Links for Class #3

Reading

D’Ignazio, Catherine, and Lauren Klein. “Collect, Analyze, Imagine, Teach.” In Data Feminism. Cambridge, MA: MIT Press, 2020.

Mapping Inequality

“Guest Devs: Mapping Inequality” - https://www.mapbox.com/webinars/mapping-inequality?mkt_tok=eyJpIjoiTVRZeE4yVTBNR1kzWVRNNCIsInQiOiJKVG90TklTVjVIZW9Dc2o3MG5PTzlGXC9DZCtXckc3VzJ2UFIwdW5TdFkwUzdMcmNjQ21EUmhWOTdzVTByd01UeUs4U0FuUW9HRFRmcUZERUhIZzJ1NUwrTkZVVThSZEhDT2I0aThRbnFtcHNmeTZjd2l1TjZKdnliZWNXbDNRdngifQ%3D%3D

• Time permitting, let’s watch 4:40 to 8:25 for a description of the HOLC categories

“Mapping Inequality” - https://dsl.richmond.edu/panorama/redlining/

Exercise: Use the “Search for city” bar to find a city or town on the map that you are familiar with. How does this redlining map from the 1930s or 40s compare to what you know about the place today? What similarities or differences do you observe? Did you learn anything surprising from these historical sources?

Markdown and GitHub

Let’s return to Markdown and GitHub for the remainder of the class period. Instructions here: https://rutgersdh.github.io/humdata22/2022/01/25/blogging-tools/.

Blog post no. 1

Questions about the assignment due tonight?