@misc{13706,
  abstract     = {{Urban Nature-based Solutions (NBS) are hypothesized to play an important role in promoting health, but most of the evidence is cross-sectional. This study aims to examine the effects of an integrated urban intervention with NBS at its core, implemented in the Nantes Nord district on residents' physical activity, social activity, environmental quality of life and social network as well as self-rated health and mental health. Analysing 902 observations from 2 datasets, pre- and post-intervention, we categorized 802 participants within Nantes Nord as the treatment group and 100 from other districts as the control group. We used Propensity Score Matching to adjust for selection bias in the dataset and Difference-in-Differences analysis to evaluate changes in physical activity, socializing activities, social networks, environmental quality of life, as well as self-rated health and mental health outcomes. Our results indicate that the urban tranformation with NBS at its core was associated with a significant increase in physical activity levels and to some extent in social ties. However, no immediate improvements were noticeable in socializing activities, environmental quality of life, or health outcomes, suggesting a latency in the broader effects of such interventions. This study underscores the immediate effects of the integrated NBS intervention on physical activity as a precursor to potentially more significant health benefits, which should be followed up with a more mid-to-long-term evaluation of such NBS interventions. Our findings advocate for the integration of connected green space corridors in urban planning to facilitate active lifestyles as sustainable commitments by local authorities and stakeholders.}},
  author       = {{Cardinali, Marcel and Fleury-Bahi, Ghozlane and Sapin, Arnaud and Bodénan, Philippe and Bechet, Beatrice and Petrova, Milena Tasheva and Burov, Angel and Ferilli, Guido}},
  booktitle    = {{Quick And Easy Journal Title}},
  keywords     = {{NBS, green space, Health, urban transformation, Impact Assessment, Propensity, Score Matching}},
  pages        = {{In Press, Journal Pre--proof}},
  publisher    = {{Elsevier}},
  title        = {{{Evaluation of an Urban Nature-Based Solutions Intervention on Health-Related Indicators: A Propensity Score Matching and Difference-in- Differences Study in Nantes Nord}}},
  doi          = {{https://doi.org/10.1016/j.ufug.2026.129465}},
  year         = {{2026}},
}

@misc{13708,
  abstract     = {{In dieser Bachelorarbeit wird untersucht, welche narrativen Strategien Netflix bei aktuellen Eigenproduktionen verwendet, um die Zuschauerbindung mithilfe von Binge-Watching zu erhöhen. Dafür werden die Serien 3 Body Problem (2024) und Berlin (2023) mithilfe einer qualitativen Inhaltsanalyse als Vergleichende Fallstudie analysiert. Die Analyse erfolgt auf drei unterschiedlichen Ebenen. Dazu gehören die Makroebene, die Mesoebene und die Mikroebene. Diesen Ebenen werden narrative Mittel als Kategorien zugeordnet und mithilfe eines Bedingungs-Mechanismus-Effekt-Modells ausgewertet. Dies ermöglicht das strukturellen Rahmenbedingungen (gleichzeitige Veröffentlichung von Episoden einer Staffel) mit den narrativen Strategien (z.B. Cliffhanger, Steuerung von Handlungssträngen, Mystery-Elemente) verbunden werden. Dabei ist die narrative Kontrolle ein übergeordnetes Konzept. In dieser Arbeit fällt darunter die gezielte Steuerung der Zuschauererfahrung, durch die Verwendung verschiedener narrativer Mittel als Mechanismen. Die narrativen Mittel der narrativen Kontrolle werden dann auf den drei Ebenen analysiert. Dazu zählen eine dosierte Informationsvergabe, episodenübergreifende Spannungsbögen und der Aufbau emotionaler Bindungen. Dafür wird die narrative Kontrolle im theoretischen Rahmen definiert und von verwandten Konzepten abgegrenzt. In der Analyse wird zwischen plattformtypischen und genrespezifischen Erzählmustern unterschieden. Es stellt sich heraus, dass eine übergeordnete Kapitelstruktur, Cliffhanger, die Spannungserzeugung, die Steuerung von Handlungssträngen und emotionale Charakterbindungen möglicherweise plattformtypisch sind und zu der Zuschauerbindung durch eine Binge-Watching Begünstigung beitragen können. Dabei sind die Anwendung narrativer Kontrolle, wie das Ausmaß der narrativen Unabgeschlossenheit, der Einsatz von zeitlichen Strukturen und die Intensität der Mystery-Mechanismen genrespezifisch und variieren.}},
  author       = {{Villing, Adrian}},
  keywords     = {{Binge-Watching, Netflix, narrative Kontrolle, Serialität, Serien, Streaming, Zuschauerbindung, qualitative Inhaltsanalyse, narrative Strategien, narrative Erzählstrukturen}},
  pages        = {{78}},
  publisher    = {{Technische Hochschule Ostwestfalen-Lippe}},
  title        = {{{Binge-Watching und narrative Kontrolle bei Netflix : Eine Analyse am Beispiel von Berlin und 3 Body Problem (2023–2025)}}},
  year         = {{2026}},
}

