62 minutes | Nov 20, 2019

150  |  Highlights from IEEE VIS'19 with Tamara Munzner and Robert Kosara

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! [Our podcast is fully listener-supported. That’s why you don’t have to listen to ads! Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. And thank you!] LINKS: Main IEEE VIS conference website Events: Infovis X Vision science Mentioned speakers: Timothy Brady, Darko Odic, Jeremy Wolfe   Visualization for Communication workshop: VisComm  BioVis@Vis workshop Mentioned speakers: Martin Karpefors, Sean Hanlon, Erin Pleasance   Visualization in Data Science Mentioned speakers: Been Kim, Google Brain, Andrew Gelman, Jenny Bryan  Technical Papers – The Test of Time Jark J. van Wijk et al.: Cluster and Calendar based Visualization of Time Series Data Tamara Munzner: A Nested Model for Visualization Design and Validation  Reflections and provocations Miriah Meyer, Jason Dykes: Criteria for Rigor in Visualization Design Study Paper / Video  Arvind Satyanarayan et al.: Critical Reflections on Visualization Authoring Systems  Jagoda Walny et al.: Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff  Evanthia Dimara, Charles Perin: What is Interaction for Data Visualization? Visual perception and cognition Robert Kosara: Evidence for Area as the Primary Visual Cue in Pie Charts Jessica Hullman: Why Authors Don’t Visualize Uncertainty Cindy Xiong et al.: Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull Visualisation for machine learning The What-If Tool Àngel Alexander Cabrera: FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Yongsu Ahn: FairSight: Visual Analytics for Fairness in Decision Making New visualisation techniques Bryce Morrow et al.: Periphery Plots for Contextualizing Heterogeneous Time-Based Charts Alex Bigelow: Origraph: Interactive Network Wrangling Zipeng Liu: Aggregated Dendrograms for Visual Comparison Between Many Phylogenetic Trees Vis in Practice  Capstone Adress by Johanna Drucker Video https://datastori.es/wp-content/uploads/2019/11/150_Video.mp4 Related episodes IEEE VIS’15 Recap with Robert Kosara and Johanna FuldaHighlights from IEEE VIS'16 with Jessica Hullman and Robert KosaraReview of IEEE VIS’17 with Jessica Hullman and Robert KosaraHighlights from IEEE VIS 2018
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