Opening ISD 2025 

Hans-Georg Fill, University of Fribourg, Switzerland

Title: Lost in Generation: The Hidden Cost of AI and the Power of Conceptual Modeling

Abstract: Generative artificial intelligence has recently emerged as a global phenomenon. It has the capacity to generate texts, images, software, video, and audio content through statements in natural language without the need for technical expertise. However, these advancements come with costs, including increased energy consumption, potential copyright issues, or costs related to potentially false information. Additionally, there is a concern that humans are becoming overwhelmed by the sheer volume of information they are now generating individually, while at the same time experiencing a loss of skills and competencies that are assumingly being absorbed by AI. The field of conceptual modeling has a long tradition in eliciting and structuring knowledge in many domains for supporting human communication, for processing information, and reasoning about it. It is therefore well-suited for dealing with some of the challenges of generative AI. This includes support for AI input, better understanding of AI output, as well as preventing the deskilling of human actors. In this talk we will therefore discuss the past, present, and future of conceptual modeling in times of generative artificial intelligence and its contributions to information systems development.

This panel discussion will explore the dynamic landscape of Artificial Intelligence and its deep impact on the development of information systems. As AI reshapes everything from how we write code to how we make critical business decisions, we reflect on a critical topic:

Is academia keeping pace with industry's pulse?

The discussion will be about equipping future professionals but also on conducting research that aligns with the emerging AI demands in industry. Being a dynamic ecosystem, driven by leading technology companies, cutting-edge academic research, and significant government investments, where are the main sources of AI innovation today? We will also delve into the topic from the perspective of industry trends, and challenges organizations face to identify use cases that create real business value.

The discussion will bring together leading experts from both academic/research institutions and industry to share their perspectives on the current state of AI in IS development, identify key challenges and opportunities, expose the critical gaps and foster a dialogue on a collaborative future and responsible AI.

Jelena Zdravković, Stockholm University, Sweeden

Title: Designing Three Rs of Digital Business Ecosystems: Roles, Responsibilities, and Resilience

Abstract: Digital Business Ecosystem implies several distinctive features including the heterogeneity of involved actors, their interdependence in the exchange of resources, the dynamic nature of their relationships, and the need for self-organization. To successfully design and develop such ecosystems, it is essential to clearly define the business scope, delineate the roles and responsibilities of each participating company, organization and individual, map out their interactions and dependencies, and leverage a range of underlying technologies and diverse data. Furthermore, this process must include an assessment of the ecosystem’s resilience, gauging its ability to achieve its objectives in the face of challenges. This involves identifying and measuring resilience indicators to ensure the ecosystem’s capacity to adapt and thrive under changing conditions.

Organizers: Wilfrid Utz, OMiLAB NPO, Berlin, Germany, Iulia Vaidian, OMiLAB NPO, Berlin, Germany

Title: Enhancing Agility in Business Model Design using Digital Twins: The Scene2Model Approach to Design Thinking

Goal: The tutorial will introduce participants to storyboards as a selected design thinking method. A use case is chosen for the participants to work on during the tutorial. Haptic paper figures (SAP Scenes) are used to develop innovative ideas and build a visual storyboard of the identified challenge and proposed innovative solution/offering. Participants will observe the end-to-end process of a tool-supported transformation from haptic scenes into digital twins of the realized design artifacts. The representation of digital twins as conceptual models from a haptic design is input for a detailed analysis on different levels of abstraction: business, organizational, and technological aspects to be assessed on the design level before experimental validation.

Mirjana Ivanović, University of Novi Sad, Serbia

Title: How Artificial Intelligence Changes Medical Diagnosis, Treatment, and Education

Abstract: In modern dynamic, constantly developing society more and more people suffer from noncommunicable diseases, such as cancer, heart disease, neurodegenerative disease, diabetes, and so on. They are the leading cause of death worldwide and represent an emerging global health threat. Moreover, the population in a lot of countries is getting older and needs additional and special medical and health care. Accordingly, world renowned health stakeholders have recognized the importance of development of wide range of systems/architectures/services that can support diagnoses and treatment decisions for patients, help them in everyday activities and improve their quality of life. For the development of smart and intelligent medical architectures and decision support systems collection of huge amounts of patient’s complex big data is necessary. Such data should be properly curated, aggregated, analyzed and results achieved by AI-based processing of such data are used by the doctors to recommend adequate treatment and actions in order to improve patient’s health status. Contemporary Healthcare and Medical systems are predominantly distributed. Together with intensive use of Machine Learning approaches (ML), Federated Learning (FL) plays an essential role in such systems. Each medical institution might have a lot of patient data, but it can be not enough to train their own local prediction models. Accordingly, the combination of FL and prediction of future patients’ status but also patients’ treatment for achieving satisfactory quality of life parameters is good solutions to break down the barriers of analysis throughout different hospitals. On the other hand, modern AI-based approaches are also employed in the development of systems and environments that can have significant impact on medical and healthcare education, like agents, extended reality, metaverse, and so on. In this talk all the above-mentioned aspects will be considered and some personal experiences in developing such systems will be presented.

Closing ISD 2025