Democratic Republic of the Congo
The challenge
An intelligent monitoring, prediction and decision-support platform for managing urban climate risks.
Rapid urbanisation is increasing pressure on infrastructure, planning and urban services while climate risks intensify. Fragmented data, late warnings and largely reactive systems limit anticipation and coordination. River Flood brings AI, multi-source data and simulation together to strengthen resilience and improve decisions.
Project profile
EPFL · UM6P · NAXA Global · Red Cross DRC
Urban resilience · Digital innovation · Data-driven decisions
Our approach
From idea to lasting capability
Designed to become useful in practice.
Adapt the platform to the local context and integrate multi-source environmental and urban data.
Use AI and machine learning to predict risks and anticipate events up to three days ahead.
Map exposed areas and simulate extreme-event impacts on infrastructure through a developing urban digital twin.
Deploy early warning, interactive 3D visualisation and decision-support tools while strengthening institutional capacity.
What it enables
Knowledge that supports action.
Risk areas identified and mapped
A functional predictive model
An operational early-warning system
A deployed decision-support and visualisation platform
A model designed for national and regional replication
The DGII foundation
01Data02Governance03Implementation04Impact