Culture as Data & Data Cultures

In Class Agenda

• Discuss any immediate questions
• Discuss assigned materials
• Revise last week’s activity exploring cultural data and power hierarchies to consider data biographies and data feminism, then present your group’s results
• Discuss any questions from the Complex Python lesson or the Introduction to Web Scraping lesson

Assigned Materials

Read the following chapters:

• D’Ignazio, Catherine, and Lauren F. Klein. Chapter 4 “‘What Gets Counted Counts.’” In Data Feminism, by Catherine D’Ignazio and Lauren F. Klein. The MIT Press, 2020. https://doi.org/10.7551/mitpress/11805.001.0001.
• D’Ignazio, Catherine, and Lauren F. Klein. Chapter 6 “The Numbers Don’t Speak for Themselves.” In Data Feminism, 2020. https://direct.mit.edu/books/oa-monograph/4660/chapter/213291/The-Numbers-Don-t-Speak-for-Themselves.

Explore this digital project:

• Schimdt, Ben. “Gendered Language in Teaching Evaluations.” https://benschmidt.org/profGender/.

• Finish the Complex Python lesson and start working through Introduction to Web Scraping. Bring any questions you have to class.

Additional Materials

• Silge, Julia, Russell Samora, Amber Thomas, and Hanah Anderson. “She Giggles, He Gallops.” The Pudding, August 2017. https://pudding.cool/2017/08/screen-direction.
• Krause, Eunice. “Data Biographies: Getting to Know Your Data.” Global Investigative Journalism Network, March 27, 2017. https://gijn.org/2017/03/27/data-biographies-getting-to-know-your-data/.