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Record W4408483188 · doi:10.5194/egusphere-egu25-21793

Addressing the Multidimensional Impacts of Climate Change through Effective Capacity Development, Research Leadership, Strategic Networking, and Partnerships – The case of the One Planet Fellowship

2025· preprint· en· W4408483188 on OpenAlexaboutno aff
Michèle Mbo’o-Tchouawou, Dorine Odongo, Sheila Okoth

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsPlanetClimate changeBusinessStrategic leadershipLeadership developmentEnvironmental resource managementPublic relationsStrategic planningPolitical scienceMarketingEconomicsPhysicsOceanography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.944
GPT teacher head0.554
Teacher spread0.391 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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