(IEEE VIS 2022) IEEE Visualization Conference

Computer Science and Technologies

Conference Date

Oct 16-Oct 21, 2022

Place

Oklahoma City, The United States

Submission Deadline

Mar 21, 2022

E-mail

general_chair@ieeevis.org

Telephone

Description

VIS 2022 will be the year’s premier forum for advances in theory, methods, and applications of visualization and visual analytics. The conference will convene an international community of researchers and practitioners from universities, government, and industry to exchange recent findings on the design and use of visualization tools.

We invite you to share your research, insights, and enthusiasm at IEEE VIS. The 2022 program will also feature a diverse range of symposia and co-located events, including Visualization in Practice, Visualization in Data Science, the VIS Arts Program, and data analysis Challenge competitions, as well as an Application Spotlights track.

After two years of purely virtual events, we plan for an in-person part of the conference and express this by the motto: “VIS ’22 is about the people you meet”

Papers - Call For Participation
Area 1: Theoretical & Empirical
This area focuses on theoretical and empirical research topics that aim to establish the foundation of VIS as a scientific subject.

Area 2: Applications
This area encompasses all forms of application-focused research.

Area 3: Systems & Rendering
This area focuses on the themes of building systems, algorithms for rendering, and alternate input and output modalities.

Area 4: Representations & Interaction
This area focuses on the design of visual representations and interaction techniques for different types of data, users, and visualization tasks.

Area 5: Data Transformations
This area focuses on the algorithms and techniques that transform data from one form to another to enable effective and efficient visual mapping as required by the intended visual representations.

Area 6: Analytics & Decisions
This area focuses on the design and optimization of integrated workflows for visual data analysis, knowledge discovery, decision support, machine learning, and other data intelligence tasks.