Isbn: 9780262039666 - all data are local: thinking critically in a data-driven society (the mit press) (6 resultados)

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  • Idioma: Inglés

    Editorial: MIT Press Ltd, 2019

    0262039664 / 9780262039666

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    Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de AmericaWorld of Books (was SecondSale)

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    Condición: Usado - Bueno

    EUR 10,63

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    Cantidad disponible: 4 disponibles

    Hardback. Condición: Very Good. How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. All data are local. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States--Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow--Loukissas shows us how to analyze data settings rather than data sets.Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the myth of digital universalism, Loukissas reminds us of the meaning-making power of the local.

  • Idioma: Inglés

    Editorial: The MIT Press, 2019

    0262039664 / 9780262039666

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    Librería: HPB Inc., Dallas, TX, Estados Unidos de AmericaHPB Inc.

    Vendedor de 5 estrellas
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    Condición: Usado - Bueno

    EUR 7,27

    Envío por EUR 3,28 
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    Cantidad disponible: 1 disponibles

    Hardcover. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

  • Idioma: Inglés

    Editorial: The MIT Press, 2019

    0262039664 / 9780262039666

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    Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de AmericaBellwetherbooks

    Vendedor de 4 estrellas
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    Condición: Usado - Aceptable

    EUR 7,30

    Envío por EUR 3,45 
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    Cantidad disponible: 1 disponibles

    hardcover. Condición: Good. Bruise/tear to cover.

  • Idioma: Inglés

    Editorial: The MIT Press, 2019

    0262039664 / 9780262039666

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    Librería: Bookoutlet1, Easley, SC, Estados Unidos de AmericaBookoutlet1

    Vendedor de 5 estrellas
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    Condición: Usado - Regular

    EUR 8,15

    Envío por EUR 3,49 
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    Cantidad disponible: 1 disponibles

    Condición: Acceptable. Book is readable with major wear, creases, and rips. Has a publisher remainder mark. hardcover Used - Acceptable 2019.

  • Idioma: Inglés

    Editorial: MIT Press Ltd, 2019

    0262039664 / 9780262039666

    • Tapa dura

    Librería: World of Books Inc, Montgomery, IL, Estados Unidos de AmericaWorld of Books Inc

    Vendedor de 4 estrellas
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    Condición: Usado - Bueno

    EUR 12,43

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    Cantidad disponible: 4 disponibles

    Hardback. Condición: Very Good. How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. All data are local. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States--Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow--Loukissas shows us how to analyze data settings rather than data sets.Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the myth of digital universalism, Loukissas reminds us of the meaning-making power of the local.

  • Idioma: Inglés

    Editorial: The MIT Press, 2019

    0262039664 / 9780262039666

    • Tapa dura

    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

    Vendedor de 4 estrellas
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    Condición: Nuevo

    EUR 34,49

    Envío por EUR 7,58 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Condición: New.