Education and Workforce Working Group



Join the Education & Workforce Working Group

The Education & Workforce Working Group meets virtually on the first Friday of every quarter at 11AM EST!

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 quarterly working group calls.  If you are interested in sharing your research, projects, or resources, please contact Carolyn Young and Renata Rawlings-Goss

The Data Science Education and Workforce Working Group is an open quarterly 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: 

  1. Highlight funded Data Science education projects, programs, and resources 
  2. Share best-practices for project-based courses & teaching approaches
  3. Provide experiences with assessment or evaluation approaches for Data Science teaching or Data Science programs.

The Education & Workforce Working Group meets virtually on a quarterly basis, if you are interested in the group, join the mailing list.


Interested in Project-Based Teaching or Program Assessment?  

Join of our two sub-working groups focused on these topics.  These sub working groups are led by community members to define the direction of the sub-working group and the outputs needed in this community.  If you're interested in joining the Project-Based Teaching or Program Assessment sub-working groups, please contact Carolyn Young at


Resources for Learners, Educators, Program Leaders and General Purposes

Each quarter the speakers provide and reference valuable resources to benefit the Education & Workforce Community.  Resources include course curriculum, course designs, course materials, and other resources.

Education & Workforce Working Group Resources


March 3, 2023 Presenters



Rachel Levy - Executive Director, Data Science Academy & Professor of Mathematics, North Carolina State University Title: Making Good on the Promise of Data Science for Everyone

Rachel Levy


Abstract: Still only in its second year, the NC State University Data Science Academy programs have reached all 10 colleges of the university, and students from over 70 programs of study.  Our learners have included undergraduates, graduate students, postdocs, faculty, staff, alumni and community members.  In partnership with the NC State University Libraries, we also provide collaborative consulting to our community.  External support has included the National Science Foundation, the Alfred P. Sloan Foundation,, Vontier, and the Consortium for Mathematics and its applications.  In this talk I will discuss some of the principles that have guided our program development and strategic planning in our startup and building phase.

Bio: Dr. Rachel Levy (Ray) is the inaugural Executive Director of the Data Science Academy at NC State University and Professor of Mathematics. She incubates data science research partnerships within the university, across NC and beyond, leads the design and implementation of the DSA’s ADAPT course model (All-Campus Data Science Accessible Project Based Teaching and Learning), and communicates about data science with national and international audiences.

Prior to joining NC State, Dr. Levy was an American Mathematical Society Congressional Policy Fellow at the American Association for the Advancement of Science. She previously served as deputy executive director and staff principal investigator at the Mathematical Association of America, as well as associate dean for faculty development at Harvey Mudd College.

Levy has received funding from government grants and foundation and private donations to enable her research in applied mathematics, education, and professional development. She has developed professional networks, written numerous publications, taught as an interdisciplinary educator, and has sparked national and international cooperation in educational policy.  

Levy holds Bachelor of Arts degrees in mathematics and English from Oberlin College, a Master of Arts in educational media and instructional design from the University of North Carolina at Chapel Hill, and a Master of Science and Ph.D. in applied mathematics from NC State.

Karl Schmitt - Assistant Prof. & Program Coordinator of Data Analytics, Trinity Christian College Title: Assessing Program-Level Communication Goals in Data Science


Abstract: In this presentation, I will report out on the work from the Program Assessment sub-group from 2021-2022. That working group explored program-level outcomes (PLOs) and related assessment issues for data science degrees. Our final report and recommendations focus on communication related PLOs. I will detail out the group's conclusions around a recommended scope for a communication PLO and suggested best practices for assessing student achievement of that PLO. Time will be left for discussion and feedback on the recommendations.

Bio: Karl is engaged in a variety of Data Science Educational, most recently by serving as a member of the ACM Data Science Task Force to develop their curricular recommendations for Data Science. He was the founding director of Valparaiso University's undergraduate Data Science degree and ran Valpo's Masters in Analytics and Modeling program for 5 years. Karl is now the Program Coordinator for Data Analytics at Trinity Christian College and is part of implementing the new program there, alongside a new Data Center. Karl specializes in data science as applied to networks and graphs.

Working Group Chairs

Renata Rawlings-Goss-Georgia Institute of Technology (chair).

For questions please contact Carolyn Young (

View Past Working Group Meeting Notes

Click Here for Past Speakers

View Past Presentations on the South Hub Youtube 

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