Visualization

The visualization cluster focuses on the development of new methods and techniques to explore and present large data sets. The focus is on data visualization and visual analytics. We study how to provide insight in large, heterogeneous data sets, such as combinations of multivariate data, high dimensional data, sophisticated imaging data, network data, event data, and geospatial data, all often time varying. We investigate how to incorporate methods from statistics and AI to support human analysis, understanding, and decision making. Visual analytics for AI can provide more effective and efficient model development, and more trust and confidence on AI based decisions.
We develop novel approaches that go from fundamental research to application oriented visual designs. We cooperate with specialists from a variety of application domains, including health care, machine learning, bioinformatics, forensics, and fraud detection; both from academia and industry (e.g., Philips).