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data feminism
eg feminist data set by Caroline Sinders https://carolinesinders.com/feminist-data-set/
STEM work by and for underrepresented minorities
data science as a newer form of power
empirically wrong data categorisation, incorrect and unjust binaries
data visualisation datasets that are skewed, incomplete or lack diverse representation
medical studies historically exclude black women
data collection on trans people very poor
i’ve seen a bunch of papers on this i just haven’t got round to cataloguing them here
data witnessing
Mentions
“All data is historical data, the product of a time, place, political, economic, technical and social climate. If you are not considering why your data exists and other datasets don’t, you are doing data science wrong.” — Melissa Terras (quoted in How AI Image Generators Make Bias Worse )
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