die Förderung der Nutzung unkonventioneller erneuerbarer Ressourcen (NCRR). Zu diesem Zweck erließ die Regierung am 2014 das Gesetz 1715 zur Förderung von NCRR und Verbesserungen der Energieeffizienz in diesem Sektor. Obwohl dies vermutlich dazu beitragen wird, die internationale und nationale Verpflichtung zur Reduzierung der CO2-Emissionen um 20 % im Jahr 2030 zu erreichen, kann diese Annahme nicht auf breiterer Basis getestet werden, ohne die Umweltauswirkungen zu berücksichtigen, die solche Initiativen im Haushaltssektor, dem größten Stromverbrauchssektor in Kolumbien, haben können. In dieser Arbeit wird der Umwelt Rebound-Effekt (ERE) gemessen, wenn der Anteil der Windenergie im kolumbianischen Stromnetz im Haushaltssektor erhöht wird. Zu diesem Zweck wurden eine prozessbasierte Ökobilanz (P-LCA), ein erweitertes Umwelt-Input-Output-Modell (EEIO) und Re-spending-Modelle (nahezu ideales Nachfragesystem AIDS) verwendet. Der direkte Rebound-Effekt wurde anhand der Preiselastizität der Stromnachfrage gemessen; außerdem wurden die Umwelteinsparungen bei einer Erhöhung des Anteils der Windenergie im Netz mittels P-LCA berechnet. Zu diesem Zweck wurde eine P-LCA für einen Windpark in Kolumbien durchgeführt, während die Informationen für andere Energieressourcen (Wasser, Kohle, Gas, Solar und Wärme) aus der Ecoinvent 3.4 Datenbank entnommen wurden. Zur Berechnung des indirekten Umwelt Rebound-Effekts wurden die für die Umwelteffizienz erzielten monetären Einsparungen berechnet. Zu diesem Zweck wurde eine AIDS-Methode angewandt, um die marginalen Budgetanteile (MBS) zu erhalten. Durch Kombination der ermittelten MBS mit dem EEIO-Modell wurden die monetären Einsparungen in Umweltindikatoren umgerechnet. Der ERE wird für zehn Wirkungskategorien dargestellt (Klimawandel (CC), Versauerung (A), Ökotoxizität (E), marine Eutrophierung (MEUT), terrestrische Eutrophierung (TEUT), karzinogene Wirkungen (CE), nicht karzinogene Wirkungen (NCE), Abbau der Ozonschicht (OD), photochemische Ozonbildung (POC) und anorganische Wirkungen auf die Atemwege (RES)). Darüber hinaus wurde eine empfindliche Analyse durchgeführt, um die Variabilität der ERE bei verschiedenen Werten des direkten Rebound-Effekts und verschiedenen Prozentsätzen der Preiseffizienz zu messen. Die Ergebnisse zeigen, dass die Einbeziehung des Umwelt Rebound-Effekts im Allgemeinen eine nicht vernachlässigbare Auswirkung auf die gesamten Umweltindikatoren in allen untersuchten Jahren hat. Diese Auswirkungen reichen von 5 % (Eutrophierung) bis 6,109 % (Bildung photochemischer Oxidantien) für das kombinierte Modell, während die Werte für das Einzelmodell zwischen 1 % (Eutrophierung) und 9,277 % (Bildung photochemischer Oxidantien) liegen. Eine Sensitivitätsanalyse der Preiselastizität des Stroms und des Strompreises zeigt außerdem, dass die ERE auf unterschiedliche Weise variiert, d.h. Änderungen dieser Parameter könnten die Auswirkungen um bis zu <1% bzw. 38% verändern. Backfire-Effekte sind für 8 der 10 untersuchten Umweltauswirkungen in unterschiedlicher Größenordnung über die Jahre hinweg vorhanden, was im Wesentlichen von den für Re-Investitionen verfügbaren Einsparungen abhängt. Schlüsselwörter. Umwelt-Rebound-Effekt, Verbesserung der Umwelteffizienz, nicht-konventionelle erneuerbare Ressourcen, LCA, STIRPAT.

The global food system faces many complex challenges, and there is general agreement that a transformation is needed. While localizing food has been proposed as a means to this end, changing global food supply chains may also lead to sustainable food systems. Because most food systems today have an international dimension and are likely to remain connected, on one way or another, to other ones across the globe, it is necessary to find solutions to problems such as exploitation or environmental degradation. Current approaches such as Fairtrade certification often result, however, only in incremental change, and it is not clear how the current system could be transformed to make it sustainable. Addressing this challenge and the related gap in the literature, this study examines the emerging practices of small intermediary food businesses, which act between agricultural producers and consumers, and may have the potential to advance sustainability in international food supply. Including a systematic review of the literature on food systems change (Study#1), this dissertation adopts a transformational sustainability research methodology, which is solutionoriented, aims to integrate system, target and transformation knowledge, and is characterized by a transdisciplinary research practice. It conceptualizes challenges of international food supply and empirically investigates entrepreneurial solution approaches to address these challenges (Study#2). Two transdisciplinary research projects with small coffee businesses located in Germany, Mexico, and the U.S. were conducted to examine how these approaches could be implemented (Study#3, Study#4, Workshop reports 1+2). This study shows that challenges in international food supply chains can be conceptualized as negative effects of large geographical and relational distances. It also identifies five entrepreneurial solution approaches specified by twelve sustainability-oriented design principles to address these negative effects. Creating relational proximity between supply chain actors, that is, strong relationships based on knowledge and care, seems to be a key factor to advance sustainability in international food supply.The results also suggest that by building such strong relationships and changing the fundamental principles of international food trade (e.g. putting people before profits), small intermediary businesses could be important agents in food system transformations. The findings also highlight the importance of collaboration with peers in local networks, in which new sustainable business practices could be shared and disseminated. Transdisciplinary collaborations involving both researchers and small food businesses could result in innovative solutions and, ultimately, a transformation of food systems. Although the small-sized businesses examined here are already highly committed to sustainability, this study has important implications for researchers and practitioners, including individual entrepreneurs, who aim to advance sustainability in international food supply.

