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Vis Inf
Vis Inf  2020, Vol. 4 Issue (3): 51-54    DOI: 10.1016/j.visinf.2020.09.003
论文     
2020年新冠肺炎疫情数据可视化公益行动
Ting Wanga,Ying Cuia, Honghui Meia, Xiao Wena, Jinzhi Lub, Wei Chenb#br#
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aAlicloud, China bState Key Laboratory of CAD & CG, Zhejiang University, China
COVID-19 data visualization public welfare activity
Ting Wanga,Ying Cuia, Honghui Meia, Xiao Wena, Jinzhi Lub, Wei Chenb
aAlicloud, China bState Key Laboratory of CAD & CG, Zhejiang University, China
 全文: PDF 
摘要： 2020年年初，新型冠状病毒肺炎疫情爆发。2月初，中国计算机学会CAD&CG专委会、阿里云天池、机器之心、阿里云DataV、Datawhale联合发起的以“万众‘疫’心 天池众智”为主题的疫情数据可视化公益行动，面向全社会开放，希望广大开发者围绕疫情态势展示、疫情大众科普、疫情走势预测、疫情物资情况、各地各业人员返工返程情况等需求场景，挖掘复杂异构多源数据之间的关联关系，开发并创作的各种正能量的作品，以形象生动的方式呈现给公众。 参与作品采用数据可视化的形式，分为科普宣传类和应用场景类。科普宣传类是面向公众的疫情态势展示、疫情大众科普、疫情防控宣传等方向作品；应用场景类是面向一线指战员，为抗疫人员提供有效的数据工具，支持快速直观的疫情分析，为疫情的防治提供可靠、可理解、易沟通的信息，助力政府、企业、机构的抗疫、防控和宣传。
关键词： 疫情;  数据可视化;  公益活动    
Abstract: The coronavirus disease 2019 (COVID-19) pandemic started in early 2020. At the beginning of February, a public welfare activity in epidemic data visualization, jointly launched by China Computer Federation (CCF) CAD & CG Technical Committee, Alibaba Cloud Tianchi, JiqiZhixin, Alibaba Cloud DataV (Alibaba Cloud DataV), and 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 manner. The entry works take the form of data visualization and are divided into two categories: popular science publicity and application scenarios. The popular science publicity category includes works for the public, focused on epidemic situation display, epidemic popular science publicity, epidemic prevention and control, and others. The 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.
Key words: COVID-19    data visualization    public welfare activity
出版日期: 2020-10-09
通讯作者: Wei Chen     E-mail: chenvis@zju.edu.cn
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Ting Wang, Ying Cui, Honghui Mei, Xiao Wen, Jinzhi Lu, Wei Chen. COVID-19 data visualization public welfare activity. Vis Inf, 2020, 4(3): 51-54.

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http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2020.09.003    或    http://www.zjujournals.com/vi/CN/Y2020/V4/I3/51

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