Location
Health Science Building, 155 College Street, Room 124 A&B
Series/Type
Dates
  • March 10, 2016 from 12:00pm to 1:30pm

Speaker: Manuela Ferrari, MHSc, PhD, Post-Doctoral Fellow, Department of Psychiatry and Behavioural Neurosciences, McMaster University

Description: Qualitative researchers gather stories to understand how people make sense of events and, more broadly, their lived experience. Analyzing stories is complex as they operate alongside other stories and are shaped by context and structural forces. This presentation is based on critical lessons gained through a knowledge dissemination project that examined access to care for people who experienced psychosis: Re-Tracing ACE Pathways to Care in First-Episode Psychosis. The Re-Tracing Project used digital storytelling, as knowledge dissemination method, to capture the complexity, barriers, and subjective experiences of the journeys to, and first encounters with care. Digital stories are three- to five-minute videos produced with a mix of voiceover, music, and images to convey first person narratives. The Re-Tracing digital storytelling workshops created a space where storytellers had the opportunity to unpack their own story as well as ‘talk back to’ dominant discourses of access to care and, broadly, “madness.” Workshop participants described the process of making their digital stories as “cathartic” as well as offered them ownership of their experiences and stories – not available in clinical or other settings. Reflecting on my experience as the digital storytelling workshop facilitator and qualitative researcher involved in the project, I will discuss two key aspects of this process: Telling a story and, listening to a story. Throughout the presentation I will discuss, confront, compete with, and resist the act of analyzing a story. I will argue that as the Re-Tracing Project gave participants an opportunity for self-expression and sharing their emotions, memories, and stories using an arts-based medium, it creates unique changes to traditional data analysis.

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