SOURCE-LINKED INTELLIGENCE

Operationalizing relational values for a more equitable marine conservation

CORDIS · observation · Publication date unknown

otential to generate social-ecological changes (youth). Second, it requires the use of innovative interdisciplinary social-ecological research that integrates multidimensional datasets and uses novel machine learning technology to maximise data efficiency while minimising economic costs of data collection and analysis. Finally, it needs transdisciplinary cooperation with stakeholders and decision makers to co-generate specific recommendations for integrating RVs in conservation policies. REVALSEA will focus on the small-scale fisher’s community in Spain as a case study to address all these challenges and develop a cutting-edge and globally scalable approach in other socio-cultural contexts. human-nature relationships; machine learning; marine conservation; nature's contributions to people; social-ecological systems; youth

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recordType

award

status

SIGNED

region

EU

value

328722

unit

EUR