This work presents program evaluation findings affiliated with gender-based selection bias in an international high performance computing (HPC) student program. The research demonstrates application reviewers from all countries are unconsciously biased against female applicants resulting in significantly lower applicant scores. Additional data that contradicts reviewer bias and supports gender parity among participants in HPC knowledge level and academic achievement are presented. Suggestions for reducing selection bias in light of our findings are discussed. This talk also includes preliminary findings from the expansion of this study to members of underrepresented minorities in HPC.
