COVID CV: A System for Creating Holistic Academic CVs during a Global Pandemic

Umesh Raja, N. Chowdhury, R. Raje, R. Wheeler, Jane Williams, A. Ganci
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Abstract

The effects of the Covid pandemic have been, similar to the population at-large, unequal on academicians – some groups have been more susceptible than others. Traditional CVs are inadequate to highlight these imbalances. CovidCV is a framework for academicians that allows them to document their life in a holistic way during the pandemic. It creates a color-coded CV from the user’s data entries documenting the work and home life and categorizing corresponding events as good or bad. It, thus, provides a visual representation of an academician’s life during the current pandemic. The user can mark any event as major or minor indicating the impact of the event on their life. The CovidCV prototypical system is developed using a three tier architecture. The first tier, the front-end, is a user interface layer that is a web application. This prototype has a back-end layer consisting of two tiers which are responsible for handling the business logic and the data management respectively. The CovidCV system design is described in this paper. A preliminary experimentation with the prototype highlights the usefulness of CovidCV.
COVID CV:在全球大流行期间创建整体学术简历的系统
与一般人群一样,新冠肺炎大流行对院士的影响是不平等的——一些群体比其他群体更容易受到影响。传统的简历不足以突出这些不平衡。covid - cv是一个院士框架,使他们能够在大流行期间以整体方式记录自己的生活。它根据用户记录工作和家庭生活的数据条目创建了一份颜色编码的简历,并将相应的事件分类为好或坏。因此,它提供了当前大流行期间院士生活的视觉表现。用户可以将任何事件标记为主要或次要,以表明该事件对其生活的影响。新冠病毒原型系统采用三层架构开发。第一层,前端,是一个用户界面层,它是一个web应用程序。该原型有一个由两层组成的后端层,这两层分别负责处理业务逻辑和数据管理。本文介绍了新型冠状病毒检测系统的设计。对原型的初步实验突出了covid - cv的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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