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Home > Data Stories > 150  |  Highlights from IEEE VIS'19 with Tamara Munzner and Robert Kosara
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Episode:

150  |  Highlights from IEEE VIS'19 with Tamara Munzner and Robert Kosara
Category: Arts
Duration: 01:02:01
Publish Date: 2019-11-20 13:00:03
Description:

We have Tamara Munzner from the University of British Columbia, Vancouver, and Robert Kosara from Tableau Research on the show to go through some of our personal highlights from the IEEE Visualization Conference 2019. We talk about some of the co-located events, some of the technical papers and major trends observed this year. Make sure to take a look at the links below, there is a lot of material! And especially the videos. There are quite a few that have been posted online this year.

Enjoy the show!

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LINKS:

Main conference website: http://ieeevis.org/year/2019/welcome

Events:
Infovis X Vision science: https://visxvision.com/vis-2019/ 

Organisers:

Visualization for Communication workshop: VisComm 

BioVis@Vis workshop: http://biovis.net/2019/program_ieee/
Mentioned speakers: Martin Karpefors, Sean Hanlon https://cssi.cancer.gov/about-us/leadership/sean-e-hanlon-phd, Erin Pleasance http://www.bcgsc.ca/faculty/sjones/research-team-members/Erin01.JPG/view 

Visualization in Data Science: http://www.visualdatascience.org/2019/program/  Mentioned speakers: Been Kim, Google Brain https://beenkim.github.io, Andrew Gelman http://www.stat.columbia.edu/~gelman/, Jenny Bryan: https://jennybryan.org 

Technical Papers – The Test of Time

Jark J. van Wijk et al.: Cluster and Calendar based Visualization of Time Series Data
https://www.win.tue.nl/~vanwijk/clv.pdf

Tamara Munzner: A Nested Model for Visualization Design and Validation
https://www.cs.ubc.ca/labs/imager/tr/2009/NestedModel/ 

Reflections and provocations

Miriah Meyer, Jason Dykes: Criteria for Rigor in Visualization Design Study
Paper: https://arxiv.org/pdf/1907.08495.pdf
Video: https://vimeo.com/369711672 

Arvind Satyanarayan et al.: Critical Reflections on Visualization Authoring Systems
https://arxiv.org/abs/1907.13568 

Jagoda Walny et al.: Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff https://arxiv.org/abs/1908.00192 

Evanthia Dimara, Charles Perin: What is Interaction for Data Visualization?
https://arxiv.org/abs/1908.00192 

Visual perception and cognition
ROBERT 3D Pie Charts

Jessica Hullman: Why Authors Don’t Visualize Uncertainty
https://arxiv.org/pdf/1908.01697.pdf

Cindy Xiong et al.: Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull
https://arxiv.org/abs/1908.00073

Visualisation for machine learning

The What-If Tool
https://arxiv.org/abs/1907.04135

Àngel Alexander Cabrera: FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning https://arxiv.org/abs/1904.05419

Yongsu Ahn: FairSight: Visual Analytics for Fairness in Decision Making
https://arxiv.org/abs/1908.00176

New visualisation techniques

Bryce Morrow et al.: Periphery Plots for Contextualizing Heterogeneous Time-Based Charts
https://arxiv.org/pdf/1906.07637.pdf

Alex Bigelow: Origraph: Interactive Network Wrangling.
https://arxiv.org/abs/1812.06337

Zipeng Liu: Aggregated Dendrograms for Visual Comparison Between Many Phylogenetic Trees http://www.cs.ubc.ca/labs/imager/tr/2019/adview/

Vis in Practice 
https://visinpractice.github.io

Capstone Adress by Johanna Drucker
Video: https://vimeo.com/369216256  

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