Roundtable on Data Science Postsecondary Education Meeting #8:
Challenges and Opportunities to Better Engage Women and Minorities in Data Science Education
September 17, 2018
Georgia Institute of Technology
Bill Moore Student Success Center, Press Room A/B
225 North Ave. NW
Atlanta, GA 30332
The National Academies of Sciences, Engineering, and Medicine will hold a one-day meeting and webcast on "Challenges and Opportunities to Better Engage Women and Minorities in Data Science Education" on September 17, 2018 in Atlanta, GA. The meeting will bring together data scientists and educators in academia and industry to 1) discuss existing efforts in computing, statistics, and mathematics societies improve core fields' engagement with women and minorities, and 2) learn about several new programs focused on broadening participation in data science.
Written meeting highlights
Monday, September 17
Challenges and Opportunities to Improve Female and Underrepresented Minority Participation in Data Science
Welcome and introduction
Eric Kolaczyk, Boston University
Kathy McKeown, Columbia University
Kamau Bobb, Georgia Institute of Technology
Panel Presentations and Discussion
Ayanna Howard, Georgia Institute of Technology & Computing Research Association
Student-Centered Interventions to Retain Women, Underrepresented Minorities, and Persons with Disabilities in Computing
Dalene Stangl, Carnegie Mellon University and former chair of American Statistical Association Committee on Women in Statistics
Celebrating Women in Statistics and Data Science: Goals, Creation, Implementation, and Outcome
Ami Radunskaya, Pomona College & Association for Women in Mathematics
Collaboration, Cohorts, and Comfort Zones: The Three C’s of Community
Panel Discussion--What initiatives are currently in place that are the most effective? Can or should we duplicate them for data science?
Open Roundtable discussion of morning presentations
1:30 p.m .
Renata Rawlings-Goss, South Big Data Hub
Keeping Data Science Broad
Brandeis Marshall, Spelman College
The DSX Project: A First Look at Data Science Education on Spelman and Morehouse Campuses
Lydia Tapia, University of New Mexico
Hispanics and Native Americans in CS: Patterns, Pressures, and Programs
Discussion of afternoon presentations
Breakout Group Discussion
How, if at all, are challenges and successes in diversity different in DS from in CS, mathematics, or statistics?
In what ways can educational experience in the latter help inform the former?
If we were able to obtain as much resources as we wanted, what new programs or initiatives do we think should be put in place?
Report back and closing discussion