Addressing the Multidimensional Impacts of Climate Change through Effective Capacity Development, Research Leadership, Strategic Networking, and Partnerships – The case of the One Planet Fellowship
Notice bibliographique
Résumé
In September 2019, a partnership consortium[1] joined efforts to launch the One Planet Fellowship. This initiative, announced at the inaugural One Planet Summit in Paris, December 2017, was the coalition on the mobilization of researchers and young people to work for the climate. The One Planet Fellowship, a career development program, aims to build a robust pipeline of scientists equipped to lead climate change research in Africa, establishing an intergenerational network of scientists across Africa and Europe to foster research collaborations and bringing gender equality at the centre of the climate change and agrifood systems research.Building on the summary points on adaptation from the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report chapter on Africa, it was evident that applied research is essential to solve the challenges of adaptation of agriculture and food systems in Africa. Many of the basic underpinning aspects of the required research are available – what is now needed is the in-depth analysis, and deployment of resulting strategies and practice across the African continent. This requires a strong commitment of African scientists at different levels of career development and collaboration with non-African researchers, particularly from Europe as its nearest continental neighbour through its high level educational and research institutions.It is thus important to invest in building the capacity of the next generation of African scientists so that they can be well-connected to the world as they find science-based solutions that are anchored in their local realities. To achieve this, the One Planet Fellowship targeted emerging, mid-career and seasoned scientists working in Africa and Europe to accelerate the career development process by:Strengthening the leadership, scientific and mentoring skills of emerging agriculture-climate scientists from both continents and providing an opportunity to African scientists to share their context-specific knowledge and mentor emerging scientists from Europe and for European scientists to gain valuable exposure to the context within which scientific research is conducted on the African continent. Incentivizing intra-continental research collaborations through the establishment of diverse research groups where Laureates identify, initiate, and implement joint projects of various forms including joint publishing, resource mobilization, and media engagement among others. Enhancing the visibility of the One Planet Laureates through diverse opportunities to amplify African voices, access and contribute to national, regional and global conversations, storytelling, and media engagement. Following the five-year of activity implementation in Africa and Europe, the One Planet Fellowship has mobilized over 400 scientists across Africa and Europe and facilitated their involvement in a range of interventions, including three-tiered mentoring programs, leadership, science and negotiation training series, Advanced Science Training (AST), science-policy linkages via learning visits, facilitating scientific networking and exchange between African and European scientists. [1] The Bill and Melinda Gates Foundation, the BNP Paribas Foundation, the Canada’s International Development Research Centre (IDRC) and the European Union provided financial support for the One Planet Fellowship implementation jointly coordinated by African Women in Agricultural Research and Development (AWARD) based in Nairobi, Kenya and Agropolis Fondation based in Montpellier, France.
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 | 0,009 | 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 | 0,002 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».