About This Collection
Rigorous research leveraging complex socio-economic datasets for actionable insights in management, marketing, and public policy.
Empirical, methodological, and applied contributions bridging data science with real-world business and policy challenges.
Topics of Interest
- Data-driven decision-making in management & marketing
- Complex socio-economic data analysis and modeling
- Policy evaluation using large-scale empirical data
- Real-world applications of analytics in business strategy
- AI and machine learning for socio-economic insights
- Behavioral analytics and consumer data applications
Guest Editors
Claudia Tarantola
University of Milan, Department of Economics, Management, and Quantitative Methods
Milan, Italy
Claudia Tarantola is Full Professor of Statistics in the Department of Economics, Management, and Quantitative Methods at the University of Milan. Her research spans Bayesian statistics, clustering techniques, copula modeling, categorical data analysis, graphical models, and statistical approaches to financial risk. She served as Italy's representative on the Management Committee of the COST Action CA19130 FinTech and Artificial Intelligence (2020-2024).
Maria Iannario
University of Naples Federico II
Naples, Italy
Bio forthcoming.