The mission of the Gender + Sexuality Data Lab builds on ideas from Guyan’s published work on queer encounters with data practices, categories and classifications.

Rainbow Trap: Queer Lives, Classifications and the Dangers of Inclusion

Rainbow Trap Book Cover

Rainbow Trap reveals how the fight for LGBTQ equalities in the UK is shaped – and constrained – by the classifications we encounter every day.

Looking across six systems – the police and the recording of hate crimes; dating apps and digital desire; outness in the film and television industry; borders and LGBTQ asylum seekers; health and fitness activities; and DEI initiatives in the workplace – Rainbow Trap documents how inclusive interventions – such as new legislation, revamped diversity policies and tech fixes – have attempted to bring historically marginalized communities out of the shadows.

Yet, as part of the bargain, LGBTQ people need to locate themselves in an ever-growing list of classifications, categories and labels to 'make sense' to the very systems they are seeking to access. This requirement to be classified catches LGBTQ communities in a rainbow trap. Because when we look beyond the welcoming veneer of inclusive interventions, we uncover sorting processes that determine what LGBTQ lives are valued and what queer futures are possible.

Published:
2025

Queer Data: Using Gender Sex and Sexuality Data for Action

Queer Data Book Cover

Data has never mattered more. Our lives are increasingly shaped by it and how it is defined, collected and used. But who counts in the collection, analysis and application of data?

This important book is the first to look at queer data – defined as data relating to gender, sex, sexual orientation and trans identity/history. The author shows us how current data practices reflect an incomplete account of LGBTQ lives and helps us understand how data biases are used to delegitimise the everyday experiences of queer people.

Published:
2022