A service of the SEMVAST Project
Managed by HCIL, University of Maryland
Benchmark Details

Provenance: VAST Challenge 2011
Title: MC1 - Characterization of an Epidemic Spread


A major epidemic has started in the city of Vastopolis. The task is to analyze the data and determine how the epidemic is being spread and whether or not it is contained. The origin of the epidemic must also be identified.

Read More from PDF copy of the original task description of all 2011 Challenges
Dataset available at:
Click Here
Click Here
Georges Grinstein, University of Massachusetts Lowell
Kristin Cook, Pacific Northwest National Laboratory
Paul Havig, Air Force Research Laboratory
Kristen Liggett, Air Force Research Laboratory
Bohdan Nebesh, Department of Defense
Mark Whiting, Pacific Northwest National Laboratory
Kirsten Whitley, Department of Defense
Shawn Konecni, University of Massachusetts Lowell

Total uses: 30
Used by:
Arrick Analytics Research
Bangor University
Award: Outstanding Analysis Using Custom Tools
Cognizant BFS Innovation
Energy Dynamics Laboratory
Fraunhofer IAIS
IBM Research
Lic. Andrés Juárez
Award: Outstanding Integration of Computational and Visual Methods
Middlesex University and University of Leeds
Old Dominion University
PRISMAVisualization Team
Pennsylvania State University
Purdue University
Award: Novel Extension of Visual Analytics to Mobile Devices
UBA - Map-Time Surfer
UBA - María Lucila Santos
UBA - Python
UBA - Ramiro Lucero
UBA - Vanina Beraudo
UNC Charlotte
University of Konstanz
University of Maryland
VIS Stuttgart
Award: Unique Integration of Tag Clouds In Geospatial Visualizations
Award: Informative Use of Statistics and Evidence in Debrief
giCentre, City University London

Web Accessibility