Co-Creation of a Flood Risk Management Dashboard for Addis Ababa, Ethiopia

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International Water Management Institute

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This report assesses how the Addis Ababa Flood Risk Management Dashboard for the Akaki catchment—in which the city of Addis Ababa is situated—was collaboratively developed and utilized, emphasizing the contributions of multiple stakeholders throughout the co-creation process. Recognizing the complexity and data-intensive nature of flood risk management, the dashboard was developed through a participatory approach involving the Addis Ababa Fire and Disaster Risk Management Commission (AAFDRMC), Addis Ababa Water Governance Network and IWMI. The co-creation process involved four stages: co-identification, co-design, co-development, and co-delivery, ensuring that the dashboard aligns with institutional workflows, operational needs, and user priorities while addressing data gaps and coordination challenges. The dashboard is structured across seven thematic sections: Home, Catchment Overview, Hydrometeorology, Flood Risk, Stakeholder Institutions, Flood Risk Responses, and Risk Reduction Measures, consolidating heterogeneous flood-related data into interactive maps, charts, and analytical tools. It provides spatially comprehensive insights into hydrometeorological patterns, flood frequencies, hotspot distributions, exposure, and institutional roles, serving as a stakeholder convening tool supporting evidence-based planning and multi-agency coordination. The dashboard functionality can be enhanced through regular data updates, expanded technical capacity in GIS, remote sensing and programming, integration with flood forecasting and early warning systems, and broader institutional adoption. By progressively incorporating improved data collection–including citizen science contributions–and fostering city-wide digital engagement, the dashboard has the potential to evolve into a core tool for evidence-based flood risk management in Addis Ababa and its hinterland.

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flooding, risk management, flood forecasting, disaster risk reduction, vulnerability, indicators

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