@misc{65997, author = {{Moritz, Tilman}}, booktitle = {{sehepunkte}}, number = {{7/8}}, title = {{{U. Niggemann (Hg.): Der Bauernkrieg von 1525. Staatlichkeit und Ordnungsvorstellungen (= Staatsverständnisse. 185). Baden-Baden 2025}}}, volume = {{26}}, year = {{2026}}, } @techreport{66449, abstract = {{This paper evaluates the forecasting performance of an expanded class of (semi-)parametric GARCH models belonging to the EGARCH family (EGF), including recently introduced long and short memory specifications and their semiparametric extensions. The semiparametric variants employ a multiplicative volatility decomposition into conditional and slowly varying unconditional components, where the latter is estimated via a data-driven local polynomial smoother to accommodate non-stationarities commonly observed in financial time series. Based on the revised Basel Committee framework for market-risk assessment, all models are capable of producing rolling one-day-ahead forecasts for Value at Risk (VaR) and Expected Shortfall (ES) under a wide range of symmetric and skewed innovation distributions. Their forecasting accuracy is examined using the regulatory traffic light tests for VaR and the recently developed ES-specific traffic light procedure, complemented by the regulatory loss function. In addition, model selection incorporates both a recently proposed corrected firm-oriented loss function that accounts for opportunity costs and the Weighted Absolute Deviation (WAD) criterion. The empirical comparison demonstrates that (semiparametric) long memory GARCH models - particularly those combining fractional dynamics with nonparametric scale adjustments - can serve as valuable alternatives to traditional parametric short memory models, offering more stable volatility estimates and improved tail-risk forecasts for practical risk management applications.}}, author = {{Hanke, Dominik Christian and Uhde, André and Feng, Yuanhua}}, keywords = {{semiparametric GARCH extension, data-driven local polynomial smoother, long memory, GARCH models, Value at Risk, Expected Shortfall, traffic light test, backtesting, Basel III, market risk}}, title = {{{Application of Novel Exponential (Semi-)Parametric Short and Long Memory GARCH Models under Regulatory Requirements of Basel III}}}, year = {{2026}}, } @techreport{66447, abstract = {{Volatility modeling is utilized across numerous fields including finance, environmental studies, and social sciences. It is particularly relevant in scenarios where understanding and predicting conditional variability is crucial, such as when dealing with incremental or time-dependent data. In this paper, novel short and long memory volatility models of the EGARCH family are introduced and analyzed, which are closely related to the well-established EGARCH model proposed by Nelson (1991) but share desirable theoretical properties in several dimensions. Recently developed members of the so-called EGARCH family, which introduces a modulus-log transformation proposed by John and Draper (1980) and a power transformation for the size and magnitude effect to tackle the problem with near-zero innovations and the asymmetric impact of positive and negative shocks on the volatility, are discussed. After a theoretical discussion of the proposed and related volatility models, the practical performance of the elaborated volatility models is compared to well-established and traditional GARCH approaches. A general QMLE algorithm is proposed to estimate the model parameters. The practical relevance of the advanced models is illustrated through a comparative study. By applying these volatility models to a variety of international stock index returns, this paper identifies market-specific characteristics as well as unique strengths and weaknesses of discussed volatility models. Although the practical performance of the recently introduced models is comparable to those obtained by the traditional EGARCH model, they generally outperform traditional non-exponential volatility models used as benchmarks and thus provide