Collaborative Research: RAPID: Investigating Impacts of and Response to COVID-19 in the Technology Innovation Enterprise

合作研究：RAPID：调查技术创新企业中 COVID-19 的影响和应对措施

• 批准号: 2031984
• 负责人: Jamie Payton
• 金额: $ 1.53万
• 依托单位: Temple University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2031984&HistoricalAwards=false
• 关键词: Collaborative; Research; RAPID; Investigating; Impacts

The COVID-19 pandemic is quickly altering the landscape of our personal and professional lives, and the impacts from the pandemic on the innovation enterprise are profound. Industry is seeing hiring freezes and layoffs. Teachers and college faculty have had to quickly shift to online course delivery. Students have also had to make the shift to online courses, and many face the loss of communal labs that are set-up to support their work. If we are to be able to respond effectively to the impacts of the pandemic, it is paramount that we quickly gather systematic data, in real-time, from the innovation community. This RAPID award will assess the state of the computing innovation community from K-12 education to the tech workforce. Through a survey of the short, medium, and long term effects of the COVID-19 pandemic on the community, this project will elucidate the current state of persistence in computing degree programs and professions and inform efforts to design and deliver education and workforce opportunities. This will support the technology innovation enterprise in mitigating the disruption caused by the COVD-19 pandemic, helping to stabilize the U.S. innovation ecosystem.In this RAPID award, AnitaB.org, the National Center for Women & Information Technology (NCWIT), and the STARS Computing Corps will gather data related to the short- and longer-term impact of the COVID-19 pandemic on the computing innovation enterprise. Due to the ever-changing COVID-19 situation, it is paramount to capture data in these early days and establish a baseline of information that we will be able to build on as the situation unfolds. The objective of this award is to understand the impact of the global pandemic on the conditions of work and educational environments related to factors associated with persistence in computing degree programs and professions. The team will sample across the computing ecosystem by gathering data from K-12 teachers; post-secondary program leaders, educators and students; and individuals in the computing workforce. They will assess the following research questions to understand impacts at both the individual and organizational levels: 1. How is the computing ecosystem (K12, postsecondary, industry, startup) responding to the COVID-19 crisis? 2. What are the short-term, intermediate, and longer-term impacts of the COVID-19 crisis on the computing community, in terms of the design and delivery of computing instruction (K12, postsecondary) and research and the experiences of technologists in industry?This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

COVID-19 大流行正在迅速改变我们的个人和职业生活面貌，大流行对创新企业的影响是深远的。行业正在经历招聘冻结和裁员。教师和大学教员必须迅速转向在线课程交付。学生们还不得不转向在线课程，许多人面临着失去为支持他们的工作而设立的公共实验室的问题。如果我们要能够有效应对这一流行病的影响，那么我们必须从创新界快速实时收集系统数据，这一点至关重要。该 RAPID 奖项将评估从 K-12 教育到技术劳动力的计算创新社区的状况。通过调查 COVID-19 大流行对社区的短期、中期和长期影响，该项目将阐明计算机学位课程和专业的持续现状，并为设计和提供教育和劳动力机会的努力提供信息。这将支持技术创新企业减轻 COVD-19 大流行造成的破坏，有助于稳定美国的创新生态系统。 在这项 RAPID 奖项中，AnitaB.org、国家妇女与信息技术中心 (NCWIT) 和STARS 计算军团将收集与 COVID-19 大流行对计算创新企业的短期和长期影响相关的数据。由于 COVID-19 形势不断变化，因此在早期捕获数据并建立信息基线至关重要，以便随着形势的发展我们可以在此基础上进行构建。该奖项的目的是了解全球大流行对工作条件和教育环境的影响，这些影响与坚持计算机学位课程和职业相关的因素有关。该团队将通过收集 K-12 教师的数据来对整个计算生态系统进行采样；高等教育项目领导者、教育工作者和学生；以及计算劳动力中的个人。他们将评估以下研究问题，以了解对个人和组织层面的影响： 1. 计算生态系统（K12、高等教育、工业、初创企业）如何应对 COVID-19 危机？ 2. 就计算机教学（K12、中学后）的设计和交付以及研究以及技术人员的经验而言，COVID-19 危机对计算机界有哪些短期、中期和长期影响？该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Exploring the Data on Dual Pandemics: How Racism and COVID-19 Have Impacted the Computing Community

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
• 发表时间: 2021-03
• 期刊: Proceedings of the 52nd {ACM} Technical Symposium on Computer Science Education
• 作者: Brown, Quincy;Dubow, Wendy;Payton, Jamie;Quinn, Beth A.;Bizot, Betsy
• 通讯作者: Bizot, Betsy