Suppr超能文献

大流行一年后:科学、技术、工程、数学和医学领域女性的最新情况。

A Year into the Pandemic: An Update on Women in Science, Technology, Engineering, Math, and Medicine.

机构信息

Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee.

Department of Neonatology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

出版信息

Ann Am Thorac Soc. 2022 Apr;19(4):517-524. doi: 10.1513/AnnalsATS.202107-875CME.

Abstract

The coronavirus pandemic revealed long-standing, unaddressed fissures in our systems, including dramatic gender inequities in science, technology, engineering, mathematics, and medicine (STEMM) fields. Women have disproportionately carried the burden of childcare and other caregiving responsibilities during the pandemic, and there are strong indications that the pandemic will likely exacerbate preexisting disparities in the pipeline of women in STEMM and in leadership positions. Based on a literature review, our own experiences, and the experiences of our colleagues, we review promising strategies that have been implemented by funding bodies, journals, professional societies, and colleges/universities as well as additional strategies that might be helpful for these entities to implement to move forward with policies in place that address gender inequities and rebuild our institutional systems better. At this moment in time, institutions should collect data on metrics such as recruitment, retention, tenure/promotion, funding, professional society membership, awards/honors, and scientific publishing. These data will be essential in determining the impact of policies on women in STEMM to ensure they are having the intended effect as well as what future actions might be necessary in an iterative process.

摘要

冠状病毒大流行揭示了我们制度中长期存在且未得到解决的裂痕,包括科学、技术、工程、数学和医学(STEMM)领域中明显的性别不平等。在大流行期间,女性承担了不成比例的育儿和其他照顾责任,有强烈迹象表明,大流行可能会加剧 STEMM 领域和领导层中女性的现有差距。基于文献综述、我们自己的经验以及同事的经验,我们审查了资助机构、期刊、专业协会和学院/大学已经实施的有希望的策略,以及这些实体为推进解决性别不平等问题的政策和更好地重建我们的机构系统而可能实施的其他策略。在当前这个时刻,各机构应该收集招聘、留任、终身教职/晋升、资助、专业协会会员、奖项/荣誉和科学出版等指标的数据。这些数据对于确定政策对 STEMM 领域女性的影响至关重要,以确保政策产生预期效果,以及在迭代过程中可能需要采取哪些未来行动。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验