This one-day workshop will engage PhD students in methodological training for queering data in science, technology, innovation, and healthcare research and practice. The event is aimed at PhD students at any stage and will be particularly useful for students at both pre-data collection and ongoing data collection stages.
The morning will start with short presentations by the workshop leads, including an introduction to queer data research and practice, and a guest speaker working in data and innovation, who will pose real-world problems for PhD students to tackle in the workshop remainder. After lunch, students will use case studies to learn, employ and create ‘queer’ data practices in small groups, including applying issues of normativity to data science.
Students will be supported by the guest speaker and workshop leads through regular sharing and collective problem solving.
Students will explore the difference(s) between perspective, embodiment, and action within data science and innovation, through the lens(es) of healthcare infrastructures, to determine pathways for studying and creating queer technological change within e.g. existing NHS digital systems. Students will develop critical thinking and problem-solving skills that they can employ in their doctoral and professional work. At the end, students will share individual and group examples of queer(ing) data practices and discuss how they will implement their learning in their ongoing research.
This session takes place in the Usher Building at BioQuarter. Accessibility information is available here. Please indicate any further accessibility needs in your registration form.