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Critical data studies denounce that heteronormative formalisations of sex/gender identity obscure queer lives from datasets and computational processes.Since sex/gender categories cannot convey nonbinarity and multiplicity, this project addresses the inherent tension between queerness and systematisation with an anticategorical quantitative visual approach, combining psychometric scales with visualisations of the gender spectrum.Indeed, using queer and feminist methodologies, we propose a new data structure resulting from the codesign of an interactive visualisation of the gender spectrum, made in an iterative dialogue with gender-diverse people.Our contribution is twofold: an inclusive data structure for the selfassessment of sex/gender identity, and an interactive visualisation,
Simeoni et al. (Sat,) studied this question.