The Data Science Education & Workforce Working Group
First Friday of every quarter at 11AM EST! Meets virtually!
Join the Group- CLICK HERE
The Data Science Education and Workforce Working Group (DSEW) consists of national 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.
DSEW 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:
- Highlight funded Data Science or AI 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 on a quarterly basis, if you are interested in the group, join the mailing list CLICK HERE.
Working Group Chair
Dr. Renata Rawlings-Goss, Georgia Institute of Technology
Dr. Renata Rawlings-Goss is the Executive Director of The South Big Data Innovation Hub, an NSF-funded 16-state center connecting industry, academia, and government around data science innovation. She is the Director of Strategic Partnerships for the Georgia Institute of Technology- Institute for Data Engineering and Science (IDEaS).
Formerly, Dr. Rawlings-Goss worked with the White House Office of Science and Technology Policy while at the National Science Foundation CISE-OAD founding the National Data Science Organizers and co-leading the writing team for the Federal Big Data Strategic Plan.
Speaker Nomination
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, and resources in one of the three focus areas, or nominating a colleague, please sign up to be a speaker CLICK HERE. For questions please contact Carolyn Young (carolyn.young@gtri.gatech.edu)
March 2024 Presenters
 | Earvin Balderama | Assistant Professor, Fresno State |
Title: The DEDICATE Project and Faculty Training Workshops
Bio: Earvin Balderama is an assistant professor in the Department of Mathematics at Fresno State, teaching graduate and undergraduate statistics and data science courses including biostatistics, probability theory, machine learning, statistical computing and consulting. Earvin Balderama is a Johanson Entrepreneurship Fellow, a California Water Institute Faculty Fellow, and a co-PI of the recently funded NSF-INCLUDES project, DEDICATE: Data Science Equity-Driven Inquiry to Create Accessible Project-based Training for Social Impact Education.
Prior to Fresno State, Earvin Balderama received a PhD in Statistics from UCLA, was a postdoc at NC State, and spent four years at Loyola University Chicago as faculty in the Department of Mathematics and Statistics. Earvin Balderama is passionate about the subject of statistics, learning new things, and sharing that knowledge. His goal is to make statistics accessible and fun for all students so they are motivated to pursue more statistics in their education. He hopes to be able to instill in students a true appreciation for statistics and learning that they can take with them beyond the classroom in a way that will be useful to them in their everyday lives. Outside of work, Earvin Balderama enjoys volleyball, rock climbing, and spending time with his 4-year-old daughter.
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 | John Harnisher | Head of Research, DataKind |
Title: Call for Collaborations
Bio: John brings over 20 years of experience as a leader and researcher in the fields of data modeling, analytics, assessment, employee selection and organizational development to DataKind. Before joining DataKind, John led research, data science, machine learning and assessment functions for Kaplan, Talogy (previously PSI Caliper) and I/O solutions. John is a strong believer in developing and completing research and data science projects that positively impact society. John holds a BA in psychology from Connecticut College, a Master of Science in I/O Psychology from NYU and a PhD in Organizational Psychology from NYU.
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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.