a useful alternative to existing short and long memory volatility models. }}, author = {{Hanke, Dominik Christian and Feng, Yuanhua and Uhde, André}}, keywords = {{Modulus Log-GARCH, Modified (FI)EGARCH, Modulus asymmetric (FI)Log-GARCH, (FI)EGARCH, long memory, modulus-log transformation, QMLE, model selection, implementation in R}}, title = {{{Comparing the behaviors of some original short and long memory exponential volatility models}}}, year = {{2026}}, } @article{66541, abstract = {{Expulsion in resistance spot welding (RSW) causes weld quality fluctuations and increases quality-control effort in high-volume manufacturing. Existing data-driven studies have mainly addressed post-occurrence expulsion detection, process-end classification, or the identification of influencing factors, whereas online monitoring requires short-term risk estimation before the event occurs. In this study, expulsion prediction is formulated as a sliding-window-based pre-expulsion risk estimation task for the currently welded spot. A physics-guided hybrid GRU-XGBoost ensemble is developed to combine temporal learning from dynamic resistance and electrode-force signals with process-physics-related scalar features describing heat input, resistance state, and force response. The framework was evaluated on 2730 valid welds, including 588 expulsion and 2142 non-expulsion welds, using weld-grouped five-fold cross-validation with fold-level working-point selection. The ensemble achieved an area under the ROC curve of 0.945 ± 0.004 and a weld-level recall of 90.6 ± 3.7% at an average false alarm rate of 9.8 ± 0.2%, outperforming both individual branches. For the 533 correctly warned expulsion welds, the median early-warning lead time was 56 ms. These results indicate that online, physically interpretable pre-expulsion risk prediction is feasible under low-false-alarm constraints within the investigated RSW configuration and provide a basis for future adaptive monitoring and control studies.}}, author = {{Yang, Keke and Li, Chong and Beck, Robert and Hein, David and Meschut, Gerson}}, issn = {{1526-6125}}, journal = {{Journal of Manufacturing Processes}}, keywords = {{Resistance spot welding, Expulsion prediction, Physics-guided machine learning, Hybrid ensemble modelling, Process monitoring}}, pages = {{135--153}}, publisher = {{Elsevier BV}}, title = {{{A physics-guided hybrid framework for online pre-expulsion prediction in resistance spot welding}}}, doi = {{10.1016/j.jmapro.2026.07.042}}, volume = {{174}}, year = {{2026}}, } @inbook{63031, abstract = {{Despite decades of awareness, asymmetries in conceptual resources, data, and governance between users and developers persist. Meanwhile, socially situated ‘end-users’ experience harms, such as hidden labor, reinforced stereotypes, and increased unpredictability, as machine learning advances. However, accurately modeling social context does not constitute design justice. This paper reinterprets Giuseppe Mantovani’s model of social context in human-computer interaction (HCI) to address the relational emergence and political situatedness of social context in human-AI interaction (HAI). Drawing on the concept of a multi-perspectival algorithmic imaginary, we (1) conceptualize context as nested and entangled relations, (2) identify actors, including users, developers, models, and interfaces, and (3) foreground the organization of relations of power. Recognizing that models are performative rather than predictive, we argue that the sociopolitical situatedness of context must be acknowledged alongside its limits. To challenge design authority, we propose that HCI and HAI strategically foster intra-actional negotiability, enabling users to challenge, reinterpret, or modify their relationship with technology through critical (design) practices.