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In the ongoing 21st century, low- and middle-income countries will face two health challenges that are thoroughly different from what these countries have been dealing with in preceding centuries. First, they are confronted with surging rates of non-communicable diseases (NCDs), and second, climate change will take its toll and is predicted to cause catastrophic health impairments and exacerbate chronic health conditions further. Both will pose a disproportionate health and economic burden on low- and middle-income countries, which are also the countries least able to cope with them. By threatening individual health and socioeconomic improvements, and by putting an immense burden on already constrained health care systems, they impede the progress in poverty reduction and widen health inequities between the rich and the poor.
Against this background, this thesis investigates the potential of NCD prevention and treatment measures in the context of Southeast Asia, with case studies in Indonesia. Specifically, it seeks to understand what kind of health interventions have the potential to be (cost-)effective considering the cultural background, lifestyle, health literacy and health system capacities in the region. Further, this thesis analyzes the interplay between NCDs and climate change and assesses the financial burden that both might pose in the decades to come. Hence, this thesis contributes to a better understanding of how the two health challenges of the 21st century, NCDs and climate change, can be addressed in the context of Southeast Asia and offers insights into what type of health policies and interventions can play a supportive role.
Organic agriculture in Java, Indonesia, has been historically intertwined with social movements that struggled for more economically, ecologically, culturally, and socially sustainable agriculture. While these grassroots movements emerged under an authoritarian government that showed little interest in organic agriculture, the turn of the 21st century saw the rapid involvement of the Indonesian government in supporting, regulating and, arguably, commodifying organic agriculture. Institutionalization triggered diverse responses from competing organic actors, reflecting their different standpoints and knowledges. In this context, a transdisciplinary approach is deemed suitable to provide context-specific insights into organic agriculture.
This dissertation draws on anthropology and Science and Technology Studies (STS) to explore the politics of knowledge of organic agriculture in Yogyakarta, Indonesia, as a contribution to a critique of transdisciplinarity. My interest on the hierarchization of different knowledges is inspired by the work of anthropologists of knowledge that asks how the communities they study construct knowledge and how they themselves construct knowledge about these communities. Since transdisciplinary knowledge is co-produced by science and society and reflects their embedded power relations, transdisciplinary research needs to be open to different interpretations, and reflexive towards the unequal distribution of resources, accountability, and responsibility. By linking these two lines of thought, I examine the making of knowledges through reflexive transdisciplinary work. I reflect on how “epistemic living space” (Felt 2009) and “co-presence” (Chua 2015) affect research and shape the politics of knowledge of organic agriculture in Yogyakarta, Indonesia. I argue that the hierarchization of different knowledges of organic agriculture was intertwined with my shifting positionalities, as a field researcher in Indonesia and PhD student at Passau University, as I moved between these two different “field sites”.
This cumulative dissertation is divided into two parts. In Part I, “Knowledge in the making”, I present my contributions towards transdisciplinary knowledge production and politics of knowledge of organic agriculture. Part II, “Publications”, comprises the three stand-alone papers. The first contribution is my formulation of the notion of knowledge in the making. The second is my exploration of the ways that reflexive transdisciplinary work, and living and intersubjective experience shape knowledge in the making. The third is my demonstration of how an understanding of knowledge in the making sheds lights on the politics of knowledge of organic agriculture. This approach serves to examine the politics involved in synthesizing the conceptualizations of organic agriculture employed by different actors into one overarching narrative, such as sustainable agriculture or alternative agriculture. My final contribution is the notion of transdisciplinary moments, a conceptualization of transdisciplinary research practice that accounts for the politics of knowledge in which both scientific and extra-scientific actors are embedded. As a conclusion, I share the lessons learned from pursuing a PhD as a cumulative dissertation in an unstructured setting within a German–Indonesian research project on Indonesian organic agriculture. Finally, I identify bodies of literature and strands of thinking for future engagement within transdisciplinary research and discuss their potential to contribute to radical change in the institutional and value structures of contemporary academia.
Understanding of financial data has always been a point of interest for market participants to make better informed decisions. Recently, different cutting edge technologies have been addressed in the Financial Technology (FinTech) domain, including numeracy understanding, opinion mining and financial ocument processing.
In this thesis, we are interested in analyzing the arguments of financial experts with the goal of supporting investment decisions. Although various business studies confirm the crucial role of argumentation in financial communications, no work has addressed this problem as a computational argumentation task. In other words, the automatic analysis of arguments. In this regard, this thesis presents contributions in the three essential axes of theory, data, and evaluation to fill the gap between argument mining and financial text.
First, we propose a method for determining the structure of the arguments stated by company representatives during the public announcement of their quarterly results and future estimations through earnings conference calls. The proposed scheme is derived from argumentation theory at the micro-structure level of discourse. We further conducted the corresponding annotation study and published the first financial dataset annotated with arguments: FinArg.
Moreover, we investigate the question of evaluating the quality of arguments in this financial genre of text. To tackle this challenge, we suggest using two levels of quality metrics, considering both the Natural Language Processing (NLP) literature of argument quality assessment and the financial era peculiarities.
Hence, we have also enriched the FinArg data with our quality dimensions to produce the FinArgQuality dataset.
In terms of evaluation, we validate the principle of ensemble learning on the argument identification and argument unit classification tasks. We show that combining a traditional machine learning model along with a deep learning one, via an integration model (stacking), improves the overall performance, especially in small dataset settings.
In addition, despite the fact that argument mining is mainly a domain dependent task, to this date, the number of studies that tackle the generalization of argument mining models is still relatively small. Therefore, using our stacking approach and in comparison to the transfer learning model of DistilBert, we address and analyze three real-world scenarios concerning the model robustness over completely unseen domains and unseen topics.
Furthermore, with the aim of the automatic assessment of argument strength, we have investigated and compared different (refined) versions of Bert-based models that incorporate external knowledge in the decision layer. Consequently, our method outperforms the baseline model by 13 ± 2% in terms of F1-score through integrating Bert with encoded categorical features.
Beyond our theoretical and methodological proposals, our model of argument quality assessment, annotated corpora, and evaluation approaches are publicly available, and can serve as strong baselines for future work in both FinNLP and computational argumentation domains.
Hence, directly exploiting this thesis, we proposed to the community, a new task/challenge related to the analysis of financial arguments: FinArg-1, within the framework of the NTCIR-17 conference.
We also used our proposals to react to the Touché challenge at the CLEF 2021 conference. Our contribution was selected among the «Best of Labs».
To answer the research question, all SPIEGEL covers from 1965 to 2021 were examined for a reference to history topics. The report documents the assignments of the 533 covers recorded to the categories of history narrative, politics of memory and politics of the past.
Main article: https://doi.org/10.3167/jemms.2023.150107
Die vorliegende Forschungsdokumentation stellt die in einer Studie ermittelten Bildtypen auf Covern des Compact-Magazins detailliert mittels der ikonographisch-ikonologischen Analyse vor. Vor dem theoretischen Hintergrund des populism by the media kann aufgezeigt werden, dass sich in der visuellen Darstellung von PolitikerInnen auf den Compact-Titelbildern sowohl Variationen in der visuellen Inszenierung der populistischen Dichotomie zwischen ‚Volk‘ und ‚Elite‘ finden als auch die rechtspopulistische Konstruktion eines ethnokulturell homogenen Volkes.
A Comprehensive Comparison of Fuzzy Extractor Schemes Employing Different Error Correction Codes
(2023)
This thesis deals with fuzzy extractors, security primitives often used in conjunction with Physical Unclonable Functions (PUFs). A fuzzy extractor works in two stages: The generation phase and the reproduction phase. In the generation phase, an Error Correction Code (ECC) is used to compute redundant bits for a given PUF response, which are then stored as helper data, and a key is extracted from the response. Then, in the reproduction phase, another (possibly noisy) PUF response can be used in conjunction with this helper data to extract the original key.
