Description du projet
Examen de la gouvernance des terres en Afrique australe
Le projet InSiTe-LandGov, financé par l’UE, combinera les mégadonnées avec des approches qualitatives pour générer de nouveaux ensembles de données et méthodes en libre accès sur la gouvernance des ressources naturelles. Ceux‑ci seront testés à l’aide de données existantes issues de plus de 5 000 parcelles de recherche réparties dans la plus grande savane boisée du monde, couvrant 12 pays d’Afrique australe. Ce biome clé joue un rôle majeur dans l’atténuation des effets du changement climatique, le maintien de la biodiversité et la réduction de la pauvreté. InSiTe-LandGov classera les méthodes actuelles d’observation de la gouvernance des ressources et générera un nouvel ensemble de données en libre accès pour l’ensemble du biome forestier de l’Afrique australe, en utilisant l’apprentissage automatique, des données satellitaires et des parcelles de recherche. Enfin, InSiTe-LandGov examinera comment les aspects de la gouvernance des ressources affectent la dégradation de l’environnement et la pauvreté dans cette région.
Objectif
InSiTe-LandGov combines big data with qualitative approaches to generate new open access datasets and methods on natural resource governance—a critical data gap in sustainability science. It will test these using existing data from a unique network of >5000 research plots across the world’s biggest savannah woodland, spanning 12 countries in southern Africa. This biome is key to European and global climate change, biodiversity and poverty alleviation goals: it supports the livelihoods of 150 million people, stores as much carbon as the Congo Basin, and is home to iconic megafauna, yet it suffers some of the highest rates of deforestation and poverty on Earth. Improved understandings of resource governance will be crucial to meeting these challenges, but empirical methods for assessing governance remain opaque, costly and spread across several disciplines. First, I will produce a typology of current methods for observing resource governance that bridges the divide between positivist and constructivist approaches. I will do this through a systematic review and workshops with experts from Europe, North America and southern Africa. Second, I will generate a new open access dataset on governance for the entire southern African woodland biome. I will use machine learning, open access ‘big’ satellite and census data, the >5000 research plots, and a field visit to Mozambique and Zimbabwe. Finally, I will produce a world-first analysis on how aspects of resource governance affect environmental degradation and poverty across the region. I will use a novel approach combining qualitative and big data methods. In this fellowship I aim to build on my existing skills to define myself as a global expert in interdisciplinary governance research, and to secure a long term job at a European university. I will draw on the expertise of supervisors at three world-class hubs of sustainability research: McGill University, University of Edinburgh and the Stockholm Resilience Centre.
Champ scientifique
- social sciencessociologygovernance
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesearth and related environmental sciencesenvironmental sciencessustainability sciences
- social sciencessociologydemographycensus
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Mots‑clés
Programme(s)
Régime de financement
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
10691 Stockholm
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