Required readings:
Data Feminism, by C. D’Ignazio & L. F. Klein (MIT Press, 2020).
Machine Habitus: Toward a Sociology of Algorithms, by Massimo Airoldi (Polity Press, 2021).

Schedule of topics:
Week 1. M 8/28, 6:30PM Introduction to the course.

No classes on M 9/4.

Section I. Data Feminism
Week 2. M 9/11, 6:30PM What is data feminism?
Read: Data Feminism, Introduction, 1.
Do: Assignment 1, Learning Goals.

Week 3. M 9/18, 6:30PM Challenge power. Elevate embodiment.
Read: Data Feminism, 2-3.
Do: Turn in learning goals.
Do: Assignment 2.

No classes on M 9/25.

Week 4. M 10/2, 6:30PM Rethink binaries. Embrace pluralism.
Read: Data Feminism, 4-5.
Do: Assignment 3.

Week 5. **T 10/10, 6:30PM Consider context. Make labor visible.
Read: Data Feminism, 6-7.
Do: Assignment 4.

Conversion day, T 10/10.

Week 6. M 10/16, 6:30PM Synthesis.
Read: Data Feminism, Conclusion & Appendices.
Do: Assignment 5.

Section II. The Data Landscape
Week 7. M 10/23, 6:30PM
Read: Machine Habitus, Preface, 1-2.
Do: Survey research. Proposal due.

Week 8. M 10/30, 6:30PM
Read: Machine Habitus, 3-4.
Do: Public Use Census Data. Assignment 6.

Week 9. M 11/6, 6:30PM
Read: Machine Habitus, 5.
Do: Researching Mass Media Texts.

Week 10. M 11/13, 6:30PM
Do: More on Mass Media.

Week 11. M 11/20, 6:30PM
Do: Content coding methods. Assignment 7.

Week 12. M 11/27, 6:30PM
Tonight, we’ll discuss latent structure analysis with text data. Do: Latent structure analysis.

Week 13. M 12/4, 6:30PM
Social media as public discourse, parts one and two.

Researching Twitter: Getting tweets as data, analyzing tweet data.

Week 14. M 12/11, 6:30PM
Network Analysis. Do: Assignment 8.
Project draft due.

Part III. Reflecting on Data
Week 15. M 12/18, 6:30PM
Do: Reflection on the course and learning goals.
Do: Final project due Friday, 12/22.