ACM Webinar: Visual Data Analysis: Why? When? How?

In many situations, complex decisions need to be made by people working with computers. Why does visual analysis help with those decisions? When should people be involved and when can automated approaches make these decisions? How can we build effective visual interfaces for data? This discussion will tackle these issues and related questions.

• Pat Hanrahan, Professor of Computer Science and Electrical Engineering, Stanford University
• Tamara Munzner, Professor of Computer Science, University of British Columbia