@phdthesis{Babel2025, author = {Babel, Christoph Josef}, title = {Virtual evaluation of car body panel surfaces}, doi = {10.26127/BTUOpen-7196}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71960}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {The progression of the automotive industry has introduced a slew of complex designs to meet the personalized style expressions of consumers. However, these intricate designs in premium automobiles present significant manufacturing challenges, especially in detecting and prioritizing the varying severities of cosmetic surface defects. Traditionally, defect identification is performed at the end of the development phase, which is a costly and time-consuming process. This thesis seeks to enhance early defect detection efficiency in the concept phase using artificial intelligence (AI). Through examination of unpainted parts, auditors' perceptual practices, and deep draw simulations, the research aims to establish a virtual prediction method to accurately classify surface defects. The findings of this thesis prove that the geometry of unpainted parts sufficiently predicts potential defects post-painting, refuting the need for physical painted part analysis. The identification process adopted by auditors, grounded in analyzing light distortions on surfaces, is replicated within a neural network. Furthermore, by incorporating physiological optical aspects, the thesis improves the virtual representation of defects, creating a visible and analyzable dataset for AI algorithms. The accuracy of the neural networks trained on such datasets is substantiated by the successful translation of auditors' classification methods into a machine learning environment. In particular, a machine learning approach using Random Forest (RF) algorithms excelled in prefiltering areas of interest based on curvature and strain values. A convolutional recurrent neural network (CRNN) is developed to classify the severity of defects, with the introduction of an annotation application to label data by experts. The CRNN demonstrated a remarkable accuracy of 86 \% in classifying defect severity based on simulation data. Moreover, the study assessed the frame-by-frame localization of defects, where the PatchCore anomaly detection algorithm proves optimal, achieving an F1 Score of 0.86. Overall, the research successfully shows the transferability of expert auditors' perception into a neural network architecture, highlighting the feasibility of implementing AI in early phases of automotive design to predict and classify defects, which has the potential to significantly reduce development costs and improve manufacturing efficiency.}, subject = {Computer vision; Neural network; Deep draw simulation; Rendering; K{\"u}nstliche Intelligenz; Maschinelles Lernen; Umformsimulation; Bildgenerierung; Kraftfahrzeugindustrie; Produktentwicklung; Tiefziehen; Fehlererkennung; Simulation; K{\"u}nstliche Intelligenz; Maschinelles Lernen}, language = {en} } @inproceedings{OPUS4-6163, title = {Visualising significance : mapping as common denominator ; proceedings from the 6th International Conference on Heritage Conservation and Site Management Berlin and Cottbus, 5 and 6 December 2018}, editor = {Skedzuhn-Safir, Alexandra}, doi = {10.26127/BTUOpen-6163}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-61630}, year = {2022}, abstract = {Mapping as a tool and method is foremost employed as a means to analyse and organise information visually. We see maps daily: on television or the internet to see what the weather holds in store for us, on the subway to work, or our cellphones while navigating our way through the streets. Regardless of which objects or events maps record, maps help to filter, organise, and visualise information. However, contemporary maps are still criticised for their hegemonic, Eurocentric representations with their inherent claim for knowledge and, ultimately, legitimisation of power. Maps, with their ability to document heritage and its significance across various scales and objects, are not just tools for interpretation and communication. They also have the potential to challenge political agendas and offer alternative perspectives and narratives. The conference proceedings, which are based on case studies, showcase the diverse range of methodological approaches, data, and actors involved in the mapping process. This diversity underscores the complexity of the field and the many ways in which mapping can be approached and utilised.