Augmented Intelligence: data-driven, human-aware
The Visual Data Analysis Lab (with students at UHasselt and KU Leuven) supports domain experts and lay users to make sense of large and/or complex datasets. Using a visual analytics approach, automated analysis techniques are combined with interactive data visualization to enable reasoning and hypothesis generation.
The methodology is particularly well-fit for the discovery of unexpected phenomena in large and dynamic datasets; it is the best approach for tackling open problems for which no clear solutions seem to exist, and even the questions are unknown. Our focus is on visual design, interactive data visualisation, and topological data analysis.
For consulting services, see BelVis Consulting.