@misc{13709,
  author       = {{Stawinoga, Martin}},
  booktitle    = {{Betriebswirtschaftliche Forschung und Praxis}},
  issn         = {{0340-5370 }},
  number       = {{2}},
  pages        = {{206--207}},
  publisher    = {{NWB Verlag}},
  title        = {{{Umsetzung von Integrated Thinking durch das Performance Measurement, von: Maßmann, K., Verlag Dr. Kovač, Hamburg 2025}}},
  year         = {{2026}},
}

@misc{13710,
  author       = {{Staudenmaier, Torben}},
  pages        = {{64}},
  publisher    = {{Technische Hochschule Ostwestfalen Lippe}},
  title        = {{{Erstellung eines POV-Videos im Mountainbike-Tourismus: Potenziale für medienübergreifende Nutzung zur Erschließung von Mountainbike-Gebieten}}},
  year         = {{2026}},
}

@inbook{13712,
  abstract     = {{Biopharmaceutical quality in upstream mammalian cell culture has historically relied on Quality-by-Test (QbT) paradigm, where fixed processes are verified by end-point assays despite limited process observability and substantial biological variability. This chapter discusses how Process Analytical Technology (PAT), aligned with the Quality-by-Design (QbD) framework, enables measurement-driven process understanding and timely control by linking the trajectories of critical process parameters (CPPs) to critical quality attributes (CQAs). We review fit-for-purpose at-line, on-line, and in-line analytical technologies used in mammalian cell culture and summarize their roles across the process development and manufacturing lifecycle. Applications include multivariate process characterization, state-based monitoring and control, and trajectory-based process supervision. Finally, we outline future directions toward IIoT-enabled connectivity, soft sensors, and integrated multi-sensor PAT platforms, which are expected to support adaptive control strategies, digital twins, and ultimately autonomous biomanufacturing.}},
  author       = {{Park, Cheol-Hwan and Jeon, Yunjoo and Uhlendorff, Selina and Pein-Hackelbusch, Miriam and Lee, Dong-Yup}},
  booktitle    = {{Reference Module in Life Sciences}},
  editor       = {{Roitberg, Bernard D. }},
  publisher    = {{Elsevier}},
  title        = {{{Process Analytical Technology in Upstream Mammalian Cell Cultures}}},
  doi          = {{10.1016/b978-0-443-24738-5.00086-0}},
  year         = {{2026}},
}

