Participants will use tables of contents from the CTT collection (https://mavmatrix.uta.edu/exhibit/ctt/ or https://mavmatrix.uta.edu/english_ctt/) to produce a creative and meaningful data visualization that sheds light on topics including: 

• Trends in author inclusion across anthologies 

• Shifts in genre or thematic representation 

• The rise and fall of literary prominence 

• Any other compelling story the data reveals! 

To guide your thinking, read the collection’s Introduction essay (https://mavmatrix.uta.edu/exhibit/ctt/introduction/), which asks questions like  

• Where Does “American” literature Begin and Why Does that Matter? 

• Who is a “Major” American Author,  

• What is a “Major” American Trend/Theme/Concern? 

• How Do Anthologies Spatially and Rhetorically Weigh/Answer these Questions?

 

Each team will submit their final data visualization in a browser-friendly format. In addition to the visualization, teams must submit a 200-300 word statement describing what the visualization represents. All submissions need to be made through the DevPost Project submission page.

 

Submissions must be received by Friday, November 7 at 5pm Central Time.