COVID-19 data visualization public welfare activity
作者机构：AlicloudChina State Key Laboratory of CAD&CGZhejiang UniversityChina
出 版 物：《Visual Informatics》 (可视信息学（英文）)
年 卷 期：2020年第4卷第3期
页 面：51-54页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：Zhejiang University Joint Institute of Frontier Technologies
主 题：return Developer prevention
摘 要：The coronavirus disease 2019(COVID-19)pandemic started in early *** the beginning of February,a public welfare activity in epidemic data visualization,jointly launched by China Computer Federation(CCF)(CCF)CAD&CG Technical Committee,Alibaba Cloud Tianchi(Alibaba Cloud Tianch),JiqiZhixin(JiqiZhixin),Alibaba Cloud DataV(Alibaba Cloud DataV),and DataWhale(DataWhale),was launched with the theme‘‘Fighting the Epidemic with One Mind and Talents like Tianchi.’’Developers in general are expected to focus on several demand scenarios,such as epidemic situation display,epidemic popular science,trend prediction,material-supply situation,and rework and return situation of employees from all sectors and areas,to discover the relationship between complex heterogeneous multi-source data,develop various upbeat works and present useful information to the public in a coherent *** entry works take the form of data visualization and are divided into two categories:popular science publicity and application *** popular science publicity category includes works for the public,focused on epidemic situation display,epidemic popular science publicity,epidemic prevention and control,and *** application scenario category consists of the works of frontline officers,which can provide anti-epidemic workers with effective data tools for efficient and intuitive epidemic analysis;offer reliable,understandable,and easily transmitted information for disease prevention;and assist governments,enterprises,and institutions in the fight against COVID-19.
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