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IEEE Pacific Visualization Conference 2027

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The 2027 Visual Data Storytelling Contest

In conjunction with IEEE PacificVis 2027 in Busan, South Korea

About

The Visual Data Storytelling Contest celebrates its 11th year in 2027. This contest celebrates the emerging data communication genre, including data storytelling, narrative visualizations, explanatory notebooks, visual essays, and more. It aims to encourage students, researchers, and practitioners to demonstrate the value of data visualization by creating creative and compelling visual data stories. The contest will be held in conjunction with IEEE PacificVis 2027 from April 19-22, 2027 in Busan, South Korea.

PacificVis is a unified visualization symposium welcoming all areas of visualization, such as information, scientific, graph, security, and software visualization. Storytellers are invited to submit visual data-driven stories that draw upon (or intersect with) any of these areas. In addition, entries that focus on computational journalism and artistic design projects are encouraged. Unlike contests such as the IEEE VAST Challenge or the IEEE SciVis Contest, the data for the PacificVis Visual Data Storytelling Contest is intentionally left unspecified; you are free to choose any publicly available dataset(s). Similarly, the task that storytellers are to accomplish is to successfully communicate a message or series of messages (i.e., a narrative, a series of insights) using data visualization techniques. The story's themes can draw from any topic, including current affairs, history, natural disasters, and research findings from the sciences and humanities. Entries may be submitted by teams or individuals from industry and academia. Conference sponsors can participate non-competitively.

Please see the Contest Website for full details.

Important Deadlines

All dates are midnight AoE.

DeadlineDate
Submission DeadlineFebruary 1, 2027
Notification DateFebruary 15, 2027
Camera-Ready DeadlineMarch 1, 2027
Present at PacificVis 2027April 19-22, 2027

Contest Chairs

  • Linping Yuan profile

    Linping Yuan

    Hong Kong University of Science and Technology

  • Angelos Chatzimparmpas profile

    Angelos Chatzimparmpas

    Utrecht University