BIOTRAILS aims to generate knowledge and develop tools that will inspire and accelerate biodiversity-relevant transformative change in our society. BIOTRAILS uses Participatory Systems Dynamics Modelling to take into account the complex interrelations between the indirect drivers of change in four value chains of traded products (cocoa produced in Peru; forest-based cultural products created by indigenous communities in the Brazilian Amazon; fisheries and aquaculture products supplied by the Mediterranean basin and consumed within the Mediterranean countries; and gold mined in Ghana), and in the Biodiversity-Climate-Society Nexus. Based on this knowledge and tools, BIOTRAILS brings together stakeholders across different stages of product/material global value chains to collaboratively design pathways that can lead to a sustainable future, proposing interventions in policy, urban consumption patterns and corporate policies. BIOTRAILS sets up Learning and Action Alliances: groups of organisations and individuals with a common interest to address the multiple challenges of climate change, biodiversity loss and people’s good quality of life, across different spatial and administrative scales and stages of global value chains. Environmentally Extended Multi-Regional Input–Output analysis and Life Cycle Assessment methods is used to trace the environmental pressures arising from extraction / production, trade, and consumption activities, and behaviour patterns along global supply chains in the target sectors. The project assesses, besides the economic values, the biophysical, social and relational values emerging across different steps of the value chains Behavioural studies are conducted based on the Theory of Planned Behaviour, which considers psychological and behavioural patterns. Structural Equation Models are used to identify the most significant factors that drive behavioural change. The integration among the different methods and tools allows for the co-definition of BIOTRAILS’s solution for transformative changes.