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Linking social network dynamics and demographic change in wild populations

Project description

Linking social networks with population dynamics

Social networks and how we connect with each other and form social relationships are linked to population dynamics. Changes in population size can change these networks, impacting ecological or evolutionary processes like cooperation, conflict and infectious disease spread. The EU-funded NETDEM project will explore this interplay. It will develop a modelling framework that allows the integration of demography and social network structure and apply it to gain insights into social dynamics and disease in European badgers. The project will undertake a cross-disciplinary approach to integrate cutting-edge statistical approaches in the modelling of social networks and population dynamics and produce software to make these new tools widely available.

Objective

Quantifying the interplay of demography and social structure is a key challenge in diverse research fields from ecology to sociology. Social relationships, and the way they are interconnected to form the social network of a population, are closely linked to population dynamics. Changes in population size can change these networks, with implications for important ecological or evolutionary processes, such as cooperation, conflict and infectious disease spread. For example, links between social structure and demography can influence whether a population acts as a reservoir host of diseases with societal impacts, or shape how social animals respond to sudden human-induced environmental change. However, due to the complexity of quantifying the demography and social network structure of wild populations, we still understand little about how interplay between the two arises or when it is important. The objectives of the proposal are to develop a modelling framework that allows the integration of demography and social network structure, and apply it to gain insights into social and disease dynamics in European badgers. Through cross-disciplinary collaboration, I will integrate cutting-edge statistical approaches in the modelling of social networks and population dynamics, and produce software to make these new tools widely available to other researchers. The host lab, led by Dr Gimenez has world-leading expertise in mathematical ecology, animal demography and conservation. The candidate, Dr Silk, is an expert in applying social network analysis to study behavioural dynamics and infectious disease transmission. This combined skillset will enable the development of innovative statistical tools that can be applied across research disciplines (e.g. ecology, sociology, public health), as well as address timely questions at the interface of population biology and behavioural ecology that have wide-reaching implications for wildlife conservation and management.

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2020

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

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.

€ 184 707,84
Address
RUE MICHEL ANGE 3
75794 PARIS
France

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Region
Ile-de-France Ile-de-France Hauts-de-Seine
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Research Organisations
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Total cost

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.

€ 184 707,84
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