Workshop: Queer Data: Methods, Approaches, and What is Queer Social Research Anyway?
Friday 13th February 2026, 10am - 12pm
Seminar Room, Department of Sociology, Park End Street
Speaker: Kevin Guyan, University of Edinburgh
How do our methods of data collection and analysis impact on the populations we study? What does it mean to use queer methods for social research? Are queer methods only for studying LGBTIQ+ people?
This workshop for students and early career researchers using, or interested in using, queer methods for social science research, aims to explore what it means to queer our data and methods, and how we can think about social research and the impact our work can have on marginalised populations. The event begins with a keynote and Q&A from Dr Kevin Guyan. We then have time for participants to present their work in progress and ongoing research for discussion feedback.
This workshop is for anyone interested in considering how we collect data, and what it means for the populations we work with, whether you work directly with LGBTIQ+ populations, or are looking to bring queer methodologies to the study of broader social questions.
Would you like to present at the workshop?
We are looking for 3 people to give a 10 minute presentation on their current research, followed by a discussion. You can be at any stage of your career, and any discipline. You may be researching LGBTIQ+ populations in a range of contexts, or using queer methods to explore broader questions in social science.
We will confirm you participation by Friday 6th February.
Kevin will also be available from 2pm - 4pm for 1-2-1 or small group discussions with students, please contact him directly
If you would be interested in presenting your work please submit a short abstract here by Friday 30th January, and we'll confirm by Friday 6th February.
Kevin is also available from 2pm-4pm for one-to-one or small group discussions with students. Please contact him directly [
kevin.guyan@ed.ac.uk] if you are interested.
Biography:
Queer Intersections Oxford, TORCH Networks