}}, author = {{Menne, Anna Lena and Schulz, Christian}}, booktitle = {{HCI International 2026 Posters: 28th International Conference on Human-Computer Interaction, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part I}}, editor = {{Stephanidis, Constantine and Margetis, George and Ntoa, Stavroula and Antona, Margherita and Salvendy, Gavriel}}, keywords = {{Social Context, Situatedness, Imaginaries}}, location = {{Montreal}}, pages = {{93--106}}, publisher = {{Springer International Publishing}}, title = {{{Social Context in Human-AI Interaction (HAI): Towards a Theoretical Framework Based on Multi-Perspectival Imaginaries}}}, doi = {{10.1007/978-3-032-30552-7_10}}, volume = {{3047}}, year = {{2026}}, } @book{66570, author = {{Breuing, Friederike and Daniel-Söltenfuß, Desiree and Kremer, H.-Hugo and Kückmann, Marie-Ann}}, publisher = {{Universitätsbibliothek Paderborn}}, title = {{{CommuniAction – Kommunikation und Verständigung spielerisch fördern und gestalten: eine praxisorientierte Handreichung für Akteur:innen in Innovations- und Verbundprojekten in der beruflichen Bildung}}}, doi = {{https://doi.org/10.17619/UNIPB/1-2672}}, volume = {{2}}, year = {{2026}}, } @inproceedings{66599, author = {{Beutner, Marc and Koppius, Sebastian Niklas and Schäfers, Johannes and Temmen, Katrin}}, booktitle = {{bwp@ Spezial HT2025: Nachhaltig – Digital – Chancengerecht. Zukunftsszenarien von Arbeit, Bildung und Beruf }}, editor = {{Hartwich, Katharina and Heisler, Dietmar and Lippegaus, Petra and Schmökel, Michelle and Schwede, Jana and Sommer, Christian}}, issn = {{1618-8543}}, keywords = {{5. Generation des Mobilfunkstandards (5G), Digitaler Reifegrad im Berufsschulunterricht, Best-Practice-Beispiele}}, location = {{Paderborn}}, publisher = {{bwp@ Berufs- und Wirtschaftspädagogik - online}}, title = {{{Die Ausbildung von morgen gestalten: mit 5G und für 5G. Unterrichtliche Anwendungsbeispiele für das Lernen mit 5G und für 5G an kaufmännischen und gewerblich-technischen Berufskollegs aus Ostwestfalen-Lippe }}}, year = {{2026}}, } @inproceedings{66596, author = {{Rehmer, Lennart and Grieger, Nicole and Trier, Matthias and Kundisch, Dennis}}, booktitle = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik}}, location = {{Linz, Austria}}, title = {{{Can I Help to Explain That? A Conceptual Model Integrating Social Cognition and Intentional Stance Theories for Agentic XAI Design}}}, year = {{2026}}, } @inproceedings{66597, author = {{Rehmer, Torben and Rehmer, Lennart and Kundisch, Dennis and Trier, Matthias}}, booktitle = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik}}, location = {{Linz, Austria}}, title = {{{Structuring the Use of Virtual Reality in Human Behavior Research: A Taxonomy of Empirical Studies}}}, year = {{2026}}, } @inproceedings{66595, author = {{Hansmeier, Lars and Grieger, Nicole and Kundisch, Dennis}}, booktitle = {{Proceedings of the 21. Internationale Tagung Wirtschaftsinformatik, Student Track}}, location = {{Linz, Austria}}, title = {{{Mind the Gender Pitch Gap: The Effect of Regulatory Focus and Tense Orientation on Startup Funding}}}, year = {{2026}}, } @article{66594, author = {{Cochrane, Janet and Tan, Seng Chee and Phillips, Michael and Eickelmann, Birgit and Kral, Marijke and Chammon, Jacob and Pangeni, Shesha Kanta}}, issn = {{2666-5573}}, journal = {{Computers and Education Open}}, publisher = {{Elsevier BV}}, title = {{{Reframing school leadership for the digital age}}}, doi = {{10.1016/j.caeo.2026.100404}}, volume = {{11}}, year = {{2026}}, } @article{66611, abstract = {{This paper explores one of the defining political questions of the twenty‐first century: will digital technologies strengthen democracy or accelerate new forms of authoritarianism and fascism? Against the backdrop of platform capitalism, AI‐driven communication, surveillance infrastructures, disinformation and democratic crisis, the study asks how experts in digital democracy assess the present condition and possible futures of digital society. To address this question, the paper draws on the Futures of Digital Democracy Survey (FDDS), a two‐round international expert survey involving researchers, practitioners and civil society actors working in the fields of digital democracy, media, Internet governance and digital society. Combining