Summary Since the early 2000s, ecosystem services strongly gained significance as a research topic. While the number of papers strongly increased, the concept was further developed which changed the way it was applied. From highlighting the value of ecosystems by viewing them not only from an ecological, but also from an economic perspective in the beginning, it is nowadays, among others, used to map and calculate the monetary value of ecosystem services. Lately, the International Panel on Biodiversity and Ecosystem Services (IPBES) further developed the concept into Nature’s contributions to people (NCP) which puts a stronger emphasis on stakeholders and indigenous knowledge. However, so far none of the conceptual developments managed to integrate the temporal dimension of ecosystem services into this concept, although this should be the basis for a sustainable long-term management of ecosystems and their services. Therefore, I present three articles in this thesis that deal with temporal aspects of ecosystem services. In two of them I also present a proposal for a framework for the classification of ecosystem services based on their temporal dynamics. In this dissertation I differentiate between two types of temporal aspects, both of which have in common that change takes place over a certain period of time. The concepts of transformation, transition and regime shift are used to describe changes in social or ecological systems as a whole, for example the transformation towards a more sustainable society. The temporal dynamics that I present, on the other hand, relate to the temporal changes in ecosystem services themselves. The first article focuses on how the literature on ecosystem services incorporates social and ecological change, illustrated by the concepts of transformation, transition, and regime shift. The second and third articles deal with the temporal dynamics of ecosystem services. While the second article presents a preliminary framework for categorizing the temporal dynamics of ecosystem services, the third article uses this framework to test how the temporal dynamics of ecosystem services are represented in the literature. Based on the insights from the three articles, I conclude that most of the studies on ecosystem services only focus on one point in time. One reason for this is that most studies are conducted over a maximum of a four-year time span which does not allow to monitor dynamics over longer time spans. In most articles that do account for temporal aspects, the focus is strongly on the side of ecological supply of ecosystem services rather than on the demand-side which leads to the exclusion of stakeholder perceptions and therefore, makes it impossible to connect ecosystem service demand and supply over time. Moreover, the concept of change that is used most often in the literature is that of regime shifts which comes from a purely ecological background and focuses mostly on changes that happened in the past. This neglects the possibility of change towards a positive outcome in the future. In general, there is a strong disciplinary divide in the concepts and terminology used. This leads to a lack of exchange between different scientific disciplines and non-academic stakeholders. Approaches that are needed to solve problems of ecosystem service management are therefore impeded. To enable future research to better account for temporal aspects and connect supply and demand sides of ecosystem services with each other, I give four recommendations for future research. These are (I) take temporal dynamics into account by conducting long-term research, (II) ensure conceptual clarity, (III) create a solution-oriented agenda and (IV) take the demand side into account by involving stakeholders’ perceptions over time. By following these recommendations, future research could help to support the sustainable management of ecosystem services as dynamics will be better known and targeted measures can be implemented.

Mental health is an important factor in an individuals’ life - more than 300 million individuals suffered from depression in 2015. Online-based interventions have been developed for the treatment of various mental disorders. These types of interventions have proven their efficacy and can lead to positive outcomes for suffering patients. During these interventions, a large amount of patient-specific data is gathered that can be utilized to increase treatment outcomes by informing decision-making processes of psychotherapists, experts in the field, and patients. The articles included in this dissertation focus on the analysis of such data collected in digital psychological treatments by using machine learning approaches. This dissertation utilizes various machine learning methods such as Bayesian models, regularization techniques, or decision trees to predict different psychological factors, such as mood or self-esteem, dropout of patients, or treatment outcomes and costs. These models are evaluated using a variety of performance metrics, for example, receiver operating characteristics curve, root mean square error, or specialized performance metrics for Bayesian inference. These types of analyses can support decision- making for psychologists and patients, which can, in turn, lead to better recommendations and subsequently to increased outcomes for patients and simultaneously more insight about the interplay between psychological factors. The contribution of this interdisciplinary dissertation is manifold and can be classified at the intersection of Information Systems, health economics, and psychology. The analysis of user journey data has not yet been fully examined in the field of psychological research. A process for this endeavor is developed and a technical implementation is provided for the research community. The application of machine learning in this context is still in its infancy. Thus, another contribution is the exploration and application of machine learning techniques for the revelation of correlations between psychological factors or characteristics and treatment outcomes as well as their prediction. Additionally, economic factors are predicted to develop a process for treatment type recommendations. This approach can be utilized for finding the optimal treatment type for patients on an individual level considering predicted treatment outcomes and costs. By evaluating the predictive accuracy of multiple machine learning techniques based on various performance metrics, the importance of considering heterogeneity among patients’ behavior and affect is highlighted in some articles. Furthermore, the potential of machine learning-based decision support systems in clinical practice has been examined from a psychotherapists’ point of view.

This dissertation, entitled “How to Embed Sustainability in the Core of Higher Education Institutions: Drivers of, Barriers to, & Patterns behind the Implementation Processes of Sustainability Curricula – Insights from a Quantitative Meta-Study with Data from around the Globe,” addresses the question of how sustainability curricula1 can be implemented and established in higher education institutions2. This research question is based on the assumption that sustainable development requires new ways of thinking and acting in the world. Accordingly, universities – as hubs for knowledge generation, innovation, and education – provide a central leverage point for sustainably developing society at large. Therefore, the institutionalization of sustainability curricula is not only socially demanded, but also stipulated in numerous political statements from the international community (e.g., those of the UN and UNESCO) and operationalized via Sustainable Development Goal No. 4: “Quality Education”. Previous findings on how such implementation can be successful and what factors support or inhibit the process have come primarily through case studies of individual higher education institutions. These studies provide important insights but have been largely descriptive rather than analytical and leave open questions about the generalizability of their findings – for example, the extent to which other universities can be guided by the experiences of the respective higher education institutions. The present dissertation addresses this research gap. Through a meta-study (i.e., an analytical comparison of existing case studies), generalizable findings on the implementation processes of sustainability curricula are explored. In the first step, a case universe was collected in order to provide a database for deeper analyses. In two further analysis steps that built on the case universe from Step 1, certain factors that promote or inhibit the implementation of sustainability curricula (Step 2) and specific implementation patterns (Step 3) were examined. The following paragraphs provide greater details and an overview of the respective findings. In the first step, a database of peer-reviewed English-language case studies from around the globe that report on such processes was created. A total of 230 case studies were identified, 133 of which focus on the implementation processes of sustainability curricula.3 A bibliometric analysis of the 230 case studies revealed that this field of research is growing, although the discourse is primarily dominated by authors from North America, Europe, Oceania, and Asia, with South America and Africa being underrepresented. In addition, a citation analysis demonstrated that some universities incorporate findings from other countries whereas other universities act in isolation. This observation leaves open the question of the extent to which universities learn from one another in order to advance the implementation of sustainability curricula. In the second step of the analysis, the qualitative data of the collected case studies (sample of 133 case studies) were compared using the case survey method, which is a specific type of a meta-1 Sustainability curricula include courses, programs, and certificates from all fields of study that deal in some form with sustainability topics. For a more-detailed discussion of what education for sustainable development (ESD) entails, see Section Error! Reference source not found.. 2 Higher education institutions (HEIs) include universities, universities of applied sciences, and other institutions that offer at least a bachelor’s degree. 3 A detailed explanation of the case sample and subsamples can be found in Section Error! Reference source not found.. analysis. The focus of the comparison lay on the drivers of and barriers to the processes of sustainability curriculum implementation at higher education institutions. Driving- and inhibiting factors have been thoroughly examined theoretically in the discourse on education for sustainable development (ESD), especially those pertaining to higher education institutions. However, no large body of data has yet been created to empirically test these hypotheses. The present meta-study found that the following factors lead to the deep-rooted and comprehensive establishment of sustainability curricula: strong leadership support; the establishment of sustainability curricula in the areas of education, research, campus operations, and outreach activities; formal participation of internal (including students) and external stakeholders; and engagement by sustainability champions (change agents), who are often the first to implement sustainability curricula and can face strong resistance. Other enabling factors include strategic planning, coordination, communication, having a vision, external political influence, the presence of a window of opportunity (e.g., an environmental disaster, a change in presidency), and the availability of interdisciplinary meeting spaces. On the other hand, the strongest cited barriers to the implantation of sustainability curricula were found to be the lack of interdisciplinary meeting spaces, the lack of a vision, the lack of incentives, the lack of resources, an overly full curriculum, and an unsupportive / overly bureaucratic organizational structure. The third step of the analysis also built on data from the 133 case studies and explored whether certain types or patterns of implementation processes occur. Through the analysis, six implementation patterns were identified that share similar driving- and inhibiting factors. The respective interplay between factors leads to various degrees of sustainability curriculum implementation in terms of how deeply rooted and comprehensive this implementation is. As discussed in greater detail below, in descending order of the level of achieved deep-rooted change, these patterns are (1) a collaborative paradigm shift, (2) bottom-up institutional change, (3) top-down institutional change, (4) the presence of many barriers that hinder institutional change, (5) externally driven initiatives, and (6) initiatives that are scattered due to a lack of coordination. Across all patterns, two phases could be identified: First, the impetus to implement ESD may be initiated not only by internal actors, but also by external ones. This initiation can take hold from the “bottom-up” (i.e., by students or faculty), from the “top-down” (i.e., at the presidential level), or in both directions simultaneously. The following key factors appear to be important in driving the initial implementation forward: a culture of open communication between all stakeholders in which feedback and reflection are welcome and even actively solicited, the development of a shared understanding and vision that further create a sense of ownership and long-term success, a high level of collaboration among all stakeholders, and existing initiatives that lead to knowledge sharing and other resources. In this regard, informal collaboration and cooperation can partially compensate for a lack of presidential-level support and/or a formal communication structure. Furthermore, developing a strategy with individual steps and shared responsibility leads to more-successful implementation of ESD at higher education institutions. The presented findings add a complementary empirical perspective to the discourse on the establishment of ESD at higher education institutions. First, the case studies that specifically address the implementation processes of sustainability curricula are reviewed and analyzed here for the first time as part of a research landscape. This research landscape reveals where research on such implementation processes has been or is being conducted. On this basis, both researchers and funders can reflect on the status quo and plan further research- or funding endeavors. Second, this dissertation offers the opportunity to compare a multitude of individual case studies and thus to develop new and generalizable insights into the implementation of sustainability curricula. The empirical analysis uses 133 case studies to identify key factors that promote or inhibit the implementation of sustainability curricula and to add a complementary perspective to the discourse, which has thus far been dominated by theoretical considerations and individual case studies. The analysis thereby offers a new perspective on generalizable influencing factors that appear to be important across different contexts. Thus far, specific patterns of implementation processes have been infrequently studied, and with few datasets. This dissertation analyzes the complex interplay between over 100 variables and provides one of the first research attempts at better understanding the processes that lead to the deep-rooted and comprehensive implementation of sustainability curricula. Internal and external practitioners of higher education institutions can find examples and evidence that can be useful in planning the next steps of their sustainability curriculum implementation. In the future, higher education institutions will play an even greater role in the journey toward sustainable development. This dissertation offers generalizable empirical findings on how universities can succeed in recognizing their own responsibility to that end and in realizing this transformation through the implementation of ESD.

