VDS-KDD 2022: Visualization in Data Science VDS @ KDD 2022 Convention Center Washington DC, DC, United States, August 14-18, 2022 |
Conference website | http://www.visualdatascience.org/2022/index.html |
Submission link | https://easychair.org/conferences/?conf=vdskdd2022 |
Overview
Transformations in many fields are enabled by rapid advances in our ability to acquire and generate data. The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. Extracting knowledge or insights from this abundance of data lies at the heart of 21st century discovery, which can be used to inform decisions, coordinate activities, optimize processes, improve products and services, as well as enhance productivity and innovation across a wide range of business and scientific problems.
Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data mining, data management, visualization, and HCI. It drives discoveries in business, economy, biology, medicine, environmental science, the physical sciences, the humanities and social sciences, and beyond.
Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. After seventh highly successful events, the eighth Symposium on Visualization in Data Science (VDS) will be held at a new venue, ACM KDD 2022 as well as IEEE VIS 2022. VDS at KDD and VIS will be hybrid (both virtual and in-person) in 2022. VDS will bring together domain scientists and methods researchers (including data mining, visualization, usability and HCI, data management, statistics, machine learning, and software engineering) to discuss common interests, talk about practical issues, and identify open research problems in visualization in data science.
We encourage you to submit original work that emphasizes the role, application, and impact of visualization in data science. Accepted submissions have the opportunity to present at VDS events at both ACM KDD and IEEE VIS. This event accepts full and short paper submissions for talks.
Paper Submission
We encourage you to submit original work that emphasizes the role, application, and impact of visualization in data science. Accepted submissions have the opportunity to present at VDS.
Full Papers (up to 8 pages): Paper submissions should describe the role, application, and impact of visualization in data science. We would like to particularly encourage papers that cross disciplinary boundaries and show how visualization in data science can be a catalyst for discovery. Papers will be published on our website. In addition, we plan to recommend extended versions of selected papers in a special issue of the journal, IEEE Transactions on Visualization and Computer Graphics (TVCG).
Papers that integrate visualization with any stages of the data science pipeline (collecting data, cleaning data, mining data, exploring data, and communicating data) would be welcome as submissions to VDS.
Short Papers (up to 4 pages): We also accept short papers, with similar themes as described in the Full Paper track above. However, we will not recommend extended versions of the short papers to IEEE TVCG due to their shorter length.
Review Process (Double blind)
Paper submissions will be managed by the Program Chairs and sent to the Program Committee to evaluate the work’s novelty and significance. Your work reviewed via a double-blind process; to do this, simply be sure to exclude all identifying information in the submitted manuscript file, ensuring that the reviewers will not know the identity of the authors. Otherwise, the review process will be single-blind, i.e., the reviewers will know the identity of the authors, but the authors will not know the identity of the reviewers.
Paper Submission and Formatting Guidelines
Submissions should be no more than 8 pages long excluding references for full papers – and 4 pages for short papers. Papers should follow the formatting guidelines for IEEE VIS TVCG Journal submissions. Papers should include full-color figures throughout and we encourage authors to showcase their work with annotated, well described, large, and detailed graphics. We also encourage the placement of a teaser image at the top of the very first page to showcase your work visually.
Submission System
To submit a paper please use the easychair system (https://easychair.org/conferences/?conf=vdskdd2022)
Important Dates
Thur., May 26th, 2022, 5:00 pm PDT: Paper and Abstract Submission
Mon., June 20th, 2022: Author Notification
Mon, June. 27, 2022: Camera-ready Copy for Accepted Submissions
VDS @ VIS Dates
TBD.
VDS @ KDD Dates
August 14 (tentative), 2022: VDS Workshop at ACM KDD
Symposium Co-Chairs
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Liang Gou, Bosch Research (IEEE VIS liaison)
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Claudia Plant, University of Vienna (KDD liaison)
Vis Paper Chairs
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Alvitta Ottley, Washington University, St. Louis
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Anamaria Crisan, Tableau Research
KDD Paper Chairs
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Junming Shao, University of Electronic Science and Technology of China
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Nina Chritine Hubig, Clemson University
Web/Tech Chair
- Jorge Ono, Bosch Research
Publicity Chair
- Jen Rogers, University of Utah
Steering Committee
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Alexander Lex, University of Utah
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Torsten Möller, University of Vienna
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Adam Perer, Carnegie Mellon University
Contact & Registration
Please use vds@ieeevis.org to get in touch with us, or follow us on Twitter at @VisualDataSci.