@inproceedings{65660,
  author       = {{Nickerson, Robert C. and Varshney, Upkar and Muntermann, Jan and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 32nd Americas Conference on Information Systems (AMCIS 2026), Technology Research, Education, and Opinion (TREO) Talk}},
  title        = {{{Issues in Taxonomies and Taxonomy Development}}},
  year         = {{2026}},
}

@article{65668,
  author       = {{Damm, Jannis and Ummenhofer, Thomas and Albiez, Matthias and Meschut, Gerson and Sander, Sascha and Teutenberg, Dominik and Kötz, Fabian}},
  issn         = {{0021-8464}},
  journal      = {{The Journal of Adhesion}},
  pages        = {{1--39}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Life prediction of adhesive steel joints under ageing stress – experimentally based model validation}}},
  doi          = {{10.1080/00218464.2026.2671924}},
  year         = {{2026}},
}

@article{65666,
  author       = {{Bodenberger, Robin and Thommes, Kirsten}},
  issn         = {{1366-9877}},
  journal      = {{Journal of Risk Research}},
  pages        = {{1--21}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Words or numbers? How framing uncertainties affects risk assessment and decision-making}}},
  doi          = {{10.1080/13669877.2026.2667755}},
  year         = {{2026}},
}

@inbook{65670,
  abstract     = {{Ensuring the veracity of assertions is {vital for building reliable and consistent knowledge graphs}. 
A variety of automatic fact-checking approaches have been proposed over the past decade. Among these, path-based fact-checking approaches are particularly attractive due to their independence of supplementary external knowledge and their faster runtimes compared to methods reliant on external corpora or embeddings.  
However, the effectiveness of these approaches is fundamentally limited by the incompleteness of existing knowledge graphs, which often lack the paths necessary to support or refute assertions. 
To address this limitation, we propose \system{}, a framework that supplements the knowledge graph with shallow knowledge---automatically extracted RDF assertions from external unstructured sources---even if this additional knowledge may not always fit a well-defined ontology nor be fully verified. By appending such shallow knowledge, we enhance the graph’s coverage and increase the chances of finding relevant evidence for fact checking. Comprehensive experiments on three widely used benchmark datasets demonstrate that integrating \system{} consistently and significantly enhances the performance of {state-of-the-art path-based fact-checking approaches}, yielding improvements of up to 0.24 in Area Under the Receiver Operating Characteristic Curve (AUROC). These results establish \system{} as a broadly applicable auxiliary component for improving the reliability and coverage of automatic fact checking in knowledge graphs. Our code is open-source and can be found at \url{https://github.com/dice-group/ShallKnow}.}},
  author       = {{Qudus, Umair and Pokharel, Neha and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783032251558}},
  issn         = {{0302-9743}},
  keywords     = {{fact checking}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{No Need to Be a Know-It-All: Fact Checking with Shallow Knowledge}}},
  doi          = {{10.1007/978-3-032-25156-5_23}},
  year         = {{2026}},
}

@inproceedings{65257,
  author       = {{Böer, Nils Tobias and Steinborn, Michael B. and Weigelt, Matthias and Güldenpenning, Iris}},
  booktitle    = {{Abstracts of the 68th Conference of Experimental Psychologists}},
  editor       = {{Kaup, Barbara and Roth, Lilly and Rück, Franziska}},
  keywords     = {{effort, try-harder instruction, deception, sport psychology, action and perception}},
  location     = {{Tübingen}},
  title        = {{{When Trying Harder Helps: Effort Instructions Affect Performance in Complex Motor Tasks}}},
  year         = {{2026}},
}

@inproceedings{65566,
  author       = {{Haak, Anselm and Koopmann, Patrick and Mahmood, Yasir and Turhan, Anni-Yasmin}},
  location     = {{Lisbon}},
  title        = {{{ABox Abduction for Inconsistent Knowledge Bases under Repair Semantics}}},
  year         = {{2026}},
}

@misc{60912,
  author       = {{Spener, Anna Maria}},
  booktitle    = {{feministische studien}},
  pages        = {{149--151}},
  title        = {{{Rezension: "Friederike Beier (Hg.): Materialistischer Queerfeminismus. Theorien zu Geschlecht und Sexualität im Spätkapitalismus, Münster: Unrast 2024"}}},
  doi          = {{https://doi.org/10.1515/fs-2026-0015}},
  year         = {{2026}},
}