It is clear that the performance of the fuzzy extractor is strongly dependent on the underlying ECC. Therefore, a comparison of ECCs in the context of fuzzy extractors is essential in order to make them as suitable as possible for a given situation. It is important to note that due to the plethora of various PUFs with different characteristics, it is very unrealistic to propose a single metric by which the suitability of a given ECC can be measured.
First, we give a brief introduction to the topic, followed by a detailed description of the background of the ECCs and fuzzy extractors studied. Then, we summarise related work and describe an implementation of the ECCs under consideration. Finally, we carry out the actual comparison of the ECCs and the thesis concludes with a summary of the results and suggestions for future work.
Code injection attacks like the one used in the high-profile 2017 Equifax breach, have become increasingly common, ranking at the top of OWASP’s list of critical web application vulnerabilities. The injection attacks can also target embedded applications running on processors like ARM and Xtensa by exploiting memory bugs and maliciously altering the program’s behavior or even taking full control over a system. Especially, ARM’s support of low power consumption without sacrificing performance is leading the industry to shift towards ARM processors, which advances the attention of injection attacks as well.
In this thesis, we are considering web applications and embedded applications (running on ARM and Xtensa processors) as the target of injection attacks. To detect injection attacks in web applications, taint analysis is mostly proposed but the precision, scalability, and runtime overhead of the detection depend on the analysis types (e.g., static vs dynamic, sound vs unsound). Moreover, in the existing dynamic taint tracking approach for Java- based applications, even the most performant can impose a slowdown of at least 10–20% and often far more. On the other hand, considering the embedded applications, while some initial research has tried to detect injection attacks (i.e., ROP and JOP) on ARM, they suffer from high performance or storage overhead. Besides, the Xtensa has been neglected though used in most firmware-based embedded WiFi home automation devices.
This thesis aims to provide novel approaches to precisely detect injection attacks on both the web and embedded applications. To that end, we evaluate JavaScript static analysis frameworks to evaluate the security of a hybrid app (JS & native) from an industrial partner, provide RIVULET – a tool that precisely detects injection attacks in Java-based real-world applications, and investigate injection attacks detection on ARM and Xtensa platforms using hardware performance counters (HPCs) and machine learning (ML) techniques.
To evaluate the security of the hybrid application, we initially compare the precision, scalability, and code coverage of two widely-used static analysis frameworks—WALA and SAFE. The result of our comparison shows that SAFE provides higher precision and better code coverage at the cost of somewhat lower scalability. Based on these results, we analyze the data flows of the hybrid app via taint analysis by extending the SAFE’s taint analysis and detected a potential for injection attacks of the hybrid application.
Similarly, to detect injection attacks in Java-based applications, we provide Rivulet which monitors the execution of developer-written functional tests using dynamic taint tracking. Rivulet uses a white-box test generation technique to re-purpose those functional tests to check if any vulnerable flow could be exploited. We compared Rivulet to the state-of-the-art static vulnerability detector Julia on benchmarks and Rivulet outperformed Julia in both false positives and false negatives. We also used Rivulet to detect new vulnerabilities.
Moreover, for applications running on ARM and Xtensa platforms, we investigate ROP1 attack detection by combining HPCs and ML techniques. We collect data exploiting real- world vulnerable applications and small benchmarks to train the ML. For ROP attack detection on ARM, we also implement an online monitor which labels a program’s execution as benign or under attack and stops its execution once the latter is detected. Evaluating our ROP attack detection approach on ARM provides a detection accuracy of 92% for the offline training and 75% for the online monitoring. Similarly, our ROP attack detection on the firmware-only Xtensa processor provides an overall average detection accuracy of 79%.
Last but not least, this thesis shows how relevant taint analysis is to precisely detect injection attacks on web applications and the power of HPC combined with machine learning in the control flow injection attacks detection on ARM and Xtensa platforms.
In den vergangenen Jahrzehnten hat es unübersehbar zahlreiche Fortschritte im Bereich der IT-Sicherheitsforschung gegeben, etwa in den Bereichen Systemsicherheit und Kryptographie. Es ist jedoch genauso unübersehbar, dass IT-Sicherheitsprobleme im Alltag der Menschen fortbestehen. Mutmaßlich liegt dies an der Komplexität von Alltagssituationen, in denen Sicherheitsmechanismen und Gerätefunktionalität sowie deren Heterogenität in schwer antizipierbarer Weise mit menschlichem Verständnis und Alltagsgebrauch interagieren. Um die wissenschaftliche Forschung besser auf Menschen und deren IT-Sicherheitsbedürfnisse auszurichten, müssen wir daher den Alltag der Menschen besser verstehen. Das Verständnis von Alltag ist in der Informatik jedoch noch unterentwickelt. Dieser Beitrag möchte das Forschungsfeld “Sicherheit in der Digitalisierung des Alltags” definieren, um Forschenden die Gelegenheit zu geben, ihre Anstrengungen in diesem Bereich zu bündeln. Wir machen dabei Vorschläge einerseits zur inhaltlichen Eingrenzung der informatischen Forschung. Andererseits möchten wir durch die Einbeziehung von Forschungsmethoden aus der Ethnografie, die Erkenntnisse aus der durchaus subjektiven Beobachtung des “Alltags” vieler einzelner Individuen zieht, zur methodischen Weiterentwicklung interdisziplinärer Forschung in diesem Feld beitragen. Die IT- Sicherheitsforschung kann dann Bestehendes gezielt für eine richtige Alltagstauglichkeit optimieren und neue grundlegende Sicherheitsfunktionalitäten für die konkreten Herausforderungen im Alltag entwickeln.
Due to the increasing amount of distributed renewable energy generation and the emerging high demand at consumer connection points, e. g., electric vehicles, the power distribution grid will reach its capacity limit at peak load times if it is not expensively enhanced. Alternatively, smart flexibility management that controls user assets can help to better utilize the existing power grid infrastructure for example by sharing available grid capacity among connected electric vehicles or by disaggregating flexibility requests to hybrid photovoltaic battery energy storage systems in households. Besides maintaining an acceptable state of the power distribution grid, these smart grid applications also need to ensure a certain quality of service and provide fairness between the individual participants, both of which are not extensively discussed in the literature. This thesis investigates two smart grid applications, namely electric vehicle charging-as-a-service and flexibility-provision-as-a-service from distributed energy storage systems in private households.
The electric vehicle charging service allocation is modeled with distributed queuing-based allocation mechanisms which are compared to new probabilistic algorithms. Both integrate user constraints (arrival time, departure time, and energy required) to manage the quality of service and fairness. In the queuing-based allocation mechanisms, electric vehicle charging requests are packetized into logical charging current packets, representing the smallest controllable size of the charging process. These packets are queued at hierarchically distributed schedulers, which allocate the available charging capacity using the time and frequency division multiplexing technique known from the networking domain. This allows multiple electric vehicles to be charged simultaneously with variable charging currents. To achieve high quality of service and fairness among electric vehicle charging processes, dynamic weights are introduced into a weighted fair queuing scheduler that considers electric vehicle departure time and required energy for prioritization. The distributed probabilistic algorithms are inspired by medium access protocols from computer networking, such as binary exponential backoff, and control the quality of service and fairness by adjusting sampling windows and waiting periods based on user requirements.
