Blog Post due by Friday, June 9th:

Suggested prompt: Now that you’ve had a (brief) introduction to digital scholarship, write about what the concept of digital scholarship means to you.

-OR-

Post your project charter (or a portion of it).

Monday, June 5th

Readings:

Rockwell, Geoffrey and Stefan Sinclair. “The Measured Words: How Computers Analyze Text” from Hermeneutica.

Now Analyze That! Comparing the Discourse on Race

9:00 AM – 12:00  PM DSC

2:00  PM – 4:00 PM DSC
  • Lesbian and Gay Liberation of Canada project video with Connie Crompton, Assistant Professor of Digital Humanities, Critical Studies at UBC Okanagan

For tomorrow: Register and download 30-day trial license for Oxygen. Take a look at one of the TEI projects listed and analyze the project using our evaluation criteria.

Tuesday, June 6th

9:00 AM – 12:00 PM DSC
1:00 PM – 4:00 PM DSC
  • TEI continued
  • 3-4: Meet with Research Services Staff (Research Services Offices)
    • Tyler Candelora – Nancy Frazier
    • Justin Guzman – Jason Snyder
    • Rennie Heza – Ben Hoover
    • Minglu Xu – Jill Hallam-Miller

For tomorrow: Identify a document related to your research to mark-up.

Wednesday, June 7th

9:00 AM – 12:00 PM DSC
1:00 PM – 4:00 PM DSC

Readings:

Underwood, Ted. “Topic Modeling Made Simple Enough.”

Thursday, June 8th

1:00 PM – 4:00 PM DSC

Homework for Monday 6/12:  In week three, we’ll be discussing data visualization. To be able to create effective data visualizations, it’s important for you to develop your visual literacy skills. On Monday, June 12th, you’ll have the opportunity to develop and apply evaluative criteria to various visualizations.

On Monday morning, please be prepared to share three data visualizations that you’ve found. Your visualizations may be on websites (have the URLs!) or they may be printed copies of something you found in a book, magazine, or newspaper. Ideally, each of you will bring at least one visualization that you think is “good,” and at least one that you think is “bad.” The third can be good, bad, a combination of good and bad, or one that you’re just not sure about. Your visualizations do not need to be related to your projects, but they can be about topics that are of interest to you.

For Next week (before Tuesday’s session): Install Tableau Public on your computers