The emerging field of visualization is incredibly broad, combining skills and talents from multiple areas of expertise, including computer science, mathematics, statistics and data mining, graphic design, cognitive psychology, and human computer interaction.

In their book, Readings in Information Visualization: Using Vision to Think, Card, Mackinlay and Shneiderman define visualization as “the use of computer-supported, interactive, visual representations of data to amplify cognition.” Though often associated with scientific visualization, it can encompass any discipline interested in tapping into powerful human visual capabilities to analyze data, gain new insights, see the invisible, and facilitate communication.


VisArray is a visualization framework for rendering scientific data. By combining data acquisition and manipulation in front-end modules with flexible back-end rendering modules, our framework has been targeted at a diverse range of projects, from clustering of social network data to visualizing fibrin networks formed during thrombus development. The resulting display can be rendered to traditional displays, 3D hardware, ray traced, embedded in web-portals and, more recently, projected onto the Digital Visualization Theater (DVT) facility at Notre Dame's Jordan Hall of Science.