[1]
» Abildegaard et al (2017) Five recent play dates - EASST: https://easst.net/article/five-recent-play-dates/.
[2]
23andMe Is Terrifying, but Not for the Reasons the FDA Thinks - Scientific American: https://www.scientificamerican.com/article/23andme-is-terrifying-but-not-for-the-reasons-the-fda-thinks/.
[3]
Adams, V. 2016. Metrics. Duke University Press.
[4]
After Kinship by Janet Carsten: https://www-cambridge-org.libproxy.ucl.ac.uk/core/books/after-kinship/BF660970EC79E6A4847E76A38CBE1DB9.
[5]
Amoore, L. 2006. Biometric borders: Governing mobilities in the war on terror. Political Geography. 25, 3 (Mar. 2006), 336–351. DOI:https://doi.org/10.1016/j.polgeo.2006.02.001.
[6]
Amoore, L. 2011. Data Derivatives: On the Emergence of a Security Risk Calculus for Our Times. Theory, Culture & Society. 28, 6 (Nov. 2011), 24–43. DOI:https://doi.org/10.1177/0263276411417430.
[7]
Anderson, K. et al. 2009. Numbers Have Qualities Too: Experiences with Ethno-Mining. Ethnographic Praxis in Industry Conference Proceedings. 2009, 1 (Aug. 2009), 123–140. DOI:https://doi.org/10.1111/j.1559-8918.2009.tb00133.x.
[8]
Anna Tsing 2000. The Global Situation. Cultural Anthropology. 15, 3 (2000), 327–360.
[9]
Annelise Riles 1998. Infinity within the Brackets. American Ethnologist. 25, 3 (1998), 378–398.
[10]
Antonia Walford 2012. Data Moves: Taking Amazonian Climate Science Seriously. The Cambridge Journal of Anthropology. 30, 2 (2012), 101–117.
[11]
Arturo Escobar 1999. After Nature Steps to an Antiessentialist Political Ecology. Current Anthropology. 40, 1 (1999), 1–30.
[12]
Asdal, K. 2008. Enacting things through numbers: Taking nature into account/ing. Geoforum. 39, 1 (Jan. 2008), 123–132. DOI:https://doi.org/10.1016/j.geoforum.2006.11.004.
[13]
Beaulieu, A. 2004. From brainbank to database: the informational turn in the study of the brain. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 35, 2 (Jun. 2004), 367–390. DOI:https://doi.org/10.1016/j.shpsc.2004.03.011.
[14]
Beer, D. 2016. How should we do the history of Big Data? Big Data & Society. 3, 1 (Jan. 2016). DOI:https://doi.org/10.1177/2053951716646135.
[15]
Beer, D. 2015. Productive measures: Culture and measurement in the context of everyday neoliberalism. Big Data & Society. 2, 1 (Jun. 2015). DOI:https://doi.org/10.1177/2053951715578951.
[16]
Beer, D. and Burrows, R. 2013. Popular Culture, Digital Archives and the New Social Life of Data. Theory, Culture & Society. 30, 4 (Jul. 2013), 47–71. DOI:https://doi.org/10.1177/0263276413476542.
[17]
Biagioli, M. 2013. Rights or rewards? Changing frameworks of scientific authorship. Scientific authorship: credit and intellectual property in science. Routledge. 253–281.
[18]
Birchall, C. 2016. Shareveillance: Subjectivity between open and closed data. Big Data & Society. 3, 2 (Nov. 2016). DOI:https://doi.org/10.1177/2053951716663965.
[19]
Blok, A. and Pedersen, M.A. 2014. Complementary social science? Quali-quantitative experiments in a Big Data world. Big Data & Society. 1, 2 (Jul. 2014). DOI:https://doi.org/10.1177/2053951714543908.
[20]
Boellstorff, T. 2013. Making big data, in theory. First Monday. 18, 10 (Oct. 2013). DOI:https://doi.org/10.5210/fm.v18i10.4869.
[21]
Boellstorff, T. 2012. Rethinking Digital Anthropology. Digital anthropology. Berg.
[22]
Boellstorff, T. and Maurer, B. eds. 2015. Boellstorff, T. (2015) Making Big Data,. Data, now bigger and better!. Prickly Paradigm Press.
[23]
Boellstorff, T. and Maurer, B. eds. 2015. Seaver, N. (2015) Bastard Algebra. Data, now bigger and better!. Prickly Paradigm Press.
[24]
Bowker, G. 2005. Databasing the world: biodiversity and the 2000s. Memory practices in the sciences. MIT Press. 107–136.
[25]
Bowker, G.C. 2014. The Theory/Data Thing. International Journal of Communication. 8, (2014).
