“…In conclusion, this commentary calls for a broader definition of gender bias to include gender identity in STEM and for greater attention to the issue of bias amplification due to geographic affiliation in the field of computational chemistry and chemoinformatics. The pathways to greater equity, diversity, and inclusion have already been addressed by several studies. ,,,,,− One common outcome from these reports is the need for organizations to actively seek and promote greater gender identity and geographical diversity on their hiring bodies, evaluation panels, and editorial boards. Another is the need for individuals to act proactively to recognize and counteract implicit or explicit bias.…”