Thread by @WomenInStat

There are 7 core principles of #DataFeminism:

1. Examine Power
2. Challenge Power
3. Elevate emotion and embodiment
4. Rethink binaries and hierarchies
5. Embrace Pluralism
6. Consider Context
7. Make labor visible

Principle 1: Examine Power

"#DataFeminism begins by analyzing how power operates in the world."

data-feminism.mitpress.mit.edu/pub/vi8obxh7/r…

Principle 2: Challenge Power

"#DataFeminism commits to challenging unequal power structures and working toward justice."

data-feminism.mitpress.mit.edu/pub/ei7cogfn/r…

Principle 3: Elevate Emotion and Embodiment

"#DataFeminism teaches us to value multiple forms of knowledge, including the knowledge that comes from people as living, feeling bodies in the world."

data-feminism.mitpress.mit.edu/pub/5evfe9yd/r…

Principle 4: Rethink Binaries and Hierarchies

"#DataFeminism requires us to challenge the gender binary, along with other systems of counting and classification that perpetuate oppression."

data-feminism.mitpress.mit.edu/pub/h1w0nbqp/r…

Principle 5: Embrace Pluralism

"#DataFeminism insists that the most complete knowledge comes from synthesizing multiple perspectives, with priority given to local, Indigenous, and experiential ways of knowing."

data-feminism.mitpress.mit.edu/pub/2wu7aft8/r…

Principle 6: Consider Context

"#DataFeminism asserts that data are not neutral or objective. They are the products of unequal social relations, and this context is essential for conducting accurate, ethical analysis."

data-feminism.mitpress.mit.edu/pub/czq9dfs5/r…

Principle 7: Make Labor Visible

"The work of #DataScience, like all work in the world, is the work of many hands. #DataFeminism makes this labor visible so that it can be recognized and valued."

data-feminism.mitpress.mit.edu/pub/0vgzaln4/r…