Gender-sensitive statistics can highlight gender gaps, but current measurement tools have serious limitations Here, Fulvia Mecatti, Paola Vicard, Flaminia Musella and Lorenzo Giammei explore how Bayesian networks could help improve the measurement, monitoring and prediction of gender equality.
Mecatti, F., Vicard, P., Musella, F., Giammei, L. (2022). Bayesian networks versus gender bias. SIGNIFICANCE, 19(5 (October 2022)), 16-20 [10.1111/1740-9713.01684].
Bayesian networks versus gender bias
Mecatti, F
;
2022
Abstract
Gender-sensitive statistics can highlight gender gaps, but current measurement tools have serious limitations Here, Fulvia Mecatti, Paola Vicard, Flaminia Musella and Lorenzo Giammei explore how Bayesian networks could help improve the measurement, monitoring and prediction of gender equality.
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