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Joint EUAA, IOM and OECD report provides new insights on displacement from and within Ukraine
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This report assesses the impact of the conflict in Ukraine and its implications for organized crime and security-related issues for neighbouring countries, with a focus on Moldova.
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This guide aims to provide an overview of successful practice from the field for the disaster risk reduction/management practitioner interested in EWS. It presents guiding principles that will build a strong foundation for the design or strengthening of EWS at any level. It is not an operational, bu
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t a strategic, guide that insists on asking the right questions and exploring all perspectives prior even to deciding whether or not early warning is the appropriate tool for a given context.
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The compendium compiles practical case studies on the use of Geospatial Artificial Intelligence (GeoAI) to enhance disaster risk reduction and emergency response across diverse geographic and institutional contexts.
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pport Offices (RSOs) working across Asia, Africa, Latin America, and Europe. These examples highlight how GeoAI, is being used to forecast floods, map wildfire risk, assess landslide susceptibility, monitor droughts, and support emergency response. Each project demonstrates how cloud-based platforms and machine learning tools help governments act faster and more precisely when disaster strike.
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