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Ten simple rules for running and managing virtual internships
Author(s) -
Johannes Werner,
Debora Jeske
Publication year - 2021
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1008599
Subject(s) - simple (philosophy) , internship , computer science , data science , medicine , medical education , philosophy , epistemology
The importance of managing projects virtually and effectively has increased over time. Today, many research groups in the computational and natural sciences have become more international. In addition, many students are participating in virtual internships and research projects. This trend also extends to how students are supervised on various projects—often remotely and by faculty members or organizational supervisors outside their own institutions. In the following paper, the authors outline ten rules for any faculty interested in successfully running virtual projects with students from other institutions than their own. These recommendations build on existing guidance related to preparing for and hosting traditional on-site internships [1–3]. Virtual internships are computer-mediated internships where the intern works for an organization, usually employers, remotely. This means that these virtual interns and the organization are often located in different cities, countries, and even time zones. Many interns complete such internships to gain work experience or complete projects for academic credit [4]. Due to the ease of locating suitable talent for research projects, such internships are also of interest to many academics who seek suitable and motivated talent for research projects. Faculty members can play a similar supervisory role as the managers in organizations. In the following section, we outline ten rules that can guide research supervisors in higher education and research institutions who are interested in running such virtual internships. These rules are relevant to both virtual and traditional internships that involve a dispersed team collaborating on a shared project. Nonetheless, the nature of virtual internships implies that project success is contingent on some aspects that are usually easier to track in traditional internships. Open communication, progress monitoring, proactive tool adoption, learning, and documentation are particularly critical in virtual settings to create transparency and facilitate project success. While some of these rules were created based on previous work we reference, none of the previous virtual internships focused on internships in research facilities. We believe that these rules can be readily applied to research projects focusing on computational biological analysis in multiple research disciplines as today’s technical infrastructure now allows labs and researchers to collaborate virtually on joint projects, using shared online resources and analytical tools. In order to highlight the relevance of our rules, we included feedback and observations from three female and two male students who completed virtual projects in bioinformatics. Virtual internships are known in various fields; however, to our knowledge, this is the first time that virtual internships have been applied to the field of bioinformatics. In contrast to PLOS COMPUTATIONAL BIOLOGY

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