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=Background=
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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 (by now) clear race component.
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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.
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Finally, there is a clear gender component to data protection.
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=Why?=
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The main topic here is in asking how history of the feminist movement, and navigating these intersectionalities, can inform PersonalData.IO's activism.
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=Questions=
 
=Questions=
* What lessons can data protection activists draw from the feminist movement?  
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What lessons can data protection activists draw from the feminist movement? Examples:  
Examples:  
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* What does a women's strike look like?  
** What does a women's strike look like?  
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* Is a sex strike a good analogy?  
** Is a sex strike a good analogy?  
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* What are the different levels of such strike?
** What are the different levels of such strike?
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* What do you target such a strike at?
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* Would it make more sense to reach out to a different audience that "women"? (e.g. "genderqueer")
    
=Events=
 
=Events=
 
* [http://criticallegalthinking.com/2019/04/10/cfp-workshop-on-feminist-data-protection-berlin-20-nov-2019/ Berlin workshop], November 20th 2019
 
* [http://criticallegalthinking.com/2019/04/10/cfp-workshop-on-feminist-data-protection-berlin-20-nov-2019/ Berlin workshop], November 20th 2019
 
=References=
 
=References=
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* [https://www.newstatesman.com/politics/feminism/2019/03/london-based-angry-feminists-over-30-why-we-need-talk-about-sexism-online]
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* [https://medium.com/codingrights/the-ability-to-say-no-on-the-internet-b4bdebdf46d7 ability to say no]
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* [https://en.wikipedia.org/wiki/Lysistrata Lysistrata]
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* [https://privacyinternational.org/blog/2458/reclaiming-privacy-feminist-manifesto Reclaiming privacy feminist manifesto]
 
* [https://codingrights.org/docs/ConsentToOurDataBodies.pdf Consent to our data bodies]:
 
* [https://codingrights.org/docs/ConsentToOurDataBodies.pdf Consent to our data bodies]:
 
** lessons from feminist theories to enforce data protection
 
** lessons from feminist theories to enforce data protection
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** "Therefore, as context is crucial to consent, we have to accept its fluid nature, which is something that the #TimesUp movement has brought into public debate: “Context is crucial to consent, we can change our opinion over time depending on how we feel in any given moment and how we evaluate the situation” (Carmi, 2018)."
 
** "Therefore, as context is crucial to consent, we have to accept its fluid nature, which is something that the #TimesUp movement has brought into public debate: “Context is crucial to consent, we can change our opinion over time depending on how we feel in any given moment and how we evaluate the situation” (Carmi, 2018)."
 
* [https://bookbook.pubpub.org/data-feminism Data feminism book]
 
* [https://bookbook.pubpub.org/data-feminism Data feminism book]
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* [https://www.jstor.org/stable/27755202?seq=1#page_scan_tab_contents European discrimination laws and additive vs intersectional discrimination]
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