@misc{13721,
  abstract     = {{In this study, we examined the possibility of detecting different types of materials that contaminate carcasses during industrial pig slaughter using video image analysis and artificial intelligence (AI). A camera system was installed between evisceration and postmortem meat inspection on an industrial pig slaughter line with a capacity of 12,000 pigs per day. The pigs were photographed using five 2D cameras, and the images were analysed for contamination using an AI-based algorithm. The setup, which was developed and installed by CLK GmbH, performed under industrial conditions. In order to train the system, specifications were created for the most frequently occurring types of contamination, namely, intestinal contents, bile, stomach contents, and tubular rail fat. Afterward, the system was trained using annotated images. In principle, the system was able to recognize all types of contamination on the camera images; even pinhead-sized contaminations were visible. The agreement between the algorithm and the results of an expert assessor who assessed the images online agreed in 60% of the judgements. The agreement between experts using onsite assessment and those using online assessment by images was 73%. Thus, the kappa measure of agreement was κ = 0.1215 (p = 0.0199). Significantly higher recognition rates appear to be possible by adjusting the algorithm and increasing the number of training images. Thus, the system is a useful tool to preselect contaminated carcasses and to support postmortem inspection.}},
  author       = {{Tholen, Janna and Kirse, Alina and Voß, Alexander and Schulze Althoff, Gereon and Strotkötter, Lea and Kreienbrock, Lothar and Upmann, Matthias}},
  booktitle    = {{Frontiers in Food Science and Technology}},
  issn         = {{2674-1121}},
  keywords     = {{artificial intelligence (AI), bile contamination, contamination detection, faecal contamination, slaughter hygiene, tubular rail fat}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Detection of carcass contamination using video image analysis during industrial pig slaughter}}},
  doi          = {{10.3389/frfst.2026.1698416}},
  volume       = {{6}},
  year         = {{2026}},
}

@misc{13726,
  abstract     = {{This study aims to review and analyze the relationship between early childhood breastfeeding, nutrition, and weight status in children. We hypothesized (a) that differences in breastfeeding practices may explain sociodemographic disparities in children’s overweight and obesity, and (b) that breastfeeding practices may also explain sociodemographic disparities in children’s diet quality. Data from N = 7180 children aged 2 to 6 years from NHANES (2005–2018) were classified based on weight status (normal weight, overweight, obesity, severe obesity), breastfeeding, and in terms of healthy eating (using the Healthy Eating Index). We used multinomial logistic and linear regressions to determine pathways between sociodemographic variables, breastfeeding, and weight status, as well as between sociodemographic and breastfeeding variables and healthy eating scores. Sociodemographic factors were significantly associated with childhood weight status, breastfeeding history, and healthy eating. Weight status increased with child male gender, Mexican American and Other Hispanic ethnicity, lower education, lower income, and single marital status; breastfeeding decreased with child age, Non-Hispanic Black ethnicity, lower education, and single marital status, but increased with Mexican American ethnicity and higher income. A mediation analysis showed indirect pathways from sociodemographic variables to weight status via breastfeeding duration. Similar patterns emerged for healthy eating. The results indicate that breastfeeding is associated with modestly lower odds of severe obesity and improved diet scores in early childhood, even after accounting for socioeconomic and demographic differences. Breastfeeding appears to be a meaningful early-life factor with a significant impact on weight and healthy dietary outcomes.}},
  author       = {{Klicker, Frauke and Halbeisen, Georg and Paslakis, Georgios}},
  booktitle    = {{Reviews in Endocrine and Metabolic Disorders}},
  issn         = {{1573-2606}},
  keywords     = {{Breastfeeding, Obesity, Healthy eating, Weight disorders, Social diversity}},
  publisher    = {{Springer }},
  title        = {{{Can breastfeeding practices explain sociodemographic disparities in childhood obesity and healthy eating? Results from NHANES 2005–2018}}},
  doi          = {{10.1007/s11154-026-10049-2}},
  year         = {{2026}},
}

