Latest News and Events

The SAMSI-FODAVA Workshop on Interactive Visualization and Analysis of Massive Data will be held on December 10-12, 2012.
Posted: October 02, 2012
The FODAVA Annual Meeting will immediately follow (Dec 12-13) the SAMSI/FODAVA joint workshop at the same location.
Posted: September 05, 2012
Many of the modern data sets such as text and image data can be represented in high-dimensional vector spaces and have benefited from computational methods that utilize advanced techniques from num
Posted: June 30, 2012

Mathematical Foundations as a Key Enabler of Agile Human Performance in Visual Analytics Environments

Alan Turner

Mathematical foundations of knowledge are intrinsic to making visual analytics environments possible; in the field of visualization each advance in perceptual and cognitive ability to more challenging and abstract problems has been enabled by advances in mathematical foundations. The new generation of visual analytics systems call for augmenting agile human perception and critical thought about complex information spaces; they will be humanistic, perceptual, and cognitive. These environments will need to express a deep level of knowledge derived from changing content but more importantly be adaptive to the shifting needs and insights of their users. It is the speaker's position that mathematically achieving this level of adaptation will be a key enabler for the next generation of visual analytics systems.

Alan Turner is a U.S. Government research scientist who has been developing visual analytics as a problem solving method and applying it to a wide range of our most challenging problems. Coming originally from the research community, Alan has publications and patents in the field and has been active in venues such as the NVAC to help our community develop this exciting field. While at the Pacific Northwest National Laboratory he helped build a visual analytics team, create new and powerful systems, and articulate a research strategy as part of the "Illuminating the Path" team.