APRIL 14-17, 2020

Pan Pacific, TIANJIN

Following the success of the three successful 2017, 2018 and 2019 IEEE PacificVis Data Storytelling Contest, the contest will take place for the fourth time in 2020. Data storytelling, narrative visualization, or explanatory visualization has emerged as an important industry trend, with events such as the Tapestry Conference, the Information is Beautiful Awards, and the Malofiej Infographics World Summit, as well as new visual essay publications and blogs such as The Pudding, Explorable Explanations and Google News Lab’s Data Journalism blog. The purpose of this contest is to encourage professionals, researchers and students to demonstrate the value of their visualization research through effective visual data storytelling, and to contribute to this exciting development in the broader visualization community.

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 any of these areas. Unlike contests such as the VAST challenge or the SciVis Contest, the data for the PacificVis visual data storytelling contest will be left unspecified; storytellers 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 visualization techniques and supported by the underlying data. The themes of the story can draw from any topic, including current affairs, history, natural disasters, and research findings from the sciences and humanities.

Videos of the finalists from the 2017, 2018 and 2019 contests can be viewed at https://vimeo.com/pviscontest.

For additional inspiration, consult these articles:

Narrative Visualization: Telling Stories with Data (Segel and Heer, IEEE InfoVis 2010)
Storytelling: The Next Step for Visualization (Kosara and Mackinlay, IEEE Computer 2013)
Visualization Rhetoric: Framing Effects in Narrative Visualization (Hullman and Diakopoulos, IEEE InfoVis 2013)
Understanding Data Videos: Looking at Narrative Visualization Through the Cinematography Lens (Amini et al., ACM CHI 2015)
More than Telling a Story: Transforming Data into Visually Shared Stories (Lee et al., IEEE CG&A 2015)

Or watch these videos:

Once Upon a Time: From Data to Stories (John Schwabish @ Socrata Connect 2017)
Animation, Pacing, and Exposition (Tony Chu @ OpenVisConf 2016)
Where's Larry? Bringing Data to Life Through Story (Cole Nussbaumer Knaflic @ Tapestry Conference 2017)

Entries may be submitted by teams or individuals, and from both industry and academia alike. Conference sponsors can participate non-competitively. Submissions must fulfill the requirements explained below.

  • Submission can take several forms:

    • Infographic: a single-page poster .pdf file that tells a story.
    • Data Comic: a multi-page .pdf file that tells a story in the style of a comic book.
    • Video: .mp4, .avi, or .mov formats are preferred, with a maximum length of 5 minutes. Note that video submissions that appear to be tutorials or demonstrations of a visualization tool will not be considered; the focus of the submission must be a visual narrative about the data, not a visualization tool or technique.

      Websites that use interactive and animated elements to advance stories may be Submitted as videos.

      Interactive work and other audio-visual projects that focus on data storytelling are encouraged to submit as well. A submission video that describes the story is mandatory. Once selected, we’ll work with the artists/authors to decide the best possible way to exhibit the work at the conference.

  • Submission must be in English with a succinct story title or headline.

  • A 150-word extended abstract using the IEEE VGTC poster template that briefly describes the data analysis and design process undertaken by the storyteller(s). The abstract should not include the message(s) communicated by the story; the story must stand alone in this regard such that a viewer should not need to read the abstract to understand the story.

  • A list of references that include the publicly-available dataset(s) that informed the story and those that are visually represented within the story, as well as any tools, libraries, previously published techniques, or software applications used during the data analysis and story design process.

  • The story must feature at least one programmatically-generated visual representation of data; visual representations of data generated by manual illustration (e.g., on paper, using illustration software) are allowed; however, these representations must be used in conjunction with a programmatically-generated visual representations of data. In addition, the programmatically-generated visual representation(s) should be the authors'own work, using techniques or tools created by the authors. Third party techniques or applications may be used in conjunction with the authors'own work as long as proper credit is given to their respective creators and it is made clear which aspects of the implementation represent the authors'own work.

  • The entries must be original data-driven stories that have not been previously published elsewhere.

  • For the accepted entries we expect the following additional requirements:

    • At least one member of the team must register for the conference and be present at the contest's sessions and award ceremony.

Submit online through the new Precision Conference System at the PacificVis 2020 Storytelling Contest track.

● Submission Deadline: January 10th, 2020, 9 PM (PST).

● Notification Date: February 7th, 2020.

● Final Submission: February 21st, 2020, 9PM PST.

A jury of visualization and data storytelling experts will carefully judge each submission and make the selection of award winners. Successful entries will effectively communicate a narrative, message(s), or insight(s) using visual representations of data. Each judge assigned to a submission will give the submission a score from 1 to 5, and they will be asked the following questions:

  • Is this work relevant to the PacificVis Data Storytelling Contest?
  • Is the story original (i.e, not previously published elsewhere)?
  • Is the story engaging and interesting?
  • Is the narrative point or message of the story clearly discernible? Are insights clearly communicated?
  • Are data sources adequately referenced?
  • Are data sources publicly available?
  • Does the story feature at least one programmatically-generated visual representation of data?
  • Is it clear which aspects of the story represents the author(s)'own work, using techniques or tools created by the authors
  • Is proper credit given to the creators of third-party techniques or applications used to generate the story?

Accepted submission will be published on the PacificVis Storytelling Contest channel on Vimeo. Awards will be presented to the winners during the conference.

For questions regarding the contest, please do not hesitate to contact the chairs directly via pvis_contest@pvis.org.

Contest chairs:

  •   ● Rebecca Ruige Xu, Syracuse University, USA
  •   ● Chris Bryan, Arizona State University, USA