In creating visualization for the general public, we have concerns relating to visual representations and data provenance, trust, and truth. We briefly outline the context of our work, describe our concerns and their relation to philosophy.

In this position paper, we discuss our prior and current work on data science work practices and how these might be supported by ubiquitous analytics tools. We argue collaborative tools might reduce risks of false conclusions based on ill-conceived understandings of data sets.

Visualization systems with multiple views are often used to represent data from different perspectives. There are many advantages in doing so, such as providing a way for users to understand a dataset by revealing its various attributes in separate views and offering additional information that could be more useful than if it was just one graph.

In visualization, “multiple views” refers to showing more than one visualization in the same system. We introduce the notion of toolbox views through examples from the literature, as well as our own prior work.

For this demo, we will show two interactive visualizations: Energy Futures and Pipeline Incidents. We de-signed and developed these visualizations as part of an open data initiative that aims to create interactive data visualizations to help make Canada’s energy data publicly accessible, transparent, and understandable.

While mobile visualization is not a new concept, there is not yet much dialogue about what specifically might make this mobile visualization unique. To help trigger innovative ideas and to begin an exploration of what might be possible in mobile visualization, we propose an exploratory ideation process.

Evaluation is increasingly recognized as an essential component of visualization research. However, evaluation itself is a changing research area. In particular, the many variations of qualitative research are emerging as important empirical methods. This half-day tutorial is designed for beginning to intermediate audiences.

Evaluation is increasingly recognized as an essential component of HCI research. However, evaluation itself is a changing research area. In particular, the many variations of qualitative research are emerging as important empirical methods. This half-day tutorial is designed for beginning to intermediate audiences.