快速检测快速创新在COVID-19的压力下
Rapid detection of fast innovation under the pressure of COVID-19
摘要：
新型冠状病毒迅速重新定义了学术界和从业者的技术研发议程。如果说医学科学出版系统对这种新情况做出了迅速的反应，那么其他领域，特别是新技术领域，则很难在其背景下描绘出正在发生的事情。这一流行病产生了迅速发现技术趋同现象的必要性，但同时也表明，根据传统的专利和出版物指标，这一任务是不可能完成的。本文提出了一种新的方法来快速检测在新冠肺炎大流行的压力下发生的快速技术融合现象。由于使用了一个新的来源：在线博客平台Medium，已经进行了快速检测。我们证明，这种社会新闻平台的混合结构允许快速检测的创新现象，不同于其他传统的来源。技术融合现象通过基于网络的方法进行建模，分析了两个时间段（COVID-19之前和之后）计算的网络差异。研究结果使我们讨论了有关“远程控制”、“远程工作”、“健康”和“远程学习”的技术的再利用。
英文摘要：
Covid-19 has rapidly redefined the agenda of technological research and development both for academics and practitioners. If the medical scientific publication system has promptly reacted to this new situation, other domains, particularly in new technologies, struggle to map what is happening in their contexts. The pandemic has created the need for a rapid detection of technological convergence phenomena, but at the same time it has made clear that this task is impossible on the basis of traditional patent and publication indicators. This paper presents a novel methodology to perform a rapid detection of the fast technological convergence phenomenon that is occurring under the pressure of the Covid-19 pandemic. The fast detection has been performed thanks to the use of a novel source: the online blogging platform Medium. We demonstrate that the hybrid structure of this social journalism platform allows a rapid detection of innovation phenomena, unlike other traditional sources. The technological convergence phenomenon has been modelled through a network-based approach, analysing the differences of networks computed during two time periods (pre and post COVID-19). The results led us to discuss the repurposing of technologies regarding "Remote Control", "Remote Working", "Health" and "Remote Learning".
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
