# Wildfire

Mapathons, machine-learning, models – oh my! A friendly debate about data sources and how to use them

   Mapathons, machine-learning, models – oh my! A friendly debate about data sources and how to use them> The world of data sources that are useful for the assessment and communication of risk is expanding rapidly. New and emerging data sources, especially for geospatial data, present exciting opportunities to aid disaster prevention, preparation, response, and…

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Fire resilience and the urbanising margins

   Fire resilience and the urbanising margins Organizer: University of Edinburgh UR2020 Home Frequently Asked Questions Agenda Community Sessions UR Collaboration Session tags Identify Communicate Use AI / Machine learning Data Cities Emerging technologies Risk communication Risk assessment Infrastructure Youth and young professionals Fragility, conflict and violence settings Nature-based solutions Earth observations Design, visualization and…

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Catching Fire: New paradigms for wildfire resilience

   Catching Fire: New paradigms for wildfire resilience *note: this is a closed event use · wildfire As the climate changes, the world has marked a significant increase in the number of extreme wildland fire disasters. From the United States and Australia, to Portugal and Greece, to Georgia, Nepal, Brazil and Bolivia, this phenomenon is…

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