Ethnography for a data-saturated world

This edited collection aims to reimagine and extend ethnography for a data-saturated world. The book brings together leading scholars in the social sciences who have been interrogating and collaborating with data scientists working in a range of different settings. The book explores how a repurposed form of ethnography might illuminate the kinds of knowledge that are being produced by data science. It also describes how collaborations between ethnographers and data scientists might lead to new forms of social analysis Front matter Dedication Contents List of figures Notes on contributors Preface and acknowledgements Introduction: ethnography for a data-saturated world Part I: Ethnographies of data science Data scientists: a new faction of the transnational field of statistics Becoming a real data scientist: expertise, flexibility and lifelong learning Engineering ethnography Part II: Knowing data ‘If everything is information’: archives and collecting on the frontiers of data-driven science Baseless data? Modelling, ethnography and the challenge of the anthropocene Operative ethnographies and large numbers Part III: Experiments in/of data and ethnography Transversal collaboration: an ethnography in/of computational social science The data walkshop and radical bottom-up data knowledge Working ethnographically with sensor data The other ninety per cent: thinking with data science, creating data studies – an interview with Joseph Dumit Index