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, June 4, 2021 at 11AM EST.
Dr. Joyce Malyn-Smith
Talk Title: Tools for Developing New Data Pathways in Community Colleges
Joyce Malyn-Smith is a national expert on STEM career development and workforce education. She leads a body of work that explores how people develop skills and knowledge in and out of school then translate those into productive and rewarding careers. Her projects develop industry/ education connections in computational thinking, big data, artificial intelligence (AI), and other advanced technologies. Malyn-Smith’s research focuses on the future of work and its implications for lifelong learning. She investigates the skills and dispositions humans will need as they partner with machines in problem solving, what it means to be human in the age of AI, and the foundational skills K–20 students need to prepare for work at the Human-Technology Frontier. Malyn-Smith collaborates with community colleges to advance knowledge of the expertise needed in emerging occupations and in occupations that are changing dramatically due to new technologies. She also develops standards-based tools and resources to ensure schools align their programs and curricula with changing industry demand. Malyn-Smith hold an EdD from Boston University in business/career education and bilingual education leadership.
Dr. Jianwu Wang
Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences
Dr. Jianwu Wang is an Assistant Professor at the Department of Information Systems, University of Maryland, Baltimore County (UMBC). He is also an affiliated faculty at the Joint Center for Earth Systems Technology (JCET), UMBC. He received his Ph.D. degree in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences in 2007. His research interests include Big Data Analytics, Scientific Workflow, Distributed Computing, Service Oriented Computing. He has published 100 papers with more than 1500 citations (h-index: 20). He is/was associate editor or editorial board member of four international journals, conference organization committee member of eight conferences and co-chair of eight related workshops. He is also program committee member for over 40 conferences/workshops, and reviewer of over 15 journals or books. Since joining UMBC in 2015, he has received multiple grants as PI funded by NSF, NASA, DOE, State of Maryland, and Industry. He is also an NSF CAREER awardee. His current research interests include Big Data Analytics, Distributed Computing and Scientific Workflow with application focuses on climate and manufacturing.
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).