MBDH Priority Area: Data Science Education and Workforce Development
Current demand for professionals with data acumen, across industry, academia and government, and the civic sector, is high and growing, leading to a critical need for a well-trained, data-savvy workforce to address real-world problems. Educational and research activities are needed to advance the knowledge base to train a new generation of data science-enabled specialists and a more general data-savvy workforce able to apply data methods and tools, and make interpretations about analytical output.
We hold frequent conversations with industry and government representatives on workforce-development needs, and engage directly with data-oriented education programs at universities across the Midwest, and in national venues. We work with partners on pilot projects to improve access to data tools and services, produce and host training events, and support participation at events hosted by others. Our engagement amplifies current federal investments, and facilitates new collaborations and proposals.
The Midwest Big Data Hub is engaged in regional and national data-related education activities, including event production or sponsorship, planning grants and community development, and policy development, including:
- • Organizing a monthly webinar series of student-led data science-oriented groups;
- • The Midwest Big Data Summer School, developed and run annually at Iowa State University;
- • Fostering data-science education and curriculum development at predominately undergraduate institutions, community colleges, tribal colleges, and HBCUs;
- • Supporting student hackathons with challenges focused on MBDH priority areas;
- • MBDH-sponsored Data Carpentry workshops and “train-the-trainer” events, coordinated by the University of North Dakota; and,
- • Regular participation in national leadership and stakeholder meetings on Data Science.
More information on MBDH Data Science Education activities:
The Midwest Big Data Innovation Hub Learning Innovation Fellows Program, housed at the University of Michigan School for Environment and Sustainability, enables teams to form for work toward better understanding of the intersections of the Hub’s “Cyberinfrastructure and Data Sharing” and “Data Science Education and Workforce Development” themes. Our fellows work with faculty and teaching […]
The Midwest Big Data Hub co-led local participation in the 4th annual Global Women in Data Science (WiDS) Conference, with sponsorship from the National Center for Supercomputing Applications (NCSA) and the University of Illinois. The event was free and open to all. The WiDS Conference, hosted on March 4th at 150 locations around the world, […]
By Matt Fall Executive Director, Center for Data Science, Lansing Community College Recently, the American Statistical Association (ASA), with support from the National Science Foundation (NSF), hosted a two-day summit in Washington D.C. to discuss outcomes and curricula for data science programs at two-year colleges. The Two-Year College Data Science Summit (TYCDSS) was intended to […]
Midwest Big Data Summer School reveals how big data can advance research efforts By Paula Van Brocklin, Office of the Vice President for Research, Iowa State University The Midwest Big Data Summer School, held May 14-17 at Iowa State University, helped nearly 140 academic and industry researchers, graduate students and post-docs from nine states broaden […]
part of Hub’s focus on Smart, Connected, and Resilient Communities UIUC collaborators and mentors meet with HackIllinois teams on US Ignite Challenge The University of Illinois at Urbana-Champaign (UIUC) was awarded a $20,000 grant from US Ignite to host a Smart Gigabit Communities Reverse Pitch Challenge. The MBDH, along with other local partners (see below), […]
A new report on the “Keeping Data Science Broad: Negotiating the Digital and Data Divide Among Higher Education Institutions” initiative was released by the South Big Data Hub and collaborators, including the Midwest Hub. This initiative brought together the BD Hubs community and other stakeholders to explore pathways for keeping data science education broadly inclusive.