}, subject = {Cultural heritage; Mapping; Cultural significance; Cultural mapping; Visualisation; Kulturelles Erbe; Kartierung; Kulturelle Bedeutung; Kultur Kartierung; Visualisierung; Kulturerbe; Bedeutung; Kartierung; Visualisierung; Informationsfilterung}, language = {en} } @phdthesis{OuaboKamkumo2025, author = {Ouabo Kamkumo, Florent}, title = {Stochastic epidemic models with partial information and dark figure estimation}, doi = {10.26127/BTUOpen-7197}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71976}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {This thesis presents a novel stochastic modeling framework for epidemic dynamics, focusing on the challenges posed by non-observable states and the gradual decline of immunity, as revealed by the Covid-19 pandemic. Our research develops an extended compartmental model that incorporates sequences of cascade states to accurately represent the progressive loss of immunity after vaccination or recovery. This model, rooted in a non-homogeneous continuous-time Markov chain and approximated by a diffusion process, facilitates efficient computation. The resulting dynamics exhibit non-linearities in both the drift and diffusion coefficients, making the process of hidden state estimation particularly challenging. These complexities highlight the need for advanced techniques to accurately capture and predict the system's behavior under partial observability. A novel approach using cascade states is introduced to tackle the issue of partially hidden compartments where either inflow or outflow is observed, but not both. By leveraging information from observed transitions, this method significantly enhances model accuracy. The framework also enables the application of advanced filtering techniques, particularly the Extended Kalman Filter (EKF), for estimating both hidden epidemic states and time-varying parameters. This allows for calibrating based on real data, ensuring robust and accurate predictions. Furthermore, this thesis extends the methodology to multi-group (multi-patch) models, capturing the complexities of heterogeneous population dynamics. This includes factors such as mobility, super-spreader events, and accounting for partial information. By incorporating these elements, the model provides a more comprehensive understanding of epidemic spread across diverse and interconnected populations. To address the curse of dimensionality often encountered in high-dimensional filtering problems, a modified EKF based on a reduced-order EKF is introduced, leveraging a low-rank approximation of the covariance matrix. This reduced-order EKF allows for stable and efficient estimation of hidden states even with limited computational resources. Finally, the work explores parameter estimation within the partial information context, employing both likelihood-based inference and state augmentation techniques. Numerical experiments demonstrate the model's ability to accurately reproduce observed Covid-19 dynamics in Germany, highlighting its potential for informing public health strategies and managing future outbreaks. This work offers a robust and adaptable framework for understanding and predicting the spread of infectious diseases.}, subject = {Compartmental model; Stochastic model; Partial information; Extended Kalman filter; Parameter estimation; Kompartimentmodell; Stochastisches Modell; Teilinformationen; Erweiterter Kalman Filter; Parametersch{\"a}tzung; Stochastische optimale Kontrolle; Kompartimentmodell; Kalman-Filter; Partielle Information}, language = {en} } @phdthesis{Franck2025, author = {Franck, Max}, title = {Synthesis of hexagonal boron nitride on CMOS-compatible substrates via chemical vapor deposition}, doi = {10.26127/BTUOpen-7192}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71925}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {About 20 years ago, the discovery of an easy method to exfoliate single atomic layers of graphene opened the door for the investigation of 2D materials. They often exhibit superior electrical and mechanical properties compared to their 3D counterparts, and in addition, entirely new physical properties emerge at these ultra-low thickness scales, making 2D materials a highly interesting topic of materials research. A large variety of 2D materials with various electrical properties have since been discovered: graphene is a conductor with an extremely high charge carrier mobility, several transition metal dichalcogenides are direct bandgap semiconductors with the bandgap value being dependent on the chemical composition, and hexagonal boron nitride (hBN) is an insulator. This means that, in principle, all the building blocks for 2D microelectronic devices are available, which would mark the ultimate miniaturization. In practice, this vision is far from being realized, as large-scale fabrication methods for 2D materials and their heterostructures are still under development. Hexagonal boron nitride has a large range of applications, as it plays a central role in 2D microelectronics: not only are dielectrics a crucial part of microelectronic devices, but hBN is also necessary to shield other 2D materials from contact with the 3D environment, which causes deterioration of their intrinsic properties. Further potential applications are deep UV optoelectronics, thermal neutron detection, and single-photon emitters for quantum communication. While synthesis of single-crystalline hBN monolayers and high-quality multilayers has been demonstrated on a 2" wafer scale, it relies on catalytic transition metals, such as Cu, as the growth substrates. Obviously, one layer does not a device make, and thus transfer of the grown hBN films is usually