# jeffrey michael heer
**Source**: https://homes.cs.washington.edu/~jheer/
**Parent**: https://news.cs.washington.edu/
# about [bio](https://homes.cs.washington.edu/~jheer/bio) [students](https://homes.cs.washington.edu/~jheer/students) [vita](https://homes.cs.washington.edu/~jheer/cv)
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| The mission of [my research lab](http://idl.cs.washington.edu "UW Interactive Data 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**](https://vega.github.io/vega/): declarative languages for interactive data visualization. Papers: [TVCG'17](http://idl.cs.washington.edu/papers/vega-lite "Vega-Lite: A Grammar of Interactive Graphics. A Satyanarayan, D Moritz, K Wongsuphasawat, J Heer. IEEE TVCG 2017 (Proc. InfoVis). Best Paper Award."), [TVCG'16](http://idl.cs.washington.edu/papers/reactive-vega-architecture "Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization. A Satyanarayan, R Russell, J Hoffswell, J Heer. IEEE TVCG 2016 (Proc. InfoVis)."), [UIST'14](http://idl.cs.washington.edu/papers/reactive-vega "Declarative Interaction Design for Data Visualization. A Satyanarayan, K Wongsuphasawat, J Heer. ACM UIST 2014.") Software: [Vega](https://vega.github.io/vega), [Vega-Lite](https://vega.github.io/vega-lite) **Interactive visualization tools** for exploratory analysis and design, powered by Vega and Vega-Lite. Papers: [CHI'17](http://idl.cs.washington.edu/papers/voyager2 "Voyager 2: Augmenting Visual Analysis with Partial View Specifications. K Wongsuphasawat, Z Qu, D Moritz, R Chang, F Ouk, A Anand, J Mackinlay, B Howe, J Heer. ACM CHI 2017"), [CHI'17](http://idl.cs.washington.edu/papers/graphscape "GraphScape: A Model for Automated Reasoning about Visualization Similarity and Sequencing. Y Kim, K Wongsuphasawat, J Hullman, J Heer. ACM CHI 2017."), [TVCG'16](http://idl.cs.washington.edu/papers/voyager "Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations. K Wongsuphasawat, D Moritz, A Anand, J Mackinlay, B Howe, J Heer. IEEE TVCG 2016 (Proc. InfoVis).") Projects: [Voyager](https://vega.github.io/voyager), [Lyra](http://idl.cs.washington.edu/papers/lyra), [GraphScape](http://idl.cs.washington.edu/papers/graphscape) **Reverse-engineering visualizations** using computer vision techniques to automatically interpret chart images. Papers: [EuroVis'17](http://idl.cs.washington.edu/papers/reverse-engineering-vis "Reverse-Engineering Visualizations: Recovering Visual Encodings from Chart Images. J Poco, J Heer. EuroVis 2017."), [UIST'11](http://idl.cs.washington.edu/papers/revision "ReVision: Automated Classification, Analysis and Redesign of Chart Images. M Savva, N Kong, A Chhajta, L Fei-Fei, M Agrawala, J Heer. ACM UIST 2011.") Software: [REV](https://github.com/uwdata/rev) **Scalable visualization**: systems and experiments for low-latency interaction with massive data sets. Papers: [CHI'19](http://idl.cs.washington.edu/papers/falcon "Falcon: Balancing Interactive Latency and Resolution Sensitivity for Scalable Linked Visualizations. D Moritz, B Howe, J Heer. ACM CHI 2019."), [TVCG'14](http://idl.cs.washington.edu/papers/latency "The Effects of Interactive Latency on Exploratory Visual Analysis. Z Liu, J Heer. IEEE TVCG 2014 (Proc. InfoVis)."), [EuroVis'13](http://idl.cs.washington.edu/papers/immens "imMens: Real-time Visual Querying of Big Data. Z Liu, B Jiang, J. Heer. EuroVis 2013.") Software: [Falcon](https://github.com/uwdata/falcon) A few years ago I presented **[A Brief History of Data Visualization](https://www.youtube.com/watch?v=N00g9Q9stBo)** at the [Stanford HCI seminar](http://hci.stanford.edu/seminar). You can find a number of other talks online if you **[stalk me on YouTube](https://www.youtube.com/results?search_query=jeffrey+heer)**. | … and a bunch of other stuff **[Data-Driven Documents (D3)](http://d3js.org)** for web-based visualization. D3 builds upon our earlier **[Protovis](http://idl.cs.washington.edu/papers/protovis)** language. Papers: [TVCG'11](http://idl.cs.washington.edu/papers/d3 "D3: Data-Driven Documents. M Bostock, V Ogievetsky, J Heer. IEEE TVCG 2011 (Proc. InfoVis)."), [TVCG'09](http://idl.cs.washington.edu/papers/protovis "Protovis: A Graphical Toolkit for Visualization. M Bostock, J Heer. IEEE TVCG 2009 (Proc. InfoVis).") Software: [D3.js](https://d3js.org/) **Data wrangling** tools for scalable, interactive data transformation. Now commercialized as **[Trifacta](http://www.trifacta.com)**. Papers: [CIDR'15](http://idl.cs.washington.edu/papers/predictive-interaction "Predictive Interaction for Data Transformation. J Heer, J Hellerstein, S Kandel. CIDR 2015."), [AVI'12](http://idl.cs.washington.edu/papers/profiler "Profiler: Integrated Statistical Analysis and Visualization for Data Quality Assessment. S Kandel, R Parikh, A Paepcke, J Hellerstein, J Heer. AVI 2012."), [UIST'11](http://idl.cs.washington.edu/papers/proactive-wrangling "Proactive Wrangling: