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The 10th Workshop of Knowledge Management & E-Learning: Network Science in Disaster and Public Health Preparedness


Network Science in Disaster and Public Health Preparedness

 

Prof. Liaquat Hossain

Professor & Head, Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong

Dr. Shihui Feng

Assistant Lecturer, Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong

 

July 10 (Tue), 2018, 10:00-12:00

Exhibition Hall, 3/F, Block A, Jingshi Science & Technology Mansion, Advanced Innovation Center for Future Education, Beijing Normal University, China

 

Abstract:

Network science provides us with theoretical and methodological foundations drawn from physics, graph theory, sociology and social psychology to make sense of various complex systems in disaster and public health preparedness. Disaster and public health preparedness is a collective action conducted by a group of individuals and organizations, in which information and communication flow from multi levels becomes critical to the functioning of the complex systems. Awareness of locally situated knowledge and shared understanding of disasters among public and hierarchical governing systems can be instrumental in supporting decision making, early warning and outbreak detection. Network science enables us to analyze the underlying structures and model the dynamics of networks representative of real-world systems in disasters. From this, we can examine the effectiveness of disaster management, monitor public awareness, achieve early recognition of disaster occurrence, and enhance the robustness of response systems. Data availability provided by digital evolution can support the study of large scale network in disaster at local and global level. Our proposition is here to suggest effective strategies using network science to study social and organizational systems at play in disaster preparedness and response. In our presentation, we will present a series of work related to modelling social systems for detecting early warning signs, improving our understanding of locally situated information of disaster affected areas, and supporting communication and collaboration across public and hierarchical governing systems. We will further discuss strategies to develop a hybrid information flow among public and governing systems for improving disaster and public health preparedness.

Bio:

Liaquat Hossain, Ph.D. Professor of Information Management and Head of the Division of Information and Technology Studies, The University of Hong Kong. His research deals with disaster/crisis management and resilience for dealing with disasters related to flood, fire, tsunami, disease outbreaks from food, zoonotic diseases and other man made and bio related security preparedness and response.