Prof. Dr. Jürgen Jung

Es werden keine konkreten Themen angeboten, sondern Themenbereiche, innerhalb derer Studierende ihr persönliches Thema für die Abschlussarbeit definieren können:

Digitale Transformation für KMU mit generativer KI

• Generieren konzeptueller Modelle mit KI
• Transformation oder Analyse konzeptueller Modelle mit KI
• Entscheidungsunterstützung mit KI für eine Transformation
• Herausforderungen einer Digitalen Transformation für KMU
• Methoden und Frameworks für ein Digitale Transformation in KMU
• Einsatzbereiche für KI in KMU (agentic AI, generative AI, RAG, ...)
• Planung und Umsetzung einer Transformation in KMU
• ...

Mobile and Home Evacuee Assistance System

• localisation of people after a disaster using AI
• privacy preserving localisation and warning systems
• architecture of a disaster response and evacuee support system
• legal frameworks affecting the design of a disaster response and evacuee support system
• existing disaster response and evacuee support systems
• federated machine learning approaches for disaster response and evacuee support
• ...

Masterarbeiten in diesem Themenbereich können in Zusammenarbeit mit einer Partnerhochschule bearbeitet werden, bspw. Sojo University in Japan oder Otago Polytechnic in New Zealand

Einige Themen im Masterstudiengang Wirtschaftsinformatik sind für viele Studierenden eher schwer zugänglich, da Ihnen die persönliche Erfahrung fehlt. Das Managen einer Unternehmensweiten Veränderung erfordert bspw. Soft-Skills, aber deren Relevanz ist für Studierende schwer  achvollziehbar. Auch das Verändern größerer Anwendungslandschaften in einem Unternehmen (mit mehr als 1000 IT-Systemen) ist außerhalb der Erfahrungswelt der meisten Studierenden. Aus diesem Grund werden Lehrveranstaltungen mit aktiven Elementen, wie Fallstudienarbeit, Präsentationen, Rollenspiele, Simulationsspiele oder Erfahrungsworkshops, angereichert. Dabei wird weitgehend auf das Format der klassischen Vorlesung verzichtet.

Objective

The project establishes a transnational research collaboration (NZ, Japan, Australia, Germany) to co-design a Mobile and Home Evacuee Assistance System (MHEAS). It will explore ethical, culturally grounded artificial intelligence (AI) approaches to improve disaster response through decentralised, privacy-preserving technologies. We will work closely with M ori disaster recovery professionals like Keri Ropiha, who bring first-hand experience supporting isolated communities during Cyclone Gabrielle and academic research on M ori disaster preparedness, ensuring authentic M ori perspectives, community access, and cultural safety are central to the co-design process. We will also partner with municipal stakeholders in Japan and explore collaboration with local government agencies and iwi organisations to ensure meaningful community co-design and local relevance.

Team

• Dr Farhad Mehdipour, Otago Polytechnic, NZ
• Dr Raj Prasanna, Massey University, NZ
• Dr Karaitiana Taiuru, NZ
• Keri Ropiha, NZ 
• Dr Aniket Mahanti, Auckland University
• Dr Megan Boston, Waikato, NZ
• Dr Naz Tavasoli, Auckland Council, NZ
• Prof Ari Aharari, Sojo University, JP
• Prof Kazuaki Murakami, DX Partners, JP
• Prof Bahman Javadi, Western Sydney University, AU
• Prof Jürgen Jung, Frankfurt UAS, DE

Eine Übersicht über aktuelle Publikationen findet man unter: EAM Lab

RIDI Workshop Series

Research for Impact in Digital Innovation

Since 2023, the workshop series is a collaboration between the HU University of Applied Sciences (Utrecht, The Netherlands), Frankfurt University of Applied Sciences (Germany), HAN UAS (Arnhem, The Netherlands), and TU Wien (Austria) in order to foster exchange on impact of digital innovation: its nature, evaluation, stimulation, and through examples of projects and activities connecting practice, research, and education.

Topics like Digital Transformation and Business Model Innovation are currently driving initiatives in industry; not only to introduce new technologies but also to gain significant business benefits. Hence, technology is not just seen as a means on its own but as one factor among others. Each digitally innovative project needs to incorporate the context of an organisation (market, customer segments, etc.) as well as its organisation and staff members. Challenges during such an endeavour are manifold. As a result, there is an increased need in practice for more explicit guidance in terms of lessons learned, methods, approaches, principles, and design concepts.

Developing, such explicit guidance through conceptualizing and operationalizing entails a need for demand-driven research and education, requiring synergies between applied research and practice. It also sparks a need for research methods that strike an effective balance between real-world needs and contexts, with appropriate scientific rigour.

In line with this, the workshop aims to provide a platform for individuals contributing to the development of explicit guidance for digital innovation by using research methods. This specifically includes practitioners and researchers within the context of technical and applied sciences. The platform fosters exchange by discussing success stories and experiences from the field together with methodological approaches. It, furthermore, aims to provide a base to shape a research agenda, together with corresponding methods, to enable research in practice.