Podcast
Episode 51

Inclusivity and Data Science (with Brandeis Marshall)

February 4th, 2019
dataframed
+2

Brandeis 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.

About Brandeis Marshall

Dr. Brandeis Marshall is an Associate Professor of Computer Science in the Computer and Information Sciences Department at Spelman College. Her interdisciplinary research lies in the areas of information retrieval, data science, and social media. Dr. Marshall is the principal investigator of an NSF HBCU-UP Targeted Infusion Project entitled Data Science eXtension, which aims to integrate data science principles into the curriculum at Spelman and Morehouse Colleges. Other research includes the BlackTwitter Project, which blends data analytics, social impact and race as a lens to understanding cultural sentiments. She 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. Dr. Marshall brings nearly 15 years experience in higher education, and 10 years teaching databases and data-related courses. Her engagements have included serving on the program committees for the ACM Richard Tapia Diversity in Computing Conference and Grace Hopper Celebration of Women in Computing. She received her PhD and M.S. in Computer Science from Rensselaer Polytechnic Institute and her B.S. in Computer Science from University of Rochester. 

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