@misc{13730,
  abstract     = {{This paper introduces an LLM-mediated AI Advisor that contextualizes and synthesizes heterogeneous explainable AI (XAI) outputs to support fast and calibrated misinformation judgments in time-sensitive social media settings. We define LLM-mediated XAI as a process in which a large language model aggregates, prioritizes, and translates heterogeneous XAI outputs into a context-sensitive explanation tailored to the user’s decision situation. Semantic features, XAI modules and LLM-based summarization and synthesis enable the generation of explanations that are adapted in three ways: compressed for time-efficient decisions, translated into non-technical language, and progressively expandable for deeper inspection. Through a mixed-methods user study, including a quantitative study and a qualitative study, we analyze how users interpret, challenge and strategically rely on LLM-mediated explanations during real-world misinformation assessment tasks. The findings indicate that the approach reduces time-to-decision and supports critical inspection without inducing over-reliance. Progressive disclosure and different techniques to present information favored different user needs while conversational functionality was rarely used due to unclear benefits and fear of confusion.}},
  author       = {{Grimm, Valentin and Rubart, Jessica and Herder, Eelco and Röcker, Carsten}},
  booktitle    = {{WebSci Companion '26: Companion Publication of the 2026 18th ACM Web Science Conference}},
  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}},
  isbn         = {{979-8-4007-2492-3}},
  keywords     = {{Large Language Model Mediation, Explainable AI, Decision Co- Pilot Systems, Misinformation Detection}},
  location     = {{Braunschweig}},
  pages        = {{110--116}},
  publisher    = {{ACM}},
  title        = {{{LLM-Mediated XAI Explanations: An AI Advisor for Fast and Calibrated Judgments on Potential Misinformation}}},
  doi          = {{https://doi.org/10.1145/3795513.3810452}},
  year         = {{2026}},
}

@misc{13773,
  author       = {{Aschmoneit, Finja}},
  keywords     = {{Szenenbild, Produktion Design, Film, Neurodiversität}},
  pages        = {{84}},
  publisher    = {{Technische Hochschule Ostwestfalen-Lippe}},
  title        = {{{Räume als Spiegel der Psyche: Welchen Einfluss das Szenenbild auf die filmische Portraitierung neurodivergenter Perspektiven haben kann}}},
  year         = {{2026}},
}

@misc{13780,
  abstract     = {{Die vorliegende Bachelorarbeit untersucht die Frage, wie Instagram als Instrument der Krisenkommunikation im Katastrophenschutz durch Behörden und Hilfsorganisationen effektiv eingesetzt werden kann. Ausgangspunkt der Arbeit ist die zunehmende Bedeutung von Social Media im gesellschaftlichen Medienkonsum sowie der steigende Informationsbedarf der Bevölkerung während Großschadenslagen und Naturkatastrophen.

Im theoretischen Teil werden zunächst zentrale Begriffe wie Risiko- und Krisenkommunikation, Katastrophenschutz sowie Social Media definiert und voneinander abgegrenzt. Anschließend werden kommunikationswissenschaftliche Ansätze, darunter das Modell des Informationsverhaltens nach Wilson, die Sense-Making-Theory nach Dervin sowie der Uses-and-Gratifications-Ansatz nach Katz, herangezogen, um das Informationsbedürfnis der Bevölkerung in Krisensituationen zu analysieren.

Im empirischen Teil erfolgt eine Medienanalyse der Instagram-Kommunikation des Landkreises Heidekreis sowie des DLRG Landesverbandes Niedersachsen während des Weihnachtshochwassers 2023/2024. Die Untersuchung zeigt, dass Instagram insbesondere durch seine Schnelligkeit, mobile Nutzbarkeit und die Möglichkeit der zweiseitigen Kommunikation ein geeignetes Medium zur Informationsvermittlung in Krisensituationen darstellt. Gleichzeitig wird deutlich, dass sich Kommunikationsziele und Zielgruppen der Akteure unterscheiden und die Potenziale des Community-Managements bislang nur begrenzt ausgeschöpft werden.