[26]
Bowker, G.C. and Star, S.L. 1999. Sorting things out: classification and its consequences. MIT Press.
[27]
boyd, D. and Crawford, K. 2012. Critical Questions for Big Data. Information, Communication & Society. 15, 5 (Jun. 2012), 662–679. DOI:https://doi.org/10.1080/1369118X.2012.678878.
[28]
Breiger, R.L. 2015. Scaling down. Big Data & Society. 2, 2 (Dec. 2015). DOI:https://doi.org/10.1177/2053951715602497.
[29]
Browne, S. 2015. Dark Matters. Duke University Press.
[30]
Büscher, B. 2016. Nature 2.0: Exploring and theorizing the links between new media and nature conservation. New Media & Society. 18, 5 (May 2016), 726–743. DOI:https://doi.org/10.1177/1461444814545841.
[31]
Candea, M. 2007. Arbitrary locations: in defence of the bounded field-site. Journal of the Royal Anthropological Institute. 13, 1 (Mar. 2007), 167–184. DOI:https://doi.org/10.1111/j.1467-9655.2007.00419.x.
[32]
Chua, L. and Salmond, A. 2012. Artefacts in anthropology. SAGE handbook of social anthropology. SAGE. 101–115.
[33]
Chun, W.H.K. 2008. The Enduring Ephemeral, or the Future Is a Memory. Critical Inquiry. 35, 1 (Sep. 2008), 148–171. DOI:https://doi.org/10.1086/595632.
[34]
Commentary and Discussion on the Digital Form Curated Collection: 2012. http://www.culanth.org/curated_collections/8-the-digital-form/discussions/15-commentary-and-discussion-on-the-digital-form-curated-collection.
[35]
Coopmans, C. 2014. Visual analytics as artful revelation. Representation in scientific practice revisited. C. Coopmans, ed. The MIT Press.
[36]
Couldry, N. and Powell, A. 2014. Big Data from the bottom up. Big Data & Society. 1, 2 (Jul. 2014). DOI:https://doi.org/10.1177/2053951714539277.
[37]
D. Haggerty, Richard V. Ericson, K. 2000. The surveillant assemblage. British Journal of Sociology. 51, 4 (Dec. 2000), 605–622. DOI:https://doi.org/10.1080/00071310020015280.
[38]
D. Miller 2001. Alienable Gifts and Inalienable Commodities. The empire of things: regimes of value and material culture. School of American Research Press.
[39]
Dalsgaard, S. 2013. The commensurability of carbon. HAU: Journal of Ethnographic Theory. 3, 1 (Jun. 2013), 80–98. DOI:https://doi.org/10.14318/hau3.1.006.
[40]
Dalsgaard, S. and Nielsen, M. 2013. Introduction: Time and the Field. Social Analysis. 57, 1 (Mar. 2013), 1–19. DOI:https://doi.org/10.3167/sa.2013.570101.
[41]
Data, Data, Everywhere, but Who Gets to Interpret It? | EPIC: 2015. https://www.epicpeople.org/data-data-everywhere/.
[42]
Dawn Nafus 2014. Big Data, Big Questions - This One Does Not Go Up To 11: The Quantified Self Movement as an Alternative Big Data Practice. International Journal of Communication. 8, (2014).
[43]
Elizabeth A. Povinelli 2011. The Woman on the Other Side of the Wall: Archiving the Otherwise in Postcolonial Digital Archives. Differences: A Journal Of Feminist Cultural Studies. 22, 1 (Jan. 2011), 146–171. DOI:https://doi.org/10.1215/10407391-1218274.
[44]
Emily Martin 1992. The End of the Body? American Ethnologist. 19, 1 (1992), 121–140.
[45]
Evelyn Ruppert 2011. Population Objects: Interpassive Subjects. Sociology. 45, 2 (2011), 218–233.
[46]
Fairhead, J. et al. 2012. Green Grabbing: a new appropriation of nature? Journal of Peasant Studies. 39, 2 (Apr. 2012), 237–261. DOI:https://doi.org/10.1080/03066150.2012.671770.
[47]
Faubion, J.D. and Marcus, G.E. 2009. Fieldwork is not what it used to be: learning anthropology’s method in a time of transition. Cornell University Press.
[48]
Ford, H. 2014. Big Data and Small: Collaborations between ethnographers and data scientists. Big Data & Society. 1, 2 (Jul. 2014). DOI:https://doi.org/10.1177/2053951714544337.
[49]
Fortun, K. et al. 2016. Pushback: Critical data designers and pollution politics. Big Data & Society. 3, 2 (Nov. 2016). DOI:https://doi.org/10.1177/2053951716668903.
