About the Journal
Journal of Data Science and Artificial Intelligence (JDSAI) is an international, peer-reviewed, open-access scholarly journal dedicated to publishing high-quality research in the rapidly evolving fields of Data Science, Artificial Intelligence (AI), and intelligent computing. The journal serves as a global platform for researchers, academics, industry professionals, and practitioners to disseminate innovative research, emerging technologies, and practical solutions that advance scientific knowledge and address real-world challenges.
JDSAI publishes original research articles, review articles, and technical papers that contribute to the development of intelligent systems and data-driven technologies. The journal encourages interdisciplinary research integrating artificial intelligence with computer science, engineering, mathematics, statistics, healthcare, business, education, agriculture, finance, environmental science, cybersecurity, and other application domains.
Vision
To become a leading international journal that promotes excellence in Data Science and Artificial Intelligence through the publication of high-quality, innovative, and impactful scientific research.
Mission
- Publish original, high-quality, and peer-reviewed scientific research.
- Promote interdisciplinary collaboration in Data Science and Artificial Intelligence.
- Support innovation through the dissemination of advanced computational methods and intelligent technologies.
- Encourage ethical, transparent, and reproducible scientific research.
- Provide unrestricted access to scientific knowledge through an open-access publishing model.
Aims
The journal aims to provide an international forum for the dissemination of theoretical developments, methodological innovations, and practical applications in Data Science and Artificial Intelligence. JDSAI seeks to bridge the gap between academic research and industrial implementation while fostering collaboration among researchers worldwide.
Scope
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative Artificial Intelligence
- Large Language Models (LLMs)
- Data Science
- Big Data Analytics
- Data Mining and Knowledge Discovery
- Computer Vision
- Natural Language Processing (NLP)
- Predictive Analytics
- Business Intelligence
- Explainable Artificial Intelligence (XAI)
- Optimization Algorithms
- Decision Support Systems
- Intelligent Information Systems
- Internet of Things (IoT)
- Cloud Computing
- Edge Intelligence
- Smart Healthcare
- Smart Cities
- Smart Agriculture
- Bioinformatics
- Financial Technology (FinTech)
- Cybersecurity using Artificial Intelligence
- Human-Centered Artificial Intelligence
Publication Policy
Every submitted manuscript undergoes an initial editorial assessment followed by a rigorous double-blind peer-review process conducted by independent experts. Manuscripts are evaluated based on originality, scientific contribution, methodological rigor, technical quality, clarity of presentation, and relevance to the journal's scope.
Open Access
JDSAI is a fully open-access journal. All published articles are freely available immediately upon publication, enabling unrestricted access, wider dissemination of knowledge, and greater global research impact.
Publication Language
To ensure international visibility and accessibility, all manuscripts accepted for publication are published exclusively in English.
Publication Ethics
JDSAI is committed to maintaining the highest standards of publication ethics and integrity. Authors, editors, and reviewers are expected to adhere to internationally recognized ethical principles concerning originality, plagiarism prevention, authorship, data integrity, conflicts of interest, and research transparency.
Target Audience
- Researchers
- Academics
- Graduate Students
- Data Scientists
- Artificial Intelligence Engineers
- Software Developers
- Industry Practitioners
- Government Researchers
- Technology Professionals
