General objective
Contribute to climate resilience in Amazonian communities across Colombia, Peru, Brazil and Ecuador through innovative and sustainable digital solutions.
AI-driven early warning and anticipatory action for climate-resilient communities across Colombia, Peru, Brazil and Ecuador — built with local and ancestral knowledge at its centre.
A people-centered approach to risk management that pairs innovative digital tools with the knowledge communities already hold.
Contribute to climate resilience in Amazonian communities across Colombia, Peru, Brazil and Ecuador through innovative and sustainable digital solutions.
AI-driven early warning and anticipatory action, integrated with local and ancestral knowledge for people-centered risk management.
Funded by the European Commission (DG ECHO) and implemented by World Vision together with 3iS — Information, Innovation, Impact.
Strengthening 37 community committees with in-depth risk assessments and digital capacity building.
AI-powered guidance and alerts delivered in real time to 25,243 beneficiaries living in low-connectivity contexts.
A goal of 30% reduction in affected populations and 95% system availability, enabling rapid transborder action.
Coverage
Intervention areas and beneficiary figures for the L’Oréal-funded component in Peru and Ecuador.
Loreto Department (ADM 1) → Maynas Province (ADM 2) → Punchana District (ADM 3)
Communities
Napo Province (ADM 1) → Archidona Canton (ADM 2)
Communities
Places of intervention and beneficiary figures correspond to the L’Oréal-funded intervention in Peru and Ecuador.
The system has been optimized with specific modules designed to meet these training indicators.
Training completed for 30 leaders through a combination of virtual and in-person sessions.
Over 3,200 community members trained through interactive digital modules.
Initial training of government officials and teachers is underway in both countries.
We are successfully merging scientific and official information with traditional knowledge, which is already integrated into the system.
Official meetings are ongoing to ensure transparency in how technical data is gathered and translated for communities.
The system works best when the workflow respects community and institutional roles at every step.
A user, leader or committee sends information: hazard, location, evidence and urgency.
The report is checked against official sources, satellite data, maps and available information.
Authorized authorities review the evidence, approve, request more information or escalate.
A preventive or validated message is sent according to profile, community, territory and risk level.
Full traceability: source, decision, target users, delivery, feedback and follow-up.
The system should not issue mass official alerts without institutional validation. When validation is not available, the language must remain preventive or surveillance-oriented.
ECHO ERC aims to build a stronger version of the system — one genuinely connected to both communities and authorities.
Risks, capacities, routes, critical points, polygons and areas of influence.
Review of reports, evidence, maps, decision status and full traceability.
Preventive or validated messages sent by user profile and territory.
Short courses, country-specific modules, Portuguese-language and contextualized content.
Photos, audio, location and needs — the inputs that guide response or escalation.
Capacity transfer, local support structures and clear, transparent operating costs.
The goal is not only to digitize alerts. It is to strengthen preparedness, communication and trust between communities and the authorities that serve them.
The conversation can focus on how the approach adapts to Amazonian peoples, organizations and territories.
Define how reports are validated, who can serve as authorized spokespersons, and how community information is protected.
Adapt messages, courses and communication pathways to Indigenous, rural and riverine realities.
Incorporate local signals and territorial memory as a complement to official and satellite data.
Identify pilot territories, minimum conditions, risks of use, and capacity transfer processes.
A practical partnership should begin with lessons learned, methodological validation and small pilots — before scaling.
A potential collaboration can move forward incrementally, with validation built into each stage.
Share the methodology, the lessons learned from the L’Oréal-funded intervention, and the needs identified under ECHO ERC.
Gather Amazonía Viva’s feedback on approach, language and governance.
Map organizations, community networks, Indigenous platforms and local institutions interested in strengthening risk management, community preparedness and responsible use of the system in the Amazon.
This can support coordination within the Amazonian network and help define where maps, courses, community reports or preventive messages add value — without duplicating existing efforts.
Adjust protocols, roles, data criteria, information protection measures and content from a territorial perspective.
Timely, reliable information is what turns a forecast into protection. We are looking for partners who know these territories to help shape what comes next.