[50]
Franklin, S. 2001. Biologization Re-visited: Kinship Theory. Relative values: reconfiguring kinship studies. Duke University Press. 302–325.
[51]
Franklin, S. 2003. Re-thinking nature-culture: Anthropology and the new genetics. Anthropological Theory. 3, 1 (Mar. 2003), 65–85. DOI:https://doi.org/10.1177/1463499603003001752.
[52]
Fujimara, J. 1999. The Practice of Producing Meaning in Bioinformatics. The practices of human genetics. Kluwer Academic. 49–87.
[53]
Fuller, M. and Goffey, A. 2012. Digital Infrastructures and the Machinery of Topological Abstraction. Theory, Culture & Society. 29, 4–5 (Jul. 2012), 311–333. DOI:https://doi.org/10.1177/0263276412450466.
[54]
Fuller, M. and Goffey, A. 2012. Leak early, leak often. Evil media. The MIT Press. 100–104.
[55]
Gabrys, J. et al. 2016. Just good enough data: Figuring data citizenships through air pollution sensing and data stories. Big Data & Society. 3, 2 (Nov. 2016). DOI:https://doi.org/10.1177/2053951716679677.
[56]
Gabrys, J. 2017. Powering the digital: From energy ecologies to electronic environmentalism. Media and the Ecological Crisis. R. Maxwell et al., eds. Routledge. 3–18.
[57]
Gabrys, J. 2016. Program earth: environmental sensing technology and the making of a computational planet. University of Minnesota Press.
[58]
Garnett, E. 2016. Developing a feeling for error: Practices of monitoring and modelling air pollution data. Big Data & Society. 3, 2 (Nov. 2016). DOI:https://doi.org/10.1177/2053951716658061.
[59]
Geismar, H. and Mohns, W. 2011. Social relationships and digital relationships: rethinking the database at the Vanuatu Cultural Centre. Journal of the Royal Anthropological Institute. 17, (May 2011), S133–S155. DOI:https://doi.org/10.1111/j.1467-9655.2011.01693.x.
[60]
George E. Marcus and Marcelo Pisarro 2008. The End(s) of Ethnography: Social/Cultural Anthropology’s Signature Form of Producing Knowledge in Transition. Cultural Anthropology. 23, 1 (2008), 1–14.
[61]
Gerlitz, C. and Lury, C. 2014. Social media and self-evaluating assemblages: on numbers, orderings and values. Distinktion: Scandinavian Journal of Social Theory. 15, 2 (May 2014), 174–188. DOI:https://doi.org/10.1080/1600910X.2014.920267.
[62]
Gilles Deleuze 1992. Postscript on the Societies of Control. October. 59, (1992), 3–7.
[63]
Gitelman, L. 2013. ‘Raw data’ is an oxymoron. MIT Press.
[64]
Grebowicz, M. 2014. Glacial Time and Lonely Crowds:The social effects of climate change as internet spectacle. Environmental Humanities. 5, (2014), 1–11.
[65]
Greenfield, D. (2016) Deep Data: Notes on the n of 1. In ‘Quantified: biosensing technologies in everyday life’ ed. Dawn Nafus. MIT Press: http://ieeexplore.ieee.org.libproxy.ucl.ac.uk/xpl/ebooks/bookPdfWithBanner.jsp?fileName=7580296.pdf&bkn=7580015&pdfType=chapter.
[66]
Gregg, M. 2015. The Gift That Is Not Given. Data, now bigger and better!. T. Boellstorff and B. Maurer, eds. Prickly Paradigm Press.
[67]
Gross, A. 2011. The economy of social data: exploring research ethics as device. The Sociological Review. 59, (Dec. 2011), 113–129. DOI:https://doi.org/10.1111/j.1467-954X.2012.02055.x.
[68]
Hacking, I. 1990. The argument. The Taming of Chance. Cambridge University Press. 1–10.
[69]
Halpern, O. 2015. Beautiful Data. Duke University Press.
[70]
Halpern, O. 2014. Beautiful data: a history of vision and reason since 1945. Duke University Press.
[71]
Halpern, O. 2014. Cybernetic rationality. Distinktion: Scandinavian Journal of Social Theory. 15, 2 (May 2014), 223–238. DOI:https://doi.org/10.1080/1600910X.2014.923320.
[72]
Haraway, D. 1997. Chapter 4: Gene. Modest₋Witness@Second₋Millennium.FemaleMan₋Meets₋OncoMouse: feminism and technoscience. Routledge.
[73]
Harvey, P. 2012. The Topological Quality of Infrastructural Relation: An Ethnographic Approach. Theory, Culture & Society. 29, 4–5 (Jul. 2012), 76–92. DOI:https://doi.org/10.1177/0263276412448827.
