Machine-Learning Algorithm Quantifies Gender Bias in Astronomy

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    SCIENTIFIC AMERICAN

    https://www.scientificamerican.com/article/machine-learning-algorithm-quantifies-gender-bias-in-astronomy/

    The new study also notes that women publish 19% fewer articles than men in the 7 years after their first published paper. Astrophysicist Anna Scaife, who heads the Interferometry Centre of Excellence at Jodrell Bank observatory in the United Kingdom, says that this factor could be even more damaging than the low citation rates. “The 4–6 years following PhDs are crucial for producing the output that contributes to their first application for a permanent position,” she says.

    Period7 Nov 2016

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    • TitleMachine-Learning Algorithm Quantifies Gender Bias in Astronomy
      Date7/11/16
      PersonsAnna Scaife

    Keywords

    • gender
    • equality
    • astronomy