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Das Staatsangehörigkeitsrecht verankert rechtlich Vorstellungen über Zugehörigkeit und bestimmt wer vollumfängliche Rechte in einer Gesellschaft hat und wer nicht. Jahrzehntelang wurde Migration in Deutschland als etwas temporäres betrachtet. Im Staatsangehörigkeitsrecht galt bis zur Reform 1999/2000 weitgehend das „ius sanguinis“, das Abstammungsrecht, das auf einem rassistischen und völkischen Staatsverständnis beruht. Diese Reform bedeutete somit mehr als eine reine Gesetzesänderung. Sie war eine Anerkennung Deutschlands als Einwanderungsland und die Veränderung der Vorstellung deutscher Identität. Als Reaktion entbrannte infolge der Reformpläne eine hitzige, rassistische Debatte in der Öffentlichkeit über ebendiese Fragen, die unter dem polarisierten Schlagwort „Doppelpass“ verhandelt wurde. Es war die lauteste migrationspolitische Debatte dieser Zeit.
Kurze Zeit vor Beginn dieser Debatte war die rechtsterroristische Gruppe „Nationalsozialistischer Untergrund“ (NSU) abgetaucht, um einem Haftbefehl zu entgehen. Der NSU war ein deutsches, neonazistisches Netzwerk, in dessen Mittelpunkt drei Terrorist*innen standen. Sie verübten über einen Zeitraum von zwölf Jahren eine rassistische Mordserie an neun Personen türkischer, kurdischer und griechischer Herkunft sowie drei Sprengstoffanschläge auf migrantische Orte und ermordeten eine Polizistin. Den ersten ihrer Sprengstoffanschläge begingen sie nur einen Monat nach der Unterzeichnung der Reform. Wenige Monate nach dem Inkrafttreten des Gesetzes begannen sie mit dem Anschlag auf Enver Şimşek ihre rassistische Mordserie.
Diese Arbeit untersucht anhand der Struktur der Historisch-Materialistischen Politikanalyse das Migrationsregime um die Staatsangehörigkeitsreform von 1999/2000 und wie der NSU darin verortet werden kann.
Die Kontextanalyse stellt auf der Grundlage einer Literaturrecherche die relevanten historischen und strukturellen Faktoren der Debatte sowie des NSU dar. Im nächsten Schritt werden mithilfe einer Analyse von Zeitungsartikel aus dieser Zeit die relevanten Akteur*innen identifiziert und in die vier Hegemonieprojekte neoliberal, sozial, linksliberal-alternativ und konservativ gruppiert. Darauffolgend wird der Ablauf der Debatte in vier Phasen darstellt und als Aushandlung der vier Hegemonieprojekte rekonstruiert. Dabei zeigt sich, dass kein Projekt sich vollumfänglich durchsetzen und Hegemonie erreichen konnte, sie jedoch unterschiedlich stark in den Medien repräsentiert wurden.
Im letzten Schritt betrachtet diese Arbeit Verbindungen dieser Migrationsregime-Analyse zum NSU. Sie kommt zu dem Ergebnis, dass der NSU kein Akteur im Migrationsregime um die Staatsangehörigkeitsdebatte von 1998/99 war. Aufgrund der geringen Erkenntnisse über spezifische Meinungen des NSU zum Staatsangehörigkeitsrecht, können keine kausalen Beziehungen hergestellt werden. Dennoch zeigt diese Arbeit Gemeinsamkeiten in den Weltbildern, Annahmen und migrationspolitischen Zielen des NSU, des konservativen Hegemonieprojektes sowie Teilen der Bevölkerung auf. Dadurch wird ein Beitrag dazu geleistet den NSU als Produkt und Teil der deutschen Gesellschaft zu begreifen.
Analysis of machine learning prediction quality for automated subgroups within the MIMIC III dataset
(2023)
The motivation for this master’s thesis is to explore the potential of predictive data analytics in the field of medicine. For this, the MIMIC-III dataset offers an extensive foundation for the construction of prediction models, including Random Forest, XGBOOST, and deep learning networks. These models were implemented to forecast the mortality of 2,655 stroke patients.
The first part of the thesis involved conducting a comprehensive data analysis of the filtered MIMIC-III dataset.
Subsequently, the effectiveness and fairness of the predictive models were evaluated. Although the performance levels of the developed models did not match those reported in related research, their potential became evident. The results obtained demonstrated promising capabilities and highlighted the effectiveness of the applied methodologies. Moreover, the feature relevance within the XGBOOST model was examined to increase model explainability.
Finally, relevant subgroups were identified to perform a comparative analysis of the prediction performance across these subgroups. While this approach can be regarded as a valuable methodology, it was not possible to investigate underlying reasons for potential unfairness across clusters. Inside the test data, not enough instances remained per subgroup for further fairness or feature relevance analysis.
In conclusion, the implementation of an alternative use case with a higher patient count is recommended.
The code for this analysis is made available via a GitHub repository and includes a frontend to visualize the results.
