Topics of interest include but are not limited to
- Models, Methods, and Tools
- Conceptual Modelling, Languages and Design
- Business and Value Models
- Business Analysis and Requirements Engineering
- Business Process Modelling, Optimisation and Automation
- Simulation and Digital Twins
- Information Systems Engineering
- Knowledge and Knowledge Technologies
- Machine Learning (ML) and Artificial Intelligence (AI) for Data-driven Systems
- Information Retrieval (IR) and Text Analytics
- Knowledge Graphs, Semantic Web, and Semantic Technologies
- Natural Language Processing (NLP)
- Cognitive Computing and Decision-Support Systems
- Advanced Knowledge Management (knowledge representation, including ontologies and reasoning)
- Engineering Education, including Computational Thinking for STEM
- Approaches for Digitalisation
- Strategies and Frameworks for Digital Transformation
- Security Risk Management and Fraud Detection
- Uncertainty Management
- Agile, Agile at Scale, and DevOps for system development
- Measuring and Assessing Digital Transformation Success
- Intelligent Systems and Applications
- Trustworthy and Human-Centred Computing
- Artificial Agents and Human-Computer Interaction (HCI)
- Privacy in Intelligent Systems
- Generative AI and Large Language Models (LLMs)
- Intelligent Platforms and Infrastructures for Digital Business
- Digitalisation of critical domains (education, healthcare, agriculture, smart cities, e-governance, etc.)
- Data, Data Science, and Computing
- Data Mining, Analytics, and Storage, including Data Architecture
- Big Data, Temporal Data, Geospatial Data Management
- Business Intelligence and Information Visualisation
- Data-Driven Systems
- Computational Modelling and Simulation
- Knowledge-Based Computing
- Emerging Technologies and Innovation
- Blockchain and Distributed Ledger Technologies (DLT) for Business Applications
- Cyber-Physical Systems (CPS) and Internet of Things (IoT)
- Quantum and Post-Quantum Computing for Business Applications
- Augmented, Virtual and Mixed Reality (AR/VR/MR) for Business and Decision Support
- Sustainability, Green IT and Responsible Innovation
- Practice, Ethics, and Case Studies
- Best Practice Reports in Implementing Digital Business and Intelligent Systems
- Digitalisation Challenges in Enterprise Ecosystems
- Responsible AI and Ethical AI
- Privacy, Ethics, Trust and Transparency in Intelligent Systems
- Case Studies in Digital Transformation and Intelligent Systems
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