At LCOY Egypt 2025, the EMAM Organization (Cairo Branch) hosted a dynamic on-site side event titled “Deep Delta: Using Deep Learning to Monitor Climate Risks in Northern Egypt.” The session explored the intersection of Artificial Intelligence (AI) and climate adaptation, focusing on how advanced technologies like Machine Learning (ML) and Deep Learning (DL) can transform Egypt’s climate resilience efforts in the Nile Delta — one of the most climate-vulnerable regions in the world at Nile University
A Region on the Climate Frontline
The Nile Delta faces accelerating environmental challenges: rising sea levels, salinization of agricultural lands, and increasingly frequent floods. These risks threaten not only Egypt’s agricultural productivity but also the livelihoods of millions who depend on the Delta’s fertile ecosystem. Against this backdrop, the session shed light on how AI-driven technologies can help monitor, predict, and mitigate these threats through data-driven innovation.
Exploring AI Solutions for the Delta
The session opened with remarks by Mr. Mohamed Elsamahy, Executive Director of EMAM Organization’s Cairo Branch, who emphasized the urgency of building technological resilience in Egypt’s most vulnerable areas.
Following the introduction, three expert talks offered participants a comprehensive overview of the tools shaping climate monitoring in Egypt:
- Deep Learning for Climate Risk Forecasting in the Delta demonstrated how neural networks can analyze satellite imagery and historical data to predict sea-level rise, soil salinization, and flood patterns with greater precision.
- Geospatial AI and Remote Sensing Applications showcased how ML algorithms and satellite data are used to track shoreline changes and environmental degradation in real time.
- AI for Disaster Preparedness and Early Warning Systems highlighted the potential of deep neural networks to power alert systems that protect coastal and agricultural communities.
These insights bridged the gap between scientific innovation and practical adaptation measures.
Youth and Policy at the Center of the Dialogue
The interactive panel discussion, titled “AI for Climate Adaptation: Building the Future of the Delta,” brought together researchers, policy experts, and youth innovators — including members of the COP30 Preparation Team — to discuss the policy relevance of AI-driven climate data.
Panelists Including Mr. Ezzeldin Ahmed (VSL Scholarship Coordinator) and
Mr. Eslam Ahmed (COP30 Preparation team manager) examined how Egypt’s AI-based Delta monitoring can inform national adaptation plans and enhance the country’s contributions to COP30. The dialogue also emphasized inclusivity, calling for AI solutions that are socially equitable and responsive to the needs of vulnerable communities in the Delta.
This side event forms part of EMAM’s broader commitment to advancing youth-driven climate diplomacy, innovation, and sustainable development. Through initiatives such as Climate Rangers and strategic partnerships with national and international entities, EMAM continues to bridge the gap between data science, environmental policy, and social transformation.
