Exploring the Data on Dual Pandemics: How Racism and COVID-19 Have Impacted the Computing Community
Exploring the Data on Dual Pandemics: How Racism and COVID-19 Have Impacted the Computing Community
复制标题
探索双重流行病的数据：种族主义和 COVID-19 如何影响计算社区
DOI：
10.1145/3408877.3432576
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Bizot, Betsy
中科院分区：
文献类型：
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作者：
Brown, Quincy;Dubow, Wendy;Payton, Jamie;Quinn, Beth A.;Bizot, Betsy
随着新冠肺炎疫情的开始蔓延，有关其对生活、公共和私营行业以及教育系统的影响的报道开始涌现。几乎在同一时间，美国长期存在的种族主义大流行被称为最重要的问题。计算社区的政策、结构和成员也不能幸免于这些双重流行病的影响。虽然我们还不知道对计算机界的长期影响，但已经出现了几项努力，通过数据收集和分析来促进我们的理解。该小组介绍了由多个组织进行的调查的初步结果，这些调查探讨了这两种流行病对计算机界工作条件和教育的影响，重点是对在计算机领域历来代表性不足的人群的影响。该小组邀请人们讨论在应对这些流行病时出现的有希望的(和不那么有希望的)做法，以及支持计算社区的下一步措施。
As the COVID-19 pandemic began to unfold, reports of the impact on lives, public and private industry, and education systems began to emerge. Almost simultaneously, the long-standing pandemic of racism in the U.S. was called to the forefront. The policies, structures, and members of the computing community are not immune from the impacts of these dual pandemics. While we do not yet know the long-term effects on the computing community, several efforts have emerged to advance our understanding through data collection and analysis. This panel present preliminary findings from surveys conducted by multiple organizations that explore the impact of these dual pandemics on conditions of work and education in the computing community, with a focus on the impacts on populations that have been historically underrepresented in computing. The panel invites discussion about promising (and not-so-promising) practices that have emerged in response to these pandemics and next steps to support the computing community.