This cumulative dissertation investigates food policy councils (FPCs) as potential levers for sustainability transformation. The four research papers included here on this recent phenomenon in Germany present new insights regarding the process of FPCs’ emergence (Emergence paper), the legal conditions which affect their establishment (Legal paper), the different roles of FPCs in policy-making processes (Roles paper) and FPCs’ potential to democratise the food system (Food democracy paper). Drawing on and contextualizing the results of the four individual studies, the framework paper uses the leverage points concept originally developed by Meadows (1999) and adopted by Abson et al. (2016) as a lens to discuss FPCs’ potential as levers for sustainability transformation. This conceptual background includes three so-called realms of leverage, which are considered to be of particular importance in transformational, solution-oriented sustainability science: first, the change, stability and learning in institutions (re-structure), second, the interactions between people and nature (re-connect) and third, the ways in which knowledge is produced and used (re-think). Framing the findings of the four research papers in terms of these three realms, the framework paper shows that FPCs could serve as cross realm levers, i.e. as interventions that simultaneously address knowledge production, institutional reform and human-nature interactions.

Die Forderung nach sprachbildendem Fachunterricht ist aktueller denn je. Deshalb stellt sich die Frage, welche Kompetenzen (Fach-) Lehrkräfte benötigen, um dies leisten zu können und wie sie diese in ihrer Aus- und Weiterbildung erwerben können (Baumann, 2017; Köker, 2018). Zwar gibt es Empfehlungen für die Lehrkräftebildung, jedoch ist die Ausbildungslandschaft im Bereich Deutsch als Zweitsprache (DaZ) deutschlandweit und universitätsabhängig sehr heterogen (Gantefort & Michalak, 2017). Um Aussagen über benötigte Kompetenzen treffen zu können, müssen diese messbar gemacht werden. Wissensfacetten im Bereich DaZ können mit einem Paper-Pencil-Test erfasst werden. Um Handlungsfacetten erfassen zu können, wird eine Testumgebung benötigt, die der Komplexität von Unterricht möglichst gerecht wird, weshalb sich Paper-Pencil-Tests dafür nicht eignen (Blömeke, König et al., 2015). Dem Kompetenz-als-Kontinuum-Modell (Blömeke, Gustafsson & Shavelson, 2015) folgend, widmet sich diese Arbeit der Entwicklung eines videobasierten Testinstruments mit einem mündlichen Antwortformat, um so performanznah DaZ-Kompetenz zu erfassen. Folgende Forschungsfragen werden in dieser Dissertation untersucht: 1.) Inwieweit können eine ausreichende psychometrische Qualität und eine dimensionale Struktur des Testinstruments festgestellt werden? 2.) Inwieweit kann performanznahe DaZ-Kompetenz bei (angehenden) Lehrkräften festgestellt werden? 3.) Wie hängen individuelle und akademische Hintergrunddaten der Proband*innen, DaZ-bezogene Lerngelegenheiten, Überzeugungen zu sprachlich-kultureller Heterogenität in Schule und Unterricht oder Persönlichkeitsmerkmale mit performanznaher DaZ-Kompetenz zusammen? Das Rahmenpapier bettet die vier Artikel in den übergeordneten theoretischen Kontext ein, diskutiert die Ergebnisse und leitet abschließend Empfehlungen für weitere Forschung und für die Lehrkräftebildung ab.

Motivation: Maximizing the value from data has become a key challenge for companies as it helps improve operations and decision making, enhances products and services, and, ultimately, leads to new business models. The latter two have been investigated by scholars as part of an emerging research field on data-driven business model innovation. While enterprise architecture (EA) management and modeling have proven their value for IT-related projects, the support of enterprise architecture for data-driven business models (DDBMs) is a rather new and unexplored field. We argue that the current understanding of the intersection of data-driven business model innovation and enterprise architecture is incomplete because of five challenges that have not been addressed in existing research: (1) lack of knowledge of how companies design and realize data-driven business models from a process perspective, (2) lack of knowledge on the implementation phase of data-driven business models, (3) lack of knowledge on the potential support enterprise architecture modeling and management can provide to data-driven business model endeavors, (4) lack of knowledge on how enterprise architecture modeling and management support data-driven business model design and realization in practice, (5) lack of knowledge on how to deploy data-driven business models. We address these challenges by examining how enterprise architecture modeling and management can benefit data-driven business model innovation. Research Approach: Addressing the challenges mentioned above, the mixed-method approach of this thesis draws on a systematic literature review, qualitative empirical research as well as the design science research paradigm. We conducted a systematic literature search on data-driven business models and enterprise architecture. Considering the novelty of data-driven business models for academia and practice, we conducted explorative qualitative research to explain “why” and “how” companies embark on realizing data-driven business models. Throughout these studies, the primary data source was semi-structured interviews. In order to provide an artifact for DDBM innovation, we developed a theory for design and action. The data-driven business model innovation artifact was inductively developed in two design iterations based on the design science paradigm and the design science research framework. Contribution: This thesis provides several contributions to theory and practice. We identified a clear gap in previous research efforts and derived 42 data-driven business model-related EA concerns. In order to address the identified literature gap, we provide empirical evidence for data-driven business model innovation. Four pathways of data-driven business model design and realization were identified. Along these pathways, an overview of EA application areas was derived from the empirical and theoretical findings. With the aim of supporting practitioners in data-driven business model innovation, this thesis was concerned with the development of a reference model. The reference model for data-driven business model innovation provides a broad view and applies enterprise architecture, where appropriate. This thesis provides five recommendations for practitioners realizing data-driven business models that address the demand for support in data-driven business model innovation. Limitations: Several limitations must be considered. We acknowledge the threat to validity based on the fact that the thesis was written over the span of two years. As DDBMs are an emerging phenomenon in the literature, our thoughts on the underlying concepts have also evolved. Our ideas evolved to include a wider range of literature, different terminology, and a broader empirical foundation. We have gathered and analyzed the extended literature on EA and DDBM interconnectivity. However, the selection of keywords restricts the set of results. The data stem from a limited number of organizations and industries; thus, our conceptual developments need further testing to ensure generalizability. Future Research: This thesis suggests several fruitful research avenues. Complementing the current concepts with additional data and quantitative research methods could address the existing threats to validity. A deeper understanding of data-driven business model innovation pathways, in the light of the detailed methods per pathway, would enhance the knowledge on this topic. Future research could focus on conducting additional design cycles for the data-driven business model innovation reference model. It would be interesting to enrich the findings of this thesis with quantitative data on correlations in data-driven business model innovation and enterprise architecture support. Furthermore, investigating a single case study and exploring new application fields of enterprise architecture in the data-driven business model innovation context would benefit research and practice would benefit.

