This half day workshop is for any students interested in creative methods and co-creation in their PhD research design. The first session will focus on defining co-creation and discussing common questions around methodology, rigour, ethics and analysis. The second session will involve a mini workshop to build attendee confidence in gathering and reflecting on co-created or creative data.

This event will train users in the Shiny package using R to create their own open-source survey and questionnaire instruments for their own research needs and interests. Unlike alternative survey creation tools, Shiny allows the researcher complete fluid control over their survey creation. This training is suitable for both quant and qual researchers alike that wish to provide greater flexibility and control over their survey/questionnaires.

At this training, you will experiment with how to tell stories using creative techniques and learn about why storytelling is important for research. Based on this experience, you will decide how to apply storytelling to your research. This training is for current and future qualitative and quantitative researchers.

Have you thought about the idea of conducting a co-creation workshop with remote participants from around the world, using tools like Miro to facilitate the process? This workshop aims to sharing the experience of organising and running an online co-creation workshop by Miro from the very beginning.

This face-to-face workshop is about ethnography and the wonders, dramas, and challenges of doing an ethnographic PhD project. Our hope is that you will be able to experience some of this in the workshop and leave feeling better equipped to embark on your own ethnographic project.

An introduction focused on arts-based data creation using an adapted photovoice methodology. This session will provide an overview of photovoice and discuss how other arts-based methods can be incorporated. A hands on element will provide attendees with the opportunity to engage with the co-analysis process using the systematic visuo-textual analysis framework.