Practical AI Women in Data Science (WiDS)
Mar 30, 2021
Margot Gerritsen, a Stanford professor and co-founder of the Women in Data Science initiative, shares her inspiring journey from a working-class background in the Netherlands to academia. She emphasizes the critical need for diversity in STEM and discusses the biases women face in male-dominated fields. Margot advocates for cultural change to foster inclusivity and highlights the importance of supporting young girls in pursuing careers in data science. Her personal anecdotes serve as a reminder of the collective responsibility to empower the next generation of female STEM professionals.
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Margot's Journey to Stanford
- Margot Gerritsen, born in Zeeland, Netherlands, pursued math due to broad interests.
- Her path to Stanford was accidental, sparked by a scholarship and a newfound passion for teaching.
The Need for Normalization
- Persistent gender bias and myths hinder women in STEM, despite their accomplishments.
- Normalizing women in STEM is crucial for progress, says Margot Gerritsen.
Promoting Women and Diversity
- Actively promote women in STEM to showcase their work and normalize their presence.
- Challenge homogenous teams to embrace diversity and avoid echo chambers that limit innovation.
