Sex and gender analysis improves science and engineering

被引：300
|
作者：
Tannenbaum, Cara [1 ]
Ellis, Robert P. [2 ]
Eyssel, Friederike [3 ]
Zou, James [4 ,5 ]
Schiebinger, Londa [6 ]
机构：
[1] Univ Montreal, Inst Gender & Hlth, Canadian Inst Hlth Res, Montreal, PQ, Canada
[2] Univ Exeter, Coll Life & Environm Sci, Exeter, Devon, England
[3] Univ Bielefeld, Dept Psychol, Ctr Excellence Cognit Interact Technol, Bielefeld, Germany
[4] Stanford Univ, Biomed Data Sci, Stanford, CA 94305 USA
[5] Chan Zuckerberg Biohub, San Francisco, CA USA
[6] Stanford Univ, Hist Sci, Gendered Innovat Sci Hlth & Med Engn & Environm, Stanford, CA 94305 USA
来源：
NATURE | 2019年 / 575卷 / 7781期
关键词：
ASSOCIATION; MALES; ROBOT; DIFFERENTIATION; METABOLOMICS; METAANALYSIS; POPULATION; DIVERSITY; RESPONSES; FEMALES;
D O I：
10.1038/s41586-019-1657-6
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The goal of sex and gender analysis is to promote rigorous, reproducible and responsible science. Incorporating sex and gender analysis into experimental design has enabled advancements across many disciplines, such as improved treatment of heart disease and insights into the societal impact of algorithmic bias. Here we discuss the potential for sex and gender analysis to foster scientific discovery, improve experimental efficiency and enable social equality. We provide a roadmap for sex and gender analysis across scientific disciplines and call on researchers, funding agencies, peer-reviewed journals and universities to coordinate efforts to implement robust methods of sex and gender analysis.
引用
收藏
页码：137 / 146
页数：10
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