employed to fabricate full devices. Unfortunately, this leaves behind metal contaminations at concentrations that are incompatible with the stringent purity requirements in CMOS manufacturing lines. In order to facilitate integration of 2D materials into established CMOS technology, which is deemed the most promising route for their large-scale adoption, synthesis of hBN on CMOS-compatible substrates, such as Si, Ge, and dielectrics, is desirable. At the beginning of my work, almost no literature on this topic was available, especially not for Ge and Si substrates. In this thesis, a growth process for hBN on Ge(001) via high-vacuum chemical vapor deposition is developed. The influence of various process parameters on the morphology, structure, and crystalline quality of the grown films is studied, and the growth process is optimized towards ultra-thin, smooth, and high-quality hBN. Additionally, the efficacy of standard characterization methods is evaluated and alternatives are explored. Furthermore, the optimized growth process is applied to Si(001) and graphene growth substrates, also yielding high-quality hBN films.}, subject = {Chemical vapor deposition; Hexagonal boron nitride; 2D materials; Thin film deposition; Chemische Gasphasenabscheidung; Hexagonales Bornitrid; 2D-Materialien; D{\"u}nnschichtabscheidung; Zweidimensionales Material; D{\"u}nnschichttechnik; Bornitrid; Hexagonaler Kristall; CVD-Verfahren}, language = {en} } @misc{EverthKassner2024, type = {Master Thesis}, author = {Everth, Stefanie and Kaßner, Astrid}, title = {„Die Pflege entwickelt sich weiter" : eine Forschungsarbeit zur Lehre in der Praxis}, doi = {10.26127/BTUOpen-7176}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71762}, school = {BTU Cottbus - Senftenberg}, year = {2024}, abstract = {Die Masterarbeit untersucht das pflegewissenschaftliche und pflegedidaktische Anleitungshandeln sowie die habitualisierten Praktiken von Lehrenden in der Praxis in der pflegeberuflichen Ausbildung. Verglichen werden akademische und berufsbildende Lehrende in der Praxis aus den pflegerischen Settings: akutstation{\"a}r, station{\"a}re Langzeitpflege und ambulante Pflege. Ziel ist es, empirische Erkenntnisse {\"u}ber die Gestaltung der Praxislehre und {\"u}ber das Selbstverst{\"a}ndnis zu gewinnen sowie Entwicklungsm{\"o}glichkeiten aufzuzeigen. Mittels qualitativer Sozialforschung wurden 14 leitfadengest{\"u}tzte Expertinnen- und Experteninterviews mit Lehrenden in der Pflegepraxis nach der Grounded-Theory-Methodologie durchgef{\"u}hrt und ausgewertet. Die Datenanalyse erfolgte durch offenes, axiales und selektives Kodieren inklusive der Anwendung des mentalen Felds als Forschungstool. Die Ergebnisse zeigen, dass die habitualisierten Praktiken im Anleitungshandeln von Lehrenden in der Praxis kontrastierende pflegewissenschaftliche und pflegep{\"a}dagogische Begr{\"u}ndungsmuster aufweisen. Ihr Berufsverst{\"a}ndnis, ihre Kompetenzbildung und Wissensbedarfe beeinflussen maßgeblich die Gestaltung der Praxislehre. Anhand von Fallrekonstruktionen werden unterschiedliche Anleitungsprofile herausgearbeitet. Die Forschungsarbeit begr{\"u}ndet empirisch die Notwendigkeit einer st{\"a}rkeren Professionalisierung der Lehrenden in der Pflegepraxis. Empfehlungen zur hochschulischen Qualifizierung unter Einbindung der berufsbildenden Lehrenden werden abgeleitet.}, subject = {Lehre in der Pflegepraxis; Habitualisierte Praktiken; Pflegeberufliche Ausbildung; Lehrendenprofessionalisierung; Anleitungshandeln; Teaching in nursing practice; Habitualised practices; Nursing education; Professionalisation of teachers; Instructional action; Pflegeberuf; Pflegep{\"a}dagogik; Pflegewissenschaft; Professionalisierung}, language = {de} } @phdthesis{Pomp2025, author = {Pomp, Caron}, title = {Regional innovation systems and structural change in Lusatia}, doi = {10.26127/BTUOpen-7187}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71871}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {The 2015 Paris Agreement called on developed countries to reduce greenhouse gas emissions to prevent the average global temperature from rising above 2°C. To achieve this goal, Germany decided to phase out lignite by 2038 at the latest. Recognising that the phase-out would lead to structural change in lignite mining regions, the government established the Coal Commission, which issued recommendations in its final report on how to manage this structural change. Lusatia, one of Germany's three lignite mining regions, will receive a total of €17.2 billion. This money will be used to fund research and innovation, secure the competitiveness of the regional economy and transform the regional energy system with new technologies and business models. However, the question is whether this unique amount of funding will be sufficient to stimulate regional economic development and green transformation in the rural and peripheral region. This dissertation aims to contribute to answering this question from the perspective of Regional Innovation Systems (RIS). The RIS framework helps to explain the uneven geographical