(Non)negotiable spaces of algorithmic governance: Perceptions on the Ubenwa health app as a ‘relocated’ solution

Masso, Anu; Chukwu, Martha; Calzati, S.

doi:10.1177/14614448221079027

(Non)negotiable spaces of algorithmic governance

Title

(Non)negotiable spaces of algorithmic governance: Perceptions on the Ubenwa health app as a ‘relocated’ solution

Author

Masso, Anu (Tallinn University of Technology; University of Tartu)
Chukwu, Martha (Tallinn University of Technology)
Calzati, S. (TU Delft Urban Data Science)

Date

2022

Abstract

This study explores relocated algorithmic governance through a qualitative study of the Ubenwa health app. The Ubenwa, which was developed in Canada based on a dataset of babies from Mexico, is currently being implemented in Nigeria to detect birth asphyxia. The app serves as an ideal case for examining the socio-cultural negotiations involved in re-contextualising algorithmic technology. We conducted in-depth interviews with parents, medical practitioners and data experts in Nigeria; the interviews reveal individuals’ perceptions about algorithmic governance and self-determination. In particular, our study presents people’s insights about (1) relocated algorithms as socially dynamic ‘contextual settings’, (2) the (non)negotiable spaces that these algorithmic solutions potentially create and (3) the general implications of re-contextualising algorithmic governance. This article illustrates that relocated algorithmic solutions are perceived as ‘cosmopolitan data localisms’ that extend the spatial scales and multiply localities rather than as ‘data glocalisation’ or the indigenisation of globally distributed technology.

Subject

(big) data
Algorithms
birth asphyxia
governance
interoperability
interview
mHealth
Nigeria
social context
social space