- Any student currently enrolled at Temple University or our partner institutions can participate.
- Work individually or in teams.
- No registration required.
- Choose one of the three challenges and address one or more of the questions for that challenge.
What you can use
- Any software tool.
- Workshops and mentoring are offered throughout October.
What you should submit
- The graphic. It can be a static image or interactive (such as Flash).
- A brief description, less than one single-spaced page, what’s great about your graphic.
- Make sure it’s clear which one of the three challenges you’re addressing.
How you should submit
- Email your entry to analyticschallenge@temple.edu by 11:59 P.M. on October 30, 2015.
- Attach the graphic and the description as separate files to a single email message with the subject “Entry for Analytics Challenge”.
- The following must be clearly displayed on the graphic and on the one page-description: (1) the name of the challenge (PA Ballet, Merck, or QVC), (2) each team member’s name with their COLLEGE OR UNIVERSITY, their AccessNet ID (not TUID) for Temple students OR FOR NON-TEMPLE STUDENTS AN ACTIVE UNIVERSITY EMAIL ADDRESS (youremail@yourUniversity.edu).
- Convert static graphics to PDF format. The one-page description must also be in PDF format. There are free tools that do this, such as PDF Creator.
- Interactive visualizations must run without special software on any PC running Windows 7.
What happens after you submit
- You will receive a confirmation email acknowledging your entry.
- Finalists will be notified by email by November 10, 2015.
- Finalists will present their work in front of the judging panel on November 16, 2015.
Your entry will be disqualified if…
- It is submitted after the deadline.
- The attachments won’t open or are in the wrong file format.
- Your interactive visualization won’t run.
- You don’t specify the challenge you are addressing.
- Team member names and their AccessNet IDs are not on both the graphic and the description.
How entries will be evaluated
- Clarity (how well the graphic stands on its own without additional explanation)
- Novelty/creativity (originality of thought; surprising way of approaching the data)
- Provides meaningful insight into the data
- Integration of multiple data sets to yield new insights
- Utility of the visualization in aiding decision making
