This article contributes to a growing literature in the anthropology of science, focusing on contemporary U.S. toxicology and the development of “toxicogenomics.” Toxicogenomics research aims to understand impacts of environmental stressors at the genetic level and to create a “systems toxicology” that combines different kinds of biological data for holistic understanding. Toxicologists are challenged to deal with greater and greater complexity while fulfilling their historic mission of producing results relevant to regulatory, legal, and clinical decision making. Although there is now a robust body of anthropological work on the sciences—in practice, as sites of cultural production, and as cultural and political‐economic forces in a variety of domains—a relatively underdeveloped theme is subject formation within the sciences. This article directs ethnographic attention toward understanding how scientific imaginaries take shape and interpolate technical, biomaterial, political‐economic, social, cultural, and ethical elements. We map such efforts in contemporary toxicogenomics as an instance of “civic science.”

This essay questions some of the limits that both science studies and bioethics have assumed in their engagements with technoscience, and genomics in particular. It argues that these disciplines have privileged an "ethics of suspicion" regarding technoscience, and argues that this is ill-suited to promissory sciences such as genomics. The essay begins to develop elements of an "ethics of friendship" toward genomics, using examples from toxicogenomics and behavioral genetics, to suggest what an ethics of promising might involve.

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In this paper, we describe how critical data designers have created projects that 'push back' against the eclipse of environmental problems by dominant orders: the pioneering pollution database Scorecard, released by the US NGO Environmental Defense Fund in 1997; the US Environmental Protection Agency's EnviroAtlas that brings together numerous data sets and provides tools for valuing ecosystem services; and the Houston Clean Air Network's maps of real-time ozone levels in Houston. Drawing on ethnographic observations and interviews, we analyse how critical data designers turn scientific data and findings into claims and visualisations that are meaningful in contemporary political terms. The skills of critical data designers cross scales and domains; they must identify problems calling for public consideration, and then locate, access, link, and create visualisations of data relevant to the problem. We conclude by describing hazards ahead in work to leverage Big Data to understand and address environmental problems. Critical data designers need to understand what counts as a societal problem in a particular context, what doesn't, what is seen as connected and not, what is seen as ethically charged, and what is exonerated and discounted. Such recognition is produced through interpretive, 'close reading' of the historical moment in which they operate.