EAPSI: Factors in Early Career Decisions by Women in STEM Academic Profession

统计数据显示，妇女在科学、技术、工程和数学(STEM)领域的代表性不足。这项研究将解决为什么STEM的女性在早期职业生涯中选择不继续在学术界工作的问题，例如研究生、博士后研究人员或新教师。该项目将包括对调查数据的分析和个案研究访谈，以确定共同主题和可能需要改进的领域。这项研究将作为悉尼大学澳大利亚科学性别平等项目(SAGE)的一部分，与科学院长特雷弗·汉布利合作进行，作为雅典娜·斯旺(科学女性学术网络)试点项目的一部分。雅典娜天鹅在英国运营了10年，在女性的留任和满意度方面已经发生了重大变化。(5)随着该项目从试点大学扩展到其他国家，这份报告可能会影响未来的类似努力。这些成果将作为制定政策和做法以改善两性平等的起点。这些变化将有助于提高妇女在STEM领域的地位，增加多样性，并鼓励处于早期职业生涯的妇女继续在学术界工作。将对SAGE工作人员收集的调查数据进行分析，以确定主题以进行更深入的探索。一个模型将确定相关变量，如在学术界继续担任博士后或教师职位。将确定候选人预测因素，包括人口统计数据、获得机会的机会和未来的职业前景。将使用方差分析(ANOVA)检验在预测因素和因变量之间的关系中寻找统计学意义。被确定为重要的预测因素将被指定为可能的因素，以便在研究的第二部分进行探索。访谈将围绕这些主题进行，以便构建案例研究并与调查数据进行比较。将使用不断比较的方法来分析在访谈中收集的信息。这项研究将作为2019年提交的大学报告的一部分进行，以供考虑进行认证。悉尼的SAGE计划得到了专家学者和顾问的支持，工作人员和基础设施已经到位。该奖项根据东亚和太平洋夏季学院计划，支持一名美国研究生的夏季研究，并由NSF和澳大利亚科学院联合资助

Statistics show that women are underrepresented in science, technology, engineering, and mathematics (STEM) fields. This research will address the question of why women in STEM choose not to continue in academia during early career such as graduate students, postdoctoral researchers, or new faculty. The project will consist of an analysis of survey data and case study interviews to identify common themes and potential areas for improvement. The research will be conducted as part of the Science in Australia Gender Equity program (SAGE) at the University of Sydney in collaboration with Dean of Science Trevor Hambley as part of an Athena SWAN (Scientific Women's Academic Network) pilot program. After 10 years of Athena SWAN operation in the UK, significant changes have already been seen in terms of increased retention and satisfaction for women. (5) As the program expands beyond the pilot universities, or into other countries, this report may influence future similar endeavors. The results will serve as a starting point to develop policies and practices to improve gender equity. These changes will help to advance the position of women in STEM fields, increase diversity, and encourage women in their early careers to continue in academia. Survey data collected by SAGE staff will be analyzed in order to identify themes for more in depth exploration. A model will identify dependent variables such as continuation to a postdoctoral or faculty position in academia. Candidate predictors will be identified including demographics, access to opportunities, and future career prospects. An analysis of variance (ANOVA) test will be used to look for statistical significance in the relationship between predictors and dependent variables. Predictors identified as significant will be designated as possible factors to explore in the second portion of the research. Interviews will be conducted with questions centered around those themes in order to construct case studies and compare to survey data. A constant comparative method will be used to analyze information gathered in the interviews. This research will be conducted as part of the University's report submitted in 2019 to be considered for accreditation. The SAGE program at Sydney is supported by expert academics and consultants, with a staff and infrastructure already in place.This award, under the East Asia and Pacific Summer Institutes program, supports summer research by a U.S. graduate student and is jointly funded by NSF and the Australian Academy of Sciences