The second smart grid application under investigation aims to provide flexibility provision-as-a-service that disaggregates power flexibility requests to distributed battery energy storage systems in private households. Commonly, the main purpose of stationary energy storage is to store energy from a local photovoltaic system for later use, e. g., for overnight charging of an electric vehicle. This is optimized locally by a home energy management system, which also allows the scheduling of external flexibility requests defined by the deviation from the optimal power profile at the grid connection point, for example, to perform peak shaving at the transformer. This thesis discusses a linear heuristic and a meta heuristic to disaggregate a flexibility request to the single participating energy management systems that are grouped into a flexibility pool. Thereby, the linear heuristic iteratively assigns portions of the power flexibility to the most appropriate energy management system for one time slot after another, minimizing the total flexibility cost or maximizing the probability of flexibility delivery. In addition, a multi-objective genetic algorithm is proposed that also takes into account power grid aspects, quality of service, and fairness among par-ticipating households. The genetic operators are tailored to the flexibility disaggregation search space, taking into account flexibility and energy management system constraints, and enable power-optimized buffering of fitness values.
Both smart grid applications are validated on a realistic power distribution grid with real driving patterns and energy profiles for photovoltaic generation and household consumption. The results of all proposed algorithms are analyzed with respect to a set of newly defined metrics on quality of service, fairness, efficiency, and utilization of the power distribution grid. One of the main findings is that none of the tested algorithms outperforms the others in all quality of service metrics, however, integration of user expectations improves the service quality compared to simpler approaches. Furthermore, smart grid control that incorporates users and their flexibility allows the integration of high-load applications such as electric vehicle charging and flexibility aggregation from distributed energy storage systems into the existing electricity distribution infrastructure. However, there is a trade-off between power grid aspects, e. g., grid losses and voltage values, and the quality of service provided. Whenever active user interaction is required, means of controlling the quality of service of users’ smart grid applications are necessary to ensure user satisfaction with the services provided.
The nationalism-patriotism distinction is one of the most influential distinctions in the field of political psychology. While frequently used, the distinction suffers from a number of shortcomings that have hitherto been devoted little attention to. This dissertation aims to contribute to fill this research gap by systematically addressing these pitfalls. Notably, it does not abandon the binary distinction as such, but aims to further refine it. Thoroughly revisiting the nationalism-patriotism distinction, it synthesises the field's two predominant research traditions, i.e. the work of Kosterman and Feshbach (1989) in the U.S. and the one of Blank and Schmidt (2003) in Germany, that have not been brought into dialogue. In so doing, and engaging with research on attachment, it calls for a more nuanced triad of attachments: nationalism, that revolves around the nation; patriotism, that refers to the homeland; and democratic patriotism with democracy as its object of attachment. In line with this triad, it introduces a novel three-factor measurement model that has been validated in three studies in Germany. Overall, the dissertation underlines the need to approach ambiguous and complex concepts such as nationalism and patriotism in a more theoretically consistent way before operationalizing them in a rigorous manner.
In the constrained planarity setting, we ask whether a graph admits a crossing-free drawing that additionally satisfies a given set of constraints. These constraints are often derived from very natural problems; prominent examples are Level Planarity, where vertices have to lie on given horizontal lines indicating a hierarchy, Partially Embedded Planarity, where we extend a given drawing without modifying already-drawn parts, and Clustered Planarity, where we additionally draw the boundaries of clusters which recursively group the vertices in a crossing-free manner. In the last years, the family of constrained planarity problems received a lot of attention in the field of graph drawing. Efficient algorithms were discovered for many of them, while a few others turned out to be NP-complete. In contrast to the extensive theoretical considerations and the direct motivation by applications, only very few of the found algorithms have been implemented and evaluated in practice.
The goal of this thesis is to advance the research on both theoretical as well as practical aspects of constrained planarity. On the theoretical side, we consider two types of constrained planarity problems. The first type are problems that individually constrain the rotations of vertices, that is they restrict the counter-clockwise cyclic orders of the edges incident to vertices. We give a simple linear-time algorithm for the problem Partially Embedded Planarity, which also generalizes to further constrained planarity variants of this type.
The second type of constrained planarity problem concerns more involved planarity variants that come down to the question whether there are embeddings of one or multiple graphs such that the rotations of certain vertices are in sync in a certain way. Clustered Planarity and a variant of the Simultaneous Embedding with Fixed Edges Problem (Connected SEFE-2) are well-known problems of this type. Both are generalized by our Synchronized Planarity problem, for which we give a quadratic algorithm. Through reductions from various other problems, we provide a unified modelling framework for almost all known efficiently solvable constrained planarity variants that also directly provides a quadratic-time solution to all of them.
For both our algorithms, a key ingredient for reaching an efficient solution is the usage of the right data structure for the problem at hand. In this case, these data structures are the SPQR-tree and the PC-tree, which describe planar embedding possibilities from a global and a local perspective, respectively. More specifically, PC-trees can be used to locally describe the possible cyclic orders of edges around vertices in all planar embeddings of a graph. This makes it a key component for our algorithms, as it allows us to test planarity while also respecting further constraints, and to communicate constraints arising from the surrounding graph structure between vertices with synchronized rotation.
Bridging over to the practical side, we present the first correct implementation of PC-trees. We also describe further improvements, which allow us to outperform all implementations of alternative data structures (out of which we only found very few to be fully correct) by at least a factor of 4. We show that this yields a simple and competitive planarity test that can also yield an embedding to certify planarity. We also use our PC-tree implementation to implement our quadratic algorithm for solving Synchronized Planarity. Here, we show that our algorithm greatly outperforms previous attempts at solving related problems like Clustered Planarity in practice. We also engineer its running time and show how degrees of freedom in the theoretical algorithm can be leveraged to yield an up to tenfold speed-up in practice.
Das chinesische Zivilgesetzbuch wurde am 28. Mai 2020 verkündet, mit vielen Änderungen gegenüber der vorherigen Gesetzgebung. In diesem Zusammenhang ist das Leistungsstörungsrecht, das ein Kerngebiet des Schuldrechts ist, neu zu erfassen. Dies soll insbesondere anhand des deutschen Leistungsstörungsrechts und eines Vergleichs zwischen beiden geschehen. Die vorliegende Arbeit befasst sich daher mit einer Reihe grundlegender Fragen des chinesischen Leistungsstörungsrechts. So kann man sich über die Herkunft des chinesischen Vertragsrechts, seinen gegenwärtigen Stand, das rechtliche Regelsystem sowie die einschlägige Behandlung in der Rechtsprechung informieren.
Systems-focused error prevention efforts are internationally recognized in the healthcare industry, and industry efforts to identify and correct organizational defects through the process of CRM are well established in the U.S. and Germany. However, in both countries, there is no clear corresponding liability for healthcare organizations who fail to engage in systems-based learning through the process of clinical risk management (CRM). Although both jurisdictions do recognize organization-based theories of liability, liability for negligent CRM has not been explicitly recognized by courts in either jurisdiction to date. German legal scholars, recognizing this gap in liability for healthcare organizations, have written in support of finding liability for negligent CRM under existing tort law; however, there is no corresponding discussion in the American legal literature. This dissertation fills that gap with a comparative analysis of medical negligence law in the U.S. and Germany through the international lens of modern medical error prevention science and policy to articulate a legal basis and sketch the evidentiary framework for tort liability based on negligent CRM.
Data has become a necessary resource for firm operations in the modern digital world, explaining their growing data gathering efforts. Due to this development, consumers are confronted with decisions to disclose personal data on a daily basis, and have become increasingly intentional about data sharing. While this reluctance to disclose personal data poses challenges for firms, at the same time, it also creates new opportunities for improving privacy-related interactions with customers. This dissertation advocates for a more holistic perspective on consumers’ privacy-related decision-making and introduces the consumer privacy journey consisting of three subsequent phases: pre data disclosure, data disclosure, post data disclosure. In three independent essays, I stress the importance of investigating data requests (i.e., the first step of this journey) as they represent a largely neglected, yet, potentially powerful means to influence consumers’ decision-making and decision-evaluation processes. Based on dual-processing models of decision-making, this dissertation focuses on both consumers’ cognitive and affective evaluations of privacy-related information: First, Essay 1 offers novel conceptualizations and operationalizations of consumers’ perceived behavioral control over personal data (i.e., cognitive processing) in the context of Artificial Intelligence (AI)-based data disclosure processes. Next, Essay 2 examines consumers’ cognitive and affective processing of a data request that entails relevance arguments as well as relevance-illustrating game elements. Finally, Essay 3 categorizes affective cues that trigger consumers’ affective processing of a data request and proposes that such cues need to fit with a specific data disclosure situation to foster long-term decision satisfaction. Collectively, my findings provide research and practice with new insights into consumers’ privacy perceptions and behaviors, which are particularly valuable in the context of complex, new (technology-enabled) data disclosure situations.