Auf Grundlage der theoretischen Erkenntnisse und der Medienanalyse entwickelt die Arbeit einen Kriterienkatalog für eine sinnvolle Krisenkommunikation über Social Media. Dieser umfasst unter anderem die strategische Planung der Kommunikation, die zielgruppenorientierte Auswahl von Kommunikationskanälen, den langfristigen Aufbau von Reichweite und Vertrauen sowie die transparente und regelmäßige Bereitstellung relevanter Informationen.

Die Arbeit kommt zu dem Ergebnis, dass Instagram klassische Kommunikationswege im Katastrophenschutz nicht ersetzen, jedoch sinnvoll ergänzen kann. Voraussetzung dafür ist eine professionelle, kontinuierliche und strategisch ausgerichtete Nutzung der Plattform bereits vor dem Eintritt einer Krise.}},
  author       = {{Wagner, Benedikt}},
  keywords     = {{Krisenkommunikation, Katastrophenschutz, Social Media, Instagram, Risikokommunikation}},
  publisher    = {{TH OWL}},
  title        = {{{- Social Media im Katastrophenschutz - Wie kann Instagram als Instrument der Krisenkommunikation im Katastrophenschutz durch Hilfsorganisationen und Behörden effektiv eingesetzt werden?}}},
  year         = {{2026}},
}

@proceedings{13782,
  editor       = {{Rubart, Jessica and Atzenbeck, Claus}},
  isbn         = {{979-8-4007-2154-0}},
  location     = {{New York}},
  publisher    = {{ACM Press}},
  title        = {{{Proceedings of the 8th international Workshop on Human Factors in Hypertext (HUMAN’25)}}},
  doi          = {{10.1145/3759439}},
  year         = {{2026}},
}

@misc{13783,
  abstract     = {{Objective
This study examined the association between socio-demographic patterns and eating disorder (ED) risk in 298 women (mean age = 28.4 years). We focused on women, as existing research suggests that EDs disproportionately affect women. Within this sample, we took into account the intersections of different socio-demographic variables. Additionally, we assessed body dissatisfaction and subjective health status (S-HS) as self-reported measures to gain a more comprehensive understanding of ED risk.
Method
We conducted a cluster analysis (k-means) using ten demographic variables (e.g., sexual orientation, migration history, presence of disabilities), which revealed three distinct participant clusters. Then, we applied two multiple logistic regression models using cluster membership, body dissatisfaction related to fat (BD-F) and muscularity (BD-M), and S-HS as determinants, with the outcome being ED risk measured using two scales (EAT-8; EDE-Q).
Results
Cluster Three – notably characterized by queer women with a migration history and identification as part of an ethnic minority - showed a consistently higher ED risk. In contrast, Cluster One, which included a higher proportion of older individuals as well as individuals with disabilities, or caregiving responsibilities, showed the lowest risk for ED. In Cluster Two an increased risk for EDs was observed in the EAT-8, but not in the EDE-Q, suggesting measurement-specific differences. BD-F and BD-M were significantly associated with ED risk. BD-F proved to be the factor with the strongest influence.
Conclusions
We emphasize the importance of considering person-centered socio-demographic positions and different forms of body dissatisfaction to assess the risk of ED.}},
  author       = {{Jürgensen, Vanessa C. and Halbeisen, Georg and Lehe, Martin S. and Paslakis, Georgios}},
  booktitle    = {{Journal of Eating Disorders}},
  issn         = {{2050-2974}},
  keywords     = {{Eating disorder risk, Socio-demographic patterns, Body dissatisfaction}},
  number       = {{1}},
  publisher    = {{BioMed Central}},
  title        = {{{Associations between socio-demographic patterns, body dissatisfaction, and eating disorder risk in women: a cluster-based approach}}},
  doi          = {{10.1186/s40337-026-01616-8}},
  volume       = {{14}},
  year         = {{2026}},
}

