Abstract:
Computational thinking has become pervasive across many technical and creative disciplines. Creating a computationally literate workforce capable of recognizing and elimi...Show MoreMetadata
Abstract:
Computational thinking has become pervasive across many technical and creative disciplines. Creating a computationally literate workforce capable of recognizing and eliminating algorithmic discrimination requires diverse perspectives and lived experiences. Diversity within computing is a persistent problem; in 2014, several large tech companies released diversity reports and made commitments to improvement. As of 2020, improvements have been minor, especially for Black employees. Compared to US demographics, the percentage of Black and Latinx students pursuing degrees in computing remains low, even as numbers improve in STEM more broadly. It is more important than ever to prioritize a diverse computing workforce and a computationally literate workforce, more broadly, whose interests reside with equitable outcomes.
Published in: 2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT)
Date of Conference: 23-27 May 2021
Date Added to IEEE Xplore: 30 November 2021
ISBN Information: