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Data Practices Making Up A European People 1st Edition Evelyn Ruppert

  • SKU: BELL-36175292
Data Practices Making Up A European People 1st Edition Evelyn Ruppert
$ 31.00 $ 45.00 (-31%)

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Data Practices Making Up A European People 1st Edition Evelyn Ruppert instant download after payment.

Publisher: Goldsmiths Press | Versa Press
File Extension: PDF
File size: 3.51 MB
Pages: 368
Author: Evelyn Ruppert, Stephan Scheel
ISBN: 9781912685851, 9781912685868, 191268585X, 1912685868
Language: English
Year: 2021
Edition: 1

Product desciption

Data Practices Making Up A European People 1st Edition Evelyn Ruppert by Evelyn Ruppert, Stephan Scheel 9781912685851, 9781912685868, 191268585X, 1912685868 instant download after payment.

What is 'Europe' and who are 'Europeans'? Data Practices approaches this contemporary political and theoretical question by treating it as a practical problem of counting. Only through the myriad data practices that make up methods such as censuses can EU member states know their national populations, and this in turn is utilized by the EU to understand the population of Europe. But this volume approaches data practices not simply as reflecting populations but as performative in two senses: they simultaneously enact—that is, “make up"—a European population and, by so doing—intentionally or otherwise—also contribute to making up a European people. The book develops a conception of data practices to analyze and interpret findings from collaborative ethnographic multisite fieldwork conducted by an interdisciplinary team of social science researchers as part of a five-year project, Peopling Europe: How Data Make a People. The book focuses on data practices that involve establishing and assigning people to categories and how this matters in enacting Europe as a population and people. Five core chapters explore key categories of people—usual residents, refugees, homeless people, migrants, and ethnic minorities—and how they come into being through specific data practices such as defining, estimating, recalibrating and inferring. Two additional chapters address two key subject positions that data practices produce and require: the data subject and the statistician subject.

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