Disaster Research and Management Series on the Global South – serie

This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management.AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.

In the last two decades, coastal regions have relatively endured some of the fiercest oceanic and geophysical disasters than the earlier decades. Yet, disaster management governance fails to match the human, nonhuman and environmental calamity which is unfolding in its most frequent and unpredictable pattern. Between the Asian Tsunami of 2004 to the devastating Chennai and Kerala floods of 2018 the socio-industrial-livelihood impact alerts governments towards a greater and more serious compliance to laws for coastal conservation. The United Nations Office for Disaster Risk Reduction (UNDRR) in 2018 had shocking statistics to share as the deaths and damages related to only Tsunami disaster at the coasts to 251,770 and US$280 billions respectively in the last 20 years (1998-2017) as compared to 998 and US$ 2.7 billion in the previous 20 years (1978-1997). Coastal conservation is no more a question of casual governance but has become a need for survival. The region of South Asia whichranks much higher in its vulnerability, weak resilience and relatively undersupplied governance structures ought to take this responsibility on a priority. The spirit of Hyogu Declaration and the Sendai Framework for Action suggests preparedness and resilience building as key approach areas in coastal governance. The book is incomparable in its holistic and transdisciplinary social science based approach to disaster management which links conservation of marine flora and fauna, ecosystems and land management with decision making processes and coastal regulations. These grass root findings from the subcontinent are substantiated by a section on the most powerful court battle on the Kerala Floods as a guideline for readers to discerningly identify an ‘Act of God’ often used as a veil to hide lack of preparedness, apathy and political greed. This book becomes indispensable reading for anyone involved in research, administration or any level of decision making for the mitigation and prevention of disasters.