Screenshot of homepage for EasyPZ: Simple Pan & Zoom JS Library for Mobile & Desktop
Simple Pan & Zoom JS Library for Mobile & Desktop (Schwab, Borkin)
Node-link and motif simplification visualization showing U.S. senator co-voting patterns in 2007
Motif Simplification
Improving network visualization readability with fan, connector, and clique glyphs (Dunne)
Combined screenshots of the VoroGraph visualization tool.
Visualization tools for epidemic analysis (Dunne)
Screenshot of the Massachusetts (Massive) Visualization Dataset homepage
Massachusetts (Massive) Visualization Dataset (Borkin)
Design sketch of the interface described in the paper:
Urban Data Visualization
Tools for analyzing quantitative, qualitative, and historical data for professionals and stakeholders (Dunne)
Visual exploration history display in GraphTrail
Analyzing large multivariate, heterogeneous networks while supporting exploration history (Dunne)
Four images from the visualization evaluation and eye-tracking methodologies work
Visualization evaluation and eye-tracking methodologies
Interface displaying the node overlap and edge crossing angle readability metrics with color coding
Readability metrics
Real-time network readability feedback for aiding node-link visualization designers (Dunne)
An image of the Refugee Scholars Project: Rediscovering the Refugees of the Nazi Era
Refugee Scholars
Rediscovering the Refugees of the Nazi Era (Pandey, Schwab, Borkin)
A screenshot of Picture Penguin running on a phone
Picture Penguin
A Multi-Faceted Mobile Photo Navigation System (Schwab, Pandey, Borkin)
Shadow of Cody Dunne projected on top of a group-in-a-box visualization
Group-in-a-Box Meta-Layouts
Space-efficient network visualizations of topological clusters and attribute-based groups (Dunne)
NodeXL and Social Media Research Foundation logos and several views of the NodeXL interface
A free and open network overview, discovery and exploration add-in for Microsoft Excel (Dunne)

Data Visualization at CCIS

Data visualizations are designed to leverage the impressive human visual bandwidth so that users can spot clusters, gaps, trends, outliers in the data within a fraction of a second. Visualizations, combined with interaction and animation techniques, can help experts interpret and explore complex data as well as gain confidence in their algorithmic results. Moreover, visualizations are highly effective tools for communicating with other analysts or stakeholders. Research on visualization involves understanding human perception and vision, visual encodings, design thinking, color choice, data simplification, interaction techniques, and animation techniques and designing the next generation of data analysis and communication tools. We have several current research opportunities available for PhD, master’s, and bachelor’s students.

Areas of investigation:

  • Perception and cognition
  • Data storytelling
  • Analytic provenance
  • Exploratory data analysis
  • Coordinated views and interactions
  • Tree/hierarchical data
  • Network data
  • Multidimensional data
  • Geospatial data
  • Uncertain, missing, erroneous data
  • Temporal event sequences
  • User interface design
  • Interaction design
  • Evaluation methodologies

Specific domains of interest:

  • Healthcare diagnostic and treatment decision support, including diabetes, neurology, ophthalmology
  • Digital humanities, including networks of concepts in humanities texts, text and timeline visualizations
  • Epidemiology, including the spread of infectious disease
  • Cybersecurity, including unmanned autonomous system analysis
  • Astronomy and physics, including 3D visualization and multidimensional data