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DTSTART;TZID=America/Toronto:20250507T100000
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CREATED:20260522
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SUMMARY:Harnessing AI, GIS, and Earth Observation for Early Warning Systems
DESCRIPTION:As the global community confronts an era of interconnected risks—climate volatility, health crises, ocean degradation, and economic disruptions—Early Warning Systems (EWS) stand out as pivotal, forward-looking solutions for managing uncertainty and safeguarding sustainable development gains. This virtual side event convened by the Global Centre for Risk and Innovation (GCRI) examines how the strategic integration of Artificial Intelligence (AI), Machine Learning (ML), Geographic Information Systems (GIS), and Earth Observation (EO) is transforming EWS from reactive mechanisms to anticipatory, high-impact infrastructures that propel the 2030 Agenda.\nWhy Now?Traditional risk monitoring and response frameworks are straining under the weight of compound shocks. More than ever, development actors require real-time intelligence, cross-domain data analytics, and automated response triggers that translate signals into early interventions. By harnessing rapidly advancing technologies, EWS can be reimagined as data-driven backbones for resilience-building and accelerated SDG progress.\nScope of the Session\n\nAI/ML-Enhanced Risk Intelligence\n\nPredictive modeling for multi-hazard scenarios, from extreme weather events to pandemic outbreaks.\nML algorithms for signal detection in complex, evolving data environments.\n\n\nGIS and Integrated Geospatial Analysis\n\nReal-time mapping for exposure, vulnerability, and resource allocation.\nGeospatial frameworks that inform decision-making at local, national, and transboundary levels.\n\n\nEarth Observation for Planetary Health\n\nMonitoring of environmental parameters—including coastal habitats, forest cover, and atmospheric conditions—to detect anomalies before they escalate.\nHarmonizing EO-derived data with on-ground measurements for holistic ecosystem intelligence.\n\n\nInstitutional Architecture and Policy Coherence\n\nAligning EWS outputs with national and global policy instruments, ensuring that advance warnings prompt real-world, time-sensitive actions.\nBuilding robust multi-stakeholder collaborations spanning governments, IGOs, finance, academia, and communities.\n\n\n\n \n
URL:https://globalriskforum.com/events/harnessing-ai-gis-and-earth-observation-for-early-warning-systems/
ORGANIZER;CN=GCRI:MAILTO:contact@therisk.global
CATEGORIES:GRF,United Nations
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