The Education and Data Science Workforce Group consists of South Hub members from industry, academia, and government actively engaged in securing funding for and developing: (1) the use of government open data to support education and training in data science; (2) faculty and student data science training and curriculum development; (3) broadening and deepening the data science talent and workforce base; (4) connecting training in academia to industry and government needs, and (5) workforce development experiences for students to connect to industry, government, and non-profit organizations.
Chaired by Renata Rawlings-Goss
The South Hub Education and Workforce Working Group is seeking speakers for monthly working group calls. If you are interested in sharing your research, projects, or resources, please contact Kendra Lewis-Strickland and Renata Rawlings-Goss.
The Data Science Education and Workforce Working Group is an open monthly professional working group for data science educators and program leaders to talk and hear from other programs around the country, as well as learn about resources for connecting with data, tools, industry partners, and research.
The focus of the group is to:
- Highlight funded Data Science education projects, programs, and resources
- Share best-practices for project-based courses & teaching approaches
- Provide experiences with assessment or evaluation approaches for Data Science teaching or Data Science programs.
The Education & Workforce Working Group meets virtually the first Friday of every month at 11AM EST, if you are interested in the group, join the mailing list.
Friday, May 7, 2021 at 11AM EST.
Dr. RN Uma
Talk Title: Data Science for Social Justice: An Approach to Broaden Participation
Dr. R. N. Uma is a Professor of Computer Science in the Department of Mathematics and Physics at NC Central University, Durham, NC, USA. Her research interests include data science, scheduling and resource allocation with applications to cloud computing, robotics, wireless sensor networks, multimedia networking, and large logistics problems. Her research has spanned from purely theoretical to experimental and simulations. She has published several papers in leading conferences and journals, and a book, in her areas of expertise. On the education front, she is interested in increasing the enrollment and retention of minority students, particularly in the Mathematical Sciences including Computer Science, and towards this end has implemented several federally funded projects. She has served her professional community in a variety of roles including guest editor, TPC Co-Chair, and Publications Chair in addition to routine roles such as TPC Member, Reviewer and Session Chair. She received her BSc degree in Mathematics from the University of Madras, Chennai, India, her ME degree in Computer Science from the Indian Institute of Science, Bangalore, India, and her PhD degree in Computer Science from NYU Tandon School of Engineering, New York. She is a senior member of IEEE.
Working Group Chairs
Renata Rawlings-Goss-Georgia Institute of Technology (chair), Andrew Zieffler- University of Minnesota (co-chair), Chris Tunnell- Rice University (co-chair), and Leah Wasser – University of Colorado Boulder (co-chair).