Data-Driven Risk Assessments Dr. Rouba Ziade - 02 – 03 October 2023

Sources of Data Seismographic and Geodetic Data Meteorological Climate Models Data Hydrological Building and Data Historical Data Infrastructure Data Sensor Remote Sensing Network Data SocioEconomic Data Geological Data Crowdsourcing Data Quality Data maintenance, verification, and regular updates are essential components of hazard risk assessment for several critical reasons: Accuracy and Relia. [...] Data Driven Risk Models Development Data Driven Risk Models Development Data Driven Risk Models Development Wildfire Prediction and Monitoring: Application: Data from weather satellites, ground-based weather stations, and remote sensing tools are used to assess factors like temperature, humidity, wind speed, and fuel moisture content. [...] Emerging Trends in Data-Driven Risk Assessment Geospatial and Satellite Data Utilization: The integration of geospatial and satellite data with big data analytics is improving the assessment and prediction of natural hazards, such as wildfires, hurricanes, and earthquakes. [...] Data Quality and Integration: Data Silos: Integrating data from various sources with different formats and structures can be challenging, leading to data silos and inconsistencies. [...] Resource Constraints: Data Infrastructure: Developing and maintaining the necessary data infrastructure and computational resources can be costly for organizations and governments.