Visualization and visual analytics have become an integral part of data science as data become larger and more complex. With the democratization of data and data analysis, visualization is now used by scientists, domain experts, decision makers, and everyday citizens. Such widespread use of visualization has subsequently increased the challenge of designing visualization and analysis systems that can suit the diverse needs of a wide audience. In this talk, I will present some ongoing research projects at the Visual Analytics Lab at Tufts (VALT) that aim to address the challenge. These projects include our work on Medical Risk Communication in collaboration with the Maine Medical Center, study on individual differences and Bayesian Reasoning, design of database systems for supporting interactive data analysis, and our DARPA-funded project on bringing data analysis to the masses.
Remco Chang is an Associate Professor in the Computer Science Department at Tufts University. He received his BA from Johns Hopkins University in 1997 in Computer Science and Economics, MSc from Brown University in 2000, and PhD in Computer Sciencefrom UNC Charlotte in 2009. Prior to his PhD, he worked for Boeing developing real-time flight tracking and visualization software, followed by a position at UNC Charlotte as a research scientist. His current research interests include visual analytics, information visualization, HCI, and databases. His research has been funded by the NSF, DARPA, DHS, MIT Lincoln Lab, and Draper. He has had best paper, best poster, and honorable mention awards at InfoVis, VAST, CHI, and VDA, and he is currently an associate editor for the ACM TiiS and the Human Computation journals. He received the NSF CAREER Award in 2015.