distribution of innovation and serves as a basis for the design and implementation of place-based innovation policies, the promotion of regional innovation capacity and the development of new industrial paths. The work is based on three different studies that focus on certain aspects of the RIS framework. Chapter 2 is dedicated to the question if the strength of German RIS is related to the cooperation for innovation. The study finds that there is indeed a strong positive correlation between the two, which helps to understand why it is useful to foster cooperation and establish new research institutes to improve Lusatia's RIS in the long term. Chapter 3 analyses green path development in the lignite industry and the influence of the respective RIS in the German mining regions. While there was an observable shift towards renewables in the regions, the lignite industry was hardly connected to the three RIS. In addition, especially the lignite industry in Lusatia suffered from technological lock-in and only started to pursue a path renewal after the phase-out decision. The implication is that transforming industries should be supported, but their willingness to transform is likely to depend on changes in regulatory and market conditions at the national or even international level, rather than on RIS conditions. Chapter 4 focuses on the Smart Specialisation approach and analyses if Smart Specialisation in the field of energy is realistic in Lusatia. The study shows that the potential for such specialisation has not been sufficient in the past, but that critical masses can be achieved if the new research facilities and projects actually attract new companies and workers in the long term and if this remains the case after the initial funding has ended.}, subject = {Regional innovation systems; Structural change; Lusatia; Regionale Innovationssysteme; Strukturwandel; Lausitz; Lausitz; Strukturwandel; Regionale Wirtschaftsentwicklung; Innovation}, language = {en} } @phdthesis{Wagner2025, author = {Wagner, Eduard}, title = {Circular data value creation}, doi = {10.26127/BTUOpen-7184}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71846}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {One fundamental problem hindering the achievement of a circular economy is the limited utilisation of data and the persistence of information asymmetries between value chain stakeholders. Although large volumes of data exist across product life cycles, they are often unevenly distributed and lack transparency and collaboration. Digital technologies are increasingly promoted as enablers to bridge these gaps. The discourse and theoretical basis in this context centre on three interlinked elements that must be considered as an integrated system: data, stakeholders, and sustainability. Previous research has tended to analyse these elements separately, while this thesis argues that they need to be studied together to understand under which conditions data can create value for circularity. This provides the rationale for introducing and exploring the concept of circular data value creation (CDVC), a framework that synthesizes these core elements to provide a holistic understanding of how data can generate value within the circular economy. Within this framework, the Digital Product Passport (DPP) is conceptualized as a tool that interlinks these components, supporting a system-of-systems approach. The research unfolds through three studies, each addressing different aspects of the CDVC framework. The first study (article 1) focuses on the role of data as the starting point of potential value retention and creation for circularity. It presents an explorative analysis of a large-scale repair dataset to highlight challenges in data structuring and potential applications for enhancing circularity. This study reveals that stakeholder-generated data, such as repair records, is often underutilized, burdened by non-standardized coding, missing contextualization, and limited sample sizes. The findings underscore the necessity for robust cleaning techniques, harmonization across data formats, and incentives to encourage data sharing. Moving beyond the operational level, the second study (article 2) addresses stakeholder dynamics necessary for effective data utilization. It investigates information asymmetries along product lifecycles, assessing the role of DPPs in mitigating these barriers. The study identifies information barriers rooted in economic, social, and technological constraints and discusses how DPPs could address these. However, while DPPs and other digital tools aim to reduce information barriers, they also introduce environmental costs that must be assessed (article 3). A meta-analysis of life cycle assessments (LCAs) of digital infrastructures, such as those used in DPPs, evaluates whether the sustainability benefits, such as improved repair and reuse, outweigh the carbon footprint of digital systems. The findings show that DPPs can contribute to sustainability, but their impact depends on the extent to which they are adopted and effectively used across the value chain. Integrating theoretical insights with empirical evidence, this thesis offers an understanding of how data, enabled by digital tools, can support circular economy practices. It combines conceptual understanding and practical application. The CDVC framework lays the groundwork for future work, such as the quantification of higher-order sustainability impacts of data-sharing tools or understanding how digital interfaces influence engagement with repair, reuse, and recycling.