The new norm: Computer Science conferences respond to COVID-19

The disruption from COVID-19 has been felt deeply across all walks of life. Similarly, academic conferences as one key pillar of dissemination and interaction around research and development have taken a hit. We analyse an interesting focal point as to how conferences in the area of Computer Science...

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Bibliographic Details
Published in:Scientometrics 2021, Vol.126 (2), p.1813-1827
Main Authors: Mubin, Omar, Alnajjar, Fady, Shamail, Abdullah, Shahid, Suleman, Simoff, Simeon
Format: Article
Language:English
Subjects:
Computer Science
Conferences
Coronaviruses
COVID-19
Disruption
Information Storage and Retrieval
Library Science
Logistics
Psychology
R&D
Ranking
Research & development
Schedules
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Summary:The disruption from COVID-19 has been felt deeply across all walks of life. Similarly, academic conferences as one key pillar of dissemination and interaction around research and development have taken a hit. We analyse an interesting focal point as to how conferences in the area of Computer Science have reacted to this disruption with respect to their mode of offering and registration prices, and whether their response is contingent upon specific factors such as where the conference was to be hosted, its ranking, its publisher or its original scheduled date. To achieve this, we collected metadata associated with 170 conferences in the area of Computer Science and as a means of comparison; 25 Psychology conferences. We show that conferences in the area of Computer Science have demonstrated agility and resilience by progressing to an online mode due to COVID-19 (approximately 76% of Computer Science conferences moved to an online mode), many with no changes in their schedule, particularly those in North America and those with a higher ranking. Whilst registration fees have lowered by an average of 42% due to the onset of COVID-19, conferences still have to facilitate attendance on a large scale due to the logistics and costs involved. In conclusion, we discuss the implications of our findings and speculate what they mean for conferences, including those in Computer Science, in the post-COVID-19 world.
ISSN:0138-9130
1588-2861
DOI:10.1007/s11192-020-03788-9