Advancing Interdisciplinary Research with Statistical Insight
The Journal of Emerging Data Intelligence (JEDI) is a peer-reviewed, open-access journal that fosters innovation at the intersection of statistics, data science, and interdisciplinary applications. It provides a platform for high-quality research, methodological advances, and applied studies addressing real-world challenges across diverse fields. Published biannually, all submissions undergo a rigorous double-blind review to ensure originality and quality.
Themes of Interest (not limited to):
- Advances in statistical theory, models, and algorithms
- Computational statistics, experimental design, and inference
- Artificial Intelligence, Machine Learning, and Big Data
- Predictive analytics, decision-support, and visualization
- Health, Medicine, and Public Health
- Education, Psychology, and Social Sciences
- Climate, Environment, and Sustainability
- Business, Economics, and Market Intelligence
- Engineering, Technology, and Smart Systems
Submission Deadline: March 31, 2025
Submission Guidelines:
- Research articles should follow a limits of 4000 words
- Manuscripts must be typed in Times New Roman, 12 pt font
- References should follow APA 7th Edition format
- Authors are encouraged to prepare manuscripts according to the journal’s author guidelines and submit through Email: jedi@vu.edu.pk