About
Aims & Scope
The aims of the journal, its subject coverage, and the types of article considered for publication.
Aims
AI Data Science and Intelligent Systems publishes research on the theory, methods and applications of artificial intelligence and data science. The journal considers foundational advances in learning and reasoning alongside rigorous empirical studies and well-evaluated applications, with particular attention to reproducibility, transparency and responsible use. All submissions undergo double-blind peer review, and accepted articles are published open access.
Theory, methods and applications of artificial intelligence, data science and intelligent systems.
Scope
The journal publishes research across the following areas, and welcomes work that connects them.
- 01Machine learning theory and algorithms
- 02Deep learning and representation learning
- 03Natural language processing and language models
- 04Computer vision and multimodal learning
- 05Data mining, big data analytics and data engineering
- 06Statistical learning and probabilistic modelling
- 07Knowledge representation, reasoning and knowledge graphs
- 08Reinforcement learning and autonomous agents
- 09Decision support, optimisation and operations research
- 10Explainable, fair and responsible artificial intelligence
- 11Applied AI in health, finance, education and the sciences
- 12Human–AI interaction and collaboration
Research domains
Each submission is classified under one of the journal’s 13 research domains, which also guide the selection of editors and reviewers.
- Machine Learning Theory & Algorithms
- Deep Learning
- Natural Language Processing
- Computer Vision & Multimodal Learning
- Data Mining & Big Data Analytics
- Data Engineering & Data Management
- Statistical Learning
- Knowledge Representation & Reasoning
- Reinforcement Learning & Autonomous Agents
- Decision Support & Optimisation
- Explainable, Fair & Responsible AI
- Applied Artificial Intelligence
- Human–AI Interaction
Article types
The journal considers 5 types of contribution:
- Research Article
- Review Article
- Short Paper
- Case Study
- Letter to the Editor
Criteria for publication
Reviewers assess every manuscript against the journal’s 10 published criteria:
- Originality and novelty
- Significance and impact
- Technical soundness
- Methodology and experimental design
- Literature review and referencing
- Clarity, structure and language
- Quality of figures and tables
- Statistical and analytical validity
- Conclusions supported by results
- Relevance to the journal's scope