Collaborative Research: Understanding Gender Differences in STEM Academic Careers

合作研究：了解 STEM 学术职业中的性别差异

• 批准号: 1538797
• 负责人: Donna Ginther
• 金额: $ 25万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1538797&HistoricalAwards=false
• 关键词: Collaborative; Research; Understanding; Gender; Differences

This award funds research that uses data from the National Center for Science and Engineering Statistics (NCSES) to consider women's academic career progression in STEM disciplines. The team will use a new dataset, the Survey of Doctorate Recipients Productivity Database (SDRPD), which includes publication and patent data for PhD scientists who participate in the NCSES Survey of Doctorate Recipients. The team will first produce a technical report that details the characteristics of these data to aid a broad and interdisciplinary community of scientists. They then plan to use the data to evaluate possible causes for the already documented gender gaps in STEM publication and citation by controlling for demographic, family, and employer characteristics. The results of this project can be used by universities and funders who want to develop policies designed to address barriers faced by women in academic STEM disciplines.Economic theory predicts that gender differences in productivity will lead to gender differences in career outcomes. Without data that includes information both on productivity and on individual demographic factors, we cannot tell, for example, if women in STEM face a larger productivity gap if they have children, or if women scientists find it more difficult to move for a new job. The project will also evaluate the quality of SDRPD and will provide technical documentation for the research community interested in using the data.

该奖项资助使用国家科学与工程统计中心（NCSES）的数据来考虑女性在STEM学科的学术职业发展的研究。 该团队将使用一个新的数据集，即博士学位获得者生产力数据库调查（SDRPD），其中包括参与NCSES博士学位获得者调查的博士科学家的出版物和专利数据。 该团队将首先编写一份技术报告，详细介绍这些数据的特征，以帮助广泛的跨学科科学家社区。 然后，他们计划通过控制人口统计学，家庭和雇主特征，使用这些数据来评估STEM出版和引用中已经记录的性别差距的可能原因。 该项目的结果可供大学和资助者使用，他们希望制定旨在解决女性在学术STEM学科中面临的障碍的政策。经济理论预测，生产力的性别差异将导致职业成果的性别差异。 如果没有包括生产力和个人人口因素信息的数据，我们就无法判断，例如，STEM领域的女性如果有孩子，是否会面临更大的生产力差距，或者女科学家是否会发现更难找到新工作。 该项目还将评估SDRPD的质量，并为有兴趣使用数据的研究界提供技术文件。