JANOLI International Journal of Data Science

About the Journal

The JANOLI International Journal of Data Science (JIJDS) is a peer-reviewed, open-access publication that publishes articles monthly. It provides a platform for researchers, data scientists, and industry professionals to share innovative findings and advancements in data science. As a globally recognized journal, it covers fundamental theories, cutting-edge methodologies, and real-world applications of data science across various domains. Additionally, the journal plans to publish special issues on emerging topics and challenges in data science.

Multidisciplinary Subjects:

• Predictive Analytics and Statistical Modeling
• Data Wrangling and Visualization Techniques
• Big Data Infrastructure and Cloud Platforms
• Data Ethics and Responsible AI
• Geospatial Data Analysis and Mapping
• Data-Driven Decision Making in Business and Policy
• Health Informatics and Biomedical Data Science
• Social Media Analytics and Sentiment Mining

SCOPE:

• Big Data Analytics
• Machine Learning and AI in Data Science
• Data Mining and Knowledge Discovery
• Predictive and Prescriptive Analytics
• Data Visualization and Interpretation
• Ethical and Responsible AI
• Cloud and Distributed Data Processing
• Real-world Applications of Data Science
• Data Privacy, Security, and Governance
• Interdisciplinary Applications of Data Science
• International Collaboration in Data Science