How can we reduce the climate costs of OHBM? A vision for a more sustainable meeting
Notice bibliographique
Résumé
Climate change threatens the future of humanity. It will also significantly impede our ability toconduct science, by destabilising societies globally. Aviation, including travel to scientificconferences, generates a huge carbon footprint. This must be addressed if we are to limit globalwarming to the 1.5C mandated by the UN Intergovernmental Panel on Climate Change (IPCC),and time is running very short: we are already at 1.2C of warming. This means we must urgentlytransform the way we attend conferences.In this report, authored by the Sustainability and Environment Action Special Interest Group (SEASIG),we analysed the carbon footprint of previous Organization for Human Brain Mapping(OHBM) meetings, and found that on average, attendees travelling to an in-person meetinggenerates over 10,000 tonnes of carbon. Virtually all these emissions are eliminated when wemeet online instead. The location of in-person meetings also matters: setting the meeting in aplace that requires more colleagues to take long-distance flights very significantly increases itsclimate costs, sometimes by up to three times as much as the lowest-carbon locations.We can do things differently, however. Hybrid meetings - accessible both in-person and online -are set to become the norm for academic societies around the world. Although driven by Covid,hybrid is here to stay, because of the many other benefits it brings to both accessibility andsustainability. There are also several other alternative meeting formats being explored byacademic societies, such as a biennial meeting (every other year), and multiple regional hubs, inwhich attendees travel to their nearest geographical meeting location.Using aviation carbon footprint modelling, we calculated the carbon savings that OHBM wouldmake under these future meeting formats. We also determined the most climate-friendly locationsfor in-person aspects of future meetings, and the least climate-friendly places to avoid. As a result,we recommend that all future OHBM meetings are fully hybrid. We furthermore recommend thatOHBM transitions to a multiple regional hub model (with hybrid attendance also supported), inlocations specifically chosen to minimise long-distance aviation. We do not advocate carbonoffsetting as a suitable alternative to tackling real-time reductions in aviation emissions.We conclude that updating the way OHBM meetings are run for a post-Covid, climate-crisis-erawill save thousands of tonnes of carbon at a time of climate emergency. Furthermore, setting themeeting in locations that minimise the need for long-distance flying is critical. Finally, supportingcolleagues to attend online and more locally will enhance accessibility, furthering the society’smission to provide educational forums for the exchange of ground-breaking neuroimagingresearch.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».