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Please keep the following competition and judging rules in mind:


  • Teams must include at least 3 and no more than 5 people.
  • Teams must allow at least one additional “outsider” to join their team.


  • Data used for the data in sight competition must be open data.
  • Data sets will be provided (data details).
  • Participants can work with their own data under the following conditions:
    • The data must be mashed up with the data sets provided.
    • The team discloses the use of their own data set on the results blog.
    • The data is open and legal.


  • All tools can be used under the following condition: The team fully discloses the usage of their tools on the results blog.

Submitting the data visualization

Data visualizations can be as simple or complex as you desire; they can be static or dynamic, interactive or not.

  • Each team will post their data visualization on the provided results blog.
  • The results page should include:
    • Project name/title and short description
    • Name of team and team members
    • Affiliation of team members and job titles
    • Data sets used
    • Software/resources/tools used (in preparing, computing and visualizing)
    • APIs used
    • Screenshots or videos of the result
    • Link to the result (if applicable)
    • Amount of time worked with the data set(s) prior to the event

Presenting the data visualization

  • Each team will present their results to the judges on Sunday afternoon.
  • Teams will present using their own computers.
  • Projection equipment will be provided.
  • The time allotted for each presentation is 2 minutes, plus 1 minute for Q&A.


  • Following the presentations on Sunday afternoon, the panel of 11 judges will evaluate each data visualization and pick winners in 4 categories (best dynamic/interactive, best fusion of multiple data sets, most aesthetically pleasing, and most actionable).
  • A “People’s Choice” award will also be announced. Each participant is invited to cast one vote for one of the competitor’s data visualizations. (Participants have access to the wiki pages to review all projects.)
  • The judges will base their assessments on the information provided on the results blog, the presentations, and the data visualizations themselves.


Last but not least, we want to remind you that your data visualization has all the potential to win – static or dynamic, complex or simple. We are excited to see the data visualization masterpieces you will come up during the weekend!

Still have a question? Send us an email (

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