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JEFFREY MICHAEL HEER

Jerre D. Noe Endowed Professor
Computer Science & Engineering
University of Washington

302 Gates Center
University of Washington
Seattle, WA 98195-2355
Fax: +1 206 543 2969
jheer (at) uw.edu


UW Interactive Data Lab
Twitter: @jeffrey_heer
Google Scholar
Semantic Scholar

Admin: Lisa Merlin
Tel: +1 206 543 9958

Office Hours
Tue 11:30-12:30pm


TEACHING

Winter 2024
CSE442 Data Visualization
Spring 2024
CSE512 Data Visualization



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! >>