Synchronizing ecological and socioeconomic networks to achieve sustainability
Science / Life Sciences
The transdisciplinary science of sustainability has promoted theoretical syntheses between ecology, economics and human sciences. In association with the unprecedented availability of large volumes of information (big data), data science tools and complex systems modelling, these syntheses generate opportunities for innovations in natural resource management. This project combines big data analysis and adaptive network models to investigate the relationship between adaptability and resilience in socio-ecological networks. The objective is to understand how simple changes in socio-productive arrangements can propagate and act as catalysts for sustainability. We thus seek to understand principles of integrated management of ecosystem diversity and connectivity that support structuring sustainable, inclusive and competitive bioeconomies.
