The promise and perils of big gender data

被引：0
|
作者：
Bapu Vaitla
Stefaan Verhulst
Linus Bengtsson
Marta C. González
Rebecca Furst-Nichols
Emily Courey Pryor
机构：
[1] Data2x,Department of Nutrition, Harvard T. H. Chan School of Public Health
[2] United Nations Foundation,The GovLab, NYU Tandon School of Engineering
[3] Harvard University,Department of City and Regional Planning
[4] New York University,undefined
[5] Flowminder Foundation,undefined
[6] University of California–Berkeley,undefined
来源：
Nature Medicine | 2020年 / 26卷
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摘要：
Big Data may revolutionize social science—and also amplify our deepest cultural biases.
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页码：17 / 18
页数：1
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