Data Stories 108 | Review of IEEE VIS’17 with Jessica Hullman and Robert Kosara
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We have Jessica Hullman from the University of Washington and Robert Kosara from Tableau Software on the show this week to share highlights from the IEEE VIS 2017 conference, which took place in Phoenix, Arizona in early October.
On the show, we discuss a number of interesting papers, panels and talks that were given at the conference. Of course, this is just a tiny portion of what took place in Phoenix! If you want to know more, take a look at the conference website.
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Links
- Jessica Hullman
- Robert Kosara
- Paper: “Blinded with Science or Informed by Charts?”
- Paper: “Keeping Multiple Views Consistent”
- Paper: “Uncertainty Visualization by Representative Sampling from Prediction Ensembles”
- The New York Times on understanding and visualizing uncertainty
- The New York Times: “You draw it”
- Paper: “Modeling Color Difference for Visualization Design”
- Paper: “Data Through Others’ Eyes”
- Paper: “Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow”
- Panel: “Diversity in Visualization” (YouTube video)
- The Grace Hopper Celebration for women in technology
- Art Program and Giorgia Lupi’s capstone
- Giorgia Lupi’s capstone video
- Panel: InfoVis x Vision Science
- Robert’s six-part coverage of the conference
- Steve Haroz’s writeup of the conference