}, subject = {Circular economy; Digitalisation; Circular data; Digital product passport; Sustainability; Kreislaufwirtschaft; Zirkul{\"a}re Daten; Digitaler Produktpass; Digitalisierung; Nachhaltigkeit; Produktlebenszyklus; Kreislaufwirtschaft; Digitalisierung; Datenaustausch; Nachhaltigkeit}, language = {en} } @phdthesis{Martens2024, author = {Martens, Christian}, title = {A study of the charge and spin order dynamics for cuprate superconductors : a Gutzwiller analysis for the single-band Hubbard model}, doi = {10.26127/BTUOpen-7194}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71945}, school = {BTU Cottbus - Senftenberg}, year = {2024}, abstract = {In recent years, the role of charge density waves (CDW) in the study of high-temperature superconductors, such as cuprates and nickelates, has gained importance, so that CDW can provide potential insights into the mechanism of high-temperature superconductivity. Cuprates and nickelates are transition metals and have their valence electrons in the d-orbitals, which makes them belong to the family of correlated materials. In the past, a variety of experimental techniques, such as X-ray scattering and neutron scattering, have been performed to better understand such materials and the electronic properties of CDWs and spin-density waves (SDWs), which are thought to be connected to high-temperature superconductivity. However, the exact nature of CDW, SDW is not yet fully understood. Often correlated materials are described with the so-called multi-band Hubbard model, which takes into account the Coulomb interactions in d- or f-orbitals with a local parameter U. In the structure of the cuprate high-temperature superconductor LCO, the low-energy electron structure of the CuO2 planes is of interest, as this is where CDW, SDW and 2D high-temperature superconductivity take place. For this reason, the 3-band Hubbard model is often used, which takes into account the interaction of the Cu and O orbitals. Here we describe the time-dependent Gutzwiller approximation (TDGA) for the single-band Hubbard model. The description of a single-band construct for the Hubbard model was discussed in the work of Zhang and Rice, where they assume a hybridisation of the copper atom with the neighbouring oxygen atoms inside the unit cell forming a singlet state. While the Gutzwiller approximation can be solved analytically in one dimension using the Bethe ansatz, for real systems one has to resort either to the exact diagonalisation of small clusters or to approximation methods. We analyse the non-equilibrium dynamics of the electron structure in comparison to the optical conductivity in the linear response and non-equilibrium case. The starting point is the half-filled antiferromagnetic (AF) state, which is forms in LCO at weak hole doping p and allows the description of the stripe state by introducing hole doping near zero temperature. The focus here is on the site-centered and bond-centered stripe states characterized by a domain wall, which possesses an accumulation of hole doping and inverts the spin order. The results of the TDGA are compared with those of the time-dependent Hartree-Fock approximation (TDHF) and, in the case of the stripe states, also with the time-dependent Landau theory (TDL).}, subject = {Charge stripes; Spin stripes; Time-dependent Gutzwiller approximation; Single-band Hubbard model; Zeitabh{\"a}ngige Gutzwiller-Approximation; Ladungs-Stripes; Spin-Stripes; Einband-Hubbard-Modell; Hochtemperatursupraleitung; Cuprate; Ladungsdichtewelle; Spindichtewelle; Elektronenstruktur}, language = {en} } @phdthesis{Roy2025, author = {Roy, Ashley Comma}, title = {Economic analysis of invasive alien species management : a case study of 𝘏𝘢𝘭𝘺𝘰𝘮𝘰𝘳𝘱𝘩𝘢 𝘩𝘢𝘭𝘺𝘴 in Germany}, doi = {10.26127/BTUOpen-7170}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71703}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {Invasive alien species (IAS) are major drivers of biodiversity loss and impose rising economic costs. Global trade and climate change facilitate their spread and establishment, threatening agriculture, forestry, and fisheries. Despite recognition of these risks, economic consequences are often underestimated, delaying effective responses. IAS management requires balancing ecological, economic, and social considerations. This study addresses two objectives: (1) to quantify the economic costs of invasive alien species under current and projected climate scenarios, and (2) to evaluate public preferences for IAS management, focusing on the trade-offs between chemical and biological control strategies through a case study of the