Abstract

This presentation will share research findings derived from autoethnographic data derived from my PhD study which looks at the interaction between teaching, research and public engagement in STEM education. I will look at the use of embodied movement as part of an autoethnographic research method that was expedited by the COVID19 pandemic as a daily walk during lockdown was permitted within government guidelines for the purpose of exercise. This started out as a lonely walk up a steep drover’s road in one of the most remote parts of North-West Scotland. However, as this process became more embedded into my daily life, I realised that not only did it feed my wellbeing, but it also provided a fertile space to reflect on my research work. Datawalking (van Es and de Lange, 2020) is a pragmatic approach to gather sensory-immersive data, which Amoroso (2021) posits as a counter to epistemic injustice. I will share how this method enhanced my wellbeing as a solo researcher who was disembodied from the academic community as a distance PhD student during the COVID19 pandemic and countered feelings of self-doubt and isolation typically experienced by PhD students (Boncori and Smith, 2019).

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Cite as

Beattie, L. 2022, 'I went up a mountain and came down a hill. Datawalking as a counter to disembodied research during a pandemic', 9th International Conference of Autoethnography , Bristol , United Kingdom , 18/07/22 - 19/07/22. https://research-portal.uws.ac.uk/en/publications/i-went-up-a-mountain-and-came-down-a-hill-datawalking-as-a-counte

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Last updated: 11 October 2024
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