Objective
Halting biodiversity decline and ensuring food security are urgent and interconnected challenges. I will study how social and ecological structures in interaction generate tradeoffs and synergies between food security and biodiversity conservation. SENet has two aims: A) to identify ecological and socioeconomic structures that benefit or harm food security and biodiversity conservation in a rural, poor study landscape, and B) to develop an integrated network model capable of predicting such effects in similar settings worldwide. Globally, SENet will be the first research to apply (graph-theoretic) network analysis to understand synergies and tradeoffs in the food security–biodiversity nexus. I will develop the integrated model using data from a landscape in Ethiopia, where agricultural expansion and human-wildlife conflicts are driving deforestation. SENet differs from existing approaches that concentrate on increasing agricultural output and overlook that social and ecological outcomes are interdependent and cannot be understood separately. In contrast, my method focuses on the food security of rural villages and on the factors that prompt farmers to clear or to plant forest, to change crops, to migrate elsewhere, etc., i.e. on farmers' decisions that affect both food security and biodiversity. In this context, I will use systematic network analysis to show how farmers are connected through food trade, knowledge exchange and other socioeconomic processes, but also how their crop fields are linked to forests and human–wildlife conflicts. The implementation of SENet will draw on my skills in network analysis and the host’s research excellence on the biodiversity of agricultural landscapes, including their ongoing fieldwork in my study area. This setup ensures a theoretical and empirical foundation for my network models, and a forum for communicating my results to non-academic actors in Ethiopia and Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology governance
- natural sciences biological sciences biodiversity conservation
- medical and health sciences health sciences nutrition
- natural sciences biological sciences ecology ecosystems
- agricultural sciences agriculture, forestry, and fisheries agriculture
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2014
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
21335 LUNEBURG
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.