1. Platz „MöglichMacher – Bayerischer Hochschulpreis Entrepreneurship 2026“ Kategorie "Hochschulen für angewandte Wissenschaften / Technische Hochschulen"
Durst, Carolin; Hähnlein, Johannes (2026)
MöglichMacher26.
Peer Reviewed
2. Platz für das Format „Stage HERo“ mit dem nordbayerischen Hochschulverbund (mit der Technischen Hochschule Nürnberg Georg Simon Ohm, Otto-Friedrich-Universität Bamberg, Universität Bayreuth und Hochschule Coburg)
Ansbach, Hochschule (2026)
MöglichMacher26.
Peer Reviewed
AI Engineering Blueprint for On-Premises Retrieval-Augmented Generation Systems
Weeger, Nicolas; Winkler, Jakob; Stiehl, Annika; von Kistowski, Jóakim ; Uhl, Christian; Geißelsöder, Stefan (2026)
Weeger, Nicolas; Winkler, Jakob; Stiehl, Annika; von Kistowski, Jóakim ; Uhl, Christian...
International Conference on Software Architecture (ICSA) 2026, Amsterdam.
Peer Reviewed
Misaligned Behaviors and Dangerous Capabilities in AI Safety: A Conceptual Cross-Source Analysis
Alismail, Ahmad; Woldai, Betiel; Lanquillon, Carsten; Schacht, Sigurd (2026)
AI Transparency Conference (AITC) 2026.
Open Access Peer Reviewed
From Recognition to Refusal: Mapping Safety Formation Zones Across Model Architectures
Lanquillon, Carsten; Schacht, Sigurd (2026)
AI Transparency Conference (AITC) 2026.
Open Access Peer Reviewed
Rethinking Red Teaming: There Is More To Agents Than LLMs
Wacker, Thomas; Lanquillon, Carsten; Schacht, Sigurd (2026)
AI Transparency Conference (AITC) 2026.
Open Access Peer Reviewed
Architecture as Governance: Why LLM Agents Need Structural Compliance Enforcement
Höpfner, Steffen; Schacht, Sigurd (2026)
AI Transparency Conference (AITC) 2026.
Peer Reviewed
Gesundheitsversorgung mit blinden Flecken - der Gender Health Gap im Überblick
Scholz, Stefanie (2026)
Healthtech Innovation Insight.
Open Access
The Greenfluencer Effect: How Instagram Messages Affect Purchase Intention and Attitudes Toward Sustainable Fashion
Eschborn, Vanessa; Durst, Carolin (2026)
Proceedings - 13th European Conference on Social Media (ECSM 2026), Larnaca, Cyprus 2026 (13).
DOI: 10.34190/ecsm.13.1.4670
Open Access Peer Reviewed
This paper experimentally examines how different greenfluencer message types (emotional, informational, social, and neutral) on Instagram affect purchase intention and attitudes toward sustainable fashion, with a particular focus on non-sustainable consumers. In an online experiment, 202 participants were randomly assigned to one of four fictitious Instagram posts and completed pre- and post-measures of attitudes and purchase intention. The results show that none of the message types improved purchase intention or attitudes; instead, most effects were negative. However, attitudes remained positively associated with purchase intention. The findings suggest that greenfluencer communication does not automatically promote sustainable consumer responses and is not more effective among non-sustainable consumers.
Advancements in Digital Health and Care - Empowering Healthcare Through Innovation, Strategies and Ethical Considerations
Wüchner-Fuchs, Marion; Scholz, Stefanie; Höller, Kurt (2026)
Open Access Peer Reviewed
This open access book offers a comprehensive exploration of digital health and care, addressing the profound transformations driven by digital technologies in the healthcare sector. It serves as a vital resource for understanding the evolution, impact and future directions of digital health innovations, providing readers with in-depth knowledge of regulatory frameworks, adoption strategies and patient-centric approaches. Drawing on perspectives from hospital care, ambulatory services, and long-term care, the book offers practical insights into implementation strategies, organizational change, and sector-specific challenges.
Overview of Key Challenges and Opportunities
Scholz, Stefanie (2026)
Advancements in Digital Health and Care - Empowering Healthcare Through Innovation, Strategies and Ethical Considerations 2026.
DOI: 10.1007/978-3-032-16837-5_3
Open Access
Digital health technologies are advancing rapidly and are beginning to reshape how care is accessed, delivered, and financed, creating new possibilities for more timely, patient-centered, and resilient health systems. At the same time, their large-scale adoption is constrained by persistent barriers such as unequal access and digital literacy, unresolved questions around data privacy, security and ownership, limited interoperability between fragmented systems, cultural resistance within organizations, and uncertain reimbursement and sustainability models. This chapter offers a concise map of this landscape by outlining key challenges, including the digital divide, governance of health data, integration and interoperability, change management, “pilotitis,” and ethical risks, as well as major opportunities, from AI-enabled decision support and personalized medicine to real-time analytics, value-based care, and gamified approaches to engagement. It also highlights how these issues intersect across regulatory frameworks, implementation strategies, equity considerations, and emerging innovation paradigms discussed in later chapters. It argues that the same technologies that can deepen fragmentation and inequity, if poorly governed, can also be harnessed through deliberate policy, design, and business models to generate durable, system-wide benefits.
