Information Systems – Computer Science (ISC)
Section Information
Research and development in computing and information systems have been used to modernize digital infrastructure across many sectors. Rapid growth in data, the spread of AI, and the need for privacy and security are creating new demands for systems that stay efficient, reliable, safe, economical, and robust.
The operation and management of such complex systems require a mix of methods and technologies, from databases, networks, and cloud or edge platforms to software engineering, human–computer interaction, and intelligent monitoring. The need to gather information from systems and users is critical to understand service state and to optimize performance, cost, security, and compliance.
The section will publish new contributions, studies, and reviews in computing and information systems, including algorithms and architectures, operating and distributed systems, data and knowledge management, artificial intelligence and machine learning, cybersecurity and privacy, human-centered design, software engineering, cloud and IoT integration, evaluation resources, and applications in areas such as health, energy, finance, education, and cities.
Scope
- Core Computer Science
- Algorithms and data structures
- Theory of computation and formal methods
- Programming languages and compilers
- Operating systems, distributed systems, and concurrency
- Software and Systems Engineering
- Software architecture, testing, and maintenance
- Requirements engineering and model-driven development
- DevOps, CI/CD, and reproducibility practices
- Performance engineering and benchmarking
- Data and Information Management
- Databases and data warehousing
- Information retrieval and recommender systems
- Data mining, knowledge discovery, and data quality
- Knowledge graphs, ontologies, and data integration
- Artificial Intelligence and Machine Learning
- Machine learning and deep learning
- Natural language processing and multimodal systems
- Computer vision and pattern recognition
- Responsible AI, fairness, and evaluation
- Networking, Cloud, and Edge
- Computer networks and protocols
- Cloud, edge, and fog computing
- Internet of Things and cyber-physical systems
- High-performance and parallel computing
- Security, Privacy, and Trust
- Cryptography and access control
- System and network security
- Privacy preservation and differential privacy
- Threat modeling and incident analysis
- Human-Centered and Collaborative Computing
- Human–computer interaction and user experience
- Visualization and visual analytics
- Collaboration systems and socio-technical studies
- Accessibility and inclusive design
- Information Systems Practice and Impact
- Enterprise systems and process mining
- Decision support systems and business analytics
- Blockchain and fintech applications
- Digital transformation and IT strategy
- Applied and Interdisciplinary Studies
- Health and bioinformatics
- Energy informatics and smart cities
- Education technology and learning analytics
- Robotics, autonomous, and embedded AI systems
- Evaluation Resources
- Benchmark datasets and open-source tools
- Reproducible pipelines and baselines
- Surveys, systematic reviews, and meta-analyses
Editorial Board
Click here to see the Section Editorial Board of “Information Systems – Computer Science (ISC)”.