Eva Hörmanns Beitrag „Die Rohingya-Krise: Eine Analyse der Reaktion der Vereinten Nationen auf die Massenverbrechen" widmet sich der agenda-setting-Rolle der UN für den Nachweis von Massengräueln.
Dariush Movahedian untersucht in „Dröhnendes Schweigen - Deutsche Politik und Medien zu Massenverbrechen im Tigray-Konflikt" Deutschlands Rolle in Bezug auf die Massengräuel in Äthiopien.
Sheila Riek beleuchtet in "German Colonialism in Namibia and the Continuity of Structural lnjustice: Analysing the Parliament's Engagement with the Herero and Nama Genocide" die Erinnerungspolitik Deutschlands, was die Kolonialverbrechen des Deutschen Reiches in Namibia angeht.
Dabei betreten die Beiträge oft auch theoretisches Neuland. Schließlich ist „Schweigen" bislang nicht prominent in den Internationalen Beziehungen bearbeitet worden. Während Dariush Movahedian mit der Diskursgebundenen Identitätstheorie Schweigen in der Politik, nicht aber in den Medien entdecken kann, arbeitet Eva Hörmann mit dem Spiralmodell des Transnationalen Konstruktivismus, um Schweigen gegenüber Massenverbrechen analytisch zu fassen. Sheila Riek bevorzugt dahingegen eine kritische Perspektive, indem sie Ansätze von Structural Injustice und die kritische Diskursanalyse nutzt, um Schweigen zur Herrschaftssicherung aufzudecken.
Mit diesen Studien wird die Bandbreite und der Reichtum von IB-Perspektiven deutlich - und wir verstehen wieder ein kleines bisschen besser, wann, wie und warum wir schweigen.
Inhalt:
Eva Hörmann
Die Rohingya-Krise
Eine Analyse der Reaktion der Vereinten Nationen auf die Massenverbrechen
Sheila-Ann Riek
German Colonialism in Namibia and the Continuity of Structural Injustice
Analysing the Parliament's Engagement with the Herero and Nama Genocide
Dariush Movahedian Moghadam
Dröhnendes Schweigen
Deutsche Politik und Medien zu Massenverbrechen im Tigray-Konflikt
Was möchten Politikerinnen und Politiker mit dem Gesagten wirklich ausdrücken? Welchen spezifischen Zweck erfüllen bestimmte Worte im politischen Kontext?
In dieser Arbeit wird die sprachliche Signifikanz des Zusammenspiels von Frame-Semantik und Plastikwörtern im Kontext der Politik des 21. Jahrhunderts untersucht. Nach der Vorstellung dieser beiden Theorien werden grundlegende Definitionen aus der Frame-Semantik und der Forschung zu Plastikwörtern adaptiert, um das Vokabular in der politischen Kommunikation fachlich adäquat analysieren zu können. Für diese politolinguistische Analyse wurde eigenständig ein Untersuchungskorpus erstellt, das aus Reden und Redeanteilen von deutschen Politikerinnen und Politikern aus dem Zeitraum von 2005 bis 2020 besteht. Das Korpus umfasst Reden bzw. Redeanteile verschiedener Politikerinnen und Politiker. Die korpuslinguistische Analyse soll den Zusammenhang zwischen Frame-Semantik und Plastikwörtern in der Politik, sowie die dabei auftretenden sprachlichen Muster und Praktiken empirisch nachweisen. Hierzu wurde eine com-putergestützte Analyse mithilfe der Programmiersprachen Python und R durchgeführt.
Sprache in der Politik bietet einen relevanten Themenbereich der Sprachwissenschaft. Sie ist durch die Medien in der Gesellschaft omnipräsent und betrifft alle Bürgerinnen und Bürger. Aus diesem Grund ist die Bearbeitung dieses Fachgebietes von allgemeinem Interesse. Der kombinierte quantitative wie qualitative Einsatz von Frame-Semantik und Plastikwort-Forschung bei der Analyse eines politiksprachlichen Korpus stellt ein Forschungsdesiderat dar.
Diese Arbeit zeigt mittels einer vergleichenden Analyse repräsentativer Einzelwerke aus der frankophonen Romanproduktion die Kerndiskurse der französischsprachigen Dystopie im 21. Jahrhundert auf. Durch die Herausarbeitung der neuen thematischen Schwerpunkte wird nicht nur umfassend Einblick in die Gattungsentwicklung der letzten Jahre im Rahmen der frankophonen Kulturlandschaft gegeben, sondern es treten dabei sowohl die dystopischen Anliegen und Befürchtungen hervor, die spezifisch für die französische Bevölkerung sind, als auch andere, die gewissermaßen als allgemein zivilisatorisch angesehen werden können.
Die vorliegende Doktorarbeit untersucht anhand umfangreichen Aktenmaterials die Sicht und die politische Reaktion der Großmacht Preußen auf die Entwicklung des frühen Risorgimento 1815 – 1847/48 in seiner grenzüberschreitenden Bedeutung. Grundlage der Betrachtung ist die chronologische Korrespondenz zwischen dem preußischen Ministerium der auswärtigen Angelegenheiten in Berlin und den für Italien zuständigen preußischen Gesandtschaften in Turin, Florenz, Rom, Neapel und Wien.
Diese Monographie schildert die Lebensgeschichte des Malers Friedrich Dürck (1809 Leipzig – 1884 München) von seiner familiären Herkunft über seine künstlerische Ausbildung, sein familiäres und soziales Leben bis zu seinem Tod. Ein weiteres Kapitel trägt die zeitgenössische Rezeption seiner Werke zusammen und setzt sie in Bezug zur Porträtmalerei des 19. Jahrhunderts. Seine Malweise und seine Sujets werden kritisch analysiert. Ein Werkverzeichnis wurde anhand von Originalen, Nachbildern und literarischen Quellen unter den Rubriken Porträt, Genre und Landschaft erstellt. Seine Zeichnungen, Aquarelle, Wandgemälde, Studien, Ölskizzen und Drucke wurden auch auf dieser Weise erfasst. Ebenso wurden die von ihm erstellten Kopien und die nach seinen Originalen angefertigten Nachbilder kritisch verzeichnet.
Der vorliegende Band rückt verschiedene Aspekte und Diskurse rund um Elias’ Schaffen in den Vordergrund und kontextualisiert die generelle soziologische Relevanz seines Schaffens. Er liefert einen Überblick über die aktuelle Elias-Forschung und verdeutlicht den Stellenwert und die Anschlussfähigkeit des Elias’schen Werks für sozialwissenschaftliche bzw. sozialtheoretische Debatten, insbesondere hinsichtlich zeitgenössischer gesellschaftlicher Entwicklungen. Dabei zeigt sich: Die Wissenschaft selbst, so Elias, läuft Gefahr, sich in Mythen zu verfangen, während sie die Mythen der Wirklichkeit unter die Lupe nimmt. Somit ist Mythenjagd nicht nur ein Schlagwort, sondern auch eine Devise, unter die sich Elias’ Gesamtwerk stellen lässt.
