Does a citizen science approach enhance the effectiveness of flood early warning systems? Evidence from the Akaki catchment, Ethiopia

This study integrates a citizen science approach into existing flood Early warning systems (EWSs) to enhance inclusivity, incorporate local perspectives, and ensure equitable expertise distribution in flood early warning. Drawing on primary data collected through diverse methods, alongside an extensive review of documents from 2021 to 2022, the analysis of qualitative data indicates that integrating citizen science into flood EWSs provides dependable early warning information and fosters network development. This approach reduces reliance on external entities, strengthens local decision-making capabilities, and promotes a sense of ownership, empowerment, and trust.

The findings highlight the importance of understanding power dynamics and institutional capacities when integrating citizen science into flood EWSs. This research offers valuable insights for policymakers, practitioners, and communities regarding participatory governance, social equity, and community resilience in the face of environmental challenges.