Reading Schedule

ModuleMonday
(begin)
Wednesday
(Zoom/response)
Friday
(post)
0: Getting StartedFeb 1Feb 3Feb 5
1: Discussion StartersFeb 8Feb 10Feb 12
2: Humanities, DigitallyFeb 15Feb 17Feb 19
3: Thinking with DataFeb 22Feb 24Feb 26
4: Getting DataMar 1Mar 3Mar 5
5: Using DataMar 8Mar 10Mar 12
6: BreatherMar 15Mar 17Mar 19
7: NetworksMar 22Mar 24Mar 26
8: MapsMar 29Mar 31Apr 2
9: WorkApr 5Apr 7Apr 9
10: WorkApr 12Apr 14Apr 16
11: WorkApr 19Apr 21Apr 23
12: WorkApr 26Apr 28Apr 30
13: ConferenceMay 3May 5May 7
Final project dueMay 14

Module 0: Getting Started

Everyone
  1. Arguing with Digital History working group, “Digital History and Argument,” white paper, Roy Rosenzweig Center for History and New Media, (November 13, 2017): https://rrchnm.org/argument-white-paper/
  2. WordPress Editor orientation
  3. Getting Started with Slack: read all items in the “Intro to Slack” section
  4. Using Slack and Your Slack Profile: Useful information on navigation, accessibility, notifications, and searching
  5. Do Digital Natives Exist? (video autoplays) I’ve assigned this because I think the “digital natives” problem sums up why many history majors are wary of technology–we’re very good at consuming history online (especially via searching on google or a library database) but have no training in producing history online. Doing digital analysis and learning technology is something you can learn–it’s a skill just like any other!
Grad
  1. Catherine D’Ignazio and Lauren Klein, “Introduction: Why Data Science Needs Feminism,” in Data Feminism (PubPub, 2020), https://data-feminism.mitpress.mit.edu/pub/frfa9szd/release/3.
  2. Ten Commandments of Grad School Not about DH, but good professional life advice, especially in an age where much of our professional lives are online.
  3. How I Use Twitter as an Academic We won’t be using Twitter in this class, but Twitter is where a lot of DH and non-DH academic conversation happens these days.
Assignment: Basic HTML & CSS

Module 1: Discussion Starters

Assignment: Video or audio recording of a team discussion. See the module for details!
Assignment: Working with Data

Module 2: Humanities, Digitally

Assignment: Data Critique
Assignment: Data Cleaning

Module 3: Reading Data

Everyone

An overview of what measuring and representing data means:

Grad
Assignment: Intro to Colabs
Assignment: Intro to Observable

Module 4: Getting Data

Assignment: API Request Colabs
Assignment: Web Scraping Colabs
Assignment: Georeferencing Colabs
Assignment: Gender Inference

Module 5: Using Data

Everyone

This looks like a lot of reading this week, but each individual chapter is fairly short!

Basic vocabulary and orientation to reading different kinds of charts:

Understanding and reading different kinds of charts

Grad
Assignment: Intro to Tableau

Module 6: Breather

Module 7: Networks

Everyone
Grad

Assignment: Networks Colab (optional)

Assignment: Networks Observable (optional)

Module 8: Maps

Everyone
Grad
  • Rose-Redwood, Reuben, Natchee Blu Barnd, Annita Hetoevėhotohke’e Lucchesi, Sharon Dias, and Wil Patrick. “Decolonizing the Map: Recentering Indigenous Mappings.” Cartographica: The International Journal for Geographic Information and Geovisualization 55, no. 3 (September 1, 2020): 151–62. https://doi.org/10.3138/cart.53.3.intro.
  • Cameron Blevins, Space, Nation, and the Triumph of Region: A View of the World from Houston, Journal of American History, Volume 101, Issue 1, June 2014, Pages 122–147, https://doi.org/10.1093/jahist/jau184
Assignment: Tableau Maps

Module 9: Work

Module 10: Work

Module 11: Work

Module 12: Work

Module 13: UnConference

Final Project