Applying dynamical component analysis to marker-based gait data // Ganganalyse mit Hilfe der dynamischen Komponentenanalyse
Uhl, Christian (2026)
MTI Symposium 2026 in Remagen, Germany.
Peer Reviewed
Responsible Use of AI: Ethical Considerations for Marginalized Groups
Scholz, Stefanie (2026)
Advancements in Digital Health and Care - Empowering Healthcare Through Innovation, Strategies and Ethical Considerations 2026.
DOI: 10.1007/978-3-032-16837-5_13
Open Access Peer Reviewed
This chapter addresses the ethical considerations essential for the responsible use of AI in healthcare, with a focus on marginalized populations such as ethnic minorities, people with disabilities, and underserved communities. It highlights key dimensions including data equity, algorithmic fairness, explainability, participatory design, and governance for accountability. The chapter emphasizes that AI systems must be trained on diverse and representative data to avoid perpetuating biases that disproportionately harm marginalized groups. Algorithmic fairness requires ongoing bias detection and mitigation, combined with transparent and interpretable AI models that build trust. Inclusive development through community participation ensures AI tools reflect the needs and values of those they serve. Strong governance frameworks, aligned with regulatory standards like the EU AI Act, are necessary to enforce accountability and protect vulnerable populations. When ethically implemented, AI can improve access, personalize care, and support proactive health management for underserved groups. However, the chapter cautions that these benefits depend on continuous commitment to equity, collaboration among stakeholders, and ongoing dialogue with affected communities to prevent exacerbating existing health disparities.
Case Study: Digital Transformation of IT-Supported Knowledge Transfer at Fast-Growing SME
Müller, Michael (2026)
In: Bodrožić-Brnić, K., Schulte, V., Thiessen, T. (eds) Digital Transformation in Knowledge Transfer. Digital Transformation and Innovation. Springer, Cham., 22-53.
DOI: 10.1007/978-3-032-07329-7_2
Peer Reviewed
Extracting Dynamical Systems-Based Signals from Noisy and Incomplete Datasets
Uhl, Christian (2026)
5th Symposium on Machine Learning and Dynamical Systems (MLDS 5) & Differential Equations for Data Science (DEDS 2026) in Kyoto, Japan.
Peer Reviewed
Sicherung impliziten Wissens im Gesundheitswesen: Herausforderungen, Lösungen und digitale Transformation
Müller, Michael (2026)
In: Thiessen, A., Eysel, C. (eds) Wissensmanagement im Gesundheitswesen, Zukunftsfähige Strategien für Qualitätsversorgung, MWV Medizinisch Wissenschaftliche Verlagsgesellschaft 2026, 22-32.
Best Paper Award für das Paper "From Features to Value: A Framework for Strengthening Customer Orientation in Tech Startups"
Durst, Carolin; Garg, Ritam; Scherff, Laura (2026)
Indian Academy of Management Conference 2026, Pune, India.
Peer Reviewed
From Features to Value: A Framework for Strengthening Customer Orientation in Tech Startups
Durst, Carolin; Garg, Ritam; Scherff, Laura (2026)
Proceedings of the 11th Indian Academy of Management Conference, Pune, India, 131.
Open Access Peer Reviewed
Startups often fail not because of weak technology, but because they overlook what truly drives customer decisions: perceived benefits and values. This study introduces a new tool that combines the Value Proposition Canvas and the Jobs-to-be-Done Concept with Bain & Company's Elements of Value Pyramid, creating a structured Value Integration Guide. The outcome is the Value Integration Map, which helps startups move beyond technical features to uncover customer values and translate them into compelling value propositions. Tested in workshops with two B2B technology startups, the tool proved effective in fostering customer orientation while also revealing areas requiring additional guidance. By making hidden customer values explicit, the Value Integration Map bridges product development and marketing. For engineers, it highlights opportunities for improvement; for marketers, it provides a strong foundation for positioning, messaging, and communication strategies. Ultimately, it enables startups to define not just what their product does-but why it matters.
Robust Dynamical Component Analysis and Initial Results of Its Application to EEG Data of Epileptic Seizures
Lämmermann, Nina; Warmuth, Monika; Stiehl, Annika; Weeger, Nicolas; Ille, Nicole; Geißelsöder, Stefan; Uhl, Christian (2025)
Lämmermann, Nina; Warmuth, Monika; Stiehl, Annika; Weeger, Nicolas; Ille, Nicole...
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark.
DOI: 10.1109/EMBC58623.2025.11253626
Peer Reviewed
Towards Automated EEG-Based Epilepsy Detection Using Deep Convolutional Autoencoders
Stiehl, Annika; Weeger, Nicolas; Uhl, Christian; Bechtold, Dominic; Ille, Nicole; Geißelsöder, Stefan (2025)
Stiehl, Annika; Weeger, Nicolas; Uhl, Christian; Bechtold, Dominic; Ille, Nicole...
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark.
DOI: 10.1109/EMBC58623.2025.11254465
Peer Reviewed
Bereich Forschung und Transfer (BFT)
Hochschule Ansbach
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