Working at the convergence of data science, computational thinking, and issues of social change, the Advanced Computing for Social Change (ACSC) program, part of the XSEDE project, introduces students to data science concepts and tools in the context of a social challenge to provide experience with exploring data; team-based problem solving; and appreciating the importance of communicating ideas more effectively. This session will include introduction to the program and demonstration of curriculum materials developed as part of these projects.
Kate Cahill, Ph.D., (firstname.lastname@example.org) is the education and training specialist for the Ohio Supercomputer Center (OSC). She has used computational modeling in the context of chemistry and currently develops training programs for both local and national High Performance Computing resources. She is also the Education lead for the National High Performance Computing project, XSEDE, at OSC where she aids in computational science curriculum development through faculty training.