Sex and gender analysis improves science and engineering

• Cara Tannenbaum, 
• Robert P. Ellis, 
• Friederike Eyssel, 
• James Zou & 
• Londa Schiebinger 

Nature volume 575, pages137–146(2019)

We cover basic methods—and focus on biomedicine, marine science, AI, and social robots. Abstract: 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.