CNT-PUFs: highly robust and heat-tolerant carbon-nanotube-based physical unclonable functions
(2023)
In this work, we explored a highly robust and unique Physical Unclonable Function (PUF) based on the stochastic assembly of single-walled Carbon NanoTubes (CNTs) integrated within a wafer-level technology. Our work demonstrated that the proposed CNT-based PUFs are exceptionally robust with an average fractional intra-device Hamming distance well below 0.01 both at room temperature and under varying temperatures in the range from 23 °C to 120 °C. We attributed the excellent heat tolerance to comparatively low activation energies of less than 40 meV extracted from an Arrhenius plot. As the number of unstable bits in the examined implementation is extremely low, our devices allow for a lightweight and simple error correction, just by selecting stable cells, thereby diminishing the need for complex error correction. Through a significant number of tests, we demonstrated the capability of novel nanomaterial devices to serve as highly efficient hardware security primitives.
Rechtsfragen algorithmischer Preisdiskriminierung.
Eine rechtsgebietsübergreifende Untersuchung
(2023)
Felix Rützel legt in seiner Untersuchung der algorithmischen Preisdiskriminierung den Fokus auf die Zusammenhänge zwischen den verschiedenen Rechtsgebieten. Indem er die jeweils bestehenden rechtlichen Rahmenbedingungen skizziert und aufzeigt, wo Änderungsbedarf besteht, um auf diese Preisstrategie zu reagieren, bietet die Analyse des Autors praxisnahe, interessengeleitete Lösungen, die die Lücken der aktuellen Forschung schließen.
This book collects ten of Sandra Huebenthal’s most important contributions to the application of Social Memory Theory in Biblical studies. The volume consists of four parts, each devoted to a particular field of research. Part one addresses the general impact of Social Memory Theory for the New Testament. The second part analyzes how Social Memory Theory adds to exploring the phenomenon of (biblical) intertextuality as a strategy for negotiating Early Christian identity and the third part investigates how New Testament pseudepigraphy provides a different approach for understanding the negotiation and formation of Christian identities. Finally, part four provides an outlook how the hermeneutical approach can enhance Patristic research. The ten essays originate from discussions about Social Memory Theory and the New Testament at international conferences, three of them are translations of German contributions, while two are published for the first time in this volume.
(Verlagsbeschreibung)
From transportation to urbanization, energy and digitalization, China-backed projects of infrastructural development are increasingly common throughout Southeast Asia and the global South as both a means and outcome of development. This trend has accelerated since China’s Belt and Road Initiative (BRI) in 2013. Against this backdrop, the present ASEAS issue invites to rethink the roles infrastructure plays in forms of development that place connectivity at the center.
Contents:
Simon Rowedder, Phill Wilcox & Susanne Brandtstädter
Negotiating Chinese Infrastructures of Modern Mobilities: Insights from Southeast Asia
Current Research on Southeast Asia
Panitda Saiyarod
The Deviated Route: Navigating the Logistical Power Landscape of the Mekong Border Trade
Franziska S. Nicolaisen
The Politicization of Mobility Infrastructures in Vietnam — The Hanoi Metro Project at the Nexus of Urban Development, Fragmented Mobilities, and National Security
Arratee Ayuttacorn
Chinese Investor Networks and the Politics of Infrastructure Projects in the Eastern Economic Corridor in Thailand
Karin Dean
Belt and Road Initiative in Northern Myanmar: The Local World of China’s Global Investments
Mira Käkönen
Entangled Enclaves: Dams, Volatile Rivers, and Chinese Infrastructural Engagement in Cambodia
Research Workshop
Tim Oakes
Infrastructure Power, Circulation and Suspension
Susanne Brandtstädter
Infrastructural Fragility, Infra-Politics and Jianghu
Book Reviews
Michael Kleinod-Freudenberg
Book Review: Tappe, O., & Rowedder, S. (Eds.). (2022). Extracting Development: Contested Resource Frontiers in Mainland Southeast Asia
Rechtsanwälte haben rechtsordnungsübergreifend eine wichtige rechtsstaatliche Funktion. Doch anders als die richterliche Unabhängigkeit, die in den europäischen wie mitgliedstaatlichen Verfassungstexten ausdrücklich erwähnt wird, gilt dies für Rechtsanwälte und die Rechtsanwaltschaft als Institution zumeist nicht. Der berufsfreiheitliche und verfassungsgerichtliche Schutz anwaltlicher Berufsausübung in Deutschland kennt keine Entsprechung in Frankreich, wo dieser bislang der berufsständischen Selbstverwaltung überantwortet ist. Der Autor vermisst die anwaltliche Berufsfreiheit im deutschen Verfassungsrecht neu. Diese stellt sich als dienende Freiheitsgewährleistung dar. Zugleich werden erstmals grundrechtliche Maßstäbe für die Regulierung des Anwaltsberufs in Frankreich aufgezeigt. Der Grundrechtsvergleich lässt als gemeinsame Elemente die Fremdnützigkeit und Normgeprägtheit der anwaltlichen Grundrechte hervortreten.
Die Arbeit ist 2023 mit dem Dissertationspreis »Prix des affaires« der Deutsch-Französischen Hochschule und dem Promotionspreis des Vereins der Freunde und Förderer der Rechtswissenschaften an der Universität Passau e.V. ausgezeichnet worden.
Vergeschlechtlichte Ungleichheiten in der Wissenschaft sind seit langem bekannt und bestehen trotz aller Gegenmaßnahmen fort. Gender Gaps zeigen sich nicht nur in der universitären Personalstruktur, sondern auch in der Wissenschaftspraxis: Akademische Leistungen von Frauen erhalten oft weniger Anerkennung. Hierfür hat sich die Bezeichnung Matilda-Effekt etabliert. Dieser Beitrag nimmt die für die Reputationsverteilung zentrale Praxis des Zitierens netzwerkanalytisch in den Blick und fragt, ob es in der deutschsprachigen Humangeographie einen Gender Citation Gap gibt.
In the Internet of Things (IoT), Low-Power Wide-Area Networks (LPWANs) are designed to provide low energy consumption while maintaining a long communications’ range for End Devices (EDs). LoRa is a communication protocol that can cover a wide range with low energy consumption. To evaluate the efficiency of the LoRa Wide-Area Network (LoRaWAN), three criteria can be considered, namely, the Packet Delivery Rate (PDR), Energy Consumption (EC), and coverage area. A set of transmission parameters have to be configured to establish a communication link. These parameters can affect the data rate, noise resistance, receiver sensitivity, and EC. The Adaptive Data Rate (ADR) algorithm is a mechanism to configure the transmission parameters of EDs aiming to improve the PDR. Therefore, we introduce a new algorithm using the Multi-Armed Bandit (MAB) technique, to configure the EDs’ transmission parameters in a centralized manner on the Network Server (NS) side, while improving the EC, too. The performance of the proposed algorithm, the Low-Power Multi-Armed Bandit (LP-MAB), is evaluated through simulation results and is compared with other approaches in different scenarios. The simulation results indicate that the LP-MAB’s EC outperforms other algorithms while maintaining a relatively high PDR in various circumstances.
Teaching Journalism Literacy in Schools: The Role of Media Companies as
Media Educators in Germany
(2023)
German journalism is facing major challenges including declining circulation, funding, trust, and political allegations of spreading disinformation. Increased media literacy in the population is one way to counter these issues and their implications. This especially applies to the sub‐concept of journalism literacy, focusing on the ability to consume news critically and reflectively, thus enabling democratic participation. For media companies, promoting journalism literacy seems logical for economic and altruistic reasons. However, research on German initiatives is scarce. This article presents an explorative qualitative survey of experts from seven media companies offering journalistic media education projects in German schools, focusing on the initiatives’ content, structure, and motivation. Results show that initiatives primarily aim at students and teachers, offering mostly education on journalism (e.g., teaching material) and via journalism (e.g., journalistic co‐production with students). While these projects mainly provide information on the respective medium and journalistic practices, dealing with disinformation is also a central goal. Most initiatives are motivated both extrinsically (e.g., reaching new audiences) and intrinsically (e.g., democratic responsibility). Despite sometimes insufficient resources and reluctant teachers, media companies see many opportunities in their initiatives: Gaining trust and creating resilience against disinformation are just two examples within the larger goal of enabling young people to be informed and opinionated members of a democratic society.
