@inbook{7094,
  author       = {Pap, Florian and Pottharst, Bill},
  booktitle    = {Potenziale soziologischer Praxis},
  editor       = {Blättel-Mink, Birgit and Onnen, Corinna and Opielka, Michael and Roet, Bastian and Späte, Katrin and Stein-Redent, Rita},
  isbn         = {978-3-658-51995-7},
  issn         = {2941-9913},
  pages        = {207--224},
  publisher    = {Springer Fachmedien Wiesbaden},
  title        = {{Emotionserinnerungen und digitale Exklusion – Technikaneignung im Alter als soziale Emotionspraxis}},
  doi          = {10.1007/978-3-658-51996-4_12},
  year         = {2026},
}

@inproceedings{7002,
  abstract     = {Selecting an appropriate semantic segmentation model for a given application domain remains a challenging and time-consuming task for practitioners and researchers. This paper presents an interactive, web-based platform that enables side-by-side visual comparison of multiple neural network segmentation models applied to identical images. The system integrates three transformer-based segmentation models: a face-parsing network producing 19 semantic classes, a SegFormer-B3 clothing segmentation model with 18 classes, and a Mask2Former model for general-purpose scene segmentation spanning 150 ADE20K categories. Key contributions include side-by-side evaluation of model outputs across multiple architectures and image categories, with real-time segment highlighting and a scalable inference caching system that enables model comparisons without requiring repeated graphics processing unit (GPU) computation. The platform organizes a curated dataset of images under a hierarchical category taxonomy, supporting structured evaluation across demographic and contextual variables. As a practical use case, the system is applied within the ADRIAN project to assist in verifying identity consistency across images through segmentation-based analysis. The platform thus contributes a specialized artificial intelligence (AI) tool for systematic segmentation and object detection model evaluation within media analysis pipelines, where selecting appropriate models is a recurring challenge across tasks from identity verification to content moderation. It is available under https://github.com/vika-v-v/neural-networks-for-image-segmentation and designed to lower the barrier for comparative model evaluation in applied computer vision workflows.},
  author       = {Vovchenko, Viktoriia and Schultenkämper, Sergej and Bäumer, Frederik},
  booktitle    = {2026 The Second International Conference on AI-based Media Innovation},
  editor       = {Böhm, Stephan and Ahrweiler, Petra and Gutenberg, Johannes and Leung, Clement },
  isbn         = {978-1-68558-403-0},
  keywords     = {segmentation, model comparison, face parsing},
  location     = {Nizza, Frankreich},
  publisher    = {IARIA},
  title        = {{A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models}},
  year         = {2026},
}

@article{7009,
  abstract     = {Background: Open Science (OS) and Responsible Research and Innovation (RRI) are increasingly converging under the concept of Open RRI, which integrates openness with inclusivity, responsibility, and societal engagement. Strengthening researcher skills in this area requires a clear understanding of existing training provision. This study presents findings from the Horizon Europe project PATTERN, which mapped and assessed Open RRI training resources across Europe.

Methods: A mixed-methods approach was applied, combining desk research, surveys, semi-structured interviews, data workshops, and mutual learning events. In total, 571 training resources were identified and analysed across eight skill areas: Open Access; FAIR Data; Citizen Science; Research Integrity; Gender, Non-discrimination, and Inclusion; Dissemination and Exploitation; Science Communication; and Management and Leadership. A subset of resources was further evaluated using defined quality criteria.

Results: The mapping reveals a fragmented and uneven training landscape, with a strong predominance of introductory-level resources and limited provision for intermediate and advanced learners. Training is often generic and lacks contextualisation, with gaps in inclusivity, multilingual provision, and local adaptation. Quality assessment highlights strengths such as modular design, open licensing, and the use of active learning approaches. However, recurring challenges include limited accessibility, unclear pathways for reuse, and difficulties in implementation and long-term sustainability. Key thematic gaps include intersectionality, policy engagement, supervision ethics, and the integration of indigenous and local knowledge.