Mixed-Initiative End-User Programming of Data Transformation Scripts. P Guo, S Kandel, J Hellerstein, J Heer. ACM UIST 2011."), [CHI'10](http://idl.cs.washington.edu/papers/wrangler "Wrangler: Interactive Visual Specification of Data Transformation Scripts. S Kandel, A Paepcke, J Hellerstein, J Heer. ACM CHI 2010.") Software: [Trifacta Wrangler](https://www.trifacta.com/trifacta-wrangler/) **Adaptive language translation** tools that interleave human & machine translation. Now developed by **[Lilt](https://lilt.com)**. Papers: [CACM'15](http://idl.cs.washington.edu/papers/translation-ai-hci "Natural Language Translation at the Intersection of AI and HCI. S Green, J Heer, CD Manning. CACM 2015."), [UIST'14](http://idl.cs.washington.edu/papers/ptm "Predictive Translation Memory: A Mixed-Initiative System for Human Language Translation. S Green, J Chuang, J Heer, CD Manning. ACM UIST 2014."), [CHI'13](http://idl.cs.washington.edu/papers/post-editing "The Efficacy of Human Post-Editing for Language Translation. S Green, J Heer, CD Manning. ACM CHI 2013. Best Paper Award.") Software: [Lilt.com](https://lilt.com) **Text analysis & visualization** for large-scale text mining, model assessment, and interactive machine learning. Papers: [NAACL'15](http://idl.cs.washington.edu/papers/topic-check "TopicCheck: Interactive Alignment for Assessing Topic Model Stability. J Chuang, ME Roberts, BM Stewart, R Weiss, D Tingley, J Grimmer, J Heer. NAACL-HLT, 2015."), [CSCW'15](http://idl.cs.washington.edu/papers/forum77 "Forum77: An Analysis of an Online Health Forum Dedicated to Addiction Recovery. D MacLean, S Gupta, A Lembke, CD Manning, J Heer. ACM CSCW 2015. Best Paper Honorable Mention."), [Poetics'13](http://idl.cs.washington.edu/papers/topic-models-language-usage "Differentiating Language Usage through Topic Models. DA McFarland, D Ramage, J Chuang, J Heer, CD Manning. Poetics 2013."), [ICML'13](http://idl.cs.washington.edu/papers/topic-model-diagnostics "Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment. J Chuang, S Gupta, CD Manning, J Heer. ICML 2013."), [JAMIA'13](http://idl.cs.washington.edu/papers/adept "Identifying Medical Terms in Patient-Authored Text: A Crowdsourcing-based Approach. D MacLean, J Heer. JAMIA 2013."), [AVI'12](http://idl.cs.washington.edu/papers/termite "Termite: Visualization Techniques for Assessing Textual Topic Models. J Chuang, CD Manning, J Heer. AVI 2012."), [CHI'12](http://idl.cs.washington.edu/papers/designing-model-driven-vis "Interpretation and Trust: Designing Model-Driven Visualizations for Text Analysis. J Chuang, D Ramage, CD Manning, J Heer. ACM CHI 2012.") **Graphical perception** studies to inform more effective visualization design. Papers: [CHI'17](http://idl.cs.washington.edu/papers/regression-by-eye "Regression by Eye: Estimating Trends in Bivariate Visualizations. M Correll, J Heer. ACM CHI 2017."), [TVCG'16](http://idl.cs.washington.edu/papers/beyond-webers-law "Beyond Weber's Law: A Second Look at Ranking Visualizations of Correlation. M Kay, J Heer. IEEE TVCG 2016 (Proc. InfoVis). Best Paper Honorable Mention."), [TVCG'14](http://idl.cs.washington.edu/papers/perceptual-kernels "Learning Perceptual Kernels for Visualization Design. Ç Demiralp, M Bernstein, J Heer. IEEE TVCG 2014."), [EuroVis'13](http://idl.cs.washington.edu/papers/semantically-resonant-colors "Selecting Semantically-Resonant Colors for Data Visualization. S Lin, J Fortuna, C Kulkarni, M Stone, J Heer. EuroVis 2013. Best Paper Award."), [TVCG'10](http://idl.cs.washington.edu/papers/perception-treemaps "Perceptual Guidelines for Creating Rectangular Treemaps. N Kong, J Heer, M Agrawala. IEEE TVCG 2010 (Proc. InfoVis). Best Paper Nominee."), [CHI'10](http://idl.cs.washington.edu/papers/crowdsourcing-graphical-perception "Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design. J Heer, M Bostock. ACM CHI 2010. Best Paper Nominee."), [CHI'09](http://idl.cs.washington.edu/papers/horizon "Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations. J Heer, N Kong, M Agrawala. ACM CHI 2009. Best Paper Award.") **Social data analysis** via collaborative, interactive visualizations on the web. Papers: [CHI'11](http://idl.cs.washington.edu/papers/commentspace "CommentSpace: Structured Support for Collaborative Visual Analysis. W Willett, J Heer, J Hellerstein, M Agrawala. ACM CHI 2011. Best Paper Nominee."), [CHI'07](http://idl.cs.washington.edu/papers/senseus "Voyagers and Voyeurs: Supporting Asynchronous Collaborative Visualization. J Heer, FB Vi&ecute;gas, M Wattenberg. ACM CHI 2007."), [VAST'07](http://idl.cs.washington.edu/papers/design-considerations-vast "Design Considerations for Collaborative Visual Analytics. J Heer, M Agrawala. IEEE VAST 2007.") Video: [CommentSpace](http://vimeo.com/19275098), [Sense.us](http://vis.berkeley.edu/papers/sense.us/video) [Visit the UW Interactive Data Lab for more! >>](https://idl.uw.edu/) |