Thematic concerns of the EuADS are the mathematical foundations of data science and the computational and statistical methods of data analysis, the processing of statistical or conceptual information, and the construction of data bases and information (retrieval) systems with the goal of discovering useful information and extracting generalizable knowledge from data. It focuses on topics such as structural and quantitative approaches for the analysis of data; advances in analytics, classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining “big” data or large data sets; methods for the extraction of knowledge from numerical or textual, structured and semi-structured data, and applications of advanced methods to specific domains of practice. The Association’s work supports advances in theory and methodology on one hand, while making new domain-specific knowledge available from data through the skilful use of data analysis methods, on the other hand.