Conclusions: Despite growing availability of training resources, significant gaps remain in scope, depth, and inclusivity. Addressing these challenges requires improved coordination, expansion of advanced and context-sensitive training, enhanced multilingual accessibility, and stronger integration into curricula and institutional practices to support sustainable Open RRI capacity building.},
  author       = {Lagido, Cristina and Nielsen, Kristian and Kragh, Gitte and Flohr, Pascal and Bezuidenhout, Louise and Brinkman, Loek and Baini, Agnese and Saviane, Chiara and Salnikova, Asya and Brandstetter-Kunc, Adam and Consolini, Giacomo and Correia, Antónia and Moura, Paula and Fedeli, Maya and England, Jonathan and Venkataraman, Shanmugasundaram and Skarvøy, Aslak and Konach, Teodora and Taraj, Borana and Koller, Katharina and Marschalek, Ilse and Schrammel, Maria and Jurkovic, Sanja and Macan, Bojan and Vodopijevec, Alen and Cahill, Brian and Sevilla, Andrea Giraldo and Pitrelli, Nico and Spera, Alessio Livio and Iasillo, Claudia and Príncipe, Pedro and De Lorenzo, Noemi and Haklay, Muki},
  issn         = {2732-5121},
  journal      = {Open Research Europe},
  publisher    = {F1000 Research Ltd},
  title        = {{Training resources on open and responsible research and innovation (Open RRI): gaps, quality and opportunities to advance training}},
  doi          = {10.12688/openreseurope.23510.1},
  volume       = {6},
  year         = {2026},
}

@techreport{7033,
  author       = {Cammann, Julia and Hellwig, Andre and Mahnke, Milva and Schmidt-Kuhl, Bastian and Vahidi, Behsad and Yadel, Simon},
  pages        = {28},
  title        = {{MIau.nrw Moodle & ILIAS adaptive usable – Ergebnisdokumentation}},
  doi          = {10.57720/7033},
  year         = {2026},
}

@inproceedings{7073,
  author       = {Ketz, Saskia},
  location     = {Bielefeld},
  title        = {{„Der eigene und der fremde Blick. Zur Sichtbarkeit von Impathie im feministischen Selbstporträt“}},
  year         = {2026},
}

@inbook{6787,
  author       = {Madeira Firmino, Nadine and Birkel-Barmsen, Janine},
  booktitle    = {Konflikte in der Praxis der Pädagogik der frühen Kindheit – Verschiedene Sichtweisen auf ein ‚alltägliches‘ Phänomen},
  editor       = {Eling, Vera and Meier, Michelle},
  isbn         = {978-3-7799-8793-2},
  pages        = {167--186},
  publisher    = {Beltz Juventa},
  title        = {{Zwischen Unterstützung und Kontrolle - Spannungsfelder in der Kooperation zwischen Fachberatungen und pädagogischen Leitungen}},
  year         = {2026},
}

@article{7071,
  author       = {Grieshaber, Philippe and Bauer, Adrian and Böning, Andreas and Groesdonk, Heinrich Volker and Heringlake, Matthias and Miera, Oliver and Özlü, Ismail and Schmitt, Sebastian and Schmitz-Rixen, Thomas and Trummer, Georg},
  issn         = {1439-1902},
  journal      = {The Thoracic and Cardiovascular Surgeon},
  number       = {S 04},
  pages        = {99--S144},
  publisher    = {Georg Thieme Verlag KG},
  title        = {{The Use of Intra-Aortic Balloon Pumping in Cardiac Surgery}},
  doi          = {10.1055/a-2812-7835},
  volume       = {74},
  year         = {2026},
}

@inproceedings{7072,
  author       = {Özlü, Ismail and Lisa, Peper},
  location     = {Universität Koblenz},
  publisher    = {DGP},
  title        = {{Die Interrater-Reliabilität der Atemskala nach Bienstein im Setting der thorax- und kardiovaskularchirurgischen Intensivpflege}},
  year         = {2026},
}

@misc{7081,
  author       = {Ketz, Saskia and  Bleja, Jelena},
  isbn         = {9783825266301},
  pages        = {216},
  publisher    = {utb},
  title        = {{Wissenschaftliche Grundlagen für Kunst- und Designstudierende}},
  doi          = {10.36198/9783838566306},
  year         = {2026},
}

