Navigating Complexity Understanding Human Responses To Multifaceted Disasters
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Navigating Complexity: Understanding Human Responses to Multifaceted Disasters
This thought-provoking book unravels the intricate interplay between human behavior and disasters, weaving a rich narrative that transcends traditional boundaries. Embark on a captivating exploration of human responses to multifaceted disasters with this book. Unveiling the human psyche and the intricate web of emotions that intertwine with disaster events, this book offers a profound understanding of human responses to multifaceted disasters. Written with precision and meticulous research, this book captivates scholars, practitioners, and policymakers alike. Its multidimensional perspectives offer valuable insights for disaster management, urban planning, sociology, and public health, transcending disciplinary boundaries.
The Routledge Handbook of Disaster Response and Recovery
The Routledge Handbook of Disaster Response and Recovery covers the two post-disaster stages of the disaster cycle and presents am extensive and cutting-edge overview of their many considerations. Organized into two parts, Response and Recovery, this handbook details the history, theories, methods, debates, and emerging issues in the stages of response and recovery. Using a transdisciplinary approach, the myriad topics examined in this handbook include search and rescue, myths related to disaster response, technological methods for response, recovery among vulnerable populations, and the intersection of disasters and mental health. Contributors discuss these issues both globally as well as country- and disaster-specific. This book is an essential guide and reference not only for scholars engaged in disaster research, but also for undergraduate and graduate students, policy makers, disaster managers, international and supranational agencies, and humanitarian and volunteer organizations engaged in disaster management.
Internet of Things and AI for Natural Disaster Management and Prediction
In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.