This article presents a proposal on how the European Union’s regulatory framework on genetically modified (GM) plants should be reformed in light of recent developments in genomic plant breeding techniques. The reform involves a three-tier system reflecting the genetic changes and resulting traits of GM plants. The article is intended to contribute to the ongoing debate over how best to regulate plant gene editing techniques in the EU.
In empirical research, scholars can choose between an exploratory causes-of-effects analysis, a confirmatory effects-ofcauses approach, or a mechanism-of-effects analysis that can be either exploratory or confirmatory. Understanding the choice between the approaches is important for two reasons. First, the added value of each approach depends on how much is known about the phenomenon of interest at the time of the analysis. Second, because of the specializations of methods, there are benefits to a division of labor between researchers who have expertise in the application of a given method. In this preregistered study, we test two hypotheses that follow from these arguments. We theorize that exploratory research is chosen when little is known about a phenomenon and a confirmatory approach is taken when more knowledge is available. A complementary hypothesis is that quantitative researchers opt for confirmatory designs and qualitative researchers for exploration because of their academic socialization. We test the hypotheses with a survey experiment of more than 900 political scientists from the United States and Europe. The results indicate that the state of knowledge has a significant and sizeable effect on the choice of the approach. In contrast, the evidence about the effect of methods expertise is more ambivalent.
Auseinandersetzungen mit Sterben, Tod und Trauer sind gesellschaftlich von permanenter Relevanz. Theoretische Zugänge und empirische Analysen zu diesem Themenfeld finden im Jahrbuch für Tod und Gesellschaft ein interdisziplinäres Forum. Neben der Vertiefung aktueller Debatten und der Besprechung von Neuerscheinungen dient das Periodikum der Weiterentwicklung der thanato(-sozio-)logischen Erkenntnis sowie der (inter-)nationalen Vernetzung. Der thematische Horizont der zweiten Ausgabe umfasst u.a. Verwitwung, Foto-Sharing am Lebensende, Death Education und visuelle Tabus in der qualitativen Forschung.
Macht und Legitimität der europäischen Argumentationszusammenhänge haben gelitten. Dennoch zählen Interessen und Ideen in Europa weiter nur dann, wenn sie als Argumente vorgebracht werden. Jenseits des Argumentierens ist Europa unregierbar. Zwei Fragen stehen im Zentrum des Bandes: Was meint Argumentieren? Wie lauten die Argumente Europas?
Mit Aristoteles und Wittgenstein entwickelt der erste Teil eine Methode zur Narration politischer Argumentationszusammenhänge. Der zweite Teil legt eine historische Sprachspieltopik von der Montanunion bis zum Green New Deal vor.
Das Buch ist gleichermaßen interessant für alle mit praktischem Interesse an der EU wie für alle mit sprachphilosophischem Interesse an der Politikwissenschaft.
My dissertation examines literary mythologies of privacy in the authoritarian Russia of 1953–1985. This era was marked by an expansion of “non-state spheres,” or areas of life of which the Communist state increasingly released its control after Joseph Stalin’s death in 1953. Political elites, architects, and designers, as well as ordinary citizens co-constructed and explored the rising spheres through the languages of their respective fields—by producing regulations and laws, designing and erecting new types of buildings, developing new and modernizing already familiar everyday objects as well as devising new ways of integrating these objects into private and public spaces. Alongside these voices, transformations in the cultural sphere in general, and literature in particular, were most vocal. The late Soviet era witnessed the dissolution of the ossified ideology of socialist realism that focused on the glorification of the “new Soviet man” and had held culture in its tight grips since the 1930s. Starting from the 1950s, writers increasingly focused on portraying areas of life that lay beyond one’s public commitments and experimented with new meanings, codes, and forms to give shape to novel spheres of experience of the “late Soviet man” that can be subsumed under the concept of the “private sphere.”
The analytical framework of my dissertation is built around the journey to understand the mechanisms and architecture that powered the imagination of models of distancing oneself from the state and the society at large—scenarios of privacy, as we may call them today. I examine Russian prose and drama of the 1950s–1980s as a laboratory for the ideas of privacy, which was increasingly sought in the society disillusioned by the Communist doctrine and thus progressively alienating from active participation in the public sphere. I analyze the meanings that writers incorporated into new and old forms of domesticity—private flats that became progressively widespread throughout the 1950s–1980s, rooms in communal apartments, individual houses—to determine the spectrum of concepts that nurtured the idea of privacy in the late Soviet literary imagination. I also examine representations of reciprocal paradigms of relations between subjects from which the state and society at large were increasingly excluded. In the examples that I analyze, forms of private withdrawals variate from establishing control over liminal spaces or escaping into the world of feelings and emotions and building a connection to a person or space (significant for the characters for private rather than public reasons) to experimenting with language and pursuing one’s idiolect despite the ubiquitous “officialese,” as well as living in temporalities asynchronous with the public time.
Beyond revealing the visions of different, non-state existences in the late Soviet era, my text also advocates examining the role of official literature as a platform for subversion and change that was no less important in an authoritarian state than dissident literature. I see officially published texts as a cultural subaltern who defies the state of affairs and slowly but firmly turns the “state sphere” into a public one by pushing its own agenda through publications that test and gain ground for bolder visions of Soviet life that are not predicated on the commitment to the public sphere. With individual mechanisms of power assertion employed by the state or literature in the late Soviet era well-researched, the framework is still missing that would capture the shifts of borders between the private and public spheres under the influence of these actors. In devising such framework, I build upon sociological theories of disattendability and civil inattention that Erving Goffman conceived to describe conventions of individual behavior and social interaction in public. Extending these theories toward the studies of literary politics, I argue that by envisioning scenarios of a private retreat and bringing them into officially published editions, literature normalized privacy as a late Soviet imaginary and, therefore, continuously heightened its own disattendability, thereby expanding the borders of the private sphere. On the side of the state, the border was defined by the triggers of disturbance of civil inattention: privacy was conceded in return for disattendability. Under such conditions, literature became a bizarre “private kitchen” that performed private and public functions simultaneously—similar to the kitchens in newly-built individual apartments that were popular loci of socialization in the late Soviet era. It turned into a place where one can escape—it became one of the “niches of privacy” where it was possible to discuss and negotiate the world, in which the society lived or to which it should strive. At the same time, it assumed the role of a surrogate for the public sphere within the “state” sphere by pushing its own agenda through the publication of literary texts that sought to imagine a person rather than a cog in the Communist machine and thus transformed socialist realism into a literary current “with a human face.”
In my research, privacy, literature, and politics are bound together to reveal a vibrant spectacle of the continuous interaction between the state, cultural elites, and the citizens, in which thresholds are erected and crossed incessantly. Fictional private sites were battlefields for the production and contestation of ideologies, and the exposure of these literary wars to the public eye played a fundamental role in shifting the borders between the private and the public spheres in an authoritarian late Soviet Russia. The patterns of relations between the state and culture that I uncover in my dissertation resonate in neo-authoritarian twenty-first-century Russia, making privacy an important lens for our insight into the role of culture in rising authoritarian and failing democratic systems across the globe.
