Konversatorium on Friday, May 19, 2017 - 10:30
Toward Visualization as a Expressive Workspace for Interactively Observing and Interpreting the World
What if we could create and manipulate data directly inside visualizations? How would the visual representation of data affect what we can do to it? How could interaction allow us to express our ideas as evolving data? Building on well-known systems and principles of interactive visualization design, I will offer a glimpse of visualization as an expressive workspace for observing and interpreting the world interactively, and present recent progress on building the foundations of such a workspace.
Chris Weaver is an Associate Professor in the School of Computer Science at the University of Oklahoma. He has a B.S. in Chemistry and Math from Michigan State University, an M.S. and Ph.D. in Computer Science from the University of Wisconsin-Madison, and spent 3 years as a post-doc with the GeoVISTA Center at Penn State University. In 2013 he served as Conference Chair of the IEEE Conference on Information Visualization. His research is supported in part by a 2014 NSF CAREER award and focuses on bringing people, data, and visualization together, with a special interest in supporting scholarship and learning in the humanities.
Approaches to Visual Analytics and Design Considerations
In the era of Big Data, visual analytics becomes an important tool for scientific research, engineering design, and critical decision making. The design of a visual analytics solution must take into account the data characteristics, the media used, the users, the tasks to support,
etc., each of which presents some unique requirements and challenges.
These challenges demands new technical approaches and design considerations. I will discuss them using research results that my group has produced as examples.
Kwan-Liu Ma is a professor of computer science and the chair of the Graduate Group in Computer Science (GGCS) at the University of California-Davis, where he directs VIDI Labs and UC Davis Center of Excellence for Visualization. His research spans the fields of visualization, computer graphics, high-performance computing, and user interface design. Professor Ma received his PhD in computer science from the University of Utah in 1993. During 1993-1999, he was with ICASE/NASA Langley Research Center as a research scientist. He joined UC Davis in 1999. Professor Ma received numerous recognitions for his research contributions such as the NSF Presidential Early-Career Research Award (PECASE) in 2000, the UC Davis College of Engineering's Outstanding Mid-Career Research Faculty Award in 2007, and the 2013 IEEE VGTC Visualization Technical Achievement Award. He was elected an IEEE Fellow in 2012.