Social Data Science Xennials

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.

'This short book by Gian Marco Campagnolo is remarkably wide-ranging. It draws on theoretical perspectives as varied as Harold Garfinkel's ethnomethodology and Andrew Abbott's 'linked ecologies' to discuss topics as diverse as the adoption of packaged enterprise software in the public sector in Italy and the careers of often influential industry analysts. Campagnolo's methods are primarily qualitative and ethnographic, but he shows a proper appreciation for quantitative methods such as text mining and sequence analysis. The book ends with a discussion of the famously difficult issue of achieving 'explainability' in machine learning.  Campagnolo tantalisingly suggests the usefulness here of how ethnomethodologists view 'accountability': as a practical accomplishment that is hampered, rather than fostered, by efforts to give full explanations.'  

-Donald MacKenzie, Professor of Sociology, Edinburgh University, Scotland'The author adopts a 'processual' perspective on social data science as means of exploring and reflecting on the emergence of an academic career within this new domain of interdisciplinary