@inbook{13788,
  abstract     = {{Die zunehmende Integration humanoider Roboter in Marketing und Kundeninteraktion wirft zentrale Fragen zur Markenführung und Konsumentenakzeptanz auf. Während Roboter als Markenbotschafter theoretisch Effizienz und Innovation verkörpern, bleibt unklar, wie sie das Vertrauen, die emotionale Bindung und die Wahrnehmung von Authentizität beeinflussen. Dieses Kapitel beleuchtet die Potenziale und Grenzen des Einsatzes humanoider Roboter in der Markenkommunikation. Basierend auf aktuellen Studien zur Mensch-Roboter-Interaktion werden zentrale Erfolgsfaktoren analysiert, darunter anthropomorphe Gestaltung, soziale Präsenz und situative Kontextfaktoren. Zudem werden Risiken wie das „Uncanny Valley“-Phänomen und mögliche Akzeptanzbarrieren aus Konsumentensicht diskutiert. Abschließend werden Implikationen für das Marketing-Management abgeleitet: Welche Branchen und Marken profitieren besonders von humanoiden Robotern? Wie lassen sich negative Konsumentenreaktionen minimieren? Und welche strategischen Leitlinien sollten Unternehmen für den erfolgreichen Einsatz robotischer Markenbotschafter beachten? Durch eine interdisziplinäre Perspektive an der Schnittstelle von Marketing, Künstlicher Intelligenz und Verhaltenspsychologie liefert dieses Kapitel neue Impulse für eine zukunftsweisende Markenführung im Zeitalter intelligenter Maschinen.}},
  author       = {{Paluch, Stefanie and Wittkop, Thomas}},
  booktitle    = {{Marketing.Neu.Denken ; mpulse für eine Disziplin im Wandel}},
  editor       = {{Bruhn, Manfred and Burmann, Christoph and Kirchgeorg, Manfred}},
  isbn         = {{978-3-658-49370-7}},
  keywords     = {{Robotik, Marketing, Markenkommunikation}},
  pages        = {{451–473}},
  publisher    = {{Springer Gabler}},
  title        = {{{Von Menschen und Maschinen: Humanoide Roboter als Markenbotschafter – Chancen, Herausforderungen und Konsumentenreaktionen}}},
  doi          = {{https://doi.org/10.1007/978-3-658-49371-4_18}},
  year         = {{2026}},
}

@misc{13794,
  author       = {{Pilar von Pilchau, Katharina and Schaefer, Alexandra}},
  location     = {{Bielefeld}},
  title        = {{{Identification of flooded area using a data-driven model A case study of selected catchment areas in the Weserbergland region}}},
  year         = {{2026}},
}

@inbook{13804,
  author       = {{Cardinali, Marcel}},
  booktitle    = {{Nachhaltige RegionalGesundheit Ostwestfalen-Lippe; Bestandsaufnahme und Handlungsperspektiven}},
  editor       = {{Hornberg, Claudia and Freymüller, Julius and Ritzinger, Silja and Fehr, Rainer}},
  isbn         = {{978-3-98726-533-4}},
  pages        = {{318--326}},
  publisher    = {{oekom Verlag}},
  title        = {{{Gesunde Wohnquartiere – Aktuelle Herausforderungen und Anpassungsstrategien in Ostwestfalen-Lippe}}},
  doi          = {{10.14512/9783987266430}},
  volume       = {{8}},
  year         = {{2026}},
}

@misc{13805,
  abstract     = {{Introduction

Social determinants play a critical role in shaping mental health (MH) outcomes. The World Health Organization emphasizes the importance of addressing such factors to reduce MH disparities. This scoping review aims to assess the landscape of research on social determinants of MH in Germany, focusing on frequently studied social determinants, MH outcomes, and underlying theoretical frameworks and explanatory mechanisms, particularly the consideration of the framework of intersectionality.
Methods

Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines, a systematic literature search was conducted in PubMed and Web of Science. Studies that specifically addressed social determinants of MH in Germany were targeted, and data were charted to map key research trends.
Results

A total of 73 studies were included in the data analysis and synthesis, and outcomes were grouped into eight social determinants of health domains. The most frequently examined domains were demographics (in 96.0% of included studies), interpersonal/community/cultural influences (89.3%), economic stability (72.0%), and education (57.3%). Less frequently addressed domains included neighborhood and built environment (25.3%), environmental events (16.0%), other health-related determinants (16.0%), and healthcare access and quality (5.3%). We observed substantial heterogeneity within and between domains. MH outcomes were more often studied in terms of mental illness than positively defined MH, with depression and anxiety being the most frequently assessed outcomes. Theoretical frameworks such as the biopsychosocial model, social-ecological perspectives, and resilience theory were commonly applied, while intersectionality was rarely explicitly analyzed.
Discussion

This scoping review delineates the research landscape on social determinants of MH in Germany. The findings point towards a predominant focus on individual-level determinants, with comparatively limited attention to systemic and structural factors. Moreover, an emphasis on mental illness rather than MH, alongside substantial heterogeneity in measured constructs, may constrain the understanding of MH disparities. These gaps highlight the need for more comprehensive, intersectional approaches that account for the diversity of individuals, contexts, and outcomes.}},
  author       = {{Lehe, Martin S. and Reiß, Pauline and Jürgensen, Vanessa C. and Halbeisen, Georg and Paslakis, Georgios}},
  booktitle    = {{International Journal for Equity in Health}},
  issn         = {{1475-9276}},
  keywords     = {{Social determinants, Social determinants of health, Mental health, Intersectionality, Health care inequities, Gender, Systematic review}},
  number       = {{1}},
  publisher    = {{BioMed Central}},
  title        = {{{Social determinants of mental health in Germany: a systematic scoping review mapping the landscape of researched determinants, outcome measures, and explanatory concepts}}},
  doi          = {{10.1186/s12939-026-02877-0}},
  volume       = {{25}},
  year         = {{2026}},
}

@inbook{13812,
  author       = {{Köller, Lars and Korff, Micheal and Gerhards, Harald and Mülders, Wolfgang}},
  booktitle    = {{Handbuch Hochschulmanagement}},
  editor       = {{Breithecker, Volker and Prinz, Joachim and Radde, Jens and Strotkemper, Michael}},
  isbn         = {{978-3-503-24283-2}},
  pages        = {{91--113}},
  publisher    = {{Erich Schmidt Verlag GmbH & Co. KG}},
  title        = {{{Weg zur Gründung des größten hochschulübergreifenden Kooperationsprojektes im Bereich der IT (HITS.nrw)}}},
  year         = {{2026}},
}

@misc{13814,
  abstract     = {{At the HUMAN’25 workshop, four members of the hypertext research community reflected on the “hypertext as method” argument; specifically, the idea that hypertext should be understood as a method of inquiry rather than as merely a type of system. These community members presented position statements to address challenges stemming from this proposed method, including designing interfaces for LLMs, supporting annotation and note-taking as cognitive tools, evaluating AI as a collaborator in intellectual work, and applying hypertext analysis to historical information networks. These positions and the subsequent discussion contained several common themes, including a preference for augmentation over automation and concerns that generative AI may encourage users to disengage from critical thinking.}},
  author       = {{Bernstein, Mark and Blustein, James and Marshall, Cathy and Pisarski, Mariusz and Nürnberg, Peter and Atzenbeck, Claus  and Rubart, Jessica}},
  booktitle    = {{Proceedings of the 8th Workshop on Human Factors in Hypertext (HUMAN '25)}},
  location     = {{London, UK; hybrid}},
  publisher    = {{ACM Press}},
  title        = {{{Hypertext as Method—Continued}}},
  doi          = {{10.1145/3759439.3773695}},
  year         = {{2026}},
}

