This article explores some of the ways that time figures in the scientific practices of instrumental micrometeorology and climatic and weather modeling. It draws on ethnographic work done with the Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA), an international scientific project that aims to assess the role of the Amazon forest in the global carbon cycle and to provide sustainable techniques for the future management of the region. An examination of the knowledge practices that have emerged from this ethnography (such as calibration and prediction) provides an opportunity to rethink the relation between 'natural time' and 'social time(s)'. This allows for a discussion of the roles that certainty, uncertainty, finiteness, and limitlessness play in both scientific and ethnographic practice.
Exploring Time in Scientific Practice
Taking Amazonian Climate Science Seriously
Drawing on fieldwork with researchers and technicians involved in a scientific project in the Brazilian rainforest, this article explores specific aspects of climate science in the Amazon. It suggests that taking science seriously anthropologically requires an investigation into the relation between endo-anthropology and exo-anthropology. This is done recursively by exploring a particular way in which what is 'inside' and what is 'outside' are achieved and negotiated in the scientific practice under study. Researchers and technicians 'do' some crucial distinctions with data, and the article points to the importance of the flux of data and the boundaries and sides that emerge from the control of that flux.
Making Relations Matter
This article takes scientific ‘raw data’ as its ethnographic object in order to investigate the co-implication of nature and culture in scientific knowledge practices. The article traces out some of the activities that are involved in producing numerical climate data from the Brazilian Amazon. Although science and technology studies (STS) makes a strong case for associating relationality with certainty, the article argues that a particular form of data, ‘raw data’, complicates this association. It further argues that scientific data is not simply composed out of relations, but is a relation itself. The article ends with a brief reflection on the possible repercussions of shifting from thinking of science as producing multiple natures and cultures to thinking of it as producing the potential for relations.