Many research universities are already developing comprehensive data science programs at the undergraduate and graduate levels. As the movement to develop data science programs grows, a gap appears to be forming that separates the research institutions from primarily undergraduate-focused institutions (i.e. teaching institutions, community colleges, minority-serving institutions, etc.), which are mostly absent and unheard in the movement to develop data science programs. The workshop on Negotiating the Digital and Data Divide will explore the Data Divide issue by bringing together stakeholders from teaching institutions, community colleges, tribal colleges, and
This webinar will highlight universities, teaching institutions, community colleges, and minority-serving institutions that have implemented data science education undergraduate programs as case studies for workshop participants to consider and compare to their own contexts.
Paul Anderson - College of Charleston
Gene Ray - Kennesaw State University
Mary Rudis - Great Bay Community College
Karl Schmitt - Valparaiso University
Pei Xu - Auburn University
This webinar will highlight efforts that build data science education capacity outside of the context of tradition curricular program development. This may include integration of data science into courses and curricula outside of the traditional CS/math/stats context (i.e. Arts and Humanities), expansion of capacity by integration of third party or shared resources (i.e. MOOCs and open source educational resources) into curricula, and additional educational options outside of traditional courses (i.e. Faculty training, Data Science for Social Good Programs, and Bootcamps).
Lior Shamir - Lawrence Technical University
Tracy Teal - Data Carpentry
Stephen Uzzo - New York Hall of Science
Al Herron - The Breakfast Group
Sarah Stone - Data Science for Social Good