Participative Epistemology
This chapter addresses the precise procedures and operations which are embedded in the situated encounter of ethnographic, computational and statistical methods, and asks how text mining and sequence analysis can be used ethnographically, with an attentio
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Gian Marco Campagnolo
Social Data Science Xennials
Gian Marco Campagnolo
Social Data Science Xennials Between Analogue and Digital Social Research
Gian Marco Campagnolo Science, Technology and Innovation Studies University of Edinburgh Edinburgh, UK
ISBN 978-3-030-60357-1 ISBN 978-3-030-60358-8 (eBook) https://doi.org/10.1007/978-3-030-60358-8 © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Cover pattern © Melisa Hasan This Palgrave Macmillan imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Acknowledgements
The key arguments in this book are that social data science is a collective effort and that diversity pays dividends. I indeed owe a lot to people I worked with from within the discipline and beyond. I am grateful to Giolo Fele, who took interest into why, as an “Information Systems” person, I was interested in ethnography and tried to explain me what ethnomethodology is. My research is always deeply indebted to Claudio Ciborra, a leading advocate of the separation of computer science from the mathematical and formal sciences. I also want to thank Robin Williams, for always challenging me to question my existing modes of research. A big thank goes to statistician and applied mathematician colleagues at the Alan Turing Institute for giving me the opportunity to ask questions on what happens inside the machine. The book is thought as a conversation with key scholars in the social data science debate: Rob Procter, Noortje Marres, Celia Lury, Tommaso Venturini, Michael Castelle, Giuseppe Veltri, David De Roure, Hjalmar Bang Carlsen, Anders Blok. This book is the continuation of our conversations. I also wa
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