Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and evolution of information systems and organizations could include (but are not limited to):

▪ Models, Methods and Techniques in IS Engineering
- Conceptual modeling, languages and design
- Requirements engineering
- Business process modeling, analysis, and engineering
- Process mining
- Models and methods for evolution and reuse
- Domain and method engineering
- Variability and configuration management
- Compliance and alignment handling
- Active and interactive models
- Quality of IS models for analysis and design

▪ Domain Specific and multi-aspect IS Engineering
- IT governance
- eGovernment
- Cyber security
- Smart City management
- Industrial ecology management
- IS for healthcare
- Educational IS
- Value and supply chain management
- Industry 4.0
- Sustainability and social responsibility management
- Predictive information systems
- Big Data and privacy
- Safety management
- Dark data processing

▪ Novel approaches to IS Engineering
- Context-aware and adaptive systems
- Agile enterprise models and architecture
- Distributed, mobile and open architecture
- IS for collaboration
- Social computing
- Customer analytics
- Secure and trusted systems
- Big data application in IS
- Application of AI in IS
- Data and business analytics
- Use of new visualization techniques in IS
- Service science and innovation

▪ Architectures and Platforms for IS Engineering
- Big Data architectures
- Cloud-based IS engineering
- Service oriented IS engineering
- Multi-agent IS engineering
- Robotic Process Automation
- Multi-platform IS engineering
- Cyber-physical systems
- Big data and the Internet of Things
- Blockchains
- Digital twins
- Workflow and PAIS systems
- Handling of real time data streams
- Content management and semantic Web