Welcome to the VACLab

The Visual Analysis and Communication Laboratory (VACLab) conducts research at the intersection of interactive visualization, human-computer interaction, and machine learning. Led by Dr. David Gotz, the VACLab develops new methods of interactive visualization to support more efficient, effective, and intuitive information analysis and communication. The VACLab also studies how these new methods are used within the context of a wide range of domain application areas, both to learn why existing methods work and to discover new opportunities for scientific advancement. Many recent research projects have focused on healthcare and life science applications, though the lab’s research is not limited to these areas.

Student Research Opportunities

The VACLab team includes an inter-disciplinary group of student researchers. The VACLab has hosted students from a variety of majors (including Information Science, Computer Science, Health Informatics and Biostatistics) and levels of training (including undergraduate, Masters and PhD students). Are you intersted in this kind of work? Click here to learn more about student research opportunities.

VACLab News

New Survey of Visual Analytics Methods for Event Sequence Data to Appear in IEEE TVCG

A review of state-of-the-art visual analytics approaches, a formalized design space, and open challenges for future work.

New Work Presented at 2021 AMIA Informatics Summit

Wang et al.’s podium abstract describes an evaluation of medical NLP libraries when applied to patient-reported adverse event …

New Paper to Appear at ACM CHI Examines Analytic Focus During Visual Analysis

Zhou et al. describe and evaluate a new approach to modeling and leveraging a user’s analytic focus during visual analysis tasks.