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Invisible women: data bias in a world designed for men
(Book)

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More Details
Published:
New York : Abrams Press, 2019.
Format:
Book
Physical Desc:
xv, 411 pages ; 24 cm
Language:
English
ISBN:
9781419729072, 1419729071, 9781419729072, 1419729071

Notes

Bibliography
Includes bibliographical references and index.
Description
"Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women​, diving into women's lives at home, the workplace, the public square, the doctor's office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world."--provided by publisher.
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Citations
APA Citation (style guide)

Criado-Perez, C. (2019). Invisible women: data bias in a world designed for men. New York: Abrams Press.

Chicago / Turabian - Author Date Citation (style guide)

Criado-Perez, Caroline. 2019. Invisible Women: Data Bias in a World Designed for Men. New York: Abrams Press.

Chicago / Turabian - Humanities Citation (style guide)

Criado-Perez, Caroline, Invisible Women: Data Bias in a World Designed for Men. New York: Abrams Press, 2019.

MLA Citation (style guide)

Criado-Perez, Caroline. Invisible Women: Data Bias in a World Designed for Men. New York: Abrams Press, 2019. Print.

Note! Citation formats are based on standards as of July 2010. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
Staff View
Grouped Work ID:
06f6c9ed-688f-7f78-48db-b6062c4b8d68
Go To GroupedWork

Record Information

Last File Modification TimeJan 16, 2021 07:43:44 AM
Last Grouped Work Modification TimeJan 17, 2021 07:35:28 AM

MARC Record

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