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Author Fine, Eve ♦ Wendt, Amy ♦ Carnes, Molly
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract A look at how implicit biases influence the advancement of women in science and engineering.
Description Affiliation: University of Wisconsin-Madison (Fine, Eve; Wendt, Amy; Carnes, Molly)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-30
Publisher Place New York
Journal XRDS: Crossroads, The ACM Magazine for Students (XRDS)
Volume Number 20
Issue Number 4
Page Count 6
Starting Page 46
Ending Page 51


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Source: ACM Digital Library