[74]
Hayles, N.K. 1999. How we became posthuman: virtual bodies in cybernetics, literature, and informatics. University of Chicago P.
[75]
Helmreich, S. 2007. Blue-green Capital, Biotechnological Circulation and an Oceanic Imaginary: A Critique of Biopolitical Economy. BioSocieties. 2, 3 (Sep. 2007), 287–302. DOI:https://doi.org/10.1017/S1745855207005753.
[76]
Helmreich, S. 2002. Kinship in Hypertext. Relative values: reconfiguring kinship studies. Duke University Press. 116–143.
[77]
Hilgartner, S. 2012. Selective flows of knowledge in technoscientific interaction: information control in genome research. The British Journal for the History of Science. 45, 02 (Jun. 2012), 267–280. DOI:https://doi.org/10.1017/S0007087412000106.
[78]
Hippocratic Hacking | Platypus: http://blog.castac.org/2016/10/hippocratic-hacking/.
[79]
Hirsch, E. and Strathern, M. 2004. Transactions and creations: property debates and the stimulus of Melanesia. Berghahn Books.
[80]
Hogan, M. 2015. Data flows and water woes: The Utah Data Center. Big Data & Society. 2, 2 (Dec. 2015). DOI:https://doi.org/10.1177/2053951715592429.
[81]
Hui, Y. 2012. What is a Digital Object? Metaphilosophy. 43, 4 (Jul. 2012), 380–395. DOI:https://doi.org/10.1111/j.1467-9973.2012.01761.x.
[82]
Igoe, J. 2010. The spectacle of nature in the global economy of appearances: Anthropological engagements with the spectacular mediations of transnational conservation. Critique of Anthropology. 30, 4 (Dec. 2010), 375–397. DOI:https://doi.org/10.1177/0308275X10372468.
[83]
Isin, E. and Ruppert, E. 2017. Digital Citizenship and Surveillance| Citizen Snowden. International Journal of Communication. 11, (2017).
[84]
J. Holt and Patrick Vondereau 2014. Where the Internet Lives: Data Centers as Cloud Infrastructure. Traffic signal timing manual. U.S. Department of Transportation.
[85]
Jackson Jr., J.L. Ethnography is, ethnography ain’t. Cultural Anthropology. 27, 3, 480–497. DOI:https://doi.org/10.1111/j.1548-1360.2012.01155.x.
[86]
Janet Carsten Ch. 4: The person. After Kinship by Janet Carsten. Cambridge University Press. 83–108.
[87]
Jensen, C.B. and Morita, A. 2015. Infrastructures as Ontological Experiments. Engaging Science, Technology, and Society. 1, (Nov. 2015), 81–87.
[88]
John, N.A. 2013. Sharing and Web 2.0: The emergence of a keyword. New Media & Society. 15, 2 (Mar. 2013), 167–182. DOI:https://doi.org/10.1177/1461444812450684.
[89]
Kaufmann, M. 2015. Resilience 2.0: social media use and (self-)care during the 2011 Norway attacks. Media, Culture & Society. 37, 7 (Oct. 2015), 972–987. DOI:https://doi.org/10.1177/0163443715584101.
[90]
Kelty, C.M. 2012. This is not an article: Model organism newsletters and the question of ‘open science’. BioSocieties. 7, 2 (Jun. 2012), 140–168. DOI:https://doi.org/10.1057/biosoc.2012.8.
[91]
Kim Fortun 2004. From Bhopal to the Informating of Environmentalism: Risk Communication in Historical Perspective. Osiris. 19, (2004), 283–296.
[92]
Kirstie Ball ; Kevin D. Haggend David Lyon Bruno, Fernanda. (2012) Surveillance and Participation on Web 2.0. Routledge Handbook of Surveillance Studies.
[93]
Kitchin, R. 2014. Big Data, new epistemologies and paradigm shifts. Big Data & Society. 1, 1 (Apr. 2014). DOI:https://doi.org/10.1177/2053951714528481.
[94]
Kitchin, R. 2014. The data revolution: big data, open data, data infrastructures and their consequences. SAGE.
[95]
Knox, H. 2015. Carbon, Convertibility, and the Technopolitics of Oil. Subterranean estates: life worlds of oil and gas. H. Appel et al., eds. Cornell University Press.
[96]
Laidlaw, J. 2000. A free gift makes no friends. Journal of the Royal Anthropological Institute. 6, 4 (Dec. 2000), 617–634. DOI:https://doi.org/10.1111/1467-9655.00036.
[97]
Lake, R.W. 2017. Big Data, urban governance, and the ontological politics of hyperindividualism. Big Data & Society. 4, 1 (Jun. 2017). DOI:https://doi.org/10.1177/2053951716682537.
