9781009686730 - how data need people: the social and epistemic practice of a data-rich science de hoeppe, götz (9 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Paperback. Condición: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Condición: New. 2026. paperback. . . . . . Books ship from the US and Ireland.
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Paperback. Condición: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 85,91
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Condición: New. 2026. paperback. . . . . .
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 70,50
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Paperback. Condición: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 40,99
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Taschenbuch. Condición: 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 b…ook, 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.
