The Journal of Emerging Data Intelligence (JEDI) aims to foster scholarly exchange and innovation at the intersection of statistical methodology and interdisciplinary applications. The journal publishes original research, methodological advances, and applied studies that utilize statistical tools and data-driven techniques to address complex problems across diverse fields.

Scope includes, but is not limited to:

• Public Health, Medicine & Life Sciences: Biostatistics, epidemiology, health informatics, predictive models.
• Education & Social Sciences: Learning analytics, psychometrics, digital education data, survey analysis.
• Environmental & Climate Studies: Climate modeling, sustainability analytics, environmental risk assessment.
• Economics & Business: Econometrics, financial modeling, market intelligence, customer analytics.
• Engineering & Technology: Reliability analysis, quality control, IoT and smart systems data.
• Artificial Intelligence & Machine Learning: Statistical learning, big data analytics, AI-driven decision systems.
• Statistical Models & Algorithms: Development, evaluation, and application of novel methods.
• Policy, Ethics & Society: Responsible data use, privacy, governance, and ethical AI applications.
• Interdisciplinary Case Studies: Real-world demonstrations of data intelligence applications.

Aim

To advance the integration of statistical thinking into interdisciplinary research by publishing high-quality, peer-reviewed articles that promote innovative solutions, foster collaboration across disciplines, and contribute to the responsible and ethical use of data in research and practice.