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. When applied beyond gender to domains such as language, culture, or ethnicity, nonbinarity reveals the complex and sometimes contradictory ways individuals experience social belonging. In this way, it complements intersectionality by expanding the analytical lenses available for operationalising identities into data and spot patterns of discrimination.
Editors’ Choice: Datafying Mixed Social Identities: Nonbinarity as the Complementary of Intersectionality
