This paper is a call to action for research and discussion on data visualization education. As
visualization evolves and spreads through our professional and personal lives, we need to …

The use of a visual analytical system in machine learning is the basis for the integration of
human and the use of his intellectual capabilities in the construction of models. At the same …

We examine input visualizations, visual representations that are designed to collect (and
represent) new data rather than encode preexisting datasets. Information visualization is …

Clinical researchers use disease progression models to understand patient status and
characterize progression patterns from longitudinal health records. One approach for …

The last decade has witnessed many visual analytics (VA) systems that make successful
applications to wide-ranging domains like urban analytics and explainable AI. However …

Program developers spend significant time on optimizing and tuning programs. During this
iterative process, they apply optimizations, analyze the resulting code, and modify the …

Investigative journalists and public defenders conduct the essential work of examining,
reporting, and arguing critical cases around police use-of-force and misconduct. In an ideal …

Problem-driven visualization work is rooted in deeply understanding the data, actors,
processes, and workflows of a target domain. However, an individual's personality traits and …

A classical symphony orchestra consists of up to 29 musical instruments manufactured from
up to 758 distinct natural materials. The interrelationships between the extraction of raw …

The Luxembourg Time Machine (LuxTIME) is an interdisciplinary project that studies the
historical exposome during the industrialization of the Minett region, located in the south of …