Public Safety and Intelligent Emergency (PSIE, ISSN：3118-1775) is an open-access academic journal published in English. PSIE is dedicated to advancing the scientific, technological, and managerial dimensions amid modern urbanization and industrial progression. It publishes original articles and comprehensive review articles which address public safety and emergency science and technology. It will rigorously adhere to the established academic standards. In order to enhance the global capabilities in safety prevention and control and to optimize emergency response efficacy, the journal promotes the application of artificial intelligence methodologies through the diffusion of intellectual leadership. It aims to provide robust academic and technical support for global public safety and emergency governance. The Public Safety and Intelligent Emergency invites submissions of original research papers, review papers, case studies, and technical reports covering topics including but not limited to:

Urban and Industrial Safety: Urban Resilience Assessment and Enhancement, Urban Natural Disaster Prevention and Control, Urban Lifeline Safety, Public Health Safety, Gas and Dust Explosion Prevention and Control, Special Equipment Safety, Industrial Process Automation Safety.

Mine Safety: Disaster Causing Mechanism of Mine, Disaster Monitoring and Early Warning in Mine, Mine Emergency Rescue.

Fire Safety: Fire Dynamics, Building Fire Safety, Wildland Fire Prevention and Control, Energy Storage and New Energy Fire Safety, Smart Fire Fighting, Underground Space Fire Safety, Pedestrian Evacuation, Large-Scale Fires.

Safety Materials: Functional Materials for Flame-Retardant, High Efficiency Fire Extinguishing Materials, the Evolution and Improvement of Safety Material Properties.

Occupational Safety and Health: Generation Mechanism and Migration of Industrial Dust, Prevention and Control Technology for Industry Dust, Mechanism and Prevention of Occupational Health Hazards.

Emergency Technology & Management: Safety Sensing Technology, Intelligent Monitoring, Early Warning Methods and Technologies, Emergency Response