Technological advancements and new legal requirements are continuously changing the online data disclosure landscape in terms of both, the quantity and quality of data that firms can acquire. Nowadays, consumers are required to disclose personal data online multiple times a day and in a variety of different contexts, such as creating user profiles, online payment or using location-based services. Despite consumers’ increasing online privacy concerns, firms rely ever more strongly on consumer data that they convert into a competitive advantage through personalized product recommendations and targeted advertising. In an effort to encourage consumer data disclosure, many firms have focused on building trust as a way to counterbalance privacy concerns and mitigate risk perceptions. Correspondingly, marketing literature has continued to examine the interplay of trust and consumer privacy concerns. While the extant research has considerably advanced our understanding of the role of trust in privacy-related decision-making, the majority of studies has mainly focused on single-stage, dyadic disclosure settings and cognitive decision-making processes.
Against this background, the overarching goal of this thesis is to shed light on under-researched data disclosure contexts involving trust and to explore additional facets of the underlying decision-making processes. For example, considering pre- and post-disclosure stages when evaluating consumers’ data disclosure decisions allows for a more holistic picture of the decision-making process. Similarly, social media and sharing economy settings challenge the traditional assumption of purely dyadic consumer-firm data disclosure, thus extending traditional conceptualizations of trust. Across three independent essays, this thesis addresses the overarching research question of how the peculiarities of multi-stage and multi-actor settings shape consumers’ trust-based decision-making strategies.
Auseinandersetzungen mit Sterben, Tod und Trauer sind gesellschaftlich von permanenter Relevanz. Theoretische Zugänge und empirische Analysen zu diesem Themenfeld finden im Jahrbuch für Tod und Gesellschaft ein interdisziplinäres Forum. Neben der Vertiefung aktueller Debatten und der Besprechung von Neuerscheinungen dient das Periodikum der Weiterentwicklung der thanato(-sozio-)logischen Erkenntnis sowie der (inter-)nationalen Vernetzung. Der thematische Horizont der zweiten Ausgabe umfasst u.a. Verwitwung, Foto-Sharing am Lebensende, Death Education und visuelle Tabus in der qualitativen Forschung.
In summary, this cumulative dissertation investigates the application of the conjugate gradient method CG for the optimization of artificial neural networks (NNs) and compares this method with common first-order optimization methods, especially the stochastic gradient descent (SGD).
The presented research results show that CG can effectively optimize both small and very large networks. However, the default machine precision of 32 bits can lead to problems. The best results are only achieved in 64-bits computations. The research also emphasizes the importance of the initialization of the NNs’ trainable parameters and shows that an initialization using singular value decomposition (SVD) leads to drastically lower error values. Surprisingly, shallow but wide NNs, both in Transformer and CNN architectures, often perform better than their deeper counterparts. Overall, the research results recommend a re-evaluation of the previous preference for extremely deep NNs and emphasize the potential of CG as an optimization method.
The collection of personal information by organizations has become increasingly essential for social interactions. Nevertheless, according to the GDPR (General Data Protection Regulation), the organizations have to protect collected data. Access Control (AC) mechanisms are traditionally used to secure information systems against unauthorized access to sensitive data. The increased availability of personal sensor data, thanks to IoT-oriented applications, motivates new services to offer insights about individuals. Consequently, data mining algorithms have been proposed to infer personal insights from collected sensor data. Although they can be used for genuine purposes, attackers can leverage those outcomes, combining them with other type of data, and further breaching individuals’ privacy. Thus, bypassing AC mechanisms thanks to such insights is a concrete problem.
We propose an inference detection system based on the analysis of queries issued on a sensor database. The knowledge obtained through these queries, and the inference channels corresponding to the use of data mining algorithms on sensor data to infer individual information, are described using Raw sensor data based Inference ChannEl Model (RICE-M). The detection is carried out by RICE-M based inference detection System (RICE-Sy). RICE-Sy considers at the time of the query, the knowledge that a user obtains via a new query and has obtained via his query history, and determines whether this is sufficient to allow that user to operate a channel. Thus, privacy protection systems can take advantage of the inferences detected by RICE-Sy, taking into account individuals’ information obtained by the attackers via a database of sensors, to further protect these individuals.
Welcher „Idee“ folgt die Universität und welchem Auftrag ist sie verpflichtet? Diese Fragen von Karl Jaspers 1923, 1946 und 1961 ausdrücklich aufgeworfen, bleiben stets aktuell.
Sie müssen im Horizont eines permanenten Wandels immer wieder neu reflektiert werden. Die Antworten nehmen die Universität insgesamt und die jeweils konkrete Hochschule in den Blick. Universität realisiert sich in konkreten Bedingungen in Auseinandersetzung mit den Fragen der Zeit.
Das Buch verbindet generelle Perspektive und spezielle Umsetzung durch Beiträge von außen und innen (hier aus der Universität Passau). Wissenschaft, Politik, Bildung, Wirtschaft treten somit in der Bestimmung der Idee der Universität in einen vielschichtigen Dialog.
Inhalt:
Ulrich Bartosch
Vorwort: Eine Idee der Universität – heute?
Rudolf Speth
Einleitung: Den Kern behalten und sich wandeln: Die Universität vor neuen Herausforderungen
I. Die historische Tiefendimension
Herfried Münkler
Ein virtueller Brückenschlag aus der europäischen Universitätsgeschichte in die Zukunft der Universität Passau
II. Die Universität und die Wissenschaft
Anna Henkel
Disziplinarität zwischen Wissenschaft und Universität
Horst Bischof
Universitäre Forschung quo vadis
Sabine Doering-Manteuffel
Die Universität als Ort des bewussten Widerspruchs
Brigitte Forster-Heinlein
Die Universität als Ort des bewussten Widerspruchs – auch aus Sicht der jungen Forscherinnen und Forscher?
Barbara Zehnpfennig
Universität und Wahrheit
Gesine Schwan
Was ist die Aufgabe von Universitäten?
Carolin Häussler
Wissenschaft: Normen, Spannungsfelder und die Dissemination von wissenschaftlichen Erkenntnissen in die Wirtschaft
III. Reformansätze und Ökonomisierung
Richard Münch
Alle Macht dem Präsidium! Von der Herrschaft der Ordinarien zur unternehmerischen und total administrierten Universität?
Wolfgang A. Herrmann
Die unternehmerische Universität
Ernst Ulrich von Weizsäcker
Virtueller Brückenschlag in die Zukunft der Universität Passau
IV. Das Bayerische Hochschulinnovationsgesetz
Bernd Sibler
Erfolgreiche Hochschulen brauchen exzellente Rahmenbedingungen
Heinrich Oberreuter
Wissenschaft als Dienst am Wissen
Karsten Fitz
Die Universität und die Grenzen des Wettbewerbs
V. Die Universität der Studierenden
Simon Pagany
Die Anfänge der studentischen Vizepräsidentschaft an der Zeppelin Universität
Lorena Puqja und Sophia Rockenmaier
Mitgestaltung auf Augenhöhe: Eine studentische Vizepräsidentschaft für die Universität Passau
Thomas Girst
Umweg statt Abkürzung: Über das Prinzip funktionaler Serendipität für die Lehranstalten der Zukunft
Birgit Beumers
Serendipität und Funktionalität?
VI. Die Universität als Organisation
Ulrike Beisiegel
Herausforderungen der Universitäten der Zukunft
Andreas König
„Universität als Heimat“ als Teil einer Universitätsstrategie
VII. Der Bezug zur Gesellschaft
Uwe Schneidewind
Die Stadt als Campus
Martina Padmanabhan
Was will internationale transdisziplinäre Nachhaltigkeitsforschung in Niederbayern? Das Versprechen der Kleinstadt
Micha Teuscher
Gesellschaftliche Herausforderungen als Impuls für die Entwicklung der Universität
Hannah Schmid-Petri
Öffentlichkeitsdynamiken im digitalen Zeitalter
Manfred Brocker
Eine politische Idee der Universität heute?
