Ice in the shape of a shark fin emerges from a snow field, sunlight filtering through wisps of clouds in the background. Is ice a sort of historical water calendar?

Calendars

This course will introduce you to broad aspects of modern digital literacies so that you can develop a critical stance when working in digital environments. You will also gain experience within those environments as you digest and construct materials throughout the semester. The calendars below provide an overview of the topics we will discuss, as well as the readings and activities designed to support our work. A complete, integrated calendar is available as a Numbers spreadsheet; note that it might be difficult to read on a mobile device.

Readings (Homework) Calendar

Unit/Topic/WeekReadings
Sep 5–8
Course Rationale and Plan
Read both:

Privacy

Sep 11–15
Adhesion Contracts
Choose one:
Sep 18–22
Legal Protections
Sep 25–29
Behavioral Profiling
Read both:

Surveillance

Oct 2–6
Capitalist Origins
Read both:
Oct 9–13
Algorithmic Prediction
O’Neil, C. (2017). Weapons of math destructionSaturday Evening Post, 289(2), 40–90.
Oct 16–20
Power, Privilege, Choice
Read both:Optional: Any short film from the Screening Surveillance site

Identity

Oct 23–27
Content Personalization
Choose one:
Oct 30 – Nov 3
Digital Redlining
Read both:
Nov 6–10
Facial Recognition
Buolamwini, J. (22 June 2018). The hidden dangers of facial analysisThe New York Times.

Resistance

Nov 13–17
Technical Resistance
Choose one:
Thanksgiving Week (Nov 20–24)
Nov 27 – Dec 1
Legal Resistance
Read both:
• McKenna, A. T. (29 June 2023). US agencies buy vast quantities of personal information on the open marketThe Conversation.
• A related article of your choosing that offers substantive material to your discussion.
Dec 4–8
Social Resistance
Read both:

Book Report Topics

In our first class session, everyone in class will sign up for our book-report project. You’ll be responsible for presenting the book to the class and leading that week’s relevant discussion. Details are on the assignments page. Most books below are available directly from the NTLC; those that aren’t can be requested through Inter-Library Loan or purchased at any bookseller.

WeekBookPresenter

Privacy

Sep 11–15
Adhesion Contracts
Lipton, J. D. (2022). Our Data, Ourselves: A Personal Guide to Digital Privacy. Univ of California Press.Jonena
Sep 18–22
Legal Protections
Solove, D. (2011). Nothing to hide: The false tradeoff between privacy and security. New Haven, CT: Yale UP.
Sep 25–29
Behavioral Profiling
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.Julie

Surveillance

Oct 2–6
Capitalist Origins
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: NY: Public Affairs.
Oct 9–13
Algorithmic Prediction
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.
Oct 16–20
Power, Privilege, Choice
One from:Jasmine

Identity

Oct 23–27
Content Personalization
McGuigan, L. (2023). Selling the American People: Advertising, Optimization, and the Origins of Adtech. MIT Press.
Oct 30 – Nov 3
Digital Redlining
Benjamin, R. (2020). Race after technology: Abolitionist tools for the new Jim Code. Oxford.Cindy
Nov 6–10
Facial Recognition
Buolamwini, J. (2023). Unmasking AI: A story of hope and justice in a world of algorithms. Random House. [Available Nov 7.]Friend

Resistance

Nov 13–17
Technical Resistance
One from:Gianna
Nov 27 – Dec 1
Legal Resistance
One from:Jonathan
Dec 4–8
Social Resistance
One from:

Schedule of Major Papers

Major deadlines appear below; details about the assignments are on the Assignments page of this site.

WeekAssignment
4 (Sep 25–29)Synthesis 1
7 (Oct 16–20)Synthesis 2
10 (Nov 6–10)Synthesis 3
13 (Dec 4–8)Synthesis 4
Exams (Dec 18–22)Final Project