@article{45284,
  author       = {{Webersen, Yvonne and Daud, Fardien}},
  journal      = {{MNU Journal}},
  title        = {{{Was steckt drin? Blackboxen aus dem 3D-Drucker für den Mechanikunterricht der Oberstufe}}},
  year         = {{2026}},
}

@article{65674,
  author       = {{Quast, Julia}},
  issn         = {{2191-995X}},
  journal      = {{Indes}},
  number       = {{4}},
  pages        = {{53--61}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Achtung – Panzer!}}},
  doi          = {{10.13109/inde.2025.13.4.53}},
  volume       = {{13}},
  year         = {{2026}},
}

@inbook{59747,
  author       = {{Schulz, Christian}},
  booktitle    = {{Plattformforschung nach dem Digital Services Act – Interdisziplinäre Perspektiven }},
  editor       = {{Eickelmann, Jennifer  and Mämecke, Thorben  and Ruschemeier, Hannah and Waldmann, Maximilian}},
  publisher    = {{Büchner Verlag}},
  title        = {{{Das Imaginäre der Plattformen: Soziale Medien als Infrastrukturen der Anerkennung}}},
  year         = {{2026}},
}

@article{65679,
  abstract     = {{<jats:title>Zusammenfassung</jats:title>
                  <jats:p>Das Positionspapier formuliert neun Thesen zur Weiterentwicklung der Statistikausbildung im Kontext von Data Science und Künstlicher Intelligenz. Im Zentrum stehen Data &amp; Statistical Literacy, Datenqualität und -ethik, die Verbindung von Statistik und Machine Learning sowie die Stärkung einer eigenständigen Statistikdidaktik.</jats:p>
                  <jats:p>Die Diskussionsbeiträge erweitern diese Perspektiven: Christina Elmer betont Wissenschaftskommunikation und AI Literacy, Helmut Küchenhoff projektbasiertes Lernen und Datenschutz, Christoph Weisser die industrielle Praxis und organisationsweite Datenkompetenz, Göran Kauermann die Verzahnung von Statistik und Data Science, und Rolf Biehler sowie Karin Binder die didaktische und institutionelle Weiterentwicklung.</jats:p>
                  <jats:p>Die Replik greift diese Impulse auf und unterstreicht die interdisziplinäre Verantwortung für eine zukunftsfähige Statistikausbildung.</jats:p>}},
  author       = {{Berger, Ursula and Biehler, Rolf and Binder, Karin and Elmer, Christina and Ertz, Florian and Hotz, Thomas and Huber, Sarah and Ickstadt, Katja and Kauermann, Göran and Küchenhoff, Helmut and Lübke, Karsten and Münnich, Ralf and Schüller, Katharina and Skill, Thomas and Weihs, Claus and Weinert, Henrike and Weisser, Christoph}},
  issn         = {{1863-8155}},
  journal      = {{AStA Wirtschafts- und Sozialstatistisches Archiv}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Daten, Künstliche Intelligenz und Evidenz – neue Anforderungen an die Statistikausbildung an Hochschulen Data, artificial intelligence, and evidence—new requirements for statistics education at universities}}},
  doi          = {{10.1007/s11943-026-00372-0}},
  year         = {{2026}},
}

@article{65682,
  author       = {{Vernholz, Mats and Sims, Craig and Treagust, David}},
  journal      = {{Education Sciences}},
  number       = {{5}},
  pages        = {{782}},
  title        = {{{From Time-Saving to Skill-Building: Reframing Generative AI for Lesson-Planning—A Conceptual Design Paper}}},
  doi          = {{https://doi.org/10.3390/educsci16050782}},
  volume       = {{16}},
  year         = {{2026}},
}

@article{64789,
  author       = {{Beer, Fabian and Schulz, Christian}},
  journal      = {{RESET Journal (Recherches sciences sociale sur internet) Special Issue: Towards New Social and Historical Studies of Artificial Intelligence}},
  publisher    = {{Open Edition Journals}},
  title        = {{{AI has never been inherently interpretable: On a paradoxical origin of eXplainable AI (XAI)}}},
  year         = {{2026}},
}

@techreport{65678,
  author       = {{Menne, Anna Lena and Schulz, Christian}},
  title        = {{{Unpacking [Whose] Imaginary: Reflections from a Workshop on Digital Imaginaries}}},
  volume       = {{1}},
  year         = {{2026}},
}