[98]
Lash, S. 2007. Power after Hegemony: Cultural Studies in Mutation? Theory, Culture & Society. 24, 3 (May 2007), 55–78. DOI:https://doi.org/10.1177/0263276407075956.
[99]
Latour, B. 1999. Bruno Latour Pandora’s Hope Ch 2: Circulating Reference. Pandora’s hope: essays on the reality of science studies. Harvard University Press. 24–79.
[100]
Latour, B. et al. 2012. ‘The whole is always smaller than its parts’ - a digital test of Gabriel Tardes’ monads. The British Journal of Sociology. 63, 4 (Dec. 2012), 590–615. DOI:https://doi.org/10.1111/j.1468-4446.2012.01428.x.
[101]
Leach, J. 2011. The Self of the Scientist, Material for the Artist: Emergent Distinctionsin an Interdisciplinary Collaboration. Social Analysis. 55, 3 (Jan. 2011). DOI:https://doi.org/10.3167/sa.2011.550308.
[102]
Lehning, M. et al. Instrumenting the earth: Next-generation sensor networks and environmental science. The fourth paradigm: data-intensive scientific discovery. Microsoft Research. 45–51.
[103]
Leonelli, S. 2013. Why the Current Insistence on Open Access to Scientific Data? Big Data, Knowledge Production, and the Political Economy of Contemporary Biology. Bulletin of Science, Technology & Society. 33, 1–2 (Feb. 2013), 6–11. DOI:https://doi.org/10.1177/0270467613496768.
[104]
Lezaun, J. and Montgomery, C.M. 2015. The Pharmaceutical Commons: Sharing and Exclusion in Global Health Drug Development. Science, Technology & Human Values. 40, 1 (Jan. 2015), 3–29. DOI:https://doi.org/10.1177/0162243914542349.
[105]
Lippert, I. 2015. Environment as datascape: Enacting emission realities in corporate carbon accounting. Geoforum. 66, (Nov. 2015), 126–135. DOI:https://doi.org/10.1016/j.geoforum.2014.09.009.
[106]
Lupton, D. 2013. Quantifying the body: monitoring and measuring health in the age of mHealth technologies. Critical Public Health. 23, 4 (Dec. 2013), 393–403. DOI:https://doi.org/10.1080/09581596.2013.794931.
[107]
Lupton, D. Self-tracking modes: relflexive self-monitoring and data practices. Social life of big data symposium 2nd June 2015. School of Communications and Arts, Edith Cowan University, Perth Western Australia.
[108]
Lupton, D. 2014. The commodification of patient opinion: the digital patient experience economy in the age of big data. Sociology of Health & Illness. 36, 6 (Jul. 2014), 856–869. DOI:https://doi.org/10.1111/1467-9566.12109.
[109]
LYON, D. 2008. BIOMETRICS, IDENTIFICATION AND SURVEILLANCE. Bioethics. 22, 9 (Nov. 2008), 499–508. DOI:https://doi.org/10.1111/j.1467-8519.2008.00697.x.
[110]
Lyon, D. 2008. Biometrics, Identification and Surveillance. Bioethics. 22, 9 (Nov. 2008), 499–508. DOI:https://doi.org/10.1111/j.1467-8519.2008.00697.x.
[111]
Lyon, D. 2010. Liquid Surveillance: The Contribution of Zygmunt Bauman to Surveillance Studies1. International Political Sociology. 4, 4 (Dec. 2010), 325–338. DOI:https://doi.org/10.1111/j.1749-5687.2010.00109.x.
[112]
Lyon, D. 2014. Surveillance, Snowden, and Big Data: Capacities, consequences, critique. Big Data & Society. 1, 2 (Jul. 2014). DOI:https://doi.org/10.1177/2053951714541861.
[113]
M. Fortun 2015. What Toll Pursuit: Affective Assemblages in Genomics and Postgenomics. Postgenomics. S.S. Richardson and H. Stevens, eds. Duke University Press.
[114]
Mackenzie, A. 2014. Multiplying numbers differently: an epidemiology of contagious convolution. Distinktion: Scandinavian Journal of Social Theory. 15, 2 (May 2014), 189–207. DOI:https://doi.org/10.1080/1600910X.2014.922110.
[115]
Mackenzie, A. 2003. These Things Called Systems. Social Studies of Science. 33, 3 (Jun. 2003), 365–387. DOI:https://doi.org/10.1177/03063127030333003.
[116]
Manovich, L. 1999. Database as Symbolic Form. Convergence: The International Journal of Research into New Media Technologies. 5, 2 (Jun. 1999), 80–99. DOI:https://doi.org/10.1177/135485659900500206.
