|
|
|
|
LEADER |
02556nmm a2200337 u 4500 |
001 |
EB001905282 |
003 |
EBX01000000000000001068188 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
201208 ||| eng |
020 |
|
|
|a 9783030603588
|
100 |
1 |
|
|a Campagnolo, Gian Marco
|
245 |
0 |
0 |
|a Social Data Science Xennials
|h Elektronische Ressource
|b Between Analogue and Digital Social Research
|c by Gian Marco Campagnolo
|
250 |
|
|
|a 1st ed. 2020
|
260 |
|
|
|a Cham
|b Palgrave Macmillan
|c 2020, 2020
|
300 |
|
|
|a IX, 106 p. 3 illus., 2 illus. in color
|b online resource
|
505 |
0 |
|
|a Chapter 1 – Social Data Science Xennials -- Chapter 2 – Phenomenological Extensions -- Chapter 3 – The Analogue Mapping -- Chapter 4 – Participative Epistemology -- Chapter 5 – Ethnography as Data Science
|
653 |
|
|
|a Cultural geography
|
653 |
|
|
|a Human geography
|
653 |
|
|
|a Social and Cultural Geography
|
653 |
|
|
|a Human Geography
|
653 |
|
|
|a Science and Technology Studies
|
653 |
|
|
|a Media Sociology
|
653 |
|
|
|a Mass media
|
653 |
|
|
|a Science / Social aspects
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
028 |
5 |
0 |
|a 10.1007/978-3-030-60358-8
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-60358-8?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 303.483
|
520 |
|
|
|a This book explores the tension between analogue and digital as part of an evolving research programme and focuses on the sequencing of methods within it. The book will be an invaluable reference for scholars who routinely engage in critical sociological analysis of the digital workplace and find it easier to treat the digital as an object of study. It describes how the transformations taking place in the 10-year arc of a career spent doing fieldwork in the IT sector led the author to progressively embrace new forms of data and methods. In a time where sociological imagination takes the shape of whatever new phenomenon can be studied by transactional data and machine learning methods, it is a reminder that longstanding engagement with a particular field of practice is the basis of empirical social science expertise. Gian Marco Campagnolo researches in the field of the social study of data science. He is Lecturer in Science, Technology and Innovation Studies at the University of Edinburgh and Faculty Fellow at the Alan Turing Institute, UK. He has previously had visiting appointments at the Copenhagen Centre for Social Data Science and the Centre de Sociologie de l'Innovation at the Ecole des Mines
|