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Age, Gender, and International Author Networks in the Earth and Space Sciences: Implications for Addressing Implicit Bias
Earth and Space Science ( IF 3.1 ) Pub Date : 2020-04-27 , DOI: 10.1029/2019ea000930
Brooks Hanson 1 , Paige Wooden 1 , Jory Lerback 2
Affiliation  

Author networks play a key role in doing science. Developing networks is critical for career advancement in a variety of ways, and differences in networks may be a core reason for persistence of implicit bias, particularly with regards to gender. Combining the American Geophysical Union (AGU) Fall Meeting abstracts from 2014–2018 with self‐identified AGU member data on birth year and gender provides a large database of more than 400,000 unique coauthor interactions that we use to examine author networks by age, gender, and country. Age data are necessary to disambiguate the effect of a historic lack of women in the Earth and Space Science. The data show that women's networks are closer to those expected from the age–gender distribution of the overall membership; whereas, networks of men include more men than expected. Women also have more male coauthors within their age cohort than expected from the membership distribution. Women's networks are also less international than their male colleagues in most age cohorts. These differences start in the youngest age cohort. These data indicate that addressing implicit bias requires efforts at purposefully encouraging and developing more balanced author networks, particularly in early‐career scientists. Recent work suggests that this will also improve science outputs.

中文翻译:

地球和空间科学中的年龄,性别和国际作者网络:解决内隐偏见的含义

作者网络在从事科学方面起着关键作用。建立网络对于以各种方式促进职业发展至关重要,网络之间的差异可能是持续存在内隐偏见的核心原因,尤其是在性别方面。将2014-2018年的美国地球物理联合会(AGU)秋季会议摘要与有关出生年份和性别的自我确定的AGU成员数据相结合,提供了一个庞大的数据库,其中包含超过40万种独特的共同作者互动,我们使用这些互动来按年龄,性别,和国家。年龄数据对于消除地球和太空科学领域历史上缺乏女性的影响是必不可少的。数据显示,妇女网络更接近总体成员的年龄性别分布所预期的网络;而男性网络中的男性人数超出了预期。女性在其年龄组中的男性合著者也比成员分布中的预期多。在大多数年龄组中,女性网络也没有男性同事那样国际化。这些差异始于最年轻的队列。这些数据表明,解决隐性偏见需要努力有目的地鼓励和发展更平衡的作者网络,尤其是在早期职业科学家中。最近的工作表明,这还将提高科学产出。这些数据表明,解决隐性偏见需要努力有目的地鼓励和发展更加平衡的作者网络,尤其是在早期职业科学家中。最近的工作表明,这还将提高科学产出。这些数据表明,解决隐性偏见需要努力有目的地鼓励和发展更平衡的作者网络,尤其是在早期职业科学家中。最近的工作表明,这还将提高科学产出。
更新日期:2020-04-27
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