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In this article, I describe my ongoing bioethnographic collaboration with a multidisciplinary team of exposure scientists in environmental engineering and health. First, I explain how and why integrating ethnography and number‐based disciplines is such a complex, time‐consuming, and worthwhile process, when ethnography produces a kind of excessive “big data” that is not easily enumerated. Then I describe three of our current bioethnographic projects that seek to make better numbers about how (1) neighborhoods, (2) water distribution, and (3) employment and chemical exposures shape bodily processes in a highly unequal world. To conclude, I reflect on how we might harness ethnographic excess for making better numbers and thus better knowledge, and also how bioethnographic collaboration inevitably transforms ethnography even as we insist on its excess. [collaboration, methodology, ethnography, big data, biomedical science]

 

In this paper we theorize trust as emerging in different material/infrastructural and epistemic realities as part of our multidisciplinary collaboration about water, called Neighborhood Environments as Socio-Techno-Bio Systems: Water Quality, Public Trust, and Health in Mexico City (NESTSMX)”. This collaboration, led by feminist anthropologists, brings together anthropology, environmental-public health, and environmental engineering researchers to analyze how neighborhoods as “socio-techno-bio systems” shape how people trust or distrust water. Our project follows the infrastructures and social structures that move water in and out of neighborhoods, households, and bodies making them trust it more or less. At the same time our multi-disciplinary research team inhabits different epistemic research environments that creates tensions about how we make knowledge and what counts as data. Trust and distrust then shapes how we constitute both our object of inquiry and how we know it.