9 June 2025

The Gender + Sexuality Data Lab collaborated with AI Ethics & Society and Pride in STEM on a first-of-its-kind data event.
Person playing saxophone inside in a darkened room
Katherine Wyers. Credit Daniel McGowan Photography

Current conversations about LGBTQ communities and data tend to focus on exclusion and erasure. Whether it’s questions in a diversity monitoring form, legal rulings on ‘who counts’ as a woman, or the biases and stereotypes that LGBTQ face when navigating tech systems such as generative AI.

The Queer Data Showcase – which took place on 5 June 2025 at the Pleasance, Edinburgh – sought to shift the narrative and put LGBTQ people at the centre of the conversation.

Hosted by Edinburgh drag icon Mystika Glamoor, the Showcase brought together a curated selection of artists, academics and activists working on projects related to ‘queer data’ – in other words data about or for LGBTQ communities.

Drag icon presenting on stage at the The Queer Data Showcase
Mystika Glamoor. Credit Daniel McGowan Photography

The Showcase featured seven short contributions from people engaged in a variety of queer-led data projects, including everything from a multimedia jazz improv to queer time machines. Sharing work were Rodrigo Tadeu Guimarães Jales, JT Welsch, Meg Fereday, Jess Parris Westbrook, Zosia Kuczynska, Kim Foale and Katherine Wyers.

There’s a real hunger right now to change the conversation about LGBTQ data. Too often, politicians, courts and data systems tell queer people what box to occupy – we need to lead the design of data systems, not the other way round. We hope the Showcase provided an opportunity to highlight exciting queer-led data projects and for everyone to come together to have some fun with data.
Kevin Guyan, Director of the Gender + Sexuality Data Lab and co-organiser of the Showcase

The Showcase was co-organised by the Gender + Sexuality Data Lab, AI Ethics & Society and the charity Pride in STEM.

Recording

Watch a recording of Rodrigo Tadeu Guimarães Jales' contribution to the Queer Data Showcase.