Alexander von Gernler
Ambivalenzen von Informatik und Digitalisierung
Florian Töpfl
Wie wissenschaftsskeptische Gegenöffentlichkeiten neue Medien nutzen
VIII. Der besondere Platz der Universität Passau
Christian Thies
Abschied von Humboldt
Hans-Georg Dederer
Die Idee der Universität heute
Michael Grimm
Die neue Approbationsordnung: Ein Plädoyer zur Schließung von Schnittstellen zwischen Medizin und Sozialwissenschaften
Zielsetzung der vorliegenden Arbeit war es, die Dogmatik der Zahlungsverbote endgültig herauszuarbeiten.
Spätestens seit Inkrafttreten des § 15b InsO durch das SanInsFOG kann nicht mehr geleugnet werden, dass es sich bei der Haftung für einen Verstoß gegen das Zahlungsverbot im Rahmen der Insolvenzverschleppungshaftung um eine schadensrechtliche Anspruchsgrundlage handeln muss.
Bislang beschränkte sich die inhaltsanalytische Populismusforschung überwiegend auf textuelle Botschaften, wie etwa Parteiprogramme, Zeitungsartikel oder Online Foren. Erst seit wenigen Jahren werden zunehmend auch visuell vermittelte Botschaften im Zusammenhang mit Populismus Gegenstand politik- und kommunikationswissenschaftlicher Untersuchung. Durch eine Verknüpfung des Ansatzes der Visuellen Politik mit einer Konzeptualisierung von Populismus als Kommunikationsphänomen versteht sich die vorliegende Dissertation als Beitrag zur Erforschung einer Visuellen Politik des Populismus (Moffitt 2022). Empirisch nimmt der Autor die Medienebene in den Fokus und konzentriert sich hierbei auf die ikonographisch-ikonologische Analyse von Magazincovern. So werden einerseits visuelle Darstellungen populistischer Akteure auf den Titelseiten des Nachrichtenmagazins Der Spiegel (Klumpp 2020, 2022) sowie andererseits visuelle Darstellungen des politischen Personals insgesamt auf Covern von Der Spiegel und Compact mittels Bildtypenanalyse (Klumpp 2023) untersucht.
Vanadium redox-flow batteries (VRFBs) have played a significant role in hybrid energy storage systems (HESSs) over the last few decades owing to their unique characteristics and advantages. Hence, the accurate estimation of the VRFB model holds significant importance in large-scale storage applications, as they are indispensable for incorporating the distinctive features of energy storage systems and control algorithms within embedded energy architectures. In this work, we propose a novel approach that combines model-based and data-driven techniques to predict battery state variables, i.e., the state of charge (SoC), voltage, and current. Our proposal leverages enhanced deep reinforcement learning techniques, specifically deep q-learning (DQN), by combining q-learning with neural networks to optimize the VRFB-specific parameters, ensuring a robust fit between the real and simulated data. Our proposed method outperforms the existing approach in voltage prediction. Subsequently, we enhance the proposed approach by incorporating a second deep RL algorithm—dueling DQN—which is an improvement of DQN, resulting in a 10% improvement in the results, especially in terms of voltage prediction. The proposed approach results in an accurate VFRB model that can be generalized to several types of redox-flow batteries.
Since the launch of the BRI, particular modes of movement are integral to its vision of what it means to be a modern world citizen. Nowhere is this more apparent than in Southeast Asia, where China-backed infrastructure projects expand, and at great speed. Such infrastructure projects are carriers of particular versions of modernity, promising rapid mobility to populations better connected than ever before. Yet, until now, little attention has been paid to how mobility and promises of mobility intersect with local understandings of development. In the introduction to this special issue, we argue that it is essential to think about the role infrastructure plays in forms of development that place connectivity at the center. We suggest that considering development, mobility and mo-dernity together is enlightening because it interrogates the connections between these interlocking themes. Through an introduction to five ethnographically grounded papers and two commentaries, all of which engage with infrastructures in different contexts throughout Southeast Asia, we demonstrate that there are significant gaps between of-ficial policy and lived experience. This makes the need to interrogate what infrastructure, mobilities, and global China really mean all the more pressing.
The worldwide adoption of Electric Vehicles (EVs) has embraced promising advancements toward a sustainable transportation system. However, the effective charging scheduling of EVs is not a trivial task due to the increase in the load demand in the Charging Stations (CSs) and the fluctuation of electricity prices. Moreover, other issues that raise concern among EV drivers are the long waiting time and the inability to charge the battery to the desired State of Charge (SOC). In order to alleviate the range of anxiety of users, we perform a Deep Reinforcement Learning (DRL) approach that provides the optimal charging time slots for EV based on the Photovoltaic power prices, the current EV SOC, the charging connector type, and the history of load demand profiles collected in different locations. Our implemented approach maximizes the EV profit while giving a margin of liberty to the EV drivers to select the preferred CS and the best charging time (i.e., morning, afternoon, evening, or night). The results analysis proves the effectiveness of the DRL model in minimizing the charging costs of the EV up to 60%, providing a full charging experience to the EV with a lower waiting time of less than or equal to 30 min.
Desinformation ist eine Konstante der politischen Kommunikation. Doch mit der Wahl Donald Trumps zum Präsidenten der Vereinigten Staaten und der Brexit-Abstimmung in Großbritannien erhielten bewusst lancierte Falschnachrichten eine neue gesellschaftliche Bedeutung. Denn nun wurde sichtbar, welche Wirkungen Falschmeldungen für demokratische Systeme haben. Der Band geht diesem Phänomen auf den Grund, indem er herausarbeitet, was “Fake News” sind. Er geht der Frage nach, wie, warum und von wem sie eingesetzt werden und reflektiert, was man gesellschaftlich und persönlich dagegen tun kann. Das Buch gibt zu diesem Zweck einen Überblick über den aktuellen Stand der empirischen Forschung zu Fake News und Desinformation, besonders mit Blick auf deren Verbreitung, Erkennbarkeit und Wirksamkeit. Zugleich diskutiert er in einer Mischung aus Essays, theoretischen Erörterungen und empirischen Studien die Herausforderungen von Desinformation für unsere Gesellschaft und beleuchtet so das Thema von allen Seiten.
The growing demand for electric vehicles (EV) in the last decade and the most recent European Commission regulation to only allow EV on the road from 2035 involved the necessity to design a cost-effective and sustainable EV charging station (CS). A crucial challenge for charging stations arises from matching fluctuating power supplies and meeting peak load demand. The overall objective of this paper is to optimize the charging scheduling of a hybrid energy storage system (HESS) for EV charging stations while maximizing PV power usage and reducing grid energy costs.
This goal is achieved by forecasting the PV power and the load demand using different deep learning (DL) algorithms such as the recurrent neural network (RNN) and long short-term memory (LSTM). Then, the predicted data are adopted to design a scheduling algorithm that determines the optimal charging time slots for the HESS. The findings demonstrate the efficiency of the proposed approach, showcasing a root-mean-square error (RMSE) of 5.78% for real-time PV power forecasting and 9.70%
for real-time load demand forecasting. Moreover, the proposed scheduling algorithm reduces the total grid energy cost by 12.13%.
People-centred reforestation is one of the ways to achieve natural climate solutions. Ghana has established a people-centred reforestation programme known as the Modified Taunya System (MTS) where local people are assigned degraded forest reserves to practice agroforestry. Given that the MTS is a people-centred initiative, socioeconomic factors are likely to have impact on the reforestation drive. This study aims to understand the role of translocal practices of remittances and visits by migrants on the MTS. Using multi-sited, sequential explanatory mixed methods and the lens of socioecological systems, the study shows that social capital and socioeconomic obligations of cash remittances from, as well as visits by migrants to their communities of origin play positive roles on reforestation under the MTS. Specifically, translocal households have access to, and use remittances to engage relatively better in the MTS than households that do not receive remittances. This shows that translocal practices can have a positive impact on the environment at the area of origin of migrants where there are people-centred environmental policies in place.