The Education & Workforce Working Group meets virtually the first Friday of every month 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 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.
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 Kendra Lewis-Strickland at email@example.com.
Resources for Learners, Educators, Program Leaders and General Purposes
Each month the speakers provide and reference valuable resources to benefit the Education & Workforce Community. Resources include course curriculum, course designs, course materials, and other resources.
Friday, July 8, 2022 at 11AM EST.
|Ashok Krishnamurthy | EduHelx: Empowering data science education|
Ashok Krishnamurthy is the Interim Director of the Renaissance Computing Institute (RENCI) and a Research Professor of Computer Science at the University of North Carolina, Chapel Hill. He is also the Co-director for Informatics and Data Science (IDSci) at NC TraCS. Krishnamurthy has many years of experience with informatics and data science including data science cyberinfrastructure, medical image analysis, time-series data analysis, machine learning and high performance computing. He has over 15 years’ experience as both a researcher and an administrator in advancing cutting-edge research in interdisciplinary teams. Krishnamurthy collaborates with researchers in informatics, biomedical and health research, and social sciences to develop projects and programs that leverage the power of data science and scalable computing to solve challenging problems that advance the state-of-the-art. He advises undergraduate and graduate students and mentors post-doctoral scholars and junior investigators. He is also involved in managing and enhancing research partnerships with faculty at UNC-Chapel Hill, Duke University, and North Carolina State University, along with building relationships between RENCI and Triangle area businesses. Ashok’s research over the years has been funded by NSF, NIH, DoD, DARPA and DOE. Krishnamurthy holds PhD and master’s degrees in electrical and computer engineering from the University of Florida and a bachelor’s degree in electrical engineering from the Indian Institute of Technology.
|Isma Gilani | EduHelx: Empowering data science education|
Isma Gilani’s career in Computer Science, spanning multiple industries, has enabled her to build solid skills in key areas of software development ranging from requirements gathering and analysis, user centered design, solution development, and implementation.
She has become a key contributor in the development of the HeLx framework, which was motivated by the need for collaboration among scientists and researchers in light of the challenges faced by exponential growth in generation of scientific data. Her in-depth comprehension of HeLx’s architecture, its foundational technologies such as Docker, Kubernetes, and Python/Django, as well as the ability to interface with users enables her to bridge the gap between humans and technology and come up with an effective plan to design, develop, and deploy the right system.
Somya D. Mohanty | A software and analytics tool to map graduate data science courses
|Somya is currently working as an assistant professor in the Department of Computer Science at the University of North Carolina – Greensboro. Prior to this, Somya worked as Assistant Research Professor (and lead the Innovative Data Laboratory) at Social Science Research Center – Mississippi State University. Somya received a B.S. in Computer Science and Engineering from Berhampur University, M.S. in Computer Science from Florida State University, and a Ph.D. degree in Computer Science and Engineering from Mississippi State University. Somya's research interests include big-data, machine learning, data science, cyber-security, and trustworthy computing, and specializing in large scale databases, data-mining, algorithm design, web application, network security, trustworthy platform development, and computer security. Somya's current teaching interests include Security and Data Science related courses.|
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).