Data Science For Disaster Management
Disaster preparedness begins with understanding and assessing the risks associated with potential hazards. Data science techniques, such as risk modeling, vulnerability mapping, and scenario analysis, enable organizations to identify areas prone to disasters, assess the potential impact, and develop mitigation strategies.