Ten simple rules for switching from face-to-face to remote conference: An opportunity to estimate the reduction in GHG emissions - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Journal Articles PLoS Computational Biology Year : 2021

Ten simple rules for switching from face-to-face to remote conference: An opportunity to estimate the reduction in GHG emissions

Abstract

In 2020, the world faced the Severe Acute Respiratory Syndrome Coronavirus 2 (SAU : Pleasenotetha ARS-CoV-2) pandemic that drastically altered people's lives. Since then, many countries have been forced to suspend public gatherings, leading to many conference cancellations, postponements, or reorganizations. Switching from a face-to-face to a remote conference became inevitable and the ultimate solution to sustain scientific exchanges at the national and the international levels. The same year, as a committee, we were in charge of organizing the major French annual conference that covers all computational biology areas: The "Journé es Ouvertes en Biologie, Informatique et Mathé matiques" (JOBIM). Despite the health crisis, we succeeded in changing the conference format from face to face to remote in a very short amount of time. Here, we propose 10 simple rules based on this experience to modify a conference format in an optimized and cost-effective way. In addition to the suggested rules, we decided to emphasize an unexpected benefit of this situation: a significant reduction in greenhouse gas (GHG) emissions related to travel for scientific conference attendance. We believe that even once the SARS-CoV-2 crisis is over, we collectively will have an opportunity to think about the way we approach such scientific events over the longer term.
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lirmm-03385026 , version 1 (19-10-2021)

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Valentin Guignon, Catherine Breton, Jérôme J. Mariette, Francois Sabot, Julien Fumey, et al.. Ten simple rules for switching from face-to-face to remote conference: An opportunity to estimate the reduction in GHG emissions. PLoS Computational Biology, 2021, 17 (10), pp.e1009321. ⟨10.1371/journal.pcbi.1009321⟩. ⟨lirmm-03385026⟩
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