[Ieee_vis] IEEE PacificVis 2020 - Visual Data Storytelling Contest

[Hsiang-Yun WU]

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                Call for Visual Data Storytelling Contest
13th IEEE Pacific Visualization Symposium (PacificVis 2020)
                            APRIL 14-17, 2020
                        Pan Pacific, TIANJIN, China
                             http://pvis.org
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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)
https://cpb-us-e1.wpmucdn.com/sites.northwestern.edu/dist/3/3481/files/2015/02/Narrative_Visualization.pdf

Storytelling: The Next Step for Visualization (Kosara and Mackinlay,
IEEE Computer 2013)
http://dataplusscience.com/files/Kosara_Computer_2013.pdf

Visualization Rhetoric: Framing Effects in Narrative Visualization
(Hullman and Diakopoulos, IEEE InfoVis 2013)
http://users.eecs.northwestern.edu/~jhullman/vis_rhetoric.pdf

Understanding Data Videos: Looking at Narrative Visualization Through
the Cinematography Lens (Amini et al., ACM CHI 2015)
http://hci.cs.umanitoba.ca/assets/publication_files/DataVideoStorytellingCHI2015_Revision_Final.pdf

More than Telling a Story: Transforming Data into Visually Shared
Stories (Lee et al., IEEE CG&A 2015)
https://hal.inria.fr/hal-01158445/document


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.

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Requirements
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- 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.


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Submission
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Submit online through the new Precision Conference System at the
PacificVis 2020 Storytelling Contest track
(https://new.precisionconference.com/).

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Important Dates
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- Submission Deadline: January 10th, 2020, 9 PM (PST).
- The title, submission file, abstract, and reference list should be
submitted via the new Precision Conference System.
- Notification Date: February 7th, 2020.
- Final Submission: February 21st, 2020, 9PM PST.


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Awards and Rating
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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.


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


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Contest chairs:
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Rebecca Ruige Xu, Syracuse University, USA
Chris Bryan, Arizona State University, USA


-- 
Hsiang-Yun WU

e-mail: wu (at) cg.tuwien.ac.at
phone: +43-1-58801-18602 ext. 186206
fax: +43-1-58801-18698
URL: https://www.cg.tuwien.ac.at/staff/HsiangYunWu.html
URL2: http://yun-vis.net/