About the Journal

Focus and Scope

The journal emphasizes applied and theoretical research in statistics and data science, with a strong focus on the development and implementation of new methodologies, algorithms, and models for complex data analysis.
ADA publishes high-quality contributions in the areas of applied mathematics
and statistics, data analysis, machine learning, operational research, decision support
systems, and big data applications across domains like economics, public health,
engineering, and environmental sciences.  We accept submissions of original research in the (but not limit to) the following topics: 
 New models methods and techniques for data analysis; 
 Data science in healthcare, education, services, industry, society (social
problems), environment and other sectors of economic activity; 
 Statistical inference, modeling, estimation and validation; 
 Econometric developments and quantitative methods in economics; 
 Operations Research and Applied Mathematics; 
 Machine Learning and Artificial Intelligence; 
 Decision Support System, Geographic Information Systems and Applied
Informatics; 
 Big Data Analytics, data collection, mining, curation and management; 
 Natural Language Processing, text mining and Sentiment Analysis;
 Advances in Bayesian statistics and applications; 
 Simulation, optimization, and Monte Carlo methods; 
 Data visualization techniques and interactive dashboards; 
 Predictive analytics and forecasting in business and economics; 
 Multivariate data analysis and dimensionality reduction; 
 Integration of data analysis techniques with other technologies.

Publication Frequency

Continuous publications