Driving Diversity in Data Science & Analytics

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Presented by

Polly Mitchell-Guthrie, Vanessa C. Martin, Afyia Miller, Fay Cobb Payton

About this talk

Tentative Schedule: 2:00pm: Intro 2:05pm: Driving Diversity in Data Science & Analytics 2:45pm: Q&A How diverse is the lucrative, growing field of data science & analytics? Does the current demographics composition of this field prognosticate a promising future of diversity? In this panel, we’ll look at the current state of diversity in data science, why these historic inequities matter, & what we can all do to do better. We will draw from the experiences of our panelists who can speak from the point of view of an underrepresented group (female &/or POC) in STEM. We will elicit our speakers’ viewpoints on a number of issues including a lack of STEM education for minority groups early on in life, opportunities of mentorship for women / POC in data science, & how we can better catch up to gender balance policies. Our aim is to move the needle & broaden the data science & analytics field to include more women & people of all kinds who don’t fit the narrow stereotypes of the time.
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