futures research, scenario analysis, and qualitative and quantitative content analysis, the study investigates competing trajectories of digital development ranging from participatory digital democracy to corporate and state‐controlled digital fascism. The findings reveal a profound tension at the heart of contemporary digital society: while respondents overwhelmingly imagine an ideal future democracy in participatory and deliberative terms—centred on citizens’ assemblies, digital participation, public‐service Internet platforms and democratic AI—they simultaneously express deep pessimism about the actual direction of digital capitalism and platform power. Experts consider authoritarian and fascistic digital futures significantly more likely than democratic ones. The paper analyses these contradictions by examining the relationship between deliberative democracy, constitutional rights, platform governance, digital commons, public service media, AI, surveillance and the political economy of Big Tech. It argues that democracy in the digital age can only survive if participatory and deliberative digital structures are institutionally combined with constitutional safeguards, public ownership, democratic regulation and the defence of human rights. By bringing together debates on digital democracy, authoritarianism, political economy and digital futures, the paper offers both a critical diagnosis of the contemporary digital condition and a normative vision of democratic alternatives in the age of AI and platform capitalism.}}, author = {{Fuchs, Christian and Friesch, Kevin and Museba, Joel}}, issn = {{1944-2866}}, journal = {{Policy & Internet}}, number = {{3}}, publisher = {{Wiley}}, title = {{{Digital Futures Between Participatory Digital Democracy and Participatory Digital Fascism}}}, doi = {{10.1002/poi3.70054}}, volume = {{18}}, year = {{2026}}, } @inbook{66605, author = {{Bobe, Anna and Göddertz, Nina and Karber, Anke and Paesche, Moritz and Schmökel, Michelle Jaquelina and Schwertfeger, Anja and Seltrecht, Astrid}}, booktitle = {{bwp@ Spezial HT2025: Nachhaltig – Digital – Chancen­gerecht. Zukunftsszenarien von Arbeit, Bildung und Beruf }}, editor = {{Hartwich, Katharina and Hesler, Dietmar and Lippegaus, Petra and Schmökel, Michelle and Schwede, Jana and Sommer, Christian}}, pages = {{1--21}}, publisher = {{bwp@ Berufs- und Wirtschaftspädagogik}}, title = {{{Entwicklungslinien der beruflichen Fachrichtung Sozialpädagogik und einer Didaktik der Sozialpädagogik: Perspektiven einer scientific community im Werden}}}, year = {{2026}}, } @inproceedings{66610, author = {{Stojko, Laura and Herder, Eelco and Strecker-Bischoff, Jannis and Sänger, Julia Seitz and Neumayr, Thomas and Yigitbas, Enes and Augstein, Mirjam}}, booktitle = {{Companion Publication of the 2026 18th ACM Web Science Conference, WebSci Companion 2026, Braunschweig, Germany, May 26-29, 2026}}, editor = {{Balke, Wolf-Tilo and Plötzky, Florian and Spaniol, Marc and Herder, Eelco and Manikonda, Lydia and Liu, Haiming and Ibáñez, Luis-Daniel and Rezapour, Rezvaneh}}, pages = {{108–109}}, publisher = {{ACM}}, title = {{{ABIS 2026: The Effects of the Adaptive Web on Society}}}, doi = {{10.1145/3795513.3810983}}, year = {{2026}}, } @article{65613, abstract = {{Lehrer:innen nutzen und veröffentlichen Unterrichtsmaterial auf verschiedenen Plattformen. Da diese Materialien, anders als Schulbücher, kein Qualitätssicherungsverfahren durchlaufen, wird aktuell die Frage nach der Verantwortung für die Qualitätssicherung dieses Materials diskutiert. Abbildungen von Menschen im Unterrichtsmaterial transportieren soziokulturelle und pädagogische Inhalte, die eine kritische Prüfung erfordern. Dieser Beitrag adressiert die Frage, welche Differenzkonstruktionen und Stereotypisierungen im Bildmaterial von digital verfügbarem Unterrichtsmaterial vorhanden sind. Verwendet wurde ein Materialkorpus drei verschiedener Plattformen mit Unterrichtsmaterialien der Sekundarstufe 1 (5. – 10. Klasse) mit 329 Bildern von Menschen (Zeichnungen und Fotografien). Dieser wurde