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Poster deadline is extended: CFP - Poster (February 10, 2022)
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CFP - Poster is out! (October 25, 2021)
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CFP - Visual Data Storytelling Contest is out! (October 20, 2021)
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CFP - Visualization Notes is out! (September 26, 2021)
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CFP - Full Papers is out! (August 10, 2021)
CFP - Visualization Meets AI 2022
A co-located workshop “Visualization Meets AI 2022” opened its own website.
CFP - Visualization Notes
PacificVis 2022 features a short paper track, called “Visualization Notes”. The purpose of this track is to encourage young researchers to present their work and discuss with participants including senior researchers there. The submissions can be late-breaking results or work in progress, while they should be novel enough to attract interest from the visualization community.
CFP - Full Papers
PacificVis is a unified visualization symposium, welcoming all areas of visualization research such as information visualization, scientific visualization, graph and network visualization, visual analytics, and visualization applications in domains such as (but not limited to) biological sciences, education, machine learning, physical sciences, security, and social science. Authors are invited to submit original and unpublished research and application papers in all areas of visualization. PacificVis 2022 will be held in Tsukuba, Japan on April 11-14, 2022. We encourage papers in any new, novel, and exciting research area that pertains to visualization.
CFP - Posters
PacificVis 2022 is soliciting high quality poster proposals. The PacificVis 2022 poster program is welcoming all areas of visualization research such as information visualization, scientific visualization, and visual analytics science and technology. As we would like the authors to demonstrate novel and applicable ideas in all aspects of visualization, posters on work in progress and on practical applications are welcome.
Call for Visual Data Storytelling Contest Entries
The PacificVis Storytelling Contest celebrates its sixth year in 2022. The purpose of this contest is to encourage students, researchers, and visualization practitioners to demonstrate the value of visualization through effective visual data storytelling, as a way to promote innovative and effective use of visualization for communicating and explaining ideas.