论文标题
一种协作方法，用于分析非洲的Covid-19反应
A Collaborative Approach to the Analysis of the COVID-19 Response in Africa
论文作者
论文摘要
COVID-19危机强调了需要进行科学方法的必要性，例如机器学习以加快发现大流行的解决方案。利用机器学习技术需要高质量的数据，熟练的人员和高级计算基础设施。但是，在非洲，机器学习能力和计算基础设施是有限的。本文展示了一种跨境协作能力构建方法，用于在发现COVID-19问题的答案中应用机器学习技术。
The COVID-19 crisis has emphasized the need for scientific methods such as machine learning to speed up the discovery of solutions to the pandemic. Harnessing machine learning techniques requires quality data, skilled personnel and advanced compute infrastructure. In Africa, however, machine learning competencies and compute infrastructures are limited. This paper demonstrates a cross-border collaborative capacity building approach to the application of machine learning techniques in discovering answers to COVID-19 questions.
