Screen Shot 2014-11-17 at 11.36.35 AMBeyond Big Data Analytics: Empowering Effective Decision Making Through Visual Analytics
David S. Ebert, Silicon Valley Professor
Electrical and Computer Engineering, Purdue University

Friday, December 5 , 2014
1 p.m.
Brickyard Artisan Court (BYAC) 110, Tempe campus [map]

Abstract
While many researchers and companies are focusing on Big Data Analytics to harness the potential power in available massive, multisource, multivariate, evolving digital data, many of these big data solutions don’t effectively factor the human decision maker into their proposed solution. Instead, David Ebert’s work focuses on empowering the decision maker through interactive visual analytic environments where visual cognition, guided discovery, and non-digital human expertise and experience can be combined with state-of-the-art analytical techniques. Ebert will describe his work in developing new spatial and temporal visual decision making environments. These environments combine novel predictive analytical techniques guided by user-driven exploration and inquiry, as well as explanatory visualizations that enable non-statisticians to understand and trust advanced analytics by tailoring the displays to more effective and easily understood visual representations presented at intuitive temporal and spatial scales. He’ll also demonstrate our user-, task-, and device-adaptive visual analytic systems for risk-based decision making, resource allocation, and predictive policing.


Bio
David Ebert is the Silicon Valley Professor of Electrical and Computer Engineering at Purdue University, a University Faculty Scholar, a Fellow of the IEEE, and director of the Visual Analytics for Command Control and Interoperability Center (VACCINE), the Visualization Science team of the Department of Homeland Security’s Command Control and Interoperability Center of Excellence. Ebert performs research in novel visualization techniques, visual analytics, volume rendering, illustrative visualization, and procedural abstraction of complex, massive data. He has been very active in the visualization community, teaching courses, presenting papers, co-chairing many conference program committees, serving on the ACM SIGGRAPH Executive Committee, serving as Editor in Chief of IEEE Transactions on Visualization and Computer Graphics, serving as a member of the IEEE Computer Society’s Publications Board, serving on the IEEE Computer Society Board of Governors, and successfully managing a large program of external funding to develop more effective methods for visually communicating information.

www.VisualAnalytics-CCI.org

www.purvac.org

www.ece.purdue.edu/~ebertd

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