[117]
Marcus, G. 2010. Holism and the Expectations of Critique in Post-1980s Anthropology; Notes and Queries, and an Epilogue. Experiments in holism: theory and practice in contemporary anthropology. Wiley-Blackwell. 28–46.
[118]
Marcus, G.E. 1995. Ethnography in/of the World System: The Emergence of Multi-Sited Ethnography. Annual Review of Anthropology. 24, 1 (Oct. 1995), 95–117. DOI:https://doi.org/10.1146/annurev.an.24.100195.000523.
[119]
MARCUS, G.E. 2012. THE LEGACIES OF WRITING CULTURE AND THE NEAR FUTURE OF THE ETHNOGRAPHIC FORM: A Sketch. Cultural Anthropology. 27, 3 (Aug. 2012), 427–445. DOI:https://doi.org/10.1111/j.1548-1360.2012.01152.x.
[120]
Marres, N. and Weltevrede, E. 2013. Scraping the social? Journal of Cultural Economy. 6, 3 (Aug. 2013), 313–335. DOI:https://doi.org/10.1080/17530350.2013.772070.
[121]
Maurer, W.M. 2015. Principles of Alliance and Descent for Big Data. Prickly Paradigm Press/University of Chicago. 67–86.
[122]
M’charek, A. et al. 2014. Topologies of Race. Science, Technology, & Human Values. 39, 4 (Jul. 2014), 468–487. DOI:https://doi.org/10.1177/0162243913509493.
[123]
Mike Savage and Roger Burrows 2007. The Coming Crisis of Empirical Sociology. Sociology. 41, 5 (2007), 885–899.
[124]
Nadim, T. 2016. Blind regards: Troubling data and their sentinels. Big Data & Society. 3, 2 (Nov. 2016). DOI:https://doi.org/10.1177/2053951716666301.
[125]
Nafus, D. 2014. Stuck data, dead data, and disloyal data: the stops and starts in making numbers into social practices. Distinktion: Scandinavian Journal of Social Theory. 15, 2 (May 2014), 208–222. DOI:https://doi.org/10.1080/1600910X.2014.920266.
[126]
Nafus, D ; Sherman, J This One Does Not Go Up to 11: The Quantified Self Movement as an Alternative Big Data Practice.
[127]
Porter, T.M. 1995. Trust in numbers: the pursuit of objectivity in science and public life. Princeton University Press.
[128]
Publications | Sciences Po | MedialabSciences Po | Medialab: http://www.medialab.sciences-po.fr/publication/.
[129]
Rabinow, P. 1996. Essays on the anthropology of reason. Princeton University Press.
[130]
Rapp, R. 2015. Big data, small kids: Medico-scientific, familial and advocacy visions of human brains. BioSocieties. (Oct. 2015). DOI:https://doi.org/10.1057/biosoc.2015.33.
[131]
Richardson, S.S. and Stevens, H. 2015. Postgenomics: perspectives on biology after the genome. Duke University Press.
[132]
Riles, A. 2006. Introduction: in response. Documents: artifacts of modern knowledge. University of Michigan Press. 1–38.
[133]
Riles, A. 2000. The network inside out: Annelise Riles. The University of Michigan Press.
[134]
Roderick, L. 2014. Discipline and Power in the Digital Age: The Case of the US Consumer Data Broker Industry. Critical Sociology. 40, 5 (Sep. 2014), 729–746. DOI:https://doi.org/10.1177/0896920513501350.
[135]
Rosenberg, D. 2013. Data before the fact. ‘Raw data’ is an oxymoron. L. Gitelman, ed. The MIT Press.
[136]
Rubio, F.D. and Baert, P. eds. 2012. Leach, J. (2012) ‘Step inside: knowledge freely available’: The politics of (making) knowledge-objects’. The politics of knowledge. Routledge.
[137]
Ruckenstein, M. 2014. Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles. Societies. 4, 1 (Feb. 2014), 68–84. DOI:https://doi.org/10.3390/soc4010068.
[138]
Ruppert, E. et al. 2013. Reassembling Social Science Methods: The Challenge of Digital Devices. Theory, Culture & Society. 30, 4 (Jul. 2013), 22–46. DOI:https://doi.org/10.1177/0263276413484941.
[139]
Ruppert, E. 2012. The Governmental Topologies of Database Devices. Theory, Culture & Society. 29, 4–5 (Jul. 2012), 116–136. DOI:https://doi.org/10.1177/0263276412439428.
[140]
Ruppert, E. and Savage, M. 2011. Transactional politics. The Sociological Review. 59, (Dec. 2011), 73–92. DOI:https://doi.org/10.1111/j.1467-954X.2012.02057.x.
