Advanced computing for social change - Educating and engaging our students to compete in a changing workforce∗

Kelly Gaither, Rosalia Gomez, Linda Akli, Ruby Mendenhall, Marques Bland, Susan Fratkin, Lorna Rivera, Lizanne DeStefano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Visualization taps into the very best capabilities of our brains, transforming data that is fundamentally abstract as numbers into something that communicates and illuminates information ranging from the simple to the complex. There is a growing interdependence amongst society, humanity, technology and science. Simultaneously, interdisciplinary science has taken a critical role in understanding and solving what has become a multi-faceted realm of large, complex problems. This is contrasted by a looming global workforce shortage in those educated in computational science. In response, we have developed a new model for engaging students, the advanced computing for social change initiative, teaching computational skills in the context of relevant social issues. This paper provides rationale for our inaugural challenge, including evaluation data and recommendations1.

Original languageEnglish (US)
Title of host publicationPEARC 2017 - Practice and Experience in Advanced Research Computing 2017
Subtitle of host publicationSustainability, Success and Impact
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352727
DOIs
StatePublished - Jul 9 2017
Event2017 Practice and Experience in Advanced Research Computing, PEARC 2017 - New Orleans, United States
Duration: Jul 9 2017Jul 13 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128771

Other

Other2017 Practice and Experience in Advanced Research Computing, PEARC 2017
CountryUnited States
CityNew Orleans
Period7/9/177/13/17

Keywords

  • Computational thinking
  • Visualization
  • Workforce development

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Gaither, K., Gomez, R., Akli, L., Mendenhall, R., Bland, M., Fratkin, S., Rivera, L., & DeStefano, L. (2017). Advanced computing for social change - Educating and engaging our students to compete in a changing workforce∗. In PEARC 2017 - Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact [a50] (ACM International Conference Proceeding Series; Vol. Part F128771). Association for Computing Machinery. https://doi.org/10.1145/3093338.3093391