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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. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.
Buchkauf
Data Action, Sarah Williams
- Sprache
- Erscheinungsdatum
- 2022
- product-detail.submit-box.info.binding
- (Paperback)
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- Titel
- Data Action
- Sprache
- Englisch
- Autor*innen
- Sarah Williams
- Verlag
- MIT Press Ltd
- Erscheinungsdatum
- 2022
- Einband
- Paperback
- ISBN10
- 0262545314
- ISBN13
- 9780262545310
- Reihe
- Schlagwörter
- Sachbücher, Wissenschaft, Technologie, Städte, Urbanismus, Urbanisierung
- Bewertung
- 4,15 von 5 Sternen
- Beschreibung
- 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. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.