Focus and Scope

The International Journal of Data, Risk, and Research (IJDRR) publishes original research articles, review papers, and case studies in data science, risk management, and actuarial science, with an emphasis on interdisciplinary and applied research.

Focus:

Innovative methodologies
Practical insights and real-world applications
Bridging theory and interdisciplinary approaches

Key Areas:

Data Science and Analytics
- Machine learning, deep learning, and AI
- Big data analytics, predictive and prescriptive analytics
- Data visualization and large-scale data processing
Risk and Actuarial Science
- Quantitative risk modeling and risk measures (VaR, CVaR, Expected Loss)
- Financial and non-financial risk management (credit, market, operational, liquidity)
- Scenario analysis and simulation
- Actuarial mathematics, life and non-life insurance, mortality and morbidity modeling
- Premium calculation, reserving, and enterprise risk management (ERM)
Applied and Interdisciplinary Technologies
- Algorithms, scientific computing, and software engineering for analytics
- Decision support systems and agent intelligence
- Cloud and distributed computing, data security, and privacy
- Statistics, mathematical modeling, applied mathematics
- Bioinformatics, computer science, engineering, and technology
- FinTech and InsurTech