Focus
The group's research is organized into the following key areas, which are reflected in our projects, tools and publications.
Design Studies
How can we turn domain problems into actionable vis tools? Many of our research projects are problem-driven: we collaborate with domain experts with driving data analysis problemsand design novel visual analysis solutions with and for them. Following a human-centered design process, our goal is toprovide our collaborators with more effective and efficient ways of analyzingtheir data. We then engage in abstracting our problem-driven findings into more general insights useful for the visualization and data science communities. In our design studies, we, for instance, collaborated with fisheries managers, automotive engineers, mathematicians, biologists and bioinformaticians, special effects designers, and others.
Parameter space analysis
How can we leverage visualization to better understand computational simulations and models? Building and understanding models with the aid of the computer is the bedrock of modern science, also known as computational science. While one of the challenges in computational science has been the sheer amount of data that becomes available, the more difficult task is often to understand the complexity of interactions between inputs and outputs of such models. Our group is working on better tools to understand these interactions better through visual tools.
Sampling and reconstruction
How do we properly sample continuous data? Studying continuous phenomena using computer requires their discretization. The sampling strategy used impacts the quality and efficiency of the analysis. We study the advantages of different regular sampling patterns in 3D and higher dimensions and compare them to non-uniform sampling and reconstruction strategies. Applications range from rendering applications to experimental design and statistics.
Understanding visualization research
What is Visualization (research)? The field of visualization is a diverse research field. Influenced by mathematical thinking and human-centered design alike, there are different approaches in understanding research contributions, evaluation strategies etc. This has led to a splintering of the field masked by different naming strategies. We try to study the difference to better understand the commonalities and, in the process, map out this beautiful research domain called Visualization.
