The visualization research community can and should reach broader audiences beyond
data-savvy groups of people, because these audiences could also greatly benefit from …

In recent years we have seen information visualization technology move from an advanced
research topic to mainstream adoption in both commercial and personal use. This move is in …

In recent years many popular data visualizations have emerged that are created largely by
designers whose main area of expertise is not computer science. Designers generate these …

When an organization chooses one course of action over alternatives, this task typically falls
on a decision maker with relevant knowledge, experience, and understanding of context …

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 …

Data science is a rapidly growing discipline and organizations increasingly depend on data
science work. Yet the ambiguity around data science, what it is, and who data scientists are …

Existing evaluations of data visualizations often employ a series of low-level, detailed
questions to be answered or benchmark tasks to be performed. While that methodology can …

Many of the guidelines that inform how designers create data visualizations originate in
studies that unintentionally exclude populations that are most likely to be among the'data …

Data surrounds each and every one of us in our daily lives, ranging from exercise logs, to
archives of our interactions with others on social media, to online resources pertaining to our …

Complex data visualization design projects often entail collaboration between people with
different visualization-related skills. For example, many teams include both designers who …