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Title:SC18 Computing4Change Executive Summary Report
Author(s):Rivera, Lorna; DeStefano, Lizanne
Subject(s):SC
supercomputing
Computing 4 Change
Computing4Change
xsede
Abstract:The SC18 Computing4Change Competition (C4C) was a 5-day long student engagement experience co-located at the SC18 conference from November 11–15, 2018. C4C’s roots can be traced to the XSEDE16 conference student program where over half of the 98 participating students came from underrepresented groups in computing including women (37%) and racial and ethnic minorities (50%). Building on the XSEDE16 student program’s reported success of recruiting and engaging diverse students in advanced computing, organizers developed the broader Advanced Computing for Social Change Institute (ACSCI) with the intention of creating similar opportunities for underrepresented students. A subsequent SC16 challenge served as a pilot for extending this experience and was funded in part by SC and the eXtreme Science and Engineering Discovery Environment (XSEDE). This year’s program at SC18 was supported in part by XSEDE as well as the Advanced Computing Machinery’s (ACM) Special Interest Group on High Performance Computing (SIGHPC). Objectives of the program include; 1) engaging students in a socially relevant challenge utilizing advanced computing techniques, 2) increasing the participation of students historically underrepresented in STEM at SC conferences, and 3) creating a cohort of students to serve as future ambassadors at SC conferences. The SC18 challenge was designed to teach computation, data analysis, and visualization techniques in order to take a data centric view of the rhetoric surrounding violence in the United States of America. The evaluation of this challenge was conducted to provide valid and useful information to program organizers and funders in order to guide program improvement and facilitate sustainability.
Issue Date:2019-03-04
Citation Info:Rivera, L., & DeStefano, L. (2019). SC18 Computing4Change Executive Summary Report. The eXtreme Science and Engineering Discovery Environment; cyberinfrastructure award through the National Science Foundation.
Genre:Technical Report
Type:Text
Language:English
URI:http://hdl.handle.net/2142/103122
Date Available in IDEALS:2019-03-04


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