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Collaborating in the Time of COVID-19: The Scope and Scale of Innovative Responses to a Global Pandemic

机译:在Covid-19的时候合作:对全球大流行的创新反应的范围和规模

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The emergence of COVID-19 spurred the formation of myriad teams to tackle every conceivable aspect of the virus and thwart its spread. Enabled by global digital connectedness, collaboration has become a constant theme throughout the pandemic, resulting in the expedition of the scientific process (including vaccine development), rapid consolidation of global outbreak data and statistics, and experimentation with novel partnerships. To document the evolution of these collaborative efforts, the authors collected illustrative examples as the pandemic unfolded, supplemented with publications from the JMIR COVID-19 Special Issue. Over 60 projects rooted in collaboration are categorized into five main themes: knowledge dissemination, data propagation, crowdsourcing, artificial intelligence, and hardware design and development. They highlight the numerous ways that citizens, industry professionals, researchers, and academics have come together worldwide to consolidate information and produce products to combat the COVID-19 pandemic. Initially, researchers and citizen scientists scrambled to access quality data within an overwhelming quantity of information. As global curated data sets emerged, derivative works such as visualizations or models were developed that depended on consistent data and would fail when there were unanticipated changes. Crowdsourcing was used to collect and analyze data, aid in contact tracing, and produce personal protective equipment by sharing open designs for 3D printing. An international consortium of entrepreneurs and researchers created a ventilator based on an open-source design. A coalition of nongovernmental organizations and governmental organizations, led by the White House Office of Science and Technology Policy, created a shared open resource of over 200,000 research publications about COVID-19 and subsequently offered cash prizes for the best solutions to 17 key questions involving artificial intelligence. A thread of collaboration weaved throughout the pandemic response, which will shape future efforts. Novel partnerships will cross boundaries to create better processes, products, and solutions to consequential societal challenges.
机译:Covid-19的出现刺激了无数球队的形成,以解决病毒的每一个想到的方面,并阻止其传播。通过全球数字联系,协作已成为整个大流行的恒定主题,导致科学过程(包括疫苗开发)的探险,全球爆发数据和统计数据迅速巩固,以及新的伙伴关系的实验。要记录这些协作努力的演变,作者将说明性举例展示为展开的大流行,补充了JMIR Covid-19特殊问题的出版物。超过60个植根于协作的项目被分为五个主要主题:知识传播,数据传播,众包,人工智能和硬件设计和开发。它们突出了公民,行业专业人士,研究人员和学者在全球范围内聚集在一起的多种方式,以巩固信息并生产用于打击Covid-19大流行的产品。最初,研究人员和公民科学家们在压倒性的信息中争抢获得质量数据。随着全球策划数据集出现,开发了衍生工程,例如可视化或模型,依赖于一致的数据,并且当有意外的变化时会失败。众包用于收集和分析数据,帮助接触跟踪,并通过分享开放式设计进行3D打印来生产个人防护设备。国际集团的企业家和研究人员基于开源设计创造了一个呼吸机。由白宫科技政策办公室领导的非政府组织和政府组织的联盟创造了一个关于Covid-19的共同开放资源,有关Covid-19,随后为17个关键问题提供了最佳解决方案的现金奖励智力。在整个大流行反应中编织了一系列合作,这将塑造未来的努力。新颖的伙伴关系将跨越边界,以创造更好的流程,产品和解决方案的社会挑战。

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