[141]
S. Day and C. Lury 2016. Biosensing: Tracking Persons. Quantified:Biosensing Technologies in Everyday Life. MIT Press.
[142]
Sabina Leonelli 2015. What Counts as Scientific Data? A Relational Framework. Philosophy of Science. 82, 5 (2015), 810–821.
[143]
Salmond, A.J.M. 2013. Transforming translations (part I). HAU: Journal of Ethnographic Theory. 3, 3 (Dec. 2013). DOI:https://doi.org/10.14318/hau3.3.002.
[144]
Salmond, A.J.M. 2013. Transforming translations (part I): ‘The owner of these bones’. HAU: Journal of Ethnographic Theory. 3, 3 (Dec. 2013), 1–32. DOI:https://doi.org/10.14318/hau3.3.002.
[145]
Seaver, N. 2017. Algorithms as culture: Some tactics for the ethnography of algorithmic systems. Big Data & Society. 4, 2 (Dec. 2017). DOI:https://doi.org/10.1177/2053951717738104.
[146]
Seaver, N. 2015. The nice thing about context is that everyone has it. Media, Culture & Society. 37, 7 (Oct. 2015), 1101–1109. DOI:https://doi.org/10.1177/0163443715594102.
[147]
Shackley, S. and Wynne, B. 1996. Representing Uncertainty in Global Climate Change Science and Policy: Boundary-Ordering Devices and Authority. Science, Technology & Human Values. 21, 3 (Jul. 1996), 275–302. DOI:https://doi.org/10.1177/016224399602100302.
[148]
Sharma, A. and Gupta, A. 2006. Sharma, A. and Gupta, A. (2006) Introduction: Re-thinking Theories of the State in an Age of Globalization. The anthropology of the state: a reader. Blackwell.
[149]
Sharp, L.A. 2000. The Commodification of the Body and its Parts. Annual Review of Anthropology. 29, 1 (Oct. 2000), 287–328. DOI:https://doi.org/10.1146/annurev.anthro.29.1.287.
[150]
Singer, N. 2015. From knowing yourself to prodding yourself. The New York Times. (Apr. 2015).
[151]
Stefan Helmreich 2011. From Spaceship Earth to Google Ocean: Planetary Icons, Indexes, and Infrastructures. Social Research. 78, 4 (2011), 1211–1242.
[152]
Steinmetz, G. 1999. Mitchell, T. (1999) Society, Economy and the State Effect. In State/Culture: State Formation after the Cultural Turn. State/culture: state-formation after the cultural turn. Cornell University Press.
[153]
Strathern, M. 1992. After nature: English kinship in the late twentieth century. Cambridge University Press.
[154]
Strathern, M. 1999. Chapter 1. Property, substance and effect: anthropological essays on persons and things. Athlone.
[155]
Strathern, M. 2005. Chapter 5: Losing (out on) Intellectual Resources. Kinship, Law and the Unexpected: Relatives are Always a Surprise. Cambridge University Press. 111–134.
[156]
Strathern, M. 2000. Environments within: An ethnographic commentary on scale. Culture, landscape, and the environment: the Linacre lectures, 1997. Oxford University Press. 44–71.
[157]
Strathern, M. 2002. On Space and Depth. Complexities: social studies of knowledge practices. Duke University Press.
[158]
Strathern, M. 2004. Partial connections. AltaMira Press.
[159]
Strathern, M. 1992. Parts and wholes: refiguring relationships in a post-plural world. Conceptualizing society. Routledge. 75–106.
[160]
Strathern, M. 1987. The Limits of Auto-anthropology. Anthropology at home. Tavistock Publications. 16–37.
[161]
Strathern, M. Abstraction and Decontextualisation; an anthropological comment: http://virtualsociety.sbs.ox.ac.uk/GRpapers/strathern.htm.
[162]
Strathern, M. and University of Cambridge. Department of Social Anthropology 1995. The relation: issues in complexity and scale. Prickly Pear Press.
[163]
Striphas, T. 2015. Algorithmic culture. European Journal of Cultural Studies. 18, 4–5 (Aug. 2015), 395–412. DOI:https://doi.org/10.1177/1367549415577392.
[164]
Studying up: the ethnography of technologists: 2014. http://ethnographymatters.net/blog/2014/03/10/studying-up/.
[165]
Thacker, E. 2003. What is Biomedia? Configurations. 11, 1 (2003), 47–79. DOI:https://doi.org/10.1353/con.2004.0014.
[166]
The Difference Between Big Data and a Lot of Data: 21AD. http://data-informed.com/.
[167]
The End of Theory: The Data Deluge Makes the Scientific Method Obsolete: http://www.wired.com/2008/06/pb-theory/.
