Although different organizations have defined policies toward diversity in academia, many argue that minorities are still disadvantaged in being admitted to universities due to biases. In this study, we collected the information of 13,936 graduate students majoring in computer science at the top 25 North American universities and used statistical hypothesis tests to realize whether there is a preference for students' gender and nationality in the admission processes. In addition to partiality patterns, we discuss the relations between gender/nationality diversity and the scientific achievements of research teams. Our findings show that there is no gender bias in graduate students' admission to research groups, but we observed partiality in students' nationality.

翻译：尽管不同组织已制定了促进学术界多样性的政策，但许多人认为少数群体在入学过程中仍因偏见而处于劣势。本研究收集了北美25所顶尖大学中13,936名计算机科学研究生的信息，采用统计假设检验探究招生过程中是否存在对学生性别和国籍的偏好。除偏好模式外，我们还讨论了性别/国籍多样性与研究团队科学成就之间的关系。研究结果表明，研究生进入研究组时不存在性别偏见，但在学生国籍方面观察到了偏好性。