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WikiViz 2011 : WikiViz 2011: Visualizing the impact of Wikipedia


When Oct 4, 2011 - Oct 4, 2011
Where WikiSym 2011 (Mountain View, CA)
Submission Deadline Aug 28, 2011
Notification Due Sep 12, 2011
Categories    wiki   visualization   graphics   data mining

Call For Papers


There are three simple rules to submit entries to WikiViz 2011 ( (

*Original work*
We welcome original visualizations (both static and interactive) representing the external impact of Wikipedia (or other Wikimedia projects ( Submissions should have not been previously published elsewhere or submitted to other visualization competitions, until the awarding ceremony.

*Open licensing*
Submissions should be released under a CC-BY-SA 3.0 license ( or any other license compatible with Wikimedia Commons (

*Open data*
Visualizations should be based on publicly available and publicly reusable data. We expect the winner and runner-up teams to release the datasets used by the visualization before the awarding ceremony in October under an open license, as above, or even better under a CC0 license (public domain) (, to minimize attribution stacking when merging multiple datasets.


The focus of WikiViz is on data-driven visualizations. Infographics (no matter how beautiful and relevant) fall outside the scope of this contest. Likewise, we are not looking for purely artistic submissions that do not convey novel insights or valuable knowledge on the theme of the challenge. Submissions not meeting these criteria as well as submissions with no relevance to the theme of the challenge will not be considered in the selection process.


Submissions will be accepted from Wed. June 29, 2011 to Fri. August 19, 2011. Note: this deadline has been extended to Sun. August 28, 2011.

Participants can submit their works via the WikiViz submission site, powered by EasyChair (

In case you don't have an EasyChair account, you can create one ( (also featured on the login page above). Once you have logged in the system, click on New Submission on the top menu to enter the submission page to send us your work.

The following information is required for each submission:
o Author(s) information, including name, e-mail, country of origin and affiliation.
o Link to the website hosting your visualization (if applicable), so that the jury can find and evaluate your submission.
o Title of your visualization and a short abstract to summarize it (max. length 150 words).
o A list of keywords describing your work (for classification purposes).
o A one-page description of your work (“paper”, PDF or plain text format), including:
o The main goal(s) of your visualization.
o A description of the datasets that you used to create this work (including links, when applicable).
o Tools and programming languages that you used to create your work.
o A short section explaining why do you think your submission fulfills the evaluation criteria (see below).
o Screenshots: You must also attach a compressed .zip file with a max. of 3 screenshots, licensed under CC-BY-SA 3.0 (, to illustrate your visualization work.

Once you are done, click on the Submit button and follow the instructions. You should receive an email confirming that your submission was correctly filed. Should you have any questions, you can follow the Help link on the top right menu, or email the organizers at: wikiviz2011 [at] easychair [dot] org


Entries complying with the terms of participation will be evaluated on the basis of the following criteria. Submissions should always respect copyrights. The organization reserves the right to reject any entries that we deem transgressed copyright from other original authors.

Is this work a breakthrough in visualization?

*Visually meaningful*
Is this work beautiful and revealing to the viewer?

To what extent is this work intuitive, clear and accessible to viewers irrespective of language, culture or visualization literacy?
We will also consider the following criteria about data and methods used to produce the visualization as a supplementary basis for evaluation.

*Transparent data*
Can the viewer easily appraise and understand the visualized data? Is the visualization tailored to the data it represents?

*Novel data*
Is the dataset visualized original, unusual or unexpected in itself?

*Open tools*
Are the tools/languages used to produce the visualization open and freely available?


For any questions, comments or interest in supporting or collaborating with this challenge, please contact the co-organizers:
Dario Taraborelli (Wikimedia Foundation), dtaraborelli–at–wikimedia–dot–org, (
Felipe Ortega (WikiSym), jfelipe–at–libresoft–dot–es, (

You can also follow us on Twitter: @WikiViz (please tag your tweets with #wikiviz11)

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