Monitoring the Pulse of the Planet: Assessing the Transformative Potential of Applying the UN Biodiversity Lab as a Governance Instrument
Notice bibliographique
Résumé
The current degraded state of nature proves that global efforts to reverse the loss of biodiversity has not yet been sufficient. However, in December 2022, a significant milestone was achieved as the international community reached a consensus on the Kunming-Montreal Post-2020 Global Biodiversity Framework. The vision of this framework is for humanity to live in harmony in nature by 2050, and reaching this vision will require profound societal changes. This thesis aims at examining how the implementation of a Big Earth Data platform in the decision- and policy-making process can facilitate such transformative changes. This is explored through a case study of the UN Biodiversity Lab, a platform that explicitly aims at supporting national stakeholders deliver on the Global Biodiversity Framework. \n\nTo examine the platform, a walkthrough- and content analysis method has been applied. The results from these methods are presented and analysed through a Big Earth Data Platform framework, which aims at providing frames for how a Big Earth Data platform should optimally be designed to support sustainability. The analysis shows that the UN Biodiversity Lab to a large extent is designed in accordance with this framework, as it is embedded in society, promotes actionable intelligence, and is listed as a digital public good. Thus, the platform seems to have a large potential to provide decision-makers, practitioners, and the public access to the best available data, information, and knowledge on biodiversity matters. \n\nThe thesis contributes to theory on transformative biodiversity governance by examining the transformative potential of one specific governance instrument. Findings show that the UN Biodiversity Lab can support integrative, inclusive, adaptive, transdisciplinary, and anticipatory governance in conjunction. The platform can potentially also influence the indirect drivers of biodiversity loss through strengthening monitoring mechanisms, increasing awareness, and supporting polycentric governance. This implies that despite the indirect drivers not easily being quantified as spatial data, the platform can still target the indirect drivers of biodiversity loss by influencing key leverage points in society. The study therefore concludes that applying a Big Earth Data platform in the decision-making process can be an important tool for reaching the vision of the Global Biodiversity Framework. There are however some key challenges that must be tackled to unlock the potential of the technology. This includes solving technical issues, securing adequate funding, enabling co-production of knowledge, and establishing consistent reporting practices.
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 | 0,005 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».