Under pressure? : "Querdenken" - Kollektivierung als Praxisproblem einer Bewegung unter Druck
(2021)
Die vorliegende Arbeit untersucht eine lokale Telegram-Chatgruppe der Corona-Protestbewegung „Querdenken“ hinsichtlich deren Kollektivierungspraktiken. Das Erkenntnisinteresse liegt darin, zu untersuchen, wie die Gruppe in einer Zeit, in der durch häufige Demonstrationsverbote hoher Druck von außen auf sie einwirkt, Gemeinschaft herstellt. Analysiert werden dabei symbolische Grenzziehungspraktiken sowie die Mobilisierung leerer Signifikanten und – um einen Blick auf Kollektivierung als Praxisproblem zu werfen – die Konflikte, die innerhalb der Gruppe herrschen. Dabei zeigt sich eine antagonistische Identitätskonstitutionslogik, die sich anhand der privilegierten Signifikanten Demokratie vs. Diktatur konstituiert. Diese entwickeln ihre identitätsstiftende Kraft vor allem in der Attribution zu verschiedenen Subjektpositionen, von denen ‚die Politik‘ die zentrale Abgrenzungsposition für die Querdenker*innen darstellt. Weiterhin zeigt sich, dass die strategischen Konflikte, die aus dem Druck von außen resultieren, kontextabhängig gleichermaßen zersetzende wie integrative Kräfte entwickeln.
Ausgehend von Scheffers Beschreibung Existentieller Probleme untersucht die Masterarbeit die Problembehandlung solcher. Dabei versucht sich der Autor an einer vorläufigen Begriffsdefinition Existentieller Apparate und untersucht im folgenden, wie sich diese von der Arbeitsweise, ihrer Struktur und anderer Merkmale von herkömmlichen Apparaten unterscheiden. Die Diskussion erfolgt anhand der Problembearbeitungskapazitäten von der Flüchtlingshilfe auf Lesbos, Impfzentren und der Fridays-for-Future-Bewegung, die jeweils für Sich genommen speziell nur im Kontext jeweiliger Existentieller Probleme existieren.
The thesis delves into two research questions, drawing from the 2022 Final Report of the Colombian Truth Commission. It critically examines historical power differentials originating from the colonial period, probing their role in legitimizing and perpetuating violence against ethnic groups, women, and individuals diverging from cisgender or heteronormative norms within Colombian society. Additionally, the research explores the pervasive influence exerted by the colonial legacy on the foundational structures of Colombian societal organization. Employing discourse analysis as its methodological approach, the thesis undertakes the task of deconstructing and reconstructing the Report, thereby elucidating emergent and contingent discursive meanings that situate coloniality within the realms of cognition, language, and affect. Emphasizing the presence of counter-hegemonic knowledge within the Report, the thesis integrates its findings into a robust theoretical and conceptual framework, facilitating a nuanced and systematic comprehension of the underlying causes of violence perpetrated against marginalized groups and the environment. These causes are intricately linked to the intertwined and hybridized power structures that have endured since the colonial era.
Power structures of Eurocentric origin, alongside mental constructs imposed by European invaders over centuries — such as anthropocentrism, racism, internal colonialism, heteropatriarchy, cisnormativity, and classism — were gradually naturalized and institutionalized within Colombian society. This process has been perpetuated through the state's reproduction of these patterns since the inception of Colombia as a nation-state. Consequently, hierarchical discursive constructions, posited as universal and self-evident, have marginalized certain groups and justified environmental degradation. While the internal armed conflict exacerbated these issues, it did not create them; rather, it intensified pre-existing violences, targeting individuals, communities, and their territories.
The thesis also underscores the portrayal of otherness within the modern-colonial world-system, rooted in principles of domination and subalternity, perpetuating colonial patterns of thought and action, reinforcing the hegemonic cosmovision. Notions of superiority and inferiority that predate the establishment of the Colombian nation-state have influenced social categories, subject positions, and identities, resulting in disproportionate, differential, and cumulative harm inflicted upon subalternized population groups. This contributes to a culture of 'justified' violence.
The research underscores the profound entrenchment of coloniality in the structures of Colombian society and the various inherent logics of violence within its conflicts. Coloniality, a comprehensive framework encompassing colonial patterns of thought and action, originating from the invasion and conquest of Abya Yala, continuously shapes the contemporary realities of societies in diverse (re-)configurations, leaving indelible imprints. The effects of these dynamics are manifold, ranging from the imperative of monogamous sexuality according to Judeo-Christian principles as a self-evident norm to the view of nature as a resource rather than a unit comprising both people and environment. In other words, colonial patterns are deeply embedded in all structures of society. A key recommendation emerging from this thesis is to underscore the imperative to recognize and question the persistence of colonial patterns in social and individual lives.
