Posts Tagged ‘ Blog 2017 ’

IEEE VIS 2017: A SciVis Perspective

October 16, 2017
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IEEE VIS 2017: A SciVis Perspective

Since my (Robert)’s conference reports are almost entirely focused on InfoVis (and a bit of VAST), I have asked Noeska Smit, medical visualization professor and my collaborator in the Vis Potpourri postings, to write about VIS from the SciVis perspective. Everything below are Noeska’s words. It’s been a while since I wrote a conference report. […]

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IEEE VIS 2017: Machine Learning, Diversity, Parties

October 13, 2017
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IEEE VIS 2017: Machine Learning, Diversity, Parties

I've ignored the major new topic this year so far: machine learning. Another new thing this year, though way overdue, was that we finally started to talk about diversity. And then there were the parties. Machine Learning Machine learning made a big showing this year, though I managed to miss most of the relevant talks […]

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IEEE VIS 2017: Perception, Evaluation, Vision Science

October 12, 2017
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IEEE VIS 2017: Perception, Evaluation, Vision Science

Questions of how visualization is read and understood are a common topic in research, and this year was no exception. This part of my IEEE VIS 2017 report covers papers dealing with perceptual issues, the match between visualization and tasks, statistical reasoning, as well as a panel on vision science. Perception Data Visualization Saliency Model: […]

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IEEE VIS 2017: Word Clouds, Stories, Interaction

October 11, 2017
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IEEE VIS 2017: Word Clouds, Stories, Interaction

I usually stick to the InfoVis track at VIS, and that was also the case this time. The papers in this part of my report from VIS 2017 cover text, small visualizations like sparklines and glyphs, tools for showing story structure, and multi-device interaction with data. Word Clouds Tag or word clouds are second only […]

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IEEE VIS 2017: Keynote and Capstone

October 10, 2017
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IEEE VIS 2017: Keynote and Capstone

Part 2 of my IEEE VIS 2017 report covers the keynote and capstone talks at the conference. They were not just at opposite ends of the conference, but also about as different as they can be in terms of content and delivery. Keynote: Jacqueline H. Chen, Analytics Inspired Visualization: A Holistic In-situ Scientific Workflow at […]

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IEEE VIS 2017: Best Papers and Other Awards

October 9, 2017
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IEEE VIS 2017: Best Papers and Other Awards

The IEEE VIS 2017 conference took place last week in Phoenix, AZ. I’m slower to write about it than in previous years, but to make up for that I’m not going in chronological order this time, but will break this report up in a more logical manner. This first part covers the opening, which included […]

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Visualization as a Field Is Still Invisible

September 26, 2017
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Visualization as a Field Is Still Invisible

A new series by the New York Times is equally exciting and painful: it presents visualizations for discussion in class, but the outside help they are getting is coming from statistics rather than visualization. It’s another reminder of just how far we still have to go to even be noticed as a research field. The […]

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Review: Putting Stories to Work and Out On the Wire

September 19, 2017
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Review: Putting Stories to Work and Out On the Wire

Two books I’ve read recently make good points about stories that apply to data stories, without the books being about data: Shawn Callahan’s Putting Stories to Work and Jessica Abel’s Out On the Wire. Strategic Use of Stories In Putting Stories to Work, Shawn Callahan has a very pragmatic view of how stories can be […]

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The Season of Storytelling: Kicking It Off With A Podcast

September 13, 2017
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The Season of Storytelling: Kicking It Off With A Podcast

It's (almost) Fall – a good time for telling stories! Jon Schwabish invited me to be on his PolicyViz podcast again to kick off its new season. And I have a long list of things to write about around that topic, too. But first, the podcast: Jon and I talked about what it means for […]

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Communicating Uncertainty When Lives Are on the Line

September 7, 2017
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Communicating Uncertainty When Lives Are on the Line

Showing when and where natural disasters like hurricanes are going to cause damage is not just a question of aesthetics – it is literally a matter of life and death. The traditional way hurricane forecasts are shown has a number of problems, but are the alternatives actually better? The type of representation most people see […]

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