We are a team of visualization researchers at the University of Utah. Our interests include the process of designing and developing visualizations, visualization for biology, visualization frameworks, and, more generally, visualization of big, heterogeneous, and complex datasets.
19 Oct 2018One Keynote, Four Papers, and Two Posters at VIS
VDL members are contributing in various ways to VIS in Berlin this year:
- Miriah Meyer will give a keynote in the Visualization for the Digital Humanities Workshop (Sunday, 9am).
- Carolina Nobre will present the Lineage paper on visualizing genealogical data, in the Tuesday 4:20pm InfoVis session.
- Carolina Nobre will also present the Juniper paper on multivariate network visualization in the Wednesday 11:00am InfoVis session.
- Jen Rogers will present the Composer poster, on patient cohort and outcome visualization, in the Wednesday 5:20pm poster session.
- Alex Bigelow will present a poster on Origraph, a graph wrangling tool, in the Wednesday 5:20pm poster session.
- Ethan Kerzner will present the Creative Visualization-Opportunities Workshops paper in the Thursday 11:00am InfoVis session.
- Nina McCurdy will present the paper on externalizing implicit error in the Friday 9:00am InfoVis session.
Together with other SCI and SoC members we’ll also host the Utah Party on Tuesday Night!
7 Oct 2018VDL Indoor Air Quality Research Featured in The Salt Lake Tribune
If you could see how chores impact your home’s air quality, you might do them differently! This piece is based on new research by VDL members Jimmy Moore, Pascal Goffin, Miriah Meyer, and the School of Computing’s Jason Wiese to help local families see the unseen with indoor air quality senors. The one article your child doesn’t want you to read!
This work appears in the September issue of Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) and will be presented at UbiComp2018 in Singapore.
10 Sep 2018VDL Receives NSF Award to Develop Multivariate Network Visualization Platform
Miriah Meyer and Alexander Lex, in collaboration with teams from Kitware, the University of Idaho, Knowedge Vis, Duke University, and the Carnegie Institution of Science, have received an award from NSF’s Office of Advanced Cyberinfrastructure to develop a web-based reproducible visual analysis platform for multivariate networks. We’re very excited about this project and about the prospect of working with this amazing team!
9 Sep 2018Welcome to new PhD students
We welcome three new PhD Students to our Group.