PEACE

PEACE combines ecological monitoring, social science, and stakeholder engagement in an integrated, adaptive framework. First, the project deploys automatic biodiversity monitoring (e.g., acoustic sensors, camera traps, biologging) complemented by remote-sensing and ranger/field observations, to generate near-real-time information on species movements, and human-wildlife interaction hotspots. These data are translated into accessible indicators that can directly inform local and regional conservation decisions. Second, PEACE establishes Citizens’ Juries as inclusive deliberative forums where community members jointly discuss conservation challenges, trade-offs, and response options. These processes are supported by a Transdisciplinary Panel of scientists, policymakers, and practitioners, ensuring that local perspectives are combined with scientific evidence and institutional feasibility. Third, the project uses experimental learning games and future-oriented workshops to make complex conservation dilemmas tangible, support collective learning, and enable communities to explore long-term consequences of different management and compensation options. Together, these activities allow PEACE to co-develop context-specific strategies for biodiversity protection, conflict mitigation, and compensation schemes that are perceived as fair, evidence-based, and actionable. By embedding monitoring data into participatory governance processes, PEACE creates feedback loops that support adaptive management over time and generates actionable lessons for policy learning across scales. It supports learning at local, national, and transboundary levels and contributes to implementing the Kunming-Montreal Global Biodiversity Framework, particularly regarding inclusive governance, benefit-sharing, and human-wildlife coexistence. By developing scalable participatory tools and governance models, PEACE provides transferable insights for other regions facing similar biodiversity-livelihood trade-offs.