Data in many real world applications may arise from multiple sources, and can be viewed from different aspects. It is a significant analytical challenge to extract information from data and help people make right decisions in a timely fashion. To address this challenge, we believe visual analytics and information fusion are two important and interrelated scientific problems. The primary objective of the workshop is to bring together researchers in Computer Science, Mathematics, Statistics, and Visualization, who work on related problems in information fusion and visual analytics. The workshop should provide an opportunity to discuss recent developments and applications of visual analytics and information fusion.