Konstantinos Papageorgiadis, Konstantinos Georgiou, Konstantinos Charmanas, N. Mittas, L. Angelis
{"title":"COVID-Vis: Visualizing knowledge exchange on scientific software development in the COVID-19 era","authors":"Konstantinos Papageorgiadis, Konstantinos Georgiou, Konstantinos Charmanas, N. Mittas, L. Angelis","doi":"10.1145/3575879.3576019","DOIUrl":null,"url":null,"abstract":"As the world is still recovering from the detrimental effects of the COVID-19 pandemic, one key aspect of the pandemic era were the global efforts for containment, case tracking and several other factors. While the scientific and governmental initiatives were largely successful and effective, a notable surge was observed in contributions from individuals and programming communities that developed their own software for COVID-19 by using data retrieval and analysis along with visualization methodologies. To achieve their goals, they turned their attention to knowledge exchange portals and asked questions regarding technological queries. In this paper, we present a collective platform that retrieves such questions from a well-known Q&A portal and visualizes the contained information. This platform serves as a useful tool for assessing programming and technological interest in COVID-19 related software development efforts while also promoting the open science principles.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"384 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3575879.3576019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As the world is still recovering from the detrimental effects of the COVID-19 pandemic, one key aspect of the pandemic era were the global efforts for containment, case tracking and several other factors. While the scientific and governmental initiatives were largely successful and effective, a notable surge was observed in contributions from individuals and programming communities that developed their own software for COVID-19 by using data retrieval and analysis along with visualization methodologies. To achieve their goals, they turned their attention to knowledge exchange portals and asked questions regarding technological queries. In this paper, we present a collective platform that retrieves such questions from a well-known Q&A portal and visualizes the contained information. This platform serves as a useful tool for assessing programming and technological interest in COVID-19 related software development efforts while also promoting the open science principles.