Die fortschreitende Aktivierung vieler Lebensbereiche (Lessenich 2013) führt zu einer gezielten Nutzbarmachung von menschlichen Ressourcen. Dies gilt speziell für die Ressourcen von Frauen und Kindern. Auch der Ausbau der Kindertagesbetreuung, der u.a. durch das Kinderförderungsgesetz (KiföG) realisiert wurde, kann in diesem Kontext gesehen werden. Diese Perspektive einnehmend sollen Frauen möglichst schnell nach der Geburt eines Kindes wieder arbeiten gehen können. Die Ressourcen von Mädchen und Jungen sollen u.a. durch frühkindliche Bildung, Betreuung und Erziehung möglichst gut entwickelt werden, damit sich sowohl ein individueller als auch ein gesamtgesellschaftlicher Nutzen einstellt. Ausgehend von einem sozialpädagogisch-sozialpolitischen Sozialmanagementverständnis und aufbauend auf u.a. oststrukturalistischen, soziologischen, pädagogischen und professionspolitischen Theorien untersucht diese Studie die politischen Diskurse zum Prozess der Realisierung des Kinderförderungsgesetzes (KiföG) im Deutschen Bundestag (2009-2013) und punktuell in anderen Diskursarenen in Form einer Wissenssoziologische Diskursanalyse (Keller 2011). In dieser werden Diskurs- und Subdiskursstränge herausgearbeitet sowie Konstruktionen, wie bspw. Familienbilder der Akteur*innen analysiert, unter Berücksichtigung von Sprache als Mittel im politischen Diskurs sowie von Frames (Wehling 2017). Die verschiedenen Deutungsmuster der Diskursakteur*innen werden rekonstruiert und es wird u.a. herausgearbeitet, welche Deutungsmuster in Bezug auf die Realisierung des Kinderförderungsgesetzes konstruiert wurden. Subdiskurse sind dabei u.a.: die Zuständigkeit für den Betreuungsausbau und die Finanzierung; Familienbilder; das Betreuungsgeld als Alternative zur institutionellen Betreuung; die sozialen Berufe. Zudem wird dargestellt, welche Auswirkungen und Bedeutungen die Diskurse auf die Profession der Sozialen Arbeit und das Sozialmanagement haben. Deutlich wird, dass Kinder als Ressourcen der Gesellschaft eine wichtige Rolle in den Diskursen einnehmen. Sie sollen gefördert werden, damit sie für sich aber auch die Gesellschaft einen Mehrwert erwirken. Auch nimmt die Vereinbarkeit von Familie und Beruf, speziell für Frauen, einen wichtigen Stellenwert in den Diskursen ein. Die familienpolitische Maßnahme des Betreuungsgeldes wiederspricht hingegen tlw. der dominanten Argumentation der Aktivierung der Subjekte und bildet damit ein besonderes Element in den analysierten Diskursen. Wichtig ist hierbei auch das jeweilige Familienbild der Diskursparteien, dass Einfluss auf u.a. die Positionierung zum Betreuungsgeld hat. Die sozialen Berufe werden in den Diskursen als wichtige Akteur*innen konstruiert, da sie die Subjekte aktivieren und damit die Potenziale der Subjekte bzw. die Subjekte als Ressource entwickeln helfen. Die Soziale Arbeit ist durch die (sozial-)politischen Diskurse und die daraus entspringenden Entwicklungen der letzten Jahre Aktivierte und zugleich Aktivierende (Lutz 2008). Sie ist dadurch herausgefordert sich professionell zu den Diskursen zu positionieren und weiter an einer gerechteren Gesellschaft mit einer hohen Sozialen Qualität (Karsten 2012) zu arbeiten.

