Faculty Candidate Seminar|
Declarative Interaction Design for Data Visualization
Tuesday, March 07, 2017|
2:30pm - 3:30pm
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About the Event
Interactive visualization is an increasingly popular medium for analysis and communication as it allows readers to engage data in dialogue. Hypotheses can be rapidly generated and evaluated in situ, facilitating an accretive construction of knowledge and serendipitous discovery. Yet, existing models of visualization relegate interaction to a second-class citizen: imperative event handling callbacks that are difficult to specify, and even harder to reason about.
Arvind Satyanarayan is a Computer Science PhD candidate at Stanford University, working with Jeffrey Heer and the University of Washington Interactive Data Lab. Arvind's research develops new declarative languages for interactive visualization, and leverages them in new systems for visualization design and data analysis. His work has been recognized with a Google PhD Fellowship, Best Paper Awards at IEEE InfoVis & ACM CHI, and has been deployed on Wikipedia to enable interactive visualizations within articles.
Open to: Public