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In the study, predictive models for predicting therapy outcome are created using the dataset from E-COMPARED project, which belongs to the so-called type 3 models that use data from the intervention and preintervention phases to predict treatment outcomes, which can help to adapt intervention to maximize treatment. The predictive models aim to classify patients into two groups, improved and nonimproved. Since it is important to determine whether the models contribute to improvement of treatment, research questions that can contribute to the usage of type 3 models are established. The study focuses on the following three questions: (1) How accurately can the therapy outcome be predicted by various machine learning algorithms? Answering this question can let the people concerned obtain information about the reliability of contemporary predictive models. In addition, if the predictive power of the models is good, it is more likely to be used to assist therapists’ decisions. (2) Which kind of data is more important in predicting the therapy outcome? The answer to this question can show which dataset should be considered first to make better predictive models. Therefore, it can be helpful for researchers who want to make predictive models in the future and eventually help to facilitate personalized therapy. (3) What are the features with strong predictive power? The answer to this question can affect the people concerned, especially therapists. Therapists can use the most influential features revealed to adjust and improve future treatments.
The food and land use system is one of the most important global economic sectors. At the same time, today's resource-intensive agricultural practices and the profit orientation in the food value chain lead to a loss of biological diversity and ecosystem services, high emissions, and social inequality - so-called negative externalities. From a scientific perspective, there is a broad consensus on the need to transform the current food system. This paper investigates the suitability of True Cost Accounting (TCA) as an approach to inte-grating positive and negative externalities into business decisions in the food and land use system, focusing on the retail sector due to its high market power and resulting influence on externalities along the entire food value chain. For this purpose, a qualitative study was con-ducted with sustainability managers of leading European food retail companies in terms of their annual turnover, sustainable finance experts, and political actors related to environmental and social policy. A sample of N=11 participants was interviewed about the emergence and meas-urement of externalities along the food value chain, the current and future relevance of knowing about externalities for food retail companies, and the market and policy framework necessary for the application of TCA. The data collected was evaluated using the method of qualitative content analysis according to Mayring. Findings show that TCA is a suitable method for capturing positive and negative external ef-fects along the food value chain and thus also for meeting the growing social, political, and financial demands for its sustainable orientation. At the same time, there are still some chal-lenges in the application of TCA, both from a theoretical and a practical point of view. The main challenges at present are the lack of a standardised methodology, data availability, and key performance indicators. Due to the focus on prices, margins and competitors, food retail groups, in particular, emphasise the risk of revenue and profit losses as well as customer churn when applying TCA. Hence, the introduction of TCA in the food and land use system requires the development of measures that are socially acceptable, backed by legal frameworks and promote the scientific development of the methodology. This offers the opportunity to create a level playing field, apply the polluter-pays principle to the entire value chain and support science in developing appropriate indicators as well as a TCA database. Food retail companies can benefit from addressing TCA at an early stage by analysing their value chain to initiate change processes early, identify risk raw materials and products, reduce negative externalities through targeted measures, sensitise customers to the issue and thus differentiate themselves from competitors.
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.
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.
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.
Despite warnings from scientists and from society starting in the 1970s, we have long overshot our planetary boundaries – eroding biodiversity, changing our landscapes, and polluting our soil and atmosphere. Yes, efforts to change the unsustainable trajectories of our Earth system have increased through, for example, the Millennium Goals, the Sustainable Development Goals, or the Aichi Targets, but to no avail. The interventions to increase sustainability are conflicting on local, national and global levels, and often prioritise quick-fixes and short-term solutions instead of tackling the root causes of the “sustainability gap”. We, hence, need to find “places to intervene in complex systems that bring about transformative change” (Meadows 1999) – a premise and concept that Donella Meadows calls “leverage points”. Based on her seminal work, a team from the Leuphana University has identified three “realms of leverage” in which changes may lead to system transformation (Abson et al. 2017). One of these realms is the reconnection of humans to nature. In this habilitation, I focus on this realm of leverage and aim to (1) enhance the understanding of the influence of landscape change on human-nature relations through empirical, place-based research and comparisons across landscapes in different countries and continents; (2) identify and clarify the new concepts of relational values and leverage points; and (3) highlight empirical evidence on leverage points to foster human-nature relations for sustainability transformation, building mainly on empirical work done in six landscapes in Transylvania, Romania and Lower Saxony, Germany, but also including case studies from Ethiopia and India, systematic literature reviews and conceptual pieces. This thesis showed that cultural landscapes are changing with astonishingly comparable trajectories toward unsustainable futures. Our earth’s current environmental and climate crisis will continue to erode the fundaments of sustainability, hence, re-connecting humans to nature is of outstanding significance for transformative change. Identifying leverage points and implementing an intervention to strengthen human–nature relations will be a great challenge in the coming years. One possible leverage point can be strengthening experiential and emotional dimensions, as they specifically shape the connections people have with cultural landscapes. Further, this thesis highlighted the importance of the interlinkages between shallow and deep leverage points. Our results show that structurally complex landscapes and structurally rich social relations mediated by nature are interlinked and strengthening one, may strengthen the other. Moreover, strengthening sense of place and a sense of agency may enable self- and re-organization of cultural landscapes by opening the possibility to renegotiate people’s values for values and the goals of the social-ecological system, which, in turn, may enhance the structural diversity of landscapes and small-scale agriculture. Our results presented in this thesis also lay the ground for the hypothesis that degrading landscapes might also degrade social relations, which, in turn, can lead to contrasts and conflicts between actors and social groups. Although much work is still necessary to foster transformative change, this thesis offers innovative approaches. This thesis created and popularised the “Leverage points perspective”, including “chains of leverage”, as well as producing novel insights on human-nature relations – such as the distinction of human-nature connectedness and relational values, classifying relational value groups and empirically assessing dimensions of human-nature connectedness and relational values concerning landscape change and landscape features. These novel contributions can have wide-ranging impacts on the scientific discussions and societal implementation of interventions for sustainability.
Leverage points to foster human-nature relations for sustainability transformation