Aufgrund der starken Beeinträchtigung der Lebensqualität beim Erleiden von depressiven Symptomen und der hohen Prävalenzraten spielen Depressionen eine gewichtige Rolle im Forschungsfeld der mentalen Gesundheit. Durch eine zunehmende Digitalisierung erscheint es naheliegend, depressive Störungen auch mithilfe internetbasierter Maßnahmen zu behandeln – mit dem Ziel, Betroffenen auf diese Weise neben der traditionellen Psychotherapie weitere Unterstützungsangebote zur Verfügung stellen und zugleich Behandlungsbarrieren überwinden zu können. Für den effektiven Einsatz internetbasierter interventionen existiert bereits vielfältige Evidenz – sowohl für Betroffene mit majoren Depressionen als auch für Personen, die subklinische Beschwerden aufweisen. Bisher gibt es allerdings nur begrenzte Erkenntnisse darüber, ob internetbasierte Maßnahmen zur Behandlung von majoren Depressionen auch aktiven Kontrollbedingungen überlegen sind. Die Ergebnisse einer randomisiert-ontrollierten Studie (RCT = randomized controlled trial) zum Vergleich einer internetbasierten Intervention mit reiner Online-Psychoedukation (Studie 1) zeigen, dass dies zutrifft. Darüber hinaus ist die Erkenntnislage für Personen mit subklinischen depressiven Symptomen hinsichtlich ihrer langfristigen Wirksamkeit inkonsistent. Eine Meta-Analyse auf Basis der individuellen Teilnehmerdaten (IPD-MA = individual participant data meta-analysis) zur Evaluation der Wirksamkeit internetbasierter Maßnahmen zur Behandlung von subklinischen depressiven Symptomen (Studie 2) führte zu einer kurz-, mittel- und langfristigen Überlegenheit der Behandlungsgruppe im Vergleich zur Kontrollgruppe. Eine zusätzliche Analyse ergab, dass das Risiko für die Entwicklung einer majoren Depression innerhalb von 12 Monaten in der Interventionsgruppe im Vergleich zur Kontrollgruppe 28 % geringer ist. Für die Implementierung internetbasierter Maßnahmen in die Routineversorgung ist es gegebenenfalls erforderlich, geeignete Maßnahmen zu ergreifen, um mit den Studienergebnissen vergleichbar hohe Effekte bei den Betroffenen zu erreichen. Die Identifizierung von Faktoren, die den Behandlungserfolg beeinflussen, ist von großem Interesse, um internetbasierte Maßnahmen geeigneten Populationen kosteneffektiv und mit maximalem Nutzen zur Verfügung stellen zu können. Die IPD-MA für Personen mit subklinischen Symptomen (Studie 2) zeigte, dass eine hohe initiale Symptomschwere und höheres Alter zu einer niedrigeren depressiven Symptomatik zum Post-Messzeitpunkt führten. Eine weitere IPD-MA für Personen mit majorer Depression (Studie 3) identifizierte darüber hinaus ein geringes Bildungsniveau als Risikofaktor für eine Symptomverschlechterung. Die Ergebnisse des RCT (Studie 1) lassen vermuten, dass für TeilnehmerInnen mit orangehender Psychotherapieerfahrung Online-Psychoedukation bereits hilfreich ist, während diese Maßnahme für Therapie-Neulinge keinen Nutzen zeigt, sie aber erheblich von der internetbasierten Intervention zur Behandlung ihrer Symptome profitieren. Weitere Forschung hinsichtlich einer möglichen Individualisierung internetbasierter Interventionen erscheint sinnvoll. Angesichts der zunehmenden Nutzung internetbasierter Maßnahmen zur Behandlung von depressiven Symptomen erscheint es erforderlich, das Augenmerk neben dem Behandlungsnutzen auch auf die unerwünschten Nebenwirkungen zu lenken, für deren Berichterstattung und Handhabung es in diesem Forschungsfeld bisher kaum einen Konsens gibt. Die IPD-MA zur Behandlung von majoren Depressionen (Studie 3) konnte zeigen, dass das Risiko für eine reliable Verschlechterung von der Ausgangssituation bis zum Post-Messzeitpunkt in der Interventionsgruppe im Vergleich zur Kontrollgruppe signifikant geringer war. Eine langfristige Überlegenheit ließ sich nicht konsistent bestätigen. Der RCT (Studie 1) zeigte keinen signifikanten Unterschied in den Verschlechterungsraten zwischen den beiden Versuchsgruppen. In Studie 2 war die Interventionsgruppe der Kontrollgruppe zum Post-Messzeitpunkt und nach 12 Monaten hinsichtlich einer Symptomsteigerung um 50 % überlegen. Wie negative Effekte von internetbasierten Maßnahmen zukünftig idealerweise definiert und berichtet werden sollten, bedarf weiterer Klärung. Es ist anzunehmen, dass internetbasierte Interventionen für die meisten Betroffenen zu einem Behandlungserfolg führen und die TeilnehmerInnen keinem höheren Risiko für eine Symptomverschlechterung ausgesetzt sind als wenn sie an keiner Maßnahme teilnehmen würden.

Das Allgemeine Verhaltensmodell von March und Simon verknüpft vier fundamentale Konstrukte der Verhaltenstheorie: das Anspruchsniveau, die Belohnungserwartung, die Zufriedenheit und die Suche nach Verhaltensweisen, die Erfolg und Zufriedenheit versprechen. Die Teilmechanismen, die in dem Modell postuliert werden, verknüpfen sich zu einem Gesamtmechanismus, der dafür sorgt, dass das Verhältnis von Ansprüchen und Möglichkeiten zum Ausgleich kommt. Eine wichtige Rolle spielen die Parameter des Modells, die die Voraussetzungen und Stärke der Zusammenhänge bestimmen. Neben formalen Funktionen kommt diesen Parametern auch jeweils eine wichtige inhaltliche Bedeutung zu. Der vorliegende Beitrag trägt zur Erkundung des Modells und seiner Implikationen bei. Das Modell verdient eine größere Beachtung, als ihm bislang geschenkt wurde. Es beschreibt einen fundamentalen Verhaltensmechanismus, der in praktisch allen Bereichen menschlichen Verhaltens wirksam ist. Das Modell besitzt nicht nur eine große Erklärungskraft, es ist außerdem logisch stimmig, kompakt und elegant. Außerdem erweist es sich als in hohem Grad anschlussfähig für eine Vielzahl von theoretischen Ansätzen und empirischen Erkundungen. Es lässt sich anwenden für die Erklärung von allgemeinen Zusammenhängen, für die Beschreibung konkreter Vorgänge und für die Simulation einer Vielzahl von Handlungskonstellationen.

