- Novel Approaches to IS Engineering
- Artificial Intelligence and Machine Learning
- Robotic Process Automation (RPA)
- Big Data, Data Science and Analytics
- Blockchain applications in IS
- Simulation and Digital Twins
- IS for collaboration and social computing
- Virtual reality / Augmented Reality
- Context-aware, autonomous and adaptive IS
- Models, Methods and Techniques in IS Engineering
- Ontologies and Ontology Engineering
- Conceptual modeling, languages and design
- Requirements engineering
- Process modeling, analysis and improvement
- Process automation, mining and monitoring
- Models and methods for evolution and reuse
- Domain and method engineering
- Product lines, variability and configuration management
- Compliance and alignment handling
- Active and interactive models
- Quality of IS models for analysis and design
- Visualization techniques in IS
- Decision models and business intelligence
- Knowledge graphs
- Human-centered techniques
- Architectures and Platforms for IS Engineering
- Distributed, mobile and open architecture
- Big Data architectures
- Cloud- and edge-based IS engineering
- Service oriented and multi-agent IS engineering
- Multi-platform IS engineering
- Cyber-physical systems and Internet of Things (IoT)
- Workflow and Process Aware Information Systems (PAIS)
- Handling of real time data streams
- Content management and semantic Web
- Crowdsourcing platforms
- Conversational agents (chatbots)
- Microservices design and deployment
- Domain-specific and Multi-aspect IS Engineering
- IT governance
- eGovernment
- Autonomous and smart systems (smart city management, smart vehicles, etc.)
- IS for healthcare
- Educational Systems and Learning Analytics
- Value and supply chain management
- Industry 4.0
- Sustainability and social responsibility management
- Privacy, security, trust, and safety management
- IS in the post-COVID world
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