1.

Record Nr.

UNINA9910806281903321

Titolo

Ethnography for a data-saturated world / edited by Hannah Knox and Dawn Nafus

Pubbl/distr/stampa

Baltimore, Maryland : , : Project Muse, , 2019

Baltimore, Md. : , : Project MUSE, , 2019

©2019

ISBN

1-5261-2761-X

1-5261-2760-1

Descrizione fisica

1 online resource (xiii, 279 pages) : illustrations

Collana

Materialising the digital

Disciplina

306.0285

Soggetti

Ethnology - Data processing

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Data scientists : a new faction of the transnational field of statistics / Francisca Gromme, Evelyn Ruppert and Baki Cakici -- Becoming a real data scientist : expertise, flexibility and lifelong learning / Ian Lowrie -- Engineering ethnography / Kaiton Williams -- 'If everything is information' : archives and collecting on the frontiers of data-driven science / Antonia Walford -- Baseless data? Modelling, ethnography and the challenge of the anthropocene / Hannah Knox -- Operative ethnographies and large numbers / Adrian Mackenzie -- Transversal collaboration : an ethnography in/of computational social science / Mette My Madsen, Anders Blok and Morten Axel Pedersen -- The data walkshop and radical bottom-up data knowledge / Alison Powell -- Working ethnographically with sensor data / Dawn Nafus -- The other ninety per cent : thinking with data science, creating data studies / Joseph Dumit interviewed by Dawn Nafus.

Sommario/riassunto

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