Abstract
Microbiome science has highlighted human and microbial interdependency, offering a radical epistemic shift from the individualistic view of the human body and self. Research has accordingly offered to see humans as ‘homo-microbis’ – complex biomolecular networks composed of humans and their associated microbes. While social scientists have begun to address microbiome science, the proliferation and commodification of the homo-microbial episteme have largely been overlooked. Based on an ethnographic account of a research project that offered microbiome-based personalised nutrition and the successful start-up that emerged from it, this article examines the emergence, proliferation, and commodification of the homo-microbial body. We show that this episteme necessarily depends on opaque machine learning algorithms; that the microbiome is paradoxically seen as a data-driven individuating marker; and that homo-microbis is, in fact, also a homo-algorithmicus – a being that can only access its non-human sub-parts by blindly following opaque algorithmic recommendations in an app.
Original language | English |
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Pages (from-to) | 81-108 |
Number of pages | 28 |
Journal | Body and Society |
Volume | 29 |
Issue number | 3 |
DOIs | |
State | Published - Sep 2023 |
Bibliographical note
Publisher Copyright:© The Author(s) 2023.
Keywords
- algorithms
- artificial intelligence
- microbiome
- nutrition
- personalisation
- self
ASJC Scopus subject areas
- Social Psychology
- Health(social science)
- Cultural Studies