schedule.md

Current Class-by-Class Schedule

Introduction and Overview

1/14 – Course Overview

1/16 – Some current examples

• HW 0 Due:

  • Install Anaconda <-- You want the Python 3.7 version
  • Work through this intro to Jupyter notebook and these and these intro to Python notebooks: counting, expressions and strings, lists, and dictionaries, sets, and tuples

• In class: job applicant screening exercise (notebook and data)

Unit 1: Data, Feminism, and Power

1/21 – Feminism

• Read:
  • D’Ignazio and Klein, Data Feminism, introduction (pp. 1-20) (Canvas)
  • Combahee River Collective, Combahee River Collective Statement
  • Cathy O’Neil, “Civilian Casualties” (Canvas)

1/23 – Feminism

• HW 1 Due: Positionality statement
• In class: intersectional survival analysis exercise (notebook and data)

1/28 – Power

• Read:
  • D’Ignazio and Klein, Data Feminism, ch 1 (pp. 21-48) (Canvas)
  • Joy Buolamwini and Timnit Gebru, “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification"
  • Ishan Misra et al., “Seeing through the Human Reporting Bias"

1/30 – Power

• Read:
  • D’Ignazio and Klein, Data Feminism, ch 2 (pp. 49-72) (Canvas)
  • Julia Angwin et al., “Machine Bias”
  • Ben Green and Yiling Chen, “Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments”

2/4 - Power

• HW 2 Due: On discriminatory AI
• In class: Replication of COMPAS audit (notebook and data)

2/6 - Power

• HW 3 Due: On "Missing Data"
• In class: counterdata collection exercise (led by Ezra Goss, Georgia Tech)

2/11 - Intro of Final Project

• Read: Ruha Benjamin, “Retooling Solidarity, Reimagining Justice” (Canvas)
• In class: final project brainstorm

Unit 2: Concepts, Models, Methods

2/13 – Emotion and Embodiment

• Read:
  • D’Ignazio and Klein, Data Feminism, ch 3 (pp. 73-96) (Canvas)
  • Donna Haraway, “Situated Knowledges: The Science Question and the Privilege of Partial Perspective” (Canvas)
  • Jessica Hullman and Nicholas Diakopoulous, “Visualization Rhetoric: Framing Effects in Narrative Visualization” (Canvas)

2/18 – Emotion and Embodiment

• Before class: download and install BOTH the Arduino IDE and the Processing IDE
• In class: data visceralizaiton exercise (led by Sarah Schoemann, Georgia Tech) lab files and, if you're curious, more on sentiment analysis

2/20 – No class meeting. Dr. Klein at UCLA.

• HW 4 Due: Final Project Proposal

2/25 - Binaries and Hierarchies

• Read:
  • D’Ignazio and Klein, Data Feminism, ch 4 (pp. 97-124) (Canvas)
  • Sasha Costanza-Chock, “Design Justice, AI, and Escape from the Matrix of Domination”
  • Os Keyes, “Misgendering Machines” (Canvas)

2/27 – Binaries and Hierarchies

• In class: categories of data collection exercise

3/3 – Pluralism

• Read:
  • Read: D’Ignazio and Klein, Data Feminism, ch 5 (pp. 125-148) (Canvas)
  • Anti-Eviction Mapping Project, “(Dis)loctation/Black Exodus”
  • Matthew Desmond and Carl Gershenson, “Who gets evicted? Assessing individual, neighborhood, and network factors”

3/5 - Pluralism

• HW 5 Due: Final Project Dataset
• In class: data-listening exercise (details TBD)

[ EMORY SPRING BREAK ]

Unit 3: Practices, Praxes, Futures

3/17 – Context

• Read:
  • D’Ignazio and Klein, Data Feminism, ch 6 (pp. 149-172) (Canvas)
  • Nikhil Garg et al, “Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes”
  • Philipp Blandfort et al, “Multimodal Social Media Analysis for Gang Violence Prevention”

3/19 – Context

• HW 6 Due: Final Project Datasheet
• In class: custom Tweet classifier exercise

3/24 – Labor

• Read:
  • D’Ignazio and Klein, Data Feminism, ch 7 (pp. 173-202) (Canvas)
  • Kate Crawford and Vladan Joler, "Anatomy of an AI”
  • Miriam Posner, “The Software that Shapes Workers’ Lives”

3/26 - Labor

• HW 7 Due: Final Project, first pass
• In class: exercise TBD

3/31 – Organizing

• Read:
  • D’Ignazio and Klein, Data Feminism, conclusion (pp. 203-214) (Canvas)
  • Margaret Mitchell et al., “Model Cards for Model Reporting”
  • Nataliya Nedzhvetskaya and JS Tan, “What we’ve learned from over a decade of tech activism” (and explore database)
  • Yeshimabeit Milner, “Abolish Big Data” (read book excerpt and watch video 1 and video 2)

4/1 - No class. Professor at conference.

Unit 4: Final Projects and Course Wrap-Up

4/7 – Catch-up day

• HW 8 Due: Final Project, final roadmap

4/9 - Project presentations

• Optional: Attend Dr. Klein’s talk at Georgia Tech (noon-1pm; with free lunch!) and/or reading at Charis Books (7:30-9pm).

4/14 - Project presentations

4/16 - Project presentations

4/21 - No class. Professor at Columbia.

4/23 - Course wrap-up and reflection

Final projects due Thursday, April 30th, 10:30am