{"title":"Hey Guys, Women Count! A review of Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez","authors":"Cinnamon Hillyard","doi":"10.5038/1936-4660.13.2.1367","DOIUrl":null,"url":null,"abstract":"Criado-Perez, Caroline. 2019. Invisible Women: Data Bias in a World Designed for Men. (New York: Abrams Press). 304 pp. ISBN: 978-1784706289\nThe author provides a plethora of examples and data to illustrate how women have been miscounted in many areas including daily life, the work place, design of spaces and technologies, health care, and public systems. Invisible Women provides cited data that could be examined in multiple data literacy courses. This text reminds readers that gender equity still needs attention. The author’s extensive bibliography and examples also provide a basis for exploring data gaps of other invisible populations.","PeriodicalId":36166,"journal":{"name":"Numeracy","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Numeracy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5038/1936-4660.13.2.1367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 1
Abstract
Criado-Perez, Caroline. 2019. Invisible Women: Data Bias in a World Designed for Men. (New York: Abrams Press). 304 pp. ISBN: 978-1784706289
The author provides a plethora of examples and data to illustrate how women have been miscounted in many areas including daily life, the work place, design of spaces and technologies, health care, and public systems. Invisible Women provides cited data that could be examined in multiple data literacy courses. This text reminds readers that gender equity still needs attention. The author’s extensive bibliography and examples also provide a basis for exploring data gaps of other invisible populations.