analysiert in Bezug auf die deskriptive Häufigkeit der Darstellung bestimmter Personengruppen sowie qualitativ und intersektional mit der hermeneutischen Sequenzanalyse. Zentrale Ergebnisse sind, dass vor allem Personen dargestellt werden, die in maximal einer Dimension von der weissen, heterosexuellen, nicht behinderten Norm abweichen. Darstellungen von sichtbaren Behinderungen und People of Color (BIPoC) kommen kaum vor. Diversität wird vereinzelt in Gruppenbildern dargestellt, jedoch nicht in Familienbildern. Othering und negative emotionale Konnotationen sind in den Darstellungen erkennbar, wenn z. B. Schwarzsein als Abweichung von der Norm verstanden wird, Körperproportionen verzerrt oder Sportler:innen als unsicher dargestellt werden. Die Analyse von digital bereitgestelltem Unterrichtsmaterial macht deutlich, dass ähnliche Problematiken zu beobachten sind, wie sie durch die Schulbuchforschung für Schulbücher beschrieben werden.}}, author = {{Schmidt, Rebecca and Drath, Hannah and Steinhardt, Isabel}}, issn = {{1424-3636}}, journal = {{MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung}}, pages = {{181--205}}, publisher = {{OAPublishing Collective}}, title = {{{Stereotype Darstellungen im Bild. Analyse von Bildmaterial digital verfügbarer Unterrichtsmaterialien}}}, doi = {{10.21240/mpaed/00/2026.05.12.x}}, year = {{2026}}, } @article{66632, abstract = {{Three‐dimensional (3D) assemblies of gold nanoparticles (AuNPs) offer a rich platform for plasmonic coupling and near‐field engineering, yet their optical behavior is often complex due to structural disorder and fabrication‐induced variability. Here, we present a systematic optical investigation of large‐scale 3D AuNP assemblies fabricated via meniscus‐guided assembly, focusing on the reproducibility, spatial uniformity, and mode evolution of their plasmonic responses. Spatially‐resolved dark‐field scattering measurements reveal that high‐aspect‐ratio AuNP pillars exhibit uniform scattering spectra along their height and across different pillars, despite variations in geometry and structure. Electromagnetic simulations suggest that this robustness arises from a collective many‐particle plasmonic response that remains optically active despite structural perturbations. The corresponding near‐field and surface‐charge distributions remain spatially distributed under representative structural perturbations, consistent with volumetric averaging across the three‐dimensional assembly. Building on this robust platform, we introduce compositional modulation through a core–satellite architecture by incorporating smaller AuNPs. This yields a composition‐dependent spectral redistribution, including the emergence of an additional long‐wavelength spectral feature in the core–satellite assemblies. Wavelength‐dependent surface‐enhanced Raman scattering measurements reveal contrasting responses under 633 and 785 nm excitation, reflecting redistribution of local plasmonic coupling pathways. These results provide process‐enabled guidelines for using meniscus‐guided 3D‐nanoprinting to realize robust nanoparticle assemblies.}}, author = {{Devaraj, Vasanthan and Kwak, Sunghyun and Kim, Hyeongjip and Sung, Sang‐Keun and Lee, Jong‐Min and Zentgraf, Thomas and Kim, Won‐Geun}}, issn = {{1863-8880}}, journal = {{Laser & Photonics Reviews}}, publisher = {{Wiley}}, title = {{{Spatially Uniform and Defect‐Tolerant Plasmonic Responses in 3D Printed Gold Nanoparticle Assemblies}}}, doi = {{10.1002/lpor.71686}}, year = {{2026}}, } @article{66638, abstract = {{Smart cities promise safer streets, smoother traffic, and more efficient services, enabled by dense networks of urban sensors. Yet this infrastructure, often unnoticed by citizens, introduces pervasive privacy risks, from tracking, profiling, and sensitive inferences to subtle forms of self-censorship. Despite widespread deployment, little is known about how the public understands and perceives these sensing systems. To address this gap, we present an intervention based user study (n = 172) in which participants