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Impacts of Covid-19 on Research Productivity

Disruptions to the Pipeline for Early Career Researchers

Bibliographic Data

ID13026469
AuthorsElizabeth A Moschella (0000-0001-8874-7691, University of New Hampshire, corresponding author), Simon J Potter (0000-0001-8104-5777, University of New Hampshire)
Year2024
Volume13
Issue11
Pages595-595
Publication date2024-11-03
Open AccessYes
TypeARTICLE
VenueSocial Sciences (JOURNAL)
Journal identifiersISSN: 2076-0760 • E-ISSN: 2076-0760
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci13110595
OpenAlexW4404039594
LanguageEN
References cited48

The COVID-19 pandemic resulted in productivity losses, particularly for early career researchers (ECRs) who do not have the same track record as their non-ECR colleagues. Therefore, the purpose of the current study was to examine differences in time allocation and research productivity outcomes between ECRs and non-ECRs at a Carnegie Classification R1 University in the United States. We quantitatively and qualitatively examined differences in time allocation (i.e., research, teaching) and research productivity outcomes (e.g., peer-reviewed publications), as well as pandemic-related challenges, between ECRs and non-ECRs over three time periods: pre-pandemic, year one of the pandemic, and the first eight months of year two of the pandemic. Compared to non-ECRs, ECRs reported significantly more time spent on research, less time on teaching, fewer peer-reviewed publications, and fewer funding proposal submissions during the pandemic. Qualitative data revealed three broad categories of pandemic-related challenges: tangible (e.g., research delays), intangible (e.g., mental health), and long-term impacts on career trajectory (e.g., delayed promotion). The implications for future research and for universities looking to mitigate adverse impacts of the pandemic for ECRs are discussed

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Economic growth · Economics · Infectious disease (medical specialty · Outbreak · Pandemic · Pipeline (software · Productivity · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Applied Psychology · Computer Science · Health and Medical Research Impacts · Medicine · Psychology · Virology

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