News Details

VACCINE Presents at VAST 2011 Conference

August 18, 2011


VACCINE faculty and researchers will present a total number of 11 papers at the IEEE Conference on Visual Analytics Science and Technology to be held in Providence, RI, in October, 2011.  Presentations will be given by faculty representing four partner institutions from VACCINE—Georgia Institute of Technology, Pennsylvania State University, Purdue University and the University of North Carolina-Charlotte.  The titles and authors of the presentations are listed below:

Georgia Institute of Technology

Kang, Y., Stasko, J. Characterizing the Intelligence Analysis Process: Informing Visual Analytics Design Through a Longitudinal Field Study.

Liu, Z., Navathe, S., Stasko, J.  Network-based Visual Analysis of Tabular Data.

Pennsylvania State University

MacEachren, A., Jaiswal,  A., Robinson, A., Pezanowski, S., Savelyev, A., Mitra, P., Zhang, X., Blanford, J.   SensePlace2:  GeoTwitter Analytics Support for Situational Awareness.

Purdue University

Afzal, S., Maciejewski, R., Ebert, D.S.  Visual Analytics Decision Support Environment for Epidemic Modeling and Response Evaluation.

Malik, A., Maciejewski, R., Maule, B., Ebert, D.S.  A Visual Analytics Process for Maritime Resource Allocation and Risk Assessment.

Simon Fraser University, Canada

Kwon, B., Fisher, B., Yi, J.  Visual Analytic Roadblocks for Novice Investigators.

University of North Carolina—Charlotte

Chen, Y.,  Alsakrang, J.,  Barlowe, S., Yang, J.,  Zhao, Y.  Supporting Effective Common Ground Construction in Asynchronous Collaborative Visual Analytics.

 Ziemkiewicz, C., Chang, R., Yauilla, R., Ribarsky, W.  How Locus of Control Influences Compatibility with Visualization Style.

Dou, W.,  Chang, R.,  Wang, X., Ribarsky, W.  Parallel Topics:  A Probabilistic Approach to Exploring Document Collections.

Wang, X.,  Bier, E.,  Butkiewicz, T., Dou, W., Ribarsky, W.  A Two-Stage Framework for Designing Visual Analytics System in Organizational Environments.

Virginia Tech

Endert, A., Han, C., Maiti, D., House, L., Leman, S., North, C. Observation-level Interaction with Statistical Models for Visual Analytics.

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