Publications

The aim of the sociological research was to map patients' experiences with the use of various types of diabetes loops – advanced technologies that use personalized algorithms to automate blood glucose measurement and insulin delivery. The research focused on everyday user practices that are not usually covered in available technical manuals. The research combined qualitative and quantitative methods. A total of 36 semi-structured interviews (a total of 69 hours of recorded data) were conducted with patients…

This article draws on the findings of ongoing ethnographic research to examine the use of self-tracking devices and the embodiment of numerical data in type 1 diabetes (T1D) and obesity (self)care. We engage the notion of industrial and post-industrial metabolism as proposed by Hannah Landecker (2013) to explore the technologically mediated, more-than-human dynamics of metabolic health. While studies tend to depict self-monitoring devices as reinforcing a rigid, mechanistic, and control-obsessed approach to bo…