VISUALIZATION

The main focus of our research is the development of computational solutions at the intersection of Visualization (VIS) and Artificial Intelligence (AI) in the context of Public Health Research. We develop approaches that leverage visualization techniques to explain, explore, and improve the understanding of the inner workings of AI models as well as data analytics techniques. With the dual goal of increasing the ability of users to better understand and control the models or the data, we are also investigating ways to mitigate or solve problems that arise when visualizing data, such as uncertainty, accessibility, bias in rendered visualizations.

Also known as: Visualization Group

Primary location: Berlin Germany