DataFramed

#51 Inclusivity and Data Science

February 04, 2019 Season 2 Episode 51
DataFramed
#51 Inclusivity and Data Science
Chapters
DataFramed
#51 Inclusivity and Data Science
Feb 04, 2019 Season 2 Episode 51
DataCamp
Brandeis Marshall discusses the biggest barriers to entry for people of color in data science, initiatives that currently exist and what we as a community can do to promote diversity.
Show Notes

This week Hugo speaks with Dr. Brandeis Marshall, about people of color and under-represented groups in data science. They’ll talk about the biggest barriers to entry for people of color, initiatives that currently exist and what we as a community can do to be as diverse and inclusive as possible.

Brandeis is an Associate Professor of Computer Science at Spelman College. Her interdisciplinary research lies in the areas of information retrieval, data science, and social media. Other research includes the BlackTwitter Project, which blends data analytics, social impact and race as a lens to understanding cultural sentiments. Brandeis is involved in a number of projects, workshops, and organizations that support data literacy and understanding, share best data practices and broaden participation in data science.


LINKS FROM THE SHOW

DATAFRAMED GUEST SUGGESTIONS

FROM THE INTERVIEW

FROM THE SEGMENTS

What Data Scientists Really Do (with Hugo Bowne-Anderson & Emily Robinson ~21:30 & ~41:40)


Original music and sounds by The Sticks.