ICAISE 2021 : The 3rd International Conference on Advanced Information Systems and Engineering

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