Increasing Representation in Curriculum and Faculty

One challenge in data science education for women is the underrepresentation in curriculum content and among faculty members. Often, textbooks and course materials lack inclusion of women's contributions to the field, which can perpetuate a sense of non-belonging. An opportunity here involves actively incorporating diverse perspectives and achievements into educational materials and working to attract and retain more female faculty members in data science departments. This visibility can inspire and motivate more women to pursue and excel in data science.