Hi there!

Welcome to the CURSOR Data Feminism Study-along. We will be following a slightly modified version of the course syllabus from the Data Feminism course, held at MIT by Lauren F. Klein, co-author of the book ‘Data Feminism’. The goal is to explore the topic and simultaneously learn some coding to get started!

You are always welcome to skip to what you find interesting or have time for - for example, you might prefer treating this as a reading club only, or have already read Data Feminism and want to refine your coding skills. All levels of coding (incuding level 0) are welcome.

At the end of each week, we will host a small discussion group on Discord where you can reflect. You are of course welcome to use the chat during the week too.

https://widgetbox.app/embed/button/simple/HmsNjx9UCrcbgLQQeJSvyx?flag=true

Navigation

Read Data Feminism

Join the Discord

https://discord.com/widget?id=1014642737439580240&theme=dark

Contact (questions/suggestions)

[email protected]

Original curriculum

https://github.com/laurenfklein/feminist-data-science

The CURSOR study-along is “moderated” by me, Anna (she/her). I’m always happy to answer any questions or take suggestions, and you can reach me on [email protected]!

Introduction

The course will run from 26th September to 27th November, but there are no set deadlines and you are of course welcome to continue beyond.

The original course is split into four units with readings, homework, and an end project. We have decided to focus on completing one Data Feminism chapter and one coding exercise for each week (the other readings are included in the toggle, in case you are interested).

Since the original course only includes three coding exercises, the rest are ones we have found online and are inspired from the content - any suggestions, comments, and modifications are more than welcome!

The last two weeks we will focus on project ideas inspired by the course. CURSOR is all about imaginative futures, so these could span from practical coding projects to manifestos. If you feel inspired to bring any of them to life, feel free to find likeminded people and use the Discord too!

Practical

To do the exercises, you will need to install Python and Jupyter Notebook. If you have never used either, here are some exercises to get you started:

Jupyter Notebook & Python intro

Counting things

Expressions and strings

Dictionaries, sets, tuples

Curriculum

W1: Feminism

👉 Introduction

feminist-data-science/notebooks/lab1-hiring at master · laurenfklein/feminist-data-science

W2: Power

👉 Chapter 1

feminist-data-science/notebooks/lab2-survival at master · laurenfklein/feminist-data-science

W3: Power II

👉 Chapter 2

feminist-data-science/notebooks/lab3-compas at master · laurenfklein/feminist-data-science

W4: Emotion & embodient

👉 Chapter 3

W5: Binaries & hierarchies

👉 Chapter 4

feminist-data-science/lab6-AGR-gender-audit-inclass.ipynb at master · laurenfklein/feminist-data-science

W6: Pluralism

👉 Chapter 5

W7: Context

👉 Chapter 6

W8: Labour

👉 Chapter 7

W9: Organising

👉 Conclusion

The last two weeks we would like you to develop your own project! It can be a smaller exercise in collecting, cleaning, and analysing data, or something bigger that expands beyond. If you want to start a plan for a bigger project (or even start coding), we’d love to hear your project ideas in the Discord!

Other readings + resources