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

The 3rd International Conference on Advanced Information Systems and Engineering (ICAISE 2021) will be held in Beijing, China during May 28-30, 2021.

Advanced information systems and engineering blends math, business with computer science, systems engineering and architecture. Technologies such as IoT, big data analytics, artificial intelligence, machine learning, as well as blockchain technology may be flexible enough for digital transformation and high velocity decision-making, they also pose new challenges for designing information systems that consider privacy, security, ethical concerns, etc.

Information systems engineering concerns dealing with information systems in the broad sense, i.e. dealing with both the business aspects and the technical aspects, and doing so from the first idea through to disposal i.e. throughout the complete information systems life -cycle. It is important to understand that it is almost always the case in information systems development that there is an existing system that needs to be replaced, completely or partially, or there are existing systems that the newly developed system needs to interact with. Perhaps it is more correct to say that information systems development is always a question of adapting, changing or replacing existing systems and business structures. In that sense all information systems development may be thought of as maintenance

The ICAISE conference will continue its tradition as the platform for innovative and rigorous research across the spectrum of Information Systems Engineering. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers on-line and additionally during the program board meeting.

Contributions are welcome in terms of models, methods, techniques, architecture and technologies. Each contribution should explicitly address the engineering or the operation of information systems. Each contribution should clearly identify the information systems problem addressed as well as the expected positive impact of the contribution to information system engineering or operation. We strongly advise authors to clearly emphasize those aspects in their paper, including the abstract.

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

▪ 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

▪ 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
        - 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

▪ Domain Specific and multi-aspect IS Engineering
        - IT governance
        - eGovernment
        - 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
        - Security and safety management
        - Dark data processing