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=Why?=
+=Background=
Data protection activism, particularly efforts against profiling and unaccountable automated decision-making, has an [https://en.wikipedia.org/wiki/Intersectionality intersectional dimension].
Data protection activism, particularly efforts against profiling and unaccountable automated decision-making, has an [https://en.wikipedia.org/wiki/Intersectionality intersectional dimension].
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There is a class component: negative effects increase on the poor. This is often narrowly conceived around privacy ("the rich can buy their privacy"), but there is a broader link: gig work for instance leverages extensively automated decision-making.
There is a class component: negative effects increase on the poor. This is often narrowly conceived around privacy ("the rich can buy their privacy"), but there is a broader link: gig work for instance leverages extensively automated decision-making.
−Finally, there is a gender component, which should be explored.
+Finally, there is a clear gender component to data protection.
+=Why?=
+The main topic here is in asking how history of the feminist movement, and navigating these intersectionalities, can inform PersonalData.IO's activism.
+=Questions=
=Questions=
What lessons can data protection activists draw from the feminist movement? Examples:
What lessons can data protection activists draw from the feminist movement? Examples: