www.katietindle.co.uk
in-grid.io
Inter/Sections 2021
Bodies/technologies
Untitled 2014
Living Data
Making Sense of Health Biosensing
By Celia Roberts, Adrian Mackenzie and Maggie Mort With Mette Kragh-Furbo, Joann Wilkinson and Theresa Atkinson
https://bristoluniversitypress.co.uk/living-data
Untitled, 2015
Workbook 8. 2016
Hi, performed in #INTRODUCTIONS , LaBeouf Rönkkö & Turner Collaboration.
Link to LaBeouf performance.
“motivation”:[], menstrual biosensing as identity construction
Katie Tindle, 2019
Sharon, T. and Zandbergen, D. (2017) ‘From data fetishism to quan-
tifying selves: Self-tracking practices and the other values of data’,
New Media & Society. SAGE Publications, 19(11), pp. 1695–1709. doi:
10.1177/1461444816636090.
Data in these types of self-tracking practices are a new element in an aesthetic and continuous process of identity construction. It is not just used to learn about oneself but also to construct stories about oneself.
(Sharon and Zandbergen, 2017)
Almeida, T. et al. (2016) ‘On Looking at the Vagina through Labella’, in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. San Jose, California, USA: Association for Computing Machinery (CHI ’16), pp. 1810–1821. doi: 10.1145/2858036.2858119.
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Karlsson, A. (2019) ‘A Room of One’s Own?’, Nordicom Review; Gothenburg, 40(s1), pp. 111–123. doi: http://dx.doi.org.gold.idm.oclc.org/10.2478/nor-2019-0017.
Kressbach, M. (2019) ‘Period Hacks: Menstruating in the Big Data Paradigm’, Television & New Media. SAGE Publications, p. 1527476419886389. doi: 10.1177/1527476419886389.
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Manica, D. T. et al. (2017) ‘(In)visible Blood: menstrual performances and body art’, Vibrant: Virtual Brazilian Anthropology. Associação Brasileira de Antropologia (ABA), 14(1). doi: 10.1590/1809-43412017v14n1p124.
Mort, M. and Roberts, C. (2019) Living Data: Making Sense of Health Biosensing. Policy Press.
Pink, S. et al. (eds) (2016) Digital ethnography: principles and practice. Los Angeles: SAGE.
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The apps themselves have also come under criticism for assuming that users are straight, cis gendered and able bodied (Lupton, 2015; Søndergaard, 2017; Kressbach, 2019; Mort and Roberts, 2019), both undermining their own rhetoric of empowerment and the accuracy of their algorithms by not taking into account the experiences of some menstruators.
Finally, some researchers have identified that, more so than the app itself, biosensing practitioners find that real insights and useful advice come from the community of users (Sharon and Zandbergen, 2017; Thomas, Nafus and Sherman, 2018; Mort and Roberts, 2019). When using menstrual apps our own data is often little more than ‘a speck in the larger sea of data’ (Mort and Roberts, 2019) and therefore an individual user is largely disconnected from the rest of the user base.
sleepAffirmation_1.Sleep fluids (lofi, sleep, study, chill)
2020