Please post a brief statement about your point of entry/concept and include source(s) of data:
Tatiana: From Forbes richest, self-made, people in america I want to extract the wardrobe colors expressed (i.e. a tie) in the top 100s “profile picture” and compare it to an entry level job employees at those same companies.
Maggie: I want to compare Rotten Tomatoe’s top 100 rated movies of 2012 to the top 100 highest grossing movies of 2012 from Box Office Mojo.
Samantha: I’m thinking about creating a web app that calculates creativity based on solving brainteasers (out of the box thinking) or word associations. My other idea was to look at admission statistics and find a correlation with creativity, or compare resumes for unique qualities.
Kevin: I will compare characters’ facial expressions and postures from the subjectively creative comic strip Calvin & Hobbes with those from a subjectively noncreative comic like Garfield (data source: http://www.amureprints.com/).
Patricia: I will look on the relationship between creativity and time. What is one’s most creative time of day? How does it relate to the normal working day?
Blanca: The Adderall & Ritalin consumption in the US vs. Torrent Creativity Test scores (and expressions of creativity in contemporary popular music and movies).
Katherine: I will be gauging the creativity of this year’s Super Bowl commercials using a matrix that I will determine.
Jason: I will look at creativity from the business perspective, and see the impact different cities, startup ecosystems, and the creativity of startup ideas have on the amount of funding a startup has received.
Celia: I am interested in looking at the experience of creativity and its affect on our senses. I am planning to focus on the senses of taste, see, and hear, using data from expert sources such as The World’s 50 Best Restaurants, Sotheby’s, and Pitchfork.
Abigail: I will be collecting data from Pinterest’s 50 most popular pages, considering the site as a new medium/forum for creativity. Comparing the core information from each page (likes, pins, boards, etc.) to ascertain what is popular and why on Pinterest and for creativity as a whole.
Jennie: I’m interested in using a dataset I found on infochimps that lists dirty, obscene, and banned words, from multiple sources, and mapping out qualities of the words as well as show differences in each of the lists and how each group plays a role in censorship.
Lauren: I’m going to look at the DIY movement using sales data from Etsy. The Etsy API can be a datasource, but there’s also craftcount.com which lists the top sellers by category, country and over time.