Women in Data Science: Moving from Inclusion to Influence
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At Penn's Women in Data Science conference, representatives from the field discussed some of the obstacles to working successfully in an area that's still dauntingly opaque to many.…Read More
At Penn's Women in Data Science conference, representatives from the field discussed some of the obstacles to working successfully in an area that's still dauntingly opaque to many.
Why you need more women on your data science team
Women Leaders in Data Science: Top Influentials from the Industry
10 ways Elsevier is using data to drive inclusion
Women in Data Science: Moving from Inclusion to Influence
Inclusion Takes Root at Netflix: Our First Report - About Netflix
How Data Science Diversity Can Actually Create Better Products
The Open Secret of What Works—and What Doesn't—for Diversity
INTERVIEW: Women in Science Now with Lisa Munoz
Women in Data Science: Tracking Progress and Impact
Frontiers The Inclusive Professional Framework for Societies
Diversity in Data Science: A Systemic Inequality