Preface -- Networks under deep uncertainty -- Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future Directions -- An Enhanced Multi-UAVs' Provider Framework for Delivering 5G Services using a Game Theoretic Approach -- Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations -- Prioritized Maximum Multi-Commodity Flow in Evacuation Planning -- Analysis of Digital Narratives of Greece’s Worst Train Accident -- Quantification of International Trade Network Performance Under Disruptions to Supply, Transportation, and Demand Capacity, and Exchange Rates in Disasters -- A geo-database of natural hazard events to identify relationships between hazards -- A random variational inequality model of an international agricultural supply chain with a vulnerability analysis under disaster scenarios -- Assessing the Impact of Multi-Hazard Events in Spain: A Clustering Index Framework.

Based on the “Sixth International Conference on Dynamics of Disasters” (Piraeus, Greece, July 2023), this volume includes contributions from experts who share their latest discoveries on disasters either caused by natural phenomena or human activities. Authors provide overviews of the tactical points involved in disaster relief, outlines of hurdles from mitigation and preparedness to response and recovery and uses for mathematical models to describe disasters and their impacts. This volume includes additional invited manuscripts from other experts and leaders in the field. Topics covered include economics, optimization, machine learning, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies and will engage readers from a wide variety of fields and backgrounds.