Inclusivity and Data Science (with Brandeis Marshall)
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.
Links from the show
DATAFRAMED GUEST SUGGESTIONS
- DataFramed Guest Suggestions (who do you want to hear on DataFramed?)
FROM THE INTERVIEW
- Brandeis on Twitter
- The BlackTwitter Project
- The Impact of Live Tweeting on Social Movements (By Brandeis Marshall, Takeria Blunt, Tayloir Thompson)
- EvergreenLP: Using a social network as a learning platform (By Brandeis Marshall, Jaye Nias, Tayloir Thompson, Takeria Blunt)
- Journal of Computing Sciences in Colleges (By Brandeis Marshall)
- DSX (Data Science eXtension Faculty development and undergraduate instruction in data science)
- African American Women Computer Science PhDs
- 500 Women Scientists
- Black in AI
- Women in Machine Learning
FROM THE SEGMENTS
What Data Scientists Really Do (with Hugo Bowne-Anderson & Emily Robinson ~21:30 & ~41:40)
- What Data Scientists Really Do, According to 35 Data Scientists (Harvard Business Review article by Hugo Bowne-Anderson)
- What Data Scientists Really Do, According to 50 Data Scientists (Slides from a talk by Hugo Bowne-Anderson)
Original music and sounds by The Sticks.
