Unseen and Unsolved: Women Helping Women Through Data Science

March 25, 2021 12pm ET

In her book “Invisible Women: Data Bias in a World Designed for Men,” Caroline Criado Perez illuminates the ways institutional bias and gendered information gaps impede the development of solutions that materially affect the lives of women. Many of the social problems disproportionately affecting women remain unseen and unsolved. We are convening women who work with and through technology and data science to raise the visibility of and create solutions for these challenges – women committed to helping women.

Ginger Zielinskie, Chief Strategy Officer at data.org moderates a discussion with four powerhouse women in data science for a robust discussion of the challenges and tangible ways women are illuminating unseen problems and delivering innovative solutions with data science and technology.

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Dr. Mary-Ann Etiebet has two decades of experience improving health care outcomes for vulnerable populations and transforming health care delivery at the frontlines. She is the Lead & Executive Director of Merck for Mothers, Merck’s $500M global health initiative to help create a world where no woman has to die while giving life.

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  • Moderator

Ginger Zielinskie

Chief Growth Officer

Federation of American Scientists

Ginger Zielinskie is the Senior Advisor at data.org, where she works to bring the power of data science to the world’s most challenging social problems. With over twenty years of experience, Ginger serves as an action-oriented executive leader focused on building strong partnerships to achieve systematic and meaningful change.

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