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This book reveals how scientific data do not only represent information, but are also implicated in social actions and accountabilities.
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Informazioni sull'autore
Götz Hoeppe is Associate Professor of Sociology at the University of Waterloo, Canada. He is the author of Conversations on the Beach: Fishermen's Knowledge, Metaphor and Environmental Change in South India (2007) and Why the Sky is Blue: Discovering the Color of Life (2007), which received the American Meteorological Society's Louis J. Battan Author's Award.
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How Data Need People: The Social and Epistemic Practice of a Data-Rich Science (Paperback or Softback)
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How Data Need People
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Paperback. Condizione: New. From genome sequencing to large sky surveys, digital technologies produce massive datasets that promise unprecedented scientific insights. But data, for being good to use and reuse, need people - scientists, technicians, and administrators - as embodied, evaluative, social humans. In this book, anthropologist Götz Hoeppe draws on an ethnography of astronomical research to examine the media and practices that scientists and technicians use to instruct graduate students, make diagrams for data calibration and discovery, organize collaborative work, negotiate the ethics of open access, encode their knowledge in datasets - and undertake social inquiries along the way. This book offers a reflection on the sociality of data-rich research that will benefit attempts to integrate human and machine learning. It will be of interest for students and scholars in data science and science and technology studies, as well as in anthropology, sociology, history, and the philosophy of science. This book is also available Open Access on Cambridge Core. Codice articolo LU-9781009686730
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Paperback. Condizione: new. Paperback. From genome sequencing to large sky surveys, digital technologies produce massive datasets that promise unprecedented scientific insights. But data, for being good to use and reuse, need people scientists, technicians, and administrators as embodied, evaluative, social humans. In this book, anthropologist Goetz Hoeppe draws on an ethnography of astronomical research to examine the media and practices that scientists and technicians use to instruct graduate students, make diagrams for data calibration and discovery, organize collaborative work, negotiate the ethics of open access, encode their knowledge in datasets and undertake social inquiries along the way. This book offers a reflection on the sociality of data-rich research that will benefit attempts to integrate human and machine learning. It will be of interest for students and scholars in data science and science and technology studies, as well as in anthropology, sociology, history, and the philosophy of science. This book is also available Open Access on Cambridge Core. Taking an anthropological approach to data-rich science, this book examines the social interactions, relations, and accountabilities that shape how scientists and technicians make, use, publish, and reuse digital data. It is an essential reading for researchers, students, and others interested in data science and science and technology studies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781009686730
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How Data Need People: The Social And Epistemic Practice Of A Data-Rich Science
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How Data Need People: The Social And Epistemic Practice Of A Data-Rich Science
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ISBN 13: 9781009686730
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How Data Need People : The Social and Epistemic Practice of a Data-Rich Science
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Taschenbuch. Condizione: Neu. Neuware - From genome sequencing to large sky surveys, digital technologies produce massive datasets that promise unprecedented scientific insights. But data, for being good to use and reuse, need people - scientists, technicians, and administrators - as embodied, evaluative, social humans. In this book, anthropologist Götz Hoeppe draws on an ethnography of astronomical research to examine the media and practices that scientists and technicians use to instruct graduate students, make diagrams for data calibration and discovery, organize collaborative work, negotiate the ethics of open access, encode their knowledge in datasets - and undertake social inquiries along the way. This book offers a reflection on the sociality of data-rich research that will benefit attempts to integrate human and machine learning. It will be of interest for students and scholars in data science and science and technology studies, as well as in anthropology, sociology, history, and the philosophy of science. This book is also available Open Access on Cambridge Core. Codice articolo 9781009686730
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ISBN 13: 9781009686730
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Paperback. Condizione: new. Paperback. From genome sequencing to large sky surveys, digital technologies produce massive datasets that promise unprecedented scientific insights. But data, for being good to use and reuse, need people scientists, technicians, and administrators as embodied, evaluative, social humans. In this book, anthropologist Goetz Hoeppe draws on an ethnography of astronomical research to examine the media and practices that scientists and technicians use to instruct graduate students, make diagrams for data calibration and discovery, organize collaborative work, negotiate the ethics of open access, encode their knowledge in datasets and undertake social inquiries along the way. This book offers a reflection on the sociality of data-rich research that will benefit attempts to integrate human and machine learning. It will be of interest for students and scholars in data science and science and technology studies, as well as in anthropology, sociology, history, and the philosophy of science. This book is also available Open Access on Cambridge Core. Taking an anthropological approach to data-rich science, this book examines the social interactions, relations, and accountabilities that shape how scientists and technicians make, use, publish, and reuse digital data. It is an essential reading for researchers, students, and others interested in data science and science and technology studies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781009686730
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