Collaborative Research: RAPID: Investigating Impacts of and Response to COVID-19 in the Technology Innovation Enterprise
Collaborative Research: RAPID: Investigating Impacts of and Response to COVID-19 in the Technology Innovation Enterprise
批准号:
2031984
负责人:
Jamie Payton
金额:
$1.53万
依托单位:
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
项目状态:
已结题
起止时间:
2020-07-01 至 2022-06-30
中文摘要
新冠肺炎疫情正在迅速改变我们个人和职业生活的格局,疫情对创新企业的影响是深远的。该行业正在经历招聘冻结和裁员。教师和大学教职员工不得不迅速转向在线课程交付。学生们还不得不转向在线课程,许多学生面临着失去为支持他们的工作而设立的公共实验室的局面。如果我们要能够有效地应对大流行的影响,最重要的是我们迅速、实时地从创新界收集系统数据。这一快速奖项将评估从K-12教育到技术劳动力的计算创新社区的状况。通过对新冠肺炎疫情对社区的短期、中期和长期影响的调查,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提供信息。这将支持技术创新企业缓解COVD-19大流行造成的破坏,帮助稳定美国创新生态系统。在这个快速奖项中,AnitaB.org、国家妇女和信息技术中心(NCWIT)和STAR计算团队将收集与新冠肺炎大流行对计算创新企业的短期和长期影响相关的数据。由于新冠肺炎的情况在不断变化,在这些早期捕获数据并建立一个信息基线是至关重要的,我们将能够在此基础上随着情况的发展而发展。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,这些影响与与计算机学位课程和专业的持久性相关的因素有关。该团队将通过收集来自K-12教师、大专项目负责人、教育工作者和学生以及计算劳动力个人的数据,在整个计算生态系统中进行抽样。他们将评估以下研究问题,以了解个人和组织层面的影响:1.计算生态系统(K12,中学后,行业,初创企业)如何应对新冠肺炎危机?2.从计算教学(K12,中学后)和研究的设计和交付,以及行业技术人员的经验来看,新冠肺炎危机对计算机社区的短期、中期和长期影响是什么?该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
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
期刊:
Proceedings of the 52nd {ACM} Technical Symposium on Computer Science Education
影响因子:
--
作者:
[Brown, Quincy, Dubow, Wendy, Payton, Jamie, Quinn, Beth A., Bizot, Betsy]
通讯作者:
Bizot, Betsy
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