Description

Book Synopsis

Data and Society: A Critical Introduction investigates the growing importance of data as a technological, social, economic and scientific resource. It explains how data practices have come to underpin all aspects of human life and explores what this means for those directly involved in handling data.

The book

  • fosters informed debate over the role of data in contemporary society
  • explains the significance of data as evidence beyond the "Big Data" hype
  • spans the technical, sociological, philosophical and ethical dimensions of data
  • provides guidance on how to use data responsibly
  • includes data stories that provide concrete cases and discussion questions.

Grounded in examples spanning genetics, sport and digital innovation, this book fosters insight into the deep interrelations between technical, social and ethical aspects of data work.



Trade Review

As the Founding Editor-in-chief of Harvard Data Science Review, I have studied thousands of pages of data science, with or without Greek letters. But nothing has had a higher density of inspirations per page than Beaulieu and Leonelli’s book. Without going beyond page 5, I already started to think about data singularly and plurally. -- Professor Xiao-Li Meng

Table of Contents

Section 1: Data in Society Chapter 1: Data in Society Section 2: Data Creation Chapter 2: Big Data in Context Chapter 3: Characteristics of Data Chapter 4: Data, Evidence and Knowledge Section 3: Data Circulation Chapter 5: Putting Data to Work Chapter 6: New Data Skills Chapter 7: Governance of Data Journeys Section 4: Data Value, Innovation and Responsibility Chapter 8: Data as a Source of Value Chapter 9: Data Justice and Ethics Chapter 10: Responsible Use of Data as Evidence Section 5: Conclusion: Data and the Knowledge We Need Chapter 11: Towards Good Data Science

Data and Society: A Critical Introduction

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    A Paperback by Anne Beaulieu, Sabina Leonelli

    £38.83

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    Order before 4pm today for delivery by Mon 16 Nov 2026.

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      Book details

      Publisher Sage Publications
      Published 2 December 2021
      ISBN-13 9781529732535
      978-1529732535
      ISBN-10 1529732530

      Description

      Book Synopsis

      Data and Society: A Critical Introduction investigates the growing importance of data as a technological, social, economic and scientific resource. It explains how data practices have come to underpin all aspects of human life and explores what this means for those directly involved in handling data.

      The book

      • fosters informed debate over the role of data in contemporary society
      • explains the significance of data as evidence beyond the "Big Data" hype
      • spans the technical, sociological, philosophical and ethical dimensions of data
      • provides guidance on how to use data responsibly
      • includes data stories that provide concrete cases and discussion questions.

      Grounded in examples spanning genetics, sport and digital innovation, this book fosters insight into the deep interrelations between technical, social and ethical aspects of data work.



      Trade Review

      As the Founding Editor-in-chief of Harvard Data Science Review, I have studied thousands of pages of data science, with or without Greek letters. But nothing has had a higher density of inspirations per page than Beaulieu and Leonelli’s book. Without going beyond page 5, I already started to think about data singularly and plurally. -- Professor Xiao-Li Meng

      Table of Contents

      Section 1: Data in Society Chapter 1: Data in Society Section 2: Data Creation Chapter 2: Big Data in Context Chapter 3: Characteristics of Data Chapter 4: Data, Evidence and Knowledge Section 3: Data Circulation Chapter 5: Putting Data to Work Chapter 6: New Data Skills Chapter 7: Governance of Data Journeys Section 4: Data Value, Innovation and Responsibility Chapter 8: Data as a Source of Value Chapter 9: Data Justice and Ethics Chapter 10: Responsible Use of Data as Evidence Section 5: Conclusion: Data and the Knowledge We Need Chapter 11: Towards Good Data Science

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