[168]
The Healing Power of Your Own Medical Records - The New York Times: http://www.nytimes.com/2015/04/01/technology/the-healing-power-of-your-own-medical-data.html?_r=0.
[169]
The World of Indicators edited by Richard Rottenburg: https://www-cambridge-org.libproxy.ucl.ac.uk/core/books/world-of-indicators/C7903E69E0329A256EF02C3CB5C918ED.
[170]
Tsing, Anna 2013. Sorting out commodities: How capitalist value is made through gifts. HAU : Journal of Ethnographic Theory. 3, 1 (2013), 21–43.
[171]
Tutton, R. and Prainsack, B. 2011. Enterprising or altruistic selves? Making up research subjects in genetics research. Sociology of Health & Illness. 33, 7 (Nov. 2011), 1081–1095. DOI:https://doi.org/10.1111/j.1467-9566.2011.01348.x.
[172]
Underberg, N.M. and Zorn, E. 2013. Exploring Peruvian Culture through Multimedia Ethnography. Visual Anthropology. 26, 1 (Jan. 2013), 1–17. DOI:https://doi.org/10.1080/08949468.2013.734760.
[173]
Universitetet i Oslo 2005. State formation: anthropological perspectives. Pluto Press.
[174]
Van Dijck, J. 2000. Digital cadavers: the visible human project as anatomical theater. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences. 31, 2 (Jun. 2000), 271–285. DOI:https://doi.org/10.1016/S1369-8486(99)00020-5.
[175]
Van Dijck, J. and Poell, T. 2016. Understanding the promises and premises of online health platforms. Big Data & Society. 3, 1 (Jan. 2016). DOI:https://doi.org/10.1177/2053951716654173.
[176]
Verran, H. 2014. Number as Generative Device. Inventive methods: the happening of the social. C. Lury and N. Wakeford, eds. Routledge.
[177]
Verran, H. 2009. On assemblage. Journal of Cultural Economy. 2, 1–2 (Jul. 2009), 169–182. DOI:https://doi.org/10.1080/17530350903064188.
[178]
Verran, H. 2011. The changing lives of measures and values: from centre stage in the fading ‘disciplinary’ society to pervasive background instrument in the emergent ‘control’ society. The Sociological Review. 59, (Dec. 2011), 60–72. DOI:https://doi.org/10.1111/j.1467-954X.2012.02059.x.
[179]
Vertesi, J. 2014. My Experiment Opting Out of Big Data Made Me Look Like a Criminal. Time.com. (2014), 1–1.
[180]
Weiner, A.B. 1992. Inalienable possessions: The forgotten dimension. Inalienable possessions: the paradox of keeping-while-giving. University of California Press. 23–43.
[181]
Weiner, A.B. 1992. Reconfiguring Exchange Theory: The Maori Hau. Inalienable possessions: the paradox of keeping-while-giving. University of California Press.
[182]
Wendy F. Hsu 2016. Hsu, W.F (2016) A Performative Digital Ethnography. In ‘The Routledge Companion to Digital Ethnography’ eds. Hjorth, Horst, Galloway, Bell. Routledge. (2016). DOI:https://doi.org/10.4324/9781315673974.ch4.
[183]
Whitington, J. 2016. Carbon as a Metric of the Human. PoLAR: Political and Legal Anthropology Review. 39, 1 (May 2016), 46–63. DOI:https://doi.org/10.1111/plar.12130.
[184]
Why Big Data Needs Thick Data – Ethnography Matters – Medium: https://medium.com/ethnography-matters/why-big-data-needs-thick-data-b4b3e75e3d7.
[185]
With genetic testing, I gave my parents the gift of divorce - Vox: http://www.vox.com/2014/9/9/5975653/with-genetic-testing-i-gave-my-parents-the-gift-of-divorce-23andme.
[186]
With genetic testing, I gave my parents the gift of divorce - Vox: 2014. http://www.vox.com/2014/9/9/5975653/with-genetic-testing-i-gave-my-parents-the-gift-of-divorce-23andme.
[187]
Abramson, Allen. (2016) What in/is the world in/of Big Data? Theorizing the Contemporary, Cultural Anthropology.
[188]
Dourish, P. (2014) No SQL: The Shifting Materialities of Databases. Computational Culture: a Journal of Software Studies. Issue 4.
[189]
Lupton, D. 2016 You are Your Data: Self-tracking Practices and Concepts of Data.
[190]
2015. To the Cloud: Big Data in a Turbulent World. Contemporary Sociology: A Journal of Reviews. 44, 3 (May 2015), 436–437. DOI:https://doi.org/10.1177/0094306115579192c.
