Can we queer gender data?

What is it about?

Technologies understand gender through their language, which is data. So how should algorithms read, quantify, and codify nonbinary gender identities? How would we teach genderqueerness to an AI model? What data structure could reflect the complex system of queer gender identities? How can we create a shared understanding of genderqueerness between machines and humans? Querying the Quantification of the Queer presents two data-driven visualisations of the gender spectrum — the Gender Flower and Diamond — to datafy queer genders in a nonbinary and multiplicitous computational system.

Featured Image

Photo by Rob Maxwell on Unsplash

Photo by Rob Maxwell on Unsplash