Data Action
Data Action
  • Išparduota
How to use data as a tool for empowerment rather than oppression.Big data can be used for good--from tracking disease to exposing human rights violations--and for bad--implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Too often data has been used…
  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 285
  • ISBN-10: 0262044196
  • ISBN-13: 9780262044196
  • Formatas: 23.6 x 26.1 x 2.7 cm, kieti viršeliai
  • Kalba: Anglų

Data Action (el. knyga) (skaityta knyga) | Sarah Williams | knygos.lt

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How to use data as a tool for empowerment rather than oppression.

Big data can be used for good--from tracking disease to exposing human rights violations--and for bad--implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Too often data has been used--and manipulated--to make policy decisions without much stakeholder input. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. This approach creates trust and co-ownership in the data by opening the process to those who know the issues best.

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  • Autorius: Sarah Williams
  • Leidėjas:
  • Metai: 2020
  • Puslapiai: 285
  • ISBN-10: 0262044196
  • ISBN-13: 9780262044196
  • Formatas: 23.6 x 26.1 x 2.7 cm, kieti viršeliai
  • Kalba: Anglų

How to use data as a tool for empowerment rather than oppression.

Big data can be used for good--from tracking disease to exposing human rights violations--and for bad--implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Too often data has been used--and manipulated--to make policy decisions without much stakeholder input. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. This approach creates trust and co-ownership in the data by opening the process to those who know the issues best.

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