  Although different organizations have defined policies towards diversity in
academia, many argue that minorities are still disadvantaged in university
admissions due to biases. Extensive research has been conducted on detecting
partiality patterns in the academic community. However, in the last few
decades, limited research has focused on assessing gender and nationality
biases in graduate admission results of universities. In this study, we
collected a novel and comprehensive dataset containing information on
approximately 14,000 graduate students majoring in computer science (CS) at the
top 25 North American universities. We used statistical hypothesis tests to
determine whether there is a preference for students' gender and nationality in
the admission processes. In addition to partiality patterns, we discuss the
relationship between gender/nationality diversity and the scientific
achievements of research teams. Consistent with previous studies, our findings
show that there is no gender bias in the admission of graduate students to
research groups, but we observed bias based on students' nationality.
