Data Science, Statistics & Visualisation (DSSV) is a forum to discuss recent progress and emerging ideas in these different disciplines that contribute to data science, statistics, and visualization. The conference welcomes contributions to practical aspects of data science, statistics and visualization, and in particular those which are linking and integrating these subject areas. Presentations should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualization and verbalization of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes. We encourage informal contacts and discussions among all the participants.
The European Conference on Data Analysis (ECDA) provides a forum for scientific exchange in the realm of data science, whereby theory and application are of equal interest. The conference offers scientists and practitioners the opportunity to present their research questions and latest results and to discuss them with a qualified expert audience. Among the special characteristics of the conference is its strong emphasis on interdisciplinarity: in addition to participants with a rather theoretical focus, especially from mathematics, statistics, and computer science, the conference is also visited by a wide circle of users of statistical and data-analytical methods, for example from econometrics, marketing, bioinformatics, or psychology.