Women in Data Science Initiative

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In the field of AI and data science, companies lag in their ability to attract and retain talent, innovate, and meet shareholder/stakeholder expectations. As a significant portion of the population, the immense potential of women's talent is still excluded. Women in Data Science (WiDS) addresses the gender imbalance in data science/AI and works to remove barriers along the woman's journey – from her secondary school years to becoming a leader in her field. WiDS was sparked at Stanford University, California by Dr. Margot Gerritsen, Karen Matthys, and Dr. Esteban Arcaute,[1] as the Women in Data Science (WiDS) Worldwide Initiative. Their mission is to achieve 30% representation for women in the field of data science by 2030, with a long-term vision of full and equal representation in decision-making, economic prosperity, and opportunities.[2] WiDS's position on being able to create impact is with a strong network of universities, a global ambassador model, holistic programs addressing data science barriers, and nine years of experience with educational resources, this initiative provides scalable, culturally sensitive support and reaches over 150,000 women worldwide.

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