about bio students vita

The mission of my research lab is to enhance people's ability
to understand and communicate data through the design of
new interactive systems for data visualization and analysis.

We study the perceptual, cognitive, and social factors
affecting data analysis in order to empower a diverse range
of people to more effectively work with data.

latest + greatest

Vega: declarative languages for interactive data visualization.

Papers: TVCG'17, TVCG'16, UIST'14
Software: Vega, Vega-Lite

Interactive visualization tools for exploratory analysis and design, powered by Vega and Vega-Lite.

Papers: CHI'17, CHI'17, TVCG'16
Projects: Voyager, Lyra, GraphScape

Reverse-engineering visualizations using computer vision techniques to automatically interpret chart images.

Papers: EuroVis'17, UIST'11
Software: REV

Scalable visualization: systems and experiments for low-latency interaction with massive data sets.

Papers: CHI'19, TVCG'14, EuroVis'13
Software: Falcon

A few years ago I presented A Brief History of Data Visualization at the Stanford HCI seminar. You can find a number of other talks online if you stalk me on YouTube.

… and a bunch of other stuff

Data-Driven Documents (D3) for web-based visualization. D3 builds upon our earlier Protovis language.

Papers: TVCG'11, TVCG'09
Software: D3.js

Data wrangling tools for scalable, interactive data transformation. Now commercialized as Trifacta.

Papers: CIDR'15, AVI'12, UIST'11, CHI'10
Software: Trifacta Wrangler

Adaptive language translation tools that interleave human & machine translation. Now developed by Lilt.

Papers: CACM'15, UIST'14, CHI'13
Software: Lilt.com

Text analysis & visualization for large-scale text mining, model assessment, and interactive machine learning.

Papers: NAACL'15, CSCW'15, Poetics'13, ICML'13, JAMIA'13, AVI'12, CHI'12

Graphical perception studies to inform more effective visualization design.

Papers: CHI'17, TVCG'16, TVCG'14, EuroVis'13, TVCG'10, CHI'10, CHI'09

Social data analysis via collaborative, interactive visualizations on the web.

Papers: CHI'11, CHI'07, VAST'07
Video: CommentSpace, Sense.us

Visit the UW Interactive Data Lab for more! >>

jeffrey michael heer

Teaching

about bio students vita

latest + greatest

… and a bunch of other stuff