Educational institutions should review and revise their data science curriculums to ensure they are inclusive and do not perpetuate gender stereotypes. This includes incorporating case studies, examples, and problems that reflect a diverse set of perspectives and experiences.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.