Collaborative Research: Understanding Gender Differences in STEM Academic Careers

该奖项资助的研究使用国家科学与工程统计中心（NCSES）的数据来考虑女性在STEM学科中的学术职业发展。该团队将使用一个新的数据集，即博士学位获得者生产力调查数据库（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。该小组将首先制作一份技术报告，详细说明这些数据的特征，以帮助广泛的跨学科科学家群体。然后，他们计划通过控制人口统计、家庭和雇主特征，使用这些数据来评估已经记录的STEM出版和引用中性别差距的可能原因。这个项目的结果可以被大学和资助者使用，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结果的性别差异。如果没有包括生产率和个人人口因素信息的数据，我们就无法判断，例如，STEM领域的女性如果有了孩子，是否会面临更大的生产率差距，或者女性科学家是否更难以找到一份新工作。该项目还将评估SDRPD的质量，并将为有兴趣使用这些数据的研究界提供技术文件。

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.