@article{7079,
  author       = {Ketz, Saskia},
  journal      = {Fraas, Maike (Hg.): Kommen und Gehen. Designstrategien für die medizinische und psychosoziale Begleitung von Menschen im Übergang zum Leben und zum Tod},
  title        = {{Künstlerische Forschung zum Tode. Wie Fotografie bei einer Sprachlosigkeit am Lebensende wirken kann}},
  year         = {2026},
}

@article{7074,
  author       = {Ketz, Saskia},
  journal      = {Blog des Vereins Un/learning Art and Design Education e.V.},
  title        = {{Gesprächsreihe „Un/learn Teaching“ mit Ina Weise und Sophia Kesting zu den Themen „Toxische Weiblichkeit“, „Un/learn Kanon“ und „Leise Lehre“}},
  year         = {2026},
}

@inproceedings{7068,
  abstract     = {Adopting digital twin technologies in small andmedium-sized enterprises (SMEs) is often hinderedby heterogeneous, poorly documented productiondata. Current semantic type detection approachesrequire massive labeled datasets making themimpractical for resource-constrained SMEs. Wepropose a zero-shot hybrid framework combiningpattern-based classification with selective largelanguage model (LLM) reasoning formanufacturing-specific data types. The two-stagearchitecture uses rule-based patterns for high-confidence cases, forwarding ambiguous columnsto a multi-step LLM reasoner. Evaluation on fourmanufacturing datasets shows the hybrid approachachieves weighted F1 within 7 24 percentagepoints of pure LLM classification performancewhile reducing LLM invocations by 39% onaverage. Processing time decreased by up to 2.8×.Our framework addresses a critical gap: automated,computationally efficient data type recognition formanufacturing SMEs without requiring trainingdata, contributing to automated simulation anddigital twin construction.},
  author       = {Döring, Lina and Trojahn, Sebastian and Reusch, Pascal},
  booktitle    = {19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management},
  editor       = {Behrendt, Fabian and Zadek, Hartmut and Janmontree, Jettarat and Trojahn, Sebastian and Lang, Sebastian},
  keywords     = {Semantic Data Type Detection, DigitalTwin, Manufacturing SMEs, Zero-shot Learning, Hybrid AI, LLM},
  location     = {Magdeburg},
  publisher    = {Otto von Guericke University Library, Magdeburg, Germany},
  title        = {{Smart data adapter: A hybrid pattern-LLM approach}},
  doi          = {10.25673/123544},
  year         = {2026},
}

@misc{7069,
  author       = {Middendorf, Tim},
  title        = {{Rezension vom 17.07.2026 zu: Torsten Linke, Jens Borchert (Hrsg.):Leaving Care. Übergänge gestalten und begleiten: Ein Lehr- und Praxishandbuch für die Soziale Arbeit. Verlag Barbara Budrich GmbH( Opladen, Berlin, Toronto)}},
  year         = {2026},
}

@article{7066,
  author       = {Lukassen, Fabian and Weisser, Christoph and Kneib, Thomas and Silbersdorff, Alexander},
  journal      = {Preprint},
  publisher    = {arxiv},
  title        = {{CAFE: A Compound-AI Factorial Evaluation Framework}},
  doi          = {10.48550/arXiv.2607.10380},
  year         = {2026},
}

@article{7060,
  abstract     = {Hintergrund

Die zunehmende Belastung des Gesundheitssystems erfordert innovative Versorgungslösungen, insbesondere für chronisch Erkrankte wie Diabetiker*innen. Hybride Interaktionssysteme kombinieren digitale Technologien und persönliche Betreuung, um Versorgungslücken zu schließen.
Ziel

Die Studie analysiert Anforderungen, Potenziale und Hürden bei der Nutzung hybrider Systeme aus Sicht von Patient*innen und medizinischen Fachkräften.
Methode

Im Rahmen der HIS4DiaPedes-Studie wurden Online-Befragungen (n = 69) und qualitative Interviews (n = 45) mit Patient*innen und Fachkräften durchgeführt. Die quantitative Analyse erfolgte deskriptiv mit SPSS, die qualitative inhaltsanalytisch nach Mayring mit MAXQDA.
Ergebnisse

