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.
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 (firstname.lastname@example.org)
September 8, 2023 Presenters
Stanley Ahalt; Dean of the School of Data Science and Society at the University of North Carolina at Chapel Hill
Title: Can virtual assistants and virtual tutors be trained to be “co-solvers” of problems?"
Bio: Stan Ahalt helped launch the National Consortium for Data Science, a public-private partnership to support a 21st-century data-driven economy, and iRODS, open-source data management software. Also serving as a professor in the College of Arts & Science’s computer science department and associate director of informatics and data science in the North Carolina Translational and Clinical Sciences Institute, In June 2022, Stan Ahalt was named dean of the School of Data Science and Society at the University of North Carolina at Chapel Hill. Before his appointment as dean, Ahalt served as director of the Renaissance Computing Institute (RENCI) for thirteen years. Since joining RENCI in 2009, Ahalt has advanced data science at Carolina by integrating it into the curriculum in the College of Arts & Sciences and helped launch the Carolina Health Informatics Program in the School of Information and Library Science. In addition, Ahalt is well-versed in working across teams. He is passionate about applying data science to address pressing challenges in health care and in environmental and judicial matters. Ahalt has also helped secure $34.5 million in funding for complex data science grants that position Carolina as a leader in this field. Before coming to Carolina, Ahalt served as executive director of the Ohio Supercomputer Center from 2003-2009 and as a professor in the Department of Electrical and Computer Engineering at The Ohio State University for more than two decades. He earned a bachelor and master of science in electrical engineering from Virginia Tech and a doctorate in electrical and computer engineering from Clemson University.
Srinivas Aluru: Executive Director, Institute for Data Engineering and Science and Regents' Professor at Georgia Tech
Title: Retooling a Data Science Institute for the AI Era
Bio: Srinivas Aluru is a Regents' professor in the School of Computational Science and Engineering and serves as the Executive Director of the Institute for Data Engineering and Science (IDEaS) at the Georgia Institute of Technology. He co-leads the NSF South Big Data Regional Innovation Hub and the NSF Transdisciplinary Research Institute for Advancing Data Science. Aluru conducts research in high performance computing, applied data science and AI, and bioinformatics and systems biology. Over the past three decades, his research has been centered around the development and application of advanced computing for solving real-world problems in science and engineering. He is a recipient of the NSF Career award, IBM faculty award, Swarnajayanti Fellowship from the Government of India, the John. V. Atanasoff Discovery Award from Iowa State University, and the Outstanding Faculty Leadership, Reseach, and Research Program Development Awards at Georgia Tech. He is a Fellow of the AAAS, ACM, IEEE, and SIAM, and a member of the IEEE Computer Society Golden Core.
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.