VDS at KDD and VIS

That's a wrap for VDS @ Vis 2022! Thank you to all of our speakers and the great work that makes VDS what it is.

Remco Chang in second @VisualDataSci keynote at #ieeevis: Towards a Unifying Theory of Data, Task, and Visualization with a Grammar of Hypothesis Argues we're too nice to each other and keep expanding scope of "task" in each paper until it's so broad that we can't operationalize

Another great talk today! Our closing keynote, given by Remco Chang from VALT @TuftsUniversity on the Grammer of Hypothesis.

Congratulations to Yuncong Yu, Dylan Kruyff, Jiao Jiao, Tim Becker, and @michaelbehrisch for their Best Paper Award for "PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback" 🎉 #ieeevis

The @VisualDataSci workshop @ieeevis has an intriguing program with a keynote by @jdfaviz and talks on how to communicate #datascience work, notebook systems for visual analytics, and visualizations for debugging data science scripts. visualdatascience.org/2022/program/ #VIS #AI #ML

@VisualDataSci focuses on practical issues and open research problems in visualization in data science. Co-Chairs: @LiangGou Claudia Plant visualdatascience.org/2022/program/ @ieeevis #VIS #ML #DataScience

If you are attending @ieeevis please join us to learn more about our work on interpreting and visualizing bias in large networks at @VisualDataSci. It was amazing working with team as a teaching assistant and a collaborator!

Last but certainly not least, we are happy to introduce our closing keynote speaker Remco Chang, from Tufts University, presenting "Towards a Unifying Theory of Data, Task, and Visualization with a Grammar of Hypothesis"💥 11:25 am CDT! See you all Sunday visualdatascience.org/2022/program/

We are so excited to introduce our keynote speakers for Sunday! Our opening keynote speaker @jdfaviz, from Université Paris-Saclay and Inria, will be talking about "Scalability with Progressive Data Science." 🎉 9:05am CDT. Don't miss it!

🚨 VDS at Vis 2022 is in 1 week! 🚨 Mark your calendars and take a look at the exciting talks we have lined up: visualdatascience.org/2022/program/

VDS@KDD Submission Deadline is extended by a week! The new deadline is June 2nd, 2022, at 5:00 pm PDT 🎉

💥Reminder 💥: VDS'22 @ KDD Submissions are open for another week! The deadline to submit is May 26th. visualdatascience.org/2022/cfp/ Accepted papers can present at both @kdd_news and @ieeevis 🎉 #VDS22 #ieeevis #datascience #KDD2022

🎉 Don’t miss VDS tomorrow! Oct 24, 8:00am to 12:00pm (CT) 🎉 virtual.ieeevis.org/year/2021/even…

We are so excited about the work being presented this year! Check out the abstracts and schedule for this weekend -> visualdatascience.org/2021/program/

Looking forward to @arvindsatya1 's keynote "From Tools to Toolkits - Towards more Reusable, Composable, and Reliable Machine Learning Interpretability" this weekend! Sun. 10:40am-11:40am (Singapore)/Sat. 7:40pm-8:40pm (US West) Details and abstract: visualdatascience.org/2021/program/

Don't miss @hpfister's keynote "Towards Visually Interactive Neural Probabilistic Models" this weekend! Sun. 8:10am-9:10am (Singapore)/Sat. 5:10pm-6:10pm (US West) 👀 Details and abstract can be found here: visualdatascience.org/2021/program/ #VDS #KDD2021 #visualization #DataScience

Visualization in Data Science Workshop is next week! Come join us Sun. 8:00am-9:10am (Singapore)/Sat. 5:00pm-6:10pm (US West). 🎉 Schedule Here: visualdatascience.org/2021/program/

Visualization in Data Science (VDS) 2021 @ KDD & VIS. 💥New submission deadline💥: Thur, May, 27, 2021, 5:00pm PDT. This year, we bring the best of visualization in data science to both ACM KDD and IEEE VIS: bit.ly/3hFcRqH #VDS #CFP #KDD2021 #Visualization #datascience

VDS 2021 Submissions are now open! new.precisionconference.com/vds21a The deadline to submit is May 20th. Accepted papers can present at both @kdd_news and @ieeevis 🎉 #ieeevis #datascience #KDD2021

💥Call for participation 💥 Looking forward to your submissions! The deadline is May 20th 👀 visualdatascience.org/2021/cfp/