Description
Book SynopsisThis volume presents a set of theoretically inventive pieces that engage with data across its many locations, from government databases to ecological field stations, from kitchen tables to concrete bunkers. Contributors demonstrate how thinking with data can be conceptually generative for anthropology, prompting us to reconsider our understanding of topics including bodies, persons, and the social itselfShows how 'big' data which may have once seemed limited to business or high tech, ethnographers are now finding data and its attendant values and practices in their field sites around the worldExamines how data has motivated a sweep of dystopian visions, signaling the invasion of privacy, political manipulation, or shadowy data doublesDiscusses how anthropologists have been cautious in taking data itself as an object of theoretical interest, even as the effects of data become manifest in our ethnographiesBy putting data in its place, the chapters collected here develop conceptual t
Trade Review“Anthropologists seeking generative approaches to data will find in this collection a broad and inspiring array of examples.” - Anthropology Book Forum OPEN ACCESS BOOK REVIEWS ~ ISSN: 2380-7725, March 2022
Table of ContentsNotes on contributors 7
(Rachel Douglas-Jones, Antonia Walford & Nick Seaver) Introduction: Towards an anthropology of data 9
1 (Vijayanka Nair) Becoming data: biometric IDs and the individual in ‘Digital India’ 26
2 (Nick Seaver) Everything lies in a space: cultural data and spatial reality 43
3 (Tahani Nadim) The datafication of nature: data formations and new scales in natural history 62
4 (A.R.E. Taylor) Future-proof: bunkered data centres and the selling of ultra-secure cloud storage 76
5 (Cori Hayden) From connection to contagion 95
6 (Hannah Knox) Hacking anthropology 108
7 (Antonia Walford) Data – ova – gene – data 127
8 (Sarah Blacker) Strategic translation: pollution, data, and Indigenous Traditional Knowledge 142
9 (Rachel Douglas-Jones) Bodies of data: doubles, composites, and aggregates 159
(Bill Maurer) Data forward: an afterword 171
Index 176