are exposed to data collection by six urban sensors, including cameras and alternative technologies commonly framed as privacy-preserving. Participants encounter either the sensors alone or sensors accompanied by real-time data visualizations. Our results reveal widespread misunderstanding of some sensors (radar, LiDAR, Wi-Fi, depth, and thermal imaging sensors), particularly their capacity for identification and for attribute inferences such as gender or age. We also identify persistent misconceptions, including the belief that Wi-Fi poses privacy risks only when users connect to public networks. While making sensors visible and visualizing collected data improves privacy awareness, these measures alone are not enough for citizens to understand the actual risks of urban sensing. We derive recommendations for privacy-respecting smart city environments grounded in citizens’ informational needs and expectations.}}, author = {{Todt, Julian and Kablo, Emiram and Morsbach, Felix and Arias Cabarcos, Patricia and Strufe, Thorsten}}, issn = {{2299-0984}}, journal = {{Proceedings on Privacy Enhancing Technologies}}, number = {{4}}, pages = {{7--35}}, publisher = {{Privacy Enhancing Technologies Symposium Advisory Board}}, title = {{{“The city isn’t uploading me to TikTok”: Exploring Privacy Attitudes towards Data Collection in Urban Public Spaces}}}, doi = {{10.56553/popets-2026-0108}}, volume = {{2026}}, year = {{2026}}, } @article{66633, abstract = {{Platforms contribute to the ‘world-making’ of education; they play a co-constitutive role by envisioning and inscribing the functionalities anticipated in education. As programmable digital architectures, they both shape and are shaped by teachers’ and students’ practices. Building on two Action Research projects in German schools, the article concentrates on the reproduction of inequality within platformized classrooms. It uses the focus point of translation software usage to explore inscriptions into digital architectures. Analysing breakdowns of translation software usage among students who speak German as a second/foreign language, the article focuses on inscribed power dynamics within translation software, the mismatch between students’ practices and the imagined user, and the discrepancy between software logics and the educational setting. Discussing teachers’ invisible work, care and belonging in platformized education settings, the article highlights the epistemic inscriptions within technology. It describes how dataveillance and testing break down when students use translation software, thereby highlighting teachers’ shift towards creating a collective understanding. Lastly, the article discusses teachers’ autonomy within post-platform education by highlighting the limitations of currently available software products and software production.}}, author = {{Schmidt, Rebecca}}, issn = {{1743-9884}}, journal = {{Learning, Media and Technology}}, keywords = {{Intersectionality, platform studies, action research, post-platform education, breakdowns, translation software, classroom reserach}}, pages = {{1--16}}, publisher = {{Informa UK Limited}}, title = {{{Inscription of power dynamics in platformized classrooms. Exploring coded spaces of platform architectures through Participatory Action Research}}}, doi = {{10.1080/17439884.2026.2708693}}, year = {{2026}}, } @inproceedings{65493, author = {{Kablo, Emiram and Sharafi, Avishan and Arias Cabarcos, Patricia}}, booktitle = {{Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems}}, publisher = {{ACM}}, title = {{{"I store some passwords in WhatsApp": Understanding User Experiences and Usability Challenges of Password Managers in Virtual Reality}}}, doi = {{10.1145/3772363.3798346}}, year = {{2026}}, } @inproceedings{66631, author = {{Gortworst, Bente and Okulmus, Cem and Ortiz, Magdalena and Turhan, Anni-Yasmin}}, booktitle = {{Proceedings of the 25th International Semantic Web Conference (ISWC 2026)}}, title = {{{Shapes from Examples: Foundations of Shape Learning in Recursive SHACL}}}, year = {{2026}}, }