Visual Analytics and Knowledge Fusion in Multidisciplinary Scientific Discovery

Pak Chung Wong

We discuss how we use visual analytics as a collaborative means to bring multidisciplinary expertise together and fuse cross-cutting knowledge into one scientific discovery environment. The discussion draws on our R&D experience in applying visual analytics to model and predict the impact of global climate change on the U.S. power grids and its wider implications on society and its critical infrastructure at the Pacific Northwest National Laboratory. The presentation focuses on the technical challenges and lessons learned from the collaboration that involves scientists from physical, social, and computation sciences.

Pak Chung Wong is a project manager and chief scientist in information analytics at the Pacific Northwest National Laboratory (PNNL). His research background is in visualization and visual analytics with focuses on extreme scale data analytics, graph analytics, multimedia analytics, and national security analytics. Currently, he serves on the IEEE Computer Graphics and Applications (CG&A) editorial board. In 2012, he will co-chair the IEEE VisWeek Conference in Seattle, WA and the SPIE Visual Data Analysis (VDA) Conference in San Francisco, CA. In the past, he has served as a conference chair, program chair, and papers chair at visualization conferences from IEEE Visualization (Vis), IEEE Information Visualization Conference (InfoVis), and IEEE Symposium on Visual Analytics Science and Technology (VAST). He received a PhD in computer science from the University of New Hampshire in 1997.