This dissertation presents an analysis of the relations to self and technology that emerge from and in the use of self-tracking technologies. The ethnographical study, combined with the Grounded Theory approach and a media analysis, demonstrates the complex intertwining or duality of control and care towards oneself that emerge or become possible in and through the application of ST technologies. ST devices assist in strengthening one's health and well-being in a playful way, building and maintaining a positive self-feeling, self-image and agency, and discovering unknown abilities and potentials within oneself. The ST technologies used provide orientation through complexity-reducing visualizations, highlighting patterns, and trend progression. They challenge through self-overload, dissatisfaction when not achieving goals, self-deception and distraction, narcissism and even loss of control - internally through compulsion to control as well as externally through loss of data otection and exploitation of private data by third parties, as well as handing over responsibility (in the form of decisions) to technology (algorithms) instead of self-responsibility. These two seemingly opposed yet concurrently existing self-relations reflect the dynamic between today's demands for self-responsibility (in health and performance terms) and the need for self-care and guidance for the many relevant, sometimes daily, decisions. They balance possibly existing tensions and ambiguities between the modes of self-relations that at first glance seem to be opposed and yet ultimately are jointly oriented towards the same goal, namely to master one's life (life maintenance) and to be in balance. The self-relations described in this thesis are supported, reinforced, or enabled by ST technology (and practice). Three different roles that ST technology can take in self-care and self-control were elaborated: technology as a means, a counterpart, and a promise. In relation to technology, another dialectic is visible, which shows the apparent contrast between its conception as a tool and means to achieve something and the approach to technology as an intimate counterpart (partner, nanny, coach) and a promise of salvation. The relationship with technology seems to intensify in and through the ST experience and takes on or is assigned a partner-like role by the users. Finally, the results indicate that the concept of (self-)optimization, contrary to its etymological meaning of a logic of increase, can also be understood differently, namely balancing. In this context, optimization does not necessarily mean the fastest, the highest, the strongest, but something that is achievable and satisfactory for the self - within the framework of the given and the desired. At the same time, the optimization understood as harmonizing and balancing in self-tracking becomes a lifelong task that, in principle, can never be completed because with the addition of new vital areas in life and throughout a lifetime also the individually understood and conceived balance often shifts.

Forest ecosystems are complex systems that develop inherent structures and processes relevant for their functioning and the provisioning of ecosystem services that contribute to human wellbeing. So far, forest management focused on timber production while other services were less rewarded. With increasing climate change impacts, especially regulating ecosystem services such as microclimate regulation are ever more relevant to maintain forest functions and services. A key question is how forest management supports or undermines the ecosystems’ capacity to maintain those functions and services. Forest management implies silvicultural interventions such as thinning and timber harvesting and ranges from single tree extraction to large clearcuts as well as forest reserves without active forest operations and shape the character of forest ecosystems (e.g. natural versus planted forests). Artificial plantings, monocultures and management for economic timber production simplify forest structures and impair ecosystem resilience, resistance and the existence of forests but also the services essential for the prosperity and health of humanity. Efforts to reduce the negative impacts and attempts to safeguard forest functions are manifold and include compulsory national and international guidelines and regulations for forest management, conventions, but also voluntary mechanisms such as certification systems. The main objective of this thesis was the development of a concept to assess the functionality of forests and to evaluate the effectiveness of forest ecosystem management including certification. An ecosystem-based and participatory methodology, named ECOSEFFECT, was developed. The method comprises a theoretical and an empirical plausibility analysis. It was applied to the Russian National FSC Standard in the Arkhangelsk Region of the Russian Federation – where boreal forests are exploited to meet Europe's demand for timber. In addition, the influence of forestry interventions on temperature regulation in Scots pine and European beech forests in Germany was assessed during two extreme hot and dry years in 2018 and 2019. Microclimate regulation is a suitable proxy for forest functionality and can be applied easily to evaluate the effectiveness of forest management in safeguarding regulating forest functions relevant under climate change. Microclimate represents the most decisive factor differentiating clearcuts and primary forests. Thus, the assessment of forest microclimate regulation serves as convenient tool to illustrate forest functionality. In the boreal and temperate forests studied in the frame of this thesis, timber harvesting reduced the capacity to self-regulate forests’ microclimate and thus impair a crucial part of ecosystem functionality. Changes in structural forest characteristics influenced by forest management and silviculture significantly affect microclimatic conditions and therefore forest ecosystems’ vulnerability to climate change. Canopy coverage and the number of cut trees were most relevant for cooling maximum summer temperature in pine and beech forests in northern Germany. Maximum temperature measured at ground level increased by 0.21 – 0.34 K when 100 trees were cut. Opening the forest canopy by 10 % caused an increase of maximum temperature at ground-level by 0.53 K (including pine and beech stands). Relative temperature cooling capacity decreased with increasing wood harvest activities and dropped below average values when more than 656 trees per hectare (in 2018; and 867 trees in 2019) were felled. In pine stands with a canopy cover below 82 % the relative temperature buffering capacity was lower than the average. Mean maximum temperature measured at ground-level and in 1.3 m was highest in a pine-dominated sample plots with relatively low stand volume (177 m3 ha-1) and 9 K lower in a sample plot with relatively high stock volumes of F. sylvatica (> 565 m3 ha-1). During the hottest day in 2019, the difference in temperature peaks was more than 13 K for pine-dominated sample plots with relatively dense (72 %) and low (46 %) canopy cover. The Russian FSC standard has the potential to improve forest management and ecological outcomes, but there are shortcomings in the precision of targeting actual problems and ecological commitment. In theory, FSC would transform forest management practices and induce positive changes and effective outcomes by addressing 75 % of the identified contributing factors including highly relevant factors and threats including large-scale (temporary) tree cover loss, which contributes to reducing about half of the identified stresses in the ecosystem. It is theoretically plausible that FSC prevents logging in high conservation value forests and intact forest landscapes, reduces the size