The IEEE VIS conference is the most important outlet for academic research. This year's conference took place in Berlin, Germany. Here is a report on some of the most interesting (to me, anyway) papers, events, and developments, in three parts.
Visualization doesn't have the replication issues that some other fields are struggling with right now, but is that because our science is so strong or because nobody actually bothers with replications? And what can we do to get ahead of potential problems before we run into a full-on crisis? In a paper to be presented at BELIV, Steve Haroz and I list potential pitfalls and present possible solutions.
We recently announced the speakers for Tapestry 2018, which takes place November 29 and 30 at the University of Miami. It will again be focused on telling stories with data, but we're also making a few changes.
EuroVis raged on through the end of the week with talks, posters, and lots of food. This second part covers papers about visualization evaluation, high-dimensional structures, graph layouts, etc., as well as the capstone and closing (with information about next year).
[Read more...] about EuroVis 2018, Wednesday through Friday
EuroVis 2018 in Brno, Czechia, is in full swing. The first two days included workshops, the opening with a very fun and interesting keynote, and some good papers. [Read more...] about EuroVis 2018, Monday and Tuesday
If you're into visualization for communication and storytelling, these two events should be on your radar: the Visualization for Communication Workshop (VisComm) at VIS and Tapestry 2018. [Read more...] about VisComm Workshop at VIS and Tapestry 2018
Jason Dykes is professor at City University London, where he also co-leads the giCentre. He straddles the line between cartography and visualization, publishing in both communities and combining ideas from both – which have led to crossover ideas like spatially-ordered treemaps and map lineups. [Read more...] about Portrait: Jason Dykes
The academic visualization community largely comes from computer science: most of the professors teach in computer science (or similar) departments, most of the students doing research are computer science students of some flavor or other. It's interesting to consider how the field might be different if visualization had emerged from a different discipline. [Read more...] about Visualization: Three Alternate Histories
This is a guest posting by my Tableau Research colleague Michael Correll.
I recently attended CHI 2018 in Montréal, QC. Normally conferences leave me excited for the next idea or the next direction (and also physically exhausted). This was one of the first where I was left feeling terrified: A lot of the work did an excellent job of highlighting core problems about our assumptions as visualization researchers, and poked at big intractable issues that I had mostly been ignoring for a long time. There were also exactly 666 accepted papers, which is not a good omen either. [Read more…] about Seven Visualization Talks That Terrified Me At CHI
It can be hard to get excited about the standard datasets that we keep using to show how visualization and statistics work. But if that's the case for you, it's not the datasets's fault, it's you! Here’s how to keep that spark going! [Read more...] about How to Get Excited About Standard Datasets