The Convergence Curriculum for Geospatial Data Science:
Open Resources for You and your Learners
Date: Monday, November 14, 2022 Time: 2:00 pm (Central Time)
The Convergence Curriculum for Geospatial Data Science is an integrative framework to prepare next-generation and current-generation students, scholars, and professionals to build the necessary knowledge, skills, and competencies to tackle convergent problems without requiring a series of 15-week courses. In this VCO, we provide a brief overview of the draft version of the curriculum and how it can be used, and then open the remaining time for questions and feedback
Department of Geography, Environment, and Society at the University of Minnesota in the Twin Cities
His research and teaching are focused on geospatial computing, which is situated at the intersection of geographic information science and computational science. He serves as the Vice-Chair for Education in the University Consortium for Geographic Information Science, Domain Champion for GIS in the Extreme Science and Engineering Discovery Environment (XSEDE), PI of the NSF-supported Hour of CI project, and co-lead of the Education and Workforce Development team for the NSF-supported I-GUIDE project.