and number of clearcuts, and prevents hydrological changes in the landscape. However, the standard was not sufficiently explicit and compulsory to generate a strong and positive influence on the identified problems and their drivers. Moreover, spatial data revealed, that the typical regular clearcut patterns of conventional timber harvesting continue to progress into the FSC-certified boreal forests, also if declared as ‘Intact Forest Landscape’. This results in the need to verify the assumptions and postulates on the ground as it remains unclear and questionable if functions and services of boreal forests are maintained when FSC-certified clearcutting continues. On the clearcuts, maximum temperature exceeded 36 °C and stayed below 30 °C in the closed primary forest. The number of days with temperatures above 25 °C at least doubled on clearcuts. Temperature cooling capacity was reduced by up to 14 % and temperature buffering capacity up to 60 %. The main reason why FSC-certified clearcuts do not differ from conventional clearcuts is that about 97 % of trees within equally large clearcut sites of up to 50 ha were removed. The spatial design of clearcuts, their size and the intensity of clearing as well as the density of skidding trails for timber extraction was not positively influenced by FSC-certification. Annual tree cover loss was lowest in non-certified areas. This means, that FSC may even contribute to an increased biomass removal within the clearcuts, which compromises the ecosystems’ capacity to recover and maintain ecological functions and services. The analysis of satellite-based data on tree cover loss showed that clearcutting causes secondary dieback in the surrounding of the cleared area. FSC-certification does not prevent the various negative impacts of clearcutting and thus fails to safeguard ecosystem functions. The postulated success in reducing identified environmental threats and stresses, e. g. through a smaller size of clearcuts, could not be verified on site. The empirical assessment does not support the hypothesis of effective improvements in the ecosystem. In practice, FSC-certification did not contribute to change clearcutting practices sufficiently to effectively improve the ecological performance. Sustainability standards that are unable to translate principles into effective outcomes fail in meeting the intended objectives of safeguarding ecosystem functioning. Clearcuts that carry sustainability labels are ecologically problematic and ineffective for the intended purpose of ecological sustainability. The overexploitation of provisioning services, i.e. timber extraction, diminishes the ecosystems’ capacity to maintain other services of global significance. It also impairs ecosystem functions relevant to cope with and adapt to other stresses and disturbances that are rapidly increasing under climate change. Forest management under climate change needs to apply precautionary principles and reduce further ecological risks such as secondary dieback and deterioration of regulating services that are relevant for the functioning of forests. Forest managers have to avoid ecological disimprovements by applying strict ecological principles with effective outcomes in order to maintain functional forests that regulate their own microclimate also as a basis for sustainable economic benefits.

Environmental perception is one of the biggest challenges in autonomous driving to move inside complex traffic situations properly. Perceiving the road's condition is necessary to calculate the drivable space; in manual driving, this is realized by the human visual cortex. Enabling the vehicle to detect road conditions is a critical and complex task from many perspectives. The complexity lies on the one hand in the development of tools for detecting damage, ideally using sensors already installed in the vehicle, and on the other hand, in integrating detected damages into the autonomous driving task and thus into the subsystems of autonomous driving. High-Definition Feature Maps, for instance, should be prepared for mapping road damages, which includes online and in-vehicle implementation. Furthermore, the motion planning system should react based on the detected damages to increase driving comfort and safety actively. Road damage detection is essential, especially in areas with poor infrastructure, and should be integrated as early as possible to enable even less developed countries to reap the benefits of autonomous driving systems. Besides the application in autonomous driving, an up-to-date solution on assessing road conditions is likewise desirable for the infrastructure planning of municipalities and federal states to make optimal use of the limited resources available for maintaining infrastructure quality. Addressing the challenges mentioned above, the research approach of this work is pragmatic and problem-solving. In designing technical solutions for road damage detection, we conduct applied research methods in engineering, including modeling, prototyping, and field studies. We utilize design science research to integrate road damages in an end-to-end concept for autonomous driving while drawing on previous knowledge, the application domain requirements, and expert workshops. This thesis provides various contributions to theory and practice. We design two individual solutions to assess road conditions with existing vehicle sensor technology. The first solution is based on calculating the quarter-vehicle model utilizing the vehicle level sensor and an acceleration sensor. The novel model-based calculation measures the road elevation under the tires, enabling common vehicles to assess road conditions with standard hardware. The second solution utilizes images from front-facing vehicle cameras to detect road damages with deep neural networks. Despite other research in this area, our algorithms are designed to be applicable on edge devices in autonomous vehicles with limited computational resources while still delivering cutting-edge performance. In addition, our analyses of deep learning tools and the introduction of new data into training provide valuable opportunities for researchers in other application areas to develop deep learning algorithms to optimize detection performance and runtime. Besides detecting road damages, we provide novel algorithms for classifying the severity of road damages to deliver additional information for improved motion planning. Alongside the technical solutions, we address the lack of an end-to-end solution for road damages in autonomous driving by providing a concept that starts from data generation and ends with servicing the vehicle motion planning. This includes solutions for detecting road damages, assessing their severity, aggregating the data in the vehicle and a cloud platform, and making the data available via that platform to other vehicles. Fundamental limitations in this dissertation are due to boundaries in modeling. Our pragmatic approach simplifies reality, which always distorts the degree of truth in the result. This affects the model building of the quarter-vehicle and deep learning. Further limitations occur in the end-to-end concept. This represents the integration of road damages in the autonomous driving task but does not detail the aggregation modules and interfaces of the subsystems. The completion of this work does not conclude the topic of road damage detection and assessment in autonomous driving. Research must continue to optimize the proposed solutions and test them on a widespread basis in the real world. Furthermore, the sensor fusion of different approaches is fascinating in order to combine the advantages of individual systems. Integrating the end-to-end concept into the ecosystem of an autonomous vehicle is another fascinating field, taking interfaces and cloud platforms into account.