Back to Search Start Over

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

Authors :
Anna-Sophie Fiston-Lavier
François Sabot
Julien Fumey
Vincent Lefort
Jérôme Mariette
Valentin Guignon
Catherine Breton
Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) [Rome] (Alliance)
Consultative Group on International Agricultural Research [CGIAR] (CGIAR)
Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE)
Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Diversité, adaptation, développement des plantes (UMR DIADE)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])
Société Française de BioInformatique (SFBI)
Méthodes et Algorithmes pour la Bioinformatique (MAB)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Institut des Sciences de l'Evolution de Montpellier (UMR ISEM)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)
Institut Universitaire de France (IUF)
Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)
Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226
Source :
PLoS Computational Biology, PLoS Computational Biology, 2021, 17 (10), pp.e1009321. ⟨10.1371/journal.pcbi.1009321⟩, PLoS Computational Biology, Public Library of Science, 2021, 17 (10), pp.#e1009321. ⟨10.1371/journal.pcbi.1009321⟩, PLoS Computational Biology, Vol 17, Iss 10, p e1009321 (2021), PLoS Computational Biology, Vol 17, Iss 10 (2021)
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; 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.

Subjects

Subjects :
RNA viruses
Viral Diseases
Atmospheric Science
Science and Technology Workforce
Epidemiology
Coronaviruses
Careers in Research
01 natural sciences
UNEXPECTED BENEFIT
Database and Informatics Methods
Face-to-face
Medical Conditions
Medicine and Health Sciences
Biology (General)
010303 astronomy & astrophysics
Pathology and laboratory medicine
Simple (philosophy)
Travel
0303 health sciences
Ecology
Attendance
Software Engineering
Medical microbiology
GHG emissions
Chemistry
Professions
Editorial
Infectious Diseases
Computational Theory and Mathematics
Modeling and Simulation
Physical Sciences
Viruses
[SDE]Environmental Sciences
Engineering and Technology
France
SARS CoV 2
Pathogens
Computer and Information Sciences
SARS coronavirus
Coronavirus disease 2019 (COVID-19)
QH301-705.5
Bioinformatics
Science Policy
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Research and Analysis Methods
Microbiology
Computer Software
Greenhouse Gases
03 medical and health sciences
Cellular and Molecular Neuroscience
Gaz à effet de serre (GES)
0103 physical sciences
Genetics
Environmental Chemistry
Humans
Interpersonal Relations
Pandemics
Molecular Biology
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
Finance
SARS-CoV-2
business.industry
Ecology and Environmental Sciences
Teleworking
Organisms
Viral pathogens
Biology and Life Sciences
Computational Biology
COVID-19
Covid 19
Congresses as Topic
Microbial pathogens
Term (time)
13. Climate action
Atmospheric Chemistry
Greenhouse gas
People and Places
Earth Sciences
Videoconferencing
Scientists
Feasibility Studies
Population Groupings
business

Details

Language :
English
ISSN :
1553734X and 15537358
Database :
OpenAIRE
Journal :
PLoS Computational Biology, PLoS Computational Biology, 2021, 17 (10), pp.e1009321. ⟨10.1371/journal.pcbi.1009321⟩, PLoS Computational Biology, Public Library of Science, 2021, 17 (10), pp.#e1009321. ⟨10.1371/journal.pcbi.1009321⟩, PLoS Computational Biology, Vol 17, Iss 10, p e1009321 (2021), PLoS Computational Biology, Vol 17, Iss 10 (2021)
Accession number :
edsair.doi.dedup.....65ca0af4a3f8cb4b6918d75f65813acd