Fe Simeoni

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Fe Simeoni

Datafying Mixed Social Identities: Nonbinarity as the Complementary of Intersectionality

Capturing mixed social identities through categorical data presents significant challenges. Nonbinarity provides a conceptual, computational, and visual framework for reimagining social identities beyond binary oppositions...
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Fe Simeoni

Querying the Quantification of the Queer: A New Data Structure for Gender Spectra

As long as binary designations continue to be used, queer individuals will be misrepresented. Here's a redesigned gender data structure.
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Fe Simeoni

Acnephobic: Faces for a Feminist Data Practice

Data visualizations use symbols as a tool to represent a subject. They interpret, simplify, and synthesize – often in a manner detached from the physical..