brown marmorated stink bug (Halyomorpha halys) invasion in German apple orchards. To address the first objective, the study combined a logistic spread model based on climate suitability projections for 2022-2050 with an economic model to estimate invasion costs under four management scenarios: no control, chemical control, biological control, and integrated pest management (IPM). Results show that even early infestations can cause significant economic losses if unmanaged. By 2050, as more areas become suitable for pest establishment, invasion costs rise sharply, demonstrating that delayed intervention greatly increases both damages and resources needed to control the invasion. For the second objective, a discrete choice experiment was employed to understand the public preference for managing IAS using no control, chemical control, and biological control. Respondents strongly favored biological control, even with risks of invasiveness, and rejected no control as an option. Willingness to pay reached €2.32/kg for biological control, while chemical control received moderate support, mainly due to production concerns. Socio-demographic factors such as age, gender, education, income, political orientation, ecological involvement, and risk-taking shaped preferences. Political orientation proved significant: conservative and liberal respondents leaned toward chemical control, while ecologically oriented individuals preferred no intervention. Information framing also mattered: generalized descriptions increased support for biological control, while quantitative details revealed greater heterogeneity. These findings highlight the urgency of early IAS intervention and the need to integrate public preferences into policy. The study provides evidence for developing effective strategies to manage Halyomorpha halys and outlines avenues for future research.}, subject = {Invasion cost; Discrete choice experiment; Halyomorpha halys; German apple orchards; Invasive alien species; Invasionskosten; Discrete-Choice-Experiment; Deutsche Apfelplantagen; Invasive Arte; Deutschland; Obstanlage; Invasive Art; Baumwanzen; Kosten; Kontrolle; Diskrete Entscheidung}, language = {en} } @phdthesis{Hagen2025, author = {Hagen, Veselko}, title = {Cybercrime als hybrides Gesamtph{\"a}nomen : Einzelph{\"a}nomene zwischen digital gepr{\"a}gten Deliktsformen, analoger Strafverfolgung und normativer Einordnung}, doi = {10.26127/BTUOpen-7189}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus4-71893}, school = {BTU Cottbus - Senftenberg}, year = {2025}, abstract = {Diese Dissertation untersucht das Ph{\"a}nomen Cybercrime in seiner hybriden Auspr{\"a}gung zwischen analog gepr{\"a}gten Tatstrukturen und dem Einsatz digitaler Tatmittel. Ziel ist es dabei, ein strukturorientiertes Verst{\"a}ndnis zu entwickeln, das die wachsende Komplexit{\"a}t digital geformter Kriminalit{\"a}t im institutionellen Rahmen der Strafverfolgung abbildet. Im Zentrum steht die Frage, wie staatsanwaltschaftliche Ermittlungs- und Organisationsprozesse am Beispiel der Schwerpunktstaatsanwaltschaft Cottbus strukturell, epistemisch und operativ auf diese Herausforderungen reagieren k{\"o}nnen. Die Methodik kombiniert qualitative Interviews mit Vertreter:innen einer Strafverfolgungsbeh{\"o}rde sowie internationaler Organisationen mit einer strukturierten Dokumentenanalyse und einer Sekund{\"a}rdatenauswertung der Staatsanwaltschaftsstatistik des Landes Brandenburg. Daraus wurde das OET-Cybercrime-Modell entwickelt, das digitale Delikte entlang ontologischer, epistemologischer und institutioneller Dimensionen systematisiert. Die Analyse zeigt deutliche Spannungen zwischen normativer Anspruchslage und tats{\"a}chlicher Verfahrenspraxis. Fehlende Klassifizierungen digitaler Fallstrukturen, informelle Wissensspeicherung sowie nicht abgestimmte Ressourcenzuweisungen erschweren eine zielgerichtete und rechtsstaatlich belastbare Verfolgung hybrider Delikte. {\"U}bergabeverluste sowie unklare Zust{\"a}ndigkeiten gef{\"a}hrden die Beweissicherung und f{\"u}hren zu Effizienzverlusten im Ermittlungsprozess. Zur Behebung dieser Defizite schl{\"a}gt die Arbeit vier zentrale Maßnahmen vor: (1) ein gestuftes Hybridit{\"a}tsscreening zur ersten Fallbewertung, (2) ein KI-gest{\"u}tztes Feedbacksystem zur Qualit{\"a}tssicherung, (3) eine virtuelle Trainingsumgebung in Form eines digitalen Zwillings sowie (4) die Integration internationaler Fortbildungsformate, wie etwa des EEBC-Kurses unter Leitung von Interpol. Letzterer sollte in enger Kooperation mit der BTU in eine strukturierte Fortbildungsarchitektur eingebunden werden. Die Dissertation versteht Cybercrime nicht nur als technisches Deliktfeld, sondern als Ausdruck eines tiefergreifenden Wandels staatlicher Ordnung im Cyberraum. Sie entwickelt ein Modell institutionellen Lernens, das juristische, technische und organisatorische Perspektiven zu einer widerstandsf{\"a}higen Struktur digitaler Strafverfolgung verbindet.}, subject = {Cybercrime; Strafverfolgung; Spezialisierung; Prosecution; Specialization; Computerkriminalit{\"a}t; Strafverfolgung}, language = {de} }