Disaster Situation Reports
Operationalizing Data for High-Consequence Decisions
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During major natural disasters, emergency responders are often faced with severe information overload and conflicting data. Serving as a key partner during these events, NSF AI-SDM creates outputs that incorporate Meta’s restricted-access datasets alongside open-source AI models to deliver clear, standardized data products that prioritize actionable insights.
Explore our searchable reports repository below
Operational Data Products & Situation Reports
Spokane Area Fires: Facebook Data Situation Report
Analyzes anomalous population shifts across Spokane and Stevens Counties (WA) during the Old Trails, Autumn Lane, and Fairview fires to support Incident Management Teams in tracking evacuation compliance and urban influx.
Colombia Earthquakes: Facebook Data Situation Report
Evaluates immediate and ongoing population movements following M4.2–M7.4 earthquakes in Colombia, detailing major exodi around Dosquebradas and population influxes into urban centers like Medellín.
Winter Storm Fern: Population Change & Community Impacts
Analyzes county-level population displacements and mobility trends across the Southeastern U.S. following severe icing and network disruptions, integrated with socio-demographic indicators.
This project is supported by the U.S. National Science Foundation under award number 2229881. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation. More information on the National AI Research Institutes can be found at .