Sowohl von medizinischen Fachkräften, als auch von Patient*innen werden sich Echtzeitdaten, individualisierbare Warnfunktionen, eine zentrale Plattform zur Datenerfassung, einfache Kommunikationswege und transparente Datenschutzlösungen gewünscht. Herausforderungen bestehen insbesondere bei älteren Patient*innen sowie in der technischen Infrastruktur.
Schlussfolgerung

Hybride Interaktionssysteme erscheinen als potenziell geeignete Ergänzung der Diabetesversorgung, wenn diese benutzerfreundlich, anpassbar und datenschutzkonform gestaltet sind. Die Ergebnisse liefern Hinweise darauf, dass die Kombination digitaler und persönlicher Elemente sowie partizipative Entwicklungsprozesse für die Akzeptanz solcher Systeme relevant sein könnten; diese Annahmen sollten jedoch in konfirmatorischen Folgeuntersuchungen überprüft werden.},
  author       = {Huperz, Carolin and Katter, Vincent and Klemme, Beate and Özlü, Ismail and Dockweiler, Christoph and Amelung, Rena Isabel},
  issn         = {1861-6763},
  journal      = {Prävention und Gesundheitsförderung},
  publisher    = {Springer Science and Business Media LLC},
  title        = {{Hybride Interaktionssysteme in der Diabetesversorgung – Bedürfnisse, Potenziale und Herausforderungen aus Sicht von Patient*innen und medizinischen Fachkräften}},
  doi          = {10.1007/s11553-026-01340-w},
  year         = {2026},
}

@article{6924,
  abstract     = {Das Positionspapier formuliert neun Thesen zur Weiterentwicklung der Statistikausbildung im Kontext von Data Science und Künstlicher Intelligenz. Im Zentrum stehen Data & Statistical Literacy, Datenqualität und -ethik, die Verbindung von Statistik und Machine Learning sowie die Stärkung einer eigenständigen Statistikdidaktik.

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.

Die Replik greift diese Impulse auf und unterstreicht die interdisziplinäre Verantwortung für eine zukunftsfähige Statistikausbildung.},
  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         = {1863-8163},
  journal      = {AStA Wirtschafts- und Sozialstatistisches Archiv},
  publisher    = {Springer},
  title        = {{Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung}},
  doi          = {10.1007/s11943-026-00372-0},
  year         = {2026},
}

@inproceedings{7039,
  author       = {Hirschfeld, Gerrit and Jagemann, Inga},
  booktitle    = {Design, User Experience, and Usability. 15th International Conference, DUXU 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part II},
  editor       = {Schrepp, Martin},
  isbn         = {978-3-032-30079-9},
  issn         = {1611-3349},
  location     = {Montreal, QC, Canada},
  pages        = {268--279},
  publisher    = {Springer Nature Switzerland},
  title        = {{Improving HCI-Research Using Behavioral Measures - A Tutorial in Choice Based Conjoint Analysis}},
  doi          = {10.1007/978-3-032-30080-5_18},
  year         = {2026},
}

@article{6957,
  author       = {Amorin, Alvaro Paredes and Python, Andre and Weisser, Christoph},
  journal      = {LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop},
  title        = {{Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting}},
  doi          = {10.48550/arXiv.2603.09085},
  year         = {2026},
}

@article{6959,
  author       = {Schlee, Michael and Kivimaki, Timo and Mashiku,  Melchizedek and Weisser, Christoph and Säfken, Benjamin},
  journal      = {LREC 2026 - The Fifteenth biennial Language Resources and Evaluation Conference - Financial Narrative Processing (FNP) Workshop},
  title        = {{LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification}},
  doi          = {10.48550/arXiv.2512.10793},
  year         = {2026},
}

@article{7038,
  author       = {Nadolny, Stephan and Grunwald, Marie and Gröndahl, Annika and Palmdorf, Sarah and Ilskens, Karina and Borchardt, Nina and Maaß, Annika and Schulenkorf, Tessa and Schniering, Stefanie and Afroukhte, Dariusch and Richter, Miriam  Tariba and Offermanns, Matthias and Parloh, Ann  Kathrin and Grebe, Christian and Latteck, Änne-Dörte},
  journal      = {Preprint},
  publisher    = {Elsevier BV},
  title        = {{Case management and care expertise as a prevention approach for adults with intellectual disabilities: results of a randomized-controlled trial}},
  year         = {2026},
}

