Announcements

Call for Papers – International Journal of Intelligent Systems and Data Science (IJISDS)

The International Journal of Intelligent Systems and Data Science (IJISDS) invites submissions for its inaugural issues from researchers and practitioners working across data science, intelligent information systems, analytics, and data-driven computing.

IJISDS welcomes original research articles, comprehensive review papers, case studies, and applied or practice-oriented studies that present substantive contributions to theory, methodology, systems, or real-world implementation. Submissions may include, but are not limited to:

Novel methods, frameworks, or systems for data science, analytics, and intelligent information systems
Methodological advances in statistical learning, predictive modeling, data mining, and knowledge discovery
Research on decision support systems, recommender systems, expert systems, and information systems
Empirical studies supported by rigorous experimentation, observational data, or real-world datasets
Applied machine learning research addressing practical analytical or decision-making challenges
Research on cloud computing, distributed computing, edge computing, big data technologies, and system optimization
Internet of Things (IoT), cyber-physical systems, and data-intensive computing applications
Research addressing data governance, data privacy, explainable analytics, and responsible data-driven systems
Applied studies demonstrating the deployment, evaluation, or impact of data-driven systems in practical settings
Interdisciplinary work where data, analytics, or computational systems play a central analytical or decision-support role
Critical reviews, systematic reviews, and meta-analyses that synthesize and evaluate developments within the journal's scope

The journal encourages submissions that emphasize technical soundness, methodological clarity, reproducibility, and real-world relevance, while clearly articulating their contribution to existing knowledge, systems, or practice.

Contributions from both academic and industry contexts are welcome, provided they meet scholarly standards and offer verifiable insights.

Submission Status: Open
Review Model: Double-blind peer review
Publication Model: Open Access