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Bias Amplification in Gender, Gender Identity, and Geographical Affiliation.

Michele CascellaThereza A Soares
Published in: Journal of chemical information and modeling (2022)
In the quest for greater equity in science, individual attitudes and institutional policies should also embrace greater diversity and inclusion of minority groups. This viewpoint calls for a broader definition of gender bias in STEM to include gender identity and for increased attention to the issue of bias amplification due to geographic affiliation in the field of computational chemistry and chemoinformatics. It briefly discusses some active interventions to tackle bias on gender, gender identity, and geographic affiliation in STEM.
Keyphrases
  • mental health
  • public health
  • nucleic acid
  • working memory
  • drug discovery