Sex and gender analysis improves science and engineering

By C. Tannenbaum, R. P. Ellis, Friederike A. Eyssel, James Y. Zou, Londa Schiebinger. Nature, 2019

481 citations recorded by the source corpus.

Subfields: Gender Studies, Public Health, Environmental and Occupational Health, Safety Research

View Paper: https://www.semanticscholar.org/paper/fbe902625bf1cb2face4683e84776013975764e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Gender Studies

1. James Y. Zou

In Public Health, Environmental and Occupational Health

1. Ce Zhang
2. Wei-Qi Wei

In Safety Research

1. James Y. Zou

Citations in the corpus

• Precision Medicine, AI, and the Future of Personalized Health Care (2020, background): “76 AI approaches that excel at discovering complex relationships among a large number of factors provide such opportunities.”
• Advances, challenges and opportunities in creating data for trustworthy AI (2022, background): “…fine-grained evaluation approach should slice the evaluation data by sex, gender, ethnicity and geographical location of the participants in the dataset to the extent possible—for example, ‘elderly Asian man’ or ‘Native American woman’—and quantify the model’s performance on each data subgroup 82 .”