@inproceedings{64211,
  author       = {{Wiebe, Vivien and Häsel-Weide, Uta}},
  booktitle    = {{Proceedings of the Nineteenth ERME Topic Conference: Connecting the Learning of Mathematics Teaching to Practice}},
  editor       = {{Mosvold, R. and Fauskanger, J. and Ferretti, F. and Vondrová, N.}},
  location     = {{Prag}},
  pages        = {{122--129}},
  title        = {{{ Initiating and establishing mathematical practices of determining and transforming numbers as a foundational skill in fostering mathematics teaching}}},
  year         = {{2026}},
}

@techreport{65686,
  abstract     = {{This paper empirically examines the relationship between market power and Environmental, Social, and Governance (ESG) scores of banks in Europe and North America from 2010 to 2021, focusing separately on loan and deposit markets. Employing the Lerner Index as a non-structural measure of market power, our findings suggest that the impact of banking market power on ESG scores varies by region and the respective loan or deposit market. We find a negative effect of loan and deposit market power on ESG scores of European banks whereas the opposite effect can be observed for North American banks exhibiting loan market power. Further sensitivity analyses reveal that factors such as banks being Global Systemically Important (G-SIBs), and different ESG-related events like the Paris Agreement, the reemergence of the #MeToo movement and the COVID-19 pandemic may also explain the relationship between bank market power and ESG scores. Overall, our results underline that banking market power plays a pivotal role in enforcing ESG commitments in banking, offering key insights for policymakers, regulators, and banking stakeholders.}},
  author       = {{Voigt, Simone and Uhde, André}},
  keywords     = {{Market Power, ESG scores, European and North American banking markets}},
  pages        = {{55}},
  title        = {{{The impact of market power on banks' ESG scores - evidence from Europe and North America}}},
  year         = {{2026}},
}

@techreport{65685,
  abstract     = {{Employing a unique hand-collected sample of 881 securitization transactions issued by 59 stock-listed banks across the EU-13 plus Switzerland over the period from 1997 to 2010, this paper empirically investigates if and how market power in the loan and deposit market may influence European banks’ incentives to engage in securitization activities. We construct product-specific residual Lerner Indices to measure market power in the loan and deposit market separately. Our results suggest that banks with higher loan and deposit market power securitize less, consistent with a reduced need for risk transfer and a reduced reliance on market-based funding. Various sensitivity analyses further show that these relationships vary across underlyings, issuance frequencies, and different time stages of securitization in Europe. Our findings contribute to the literature by disentangling loan and deposit market power as two further distinct determinants of securitization and thus, offer important insights regarding the ongoing policy debates on the consolidation of European banking markets and the revitalisation of the European securitization market.}},
  author       = {{Herwald, Sarah and Uhde, André}},
  keywords     = {{Securitization, market power, European banking}},
  title        = {{{Securitization and Market Power – Evidence from European Banks}}},
  year         = {{2026}},
}

@techreport{65694,
  abstract     = {{This paper empirically investigates the relationship between market power and female board representation in large commercial banks in the EU-27 from 2020 to 2024. Using the Lerner Index as a proxy for market power and hand-collected data on female board representation, the findings suggest that increasing market power is detrimental to a bank’s likelihood of reaching the 33 percent gender diversity target for the board of directors, as proposed by the EU Directive EU2022/2381. The negative effect is especially pronounced for listed banks and systemically important banks, highlighting the importance of considering banking market structures (market power and competition) when enforcing regulatory diversity standards for those banks in particular.}},
  author       = {{Voigt, Simone}},
  title        = {{{The nexus of market power and female board representation in European banks}}},
  year         = {{2026}},
}

@book{65691,
  editor       = {{Meier, Heiko and Kukuk, Marc and Sennefelder, Lisa}},
  isbn         = {{9783880207301}},
  publisher    = {{Feldhaus}},
  title        = {{{Planen. Bauen. Beteiligen. Bewegen. 16. Jahrestagung der dvs-Kommission „Sport und Raum“ vom 19.–20.09.2024 in Bad Driburg & Paderborn}}},
  volume       = {{Band 305}},
  year         = {{2026}},
}

@article{65697,
  author       = {{Breuing, Friederike and Kremer, H.-Hugo}},
  issn         = {{ 1618-8543}},
  journal      = {{bwp@ Berufs- und Wirtschaftspädagogik – online}},
  number       = {{49}},
  pages        = {{1--32}},
  title        = {{{Innovations- und Implementationsproblematik in der beruflichen Bildung – Studie zu Verständnissen und Prozessen im Kontext des InnoVET-Programms}}},
  year         = {{2026}},
}