The research urges recognition and interrogation of these persistent colonial patterns in societal and individual structures, advocating for transformative paradigms that challenge conventional thought patterns and foster self-reflection among Colombians. The report, functioning as a political instrument, holds the potential to significantly contribute to the formation of subjectivities that break away from the epistemic schemes of modernity/coloniality. The research and its findings create a political space for questioning the universalist notion of the Eurocentric civilizing project, the scientific rationality of the universal subject, and the presumed neutrality of its forms of knowledge. This opens avenues for questioning, disputing, and transforming entrenched paradigms.
Goal-Conditioned Reinforcement Learning (GCRL) is a popular framework for training agents to solve multiple tasks in a single environment. It is cru- cial to train an agent on a diverse set of goals to ensure that it can learn to generalize to unseen downstream goals. Therefore, current algorithms try to learn to reach goals while simultaneously exploring the environment for new ones (Aubret et al., 2021; Mendonca et al., 2021). This creates a form of the prominent exploration-exploitation dilemma. To relieve the pres- sure of a single agent having to optimize for two competing objectives at once, this thesis proposes the novel algorithm family Goal-Conditioned Re- inforcement Learning with Prior Intrinsic Exploration (GC-π), which sep- arates exploration and goal learning into distinct phases. In the first ex- ploration phase, an intrinsically motivated agent explores the environment and collects a rich dataset of states and actions. This dataset is then used to learn a representation space, which acts as the distance metric for the goal- conditioned reward signal. In the final phase, a goal-conditioned policy is trained with the help of the representation space, and its training goals are randomly sampled from the dataset collected during the exploration phase. Multiple variations of these three phases have been extensively evaluated in the classic AntMaze MuJoCo environment (Nachum et al., 2018). The fi- nal results show that the proposed algorithms are able to fully explore the environment and solve all downstream goals while using every dimension of the state space for the goal space. This makes the approach more flexible compared to previous GCRL work, which only ever uses a small subset of the dimensions for the goals (S. Li et al., 2021a; Pong et al., 2020).
WaterGAP (Water - Global Assessment and Prognosis) is a tool for modeling global water use and water availability. It participates among other models in the ISIMIP initiative (The Inter-Sectoral Impact Model Intercomparison Project). As part of this initiative, the water temperature should be calculated by participating hydrological models because it plays a vital role in many chemical, physical and biological processes. Therefore, the subject of this master thesis is to implement the physically based surface water temperature computation after VAN BEEK ET AL. (2012) and WANDERS ET AL. (2019) into WaterGAP and compare the results to the statistical regression approach by PUNZET ET AL. (2012). The computation is validated with observed water temperature data obtained from the GEMStat water quality database. The results are good for arctic and temperate latitudes. Surface water temperatures for tropical rivers are overestimated, most likely due to the overestimation of precipitation temperatures, incoming radiation and groundwater temperatures. The comparison with the regression model by PUNZET ET AL. (2012) shows matching results. The regression model even matches with WaterGAP results for most of the simulations of the future under climate change conditions, where the regression model should stop working due to changing environmental parameters. Several assumptions had to be made in order to implement the water temperature calculation in Water-GAP. These include, e.g., discharge temperatures for power plant cooling water, precipitation and surface runoff temperatures. For model improvements, perhaps three different values for the different regions of the world should be used to cool down the precipitation and surface runoff. The model could also be improved by refining the ice formation calculation, especially for the conditions when the ice melts, breaks up and is transported downstream. Furthermore, the feedback to the river channel roughness could be implemented if ice has formed. The WaterGAP model upgraded with the water temperature calculation will help the ISIMIP initiative in the future.
The reanalysis products and derived products, ERA5 (Copernicus Climate Change Service, 2018) and W5E5 (WATCH Forcing Data (WFD) methodology applied to ERA5) (LANGE ET AL., 2021) have been recently published initiating a new phase of scientific research utilizing these datasets. ERA5 and W5E5 offer the possibility to reduce insecurities in model results through their improved quality compared to previous climate reanalyses (CUCCHI ET AL., 2020). The suitability of either climate forcing as input for the hydrological model WaterGAP and the influence of the models specific calibration routine has been evaluated with four model experiments. The model was validated by analysing the models ability to produce reasonable values for global water balance components and to reproduce observed discharge in 1427 basins as well as total water storage anomalies in 143 basins using well established efficiency metrics. Bias correction of W5E5 was found to lead to more global realistic mean precipitation and consequently discharge and AET values. In an uncalibrated model setup ERA5 results in better performances across all efficiency metrics. Model results produced with W5E5 as climate input were strongly improved through calibration ultimately leading to the best performances out of all four model experiments. However, model performances considerably improved through calibration with both climate forcings hence calibration was found to have the strongest effect on model performance. Furthermore, spatial differences in performance of either forcing were identified. Snow-dominated regions show an overall better performance with ERA5, while wetter and warmer regions are better represented with W5E5. Finally, it can be concluded that W5E5 should be preferred as climate input for impact modelling; however, depending on the spatial scale and region ERA5 should at least be considered, in particular for snow-dominated regions.