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Everyday adventures with unruly data  Cover Image Book Book

Everyday adventures with unruly data / Melanie Feinberg.

Record details

  • ISBN: 9780262544405
  • ISBN: 0262544407
  • Physical Description: xii, 318 pages : illustrations, map, portrait, facsimile ; 23 cm
  • Publisher: Cambridge, Massachusetts ; The MIT Press, [2022]

Content descriptions

Bibliography, etc. Note:
Includes bibliographical references and index.
Formatted Contents Note:
Introduction. A spirit of adventure -- Serendipity -- Objectivity -- Equivalence -- Interoperability -- Taxonomy -- Labels -- Locality -- Conclusion. Still life with data.
Summary, etc.:
"An engaging look at how we think about data in our everyday lives, from shopping for an appliance to stepping on a scale to cooking rice in another country"-- Provided by publisher.
Subject: Information technology > Social aspects.
Knowledge management.
Information organization.
Information society.

Available copies

  • 1 of 1 copy available at GRPL.

Holds

0 current holds with 1 total copy.

Location Call Number / Copy Notes Barcode Shelving Location Status Due Date
Main 303.4833 F327e (Text) 31307025331994 Non Fiction Available -

Syndetic Solutions - Summary for ISBN Number 9780262544405
Everyday Adventures with Unruly Data
Everyday Adventures with Unruly Data
by Feinberg, Melanie
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Summary

Everyday Adventures with Unruly Data


Paired informal and scholarly essays show how everyday events reveal fundamental concepts of data, including its creation, aggregation, management, and use. Whether questioning numbers on a scale, laughing at a misspelling of one's name, or finding ourselves confused in a foreign supermarket, we are engaging with data. The only way to handle data responsibly, says Melanie Feinberg in this incisive work, is to take into account its human character. Though the data she discusses may seem familiar, close scrutiny shows it to be ambiguous, complicated, and uncertain- unruly. Drawing on the tools of information science, she uses everyday events such as deciding between Blender A and Blender B on Amazon to demonstrate a practical, critical, and generative mode of thinking about data- its creation, management, aggregation, and use. Each chapter pairs a self-contained main essay (an adventure) with a scholarly companion essay (the reflection). The adventure begins with an anecdote-visiting the library, running out of butter, cooking rice on a different stove. Feinberg argues that to understand the power and pitfalls of data science, we must attend to the data itself, not merely the algorithms that manipulate it. As she reflects on the implications of commonplace events, Feinberg explicates fundamental concepts of data that reveal the many tiny design decisions-which may not even seem like design at all-that shape how data comes to be. Through the themes of serendipity, objectivity, equivalence, interoperability, taxonomy, labels, and locality, she illuminates the surprisingly pervasive role of data in our daily thoughts and lives.

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