Prevent AI from Influences: A Challenge for Lazy, Profligate Governments
Introducing AI application tools in Disaster Risk Reduction (DRR) drives a social scientist naturally to its impact on vulnerable communities and high risk zones. While AI applications in disaster prevention is a constant search for balancing human privac
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AI and Robotics in Disaster Studies Edited by T. V. Vijay Kumar Keshav Sud
Disaster Research and Management Series on the Global South Series Editor Amita Singh Centre for the Study of Law and Governance & Special Centre for Disaster Research Jawaharlal Nehru University New Delhi, India
Disaster Research and Management Series on the Global South is a series coming out of Special Centre for Disaster Research (SCDR) at Jawaharlal Nehru University (JNU), Delhi, India. SCDR is the first in Asia Pacific to start a course on disaster research within a social science perspective. The series follows and publishes pedagogical and methodological change within the subject. The new direction of teaching, research and training turns from ‘hazard based’ to ‘resilience building’. The series taps such research for the benefit of institutes and higher education bodies of the global south. It also suggests that much of the western literature based upon rescue, relief and rehabilitation which is also being taught in the Asian institutes is not directly relevant to managing disasters in the region. It provides reading and study material for the developing field of disaster research and management. 1. Generates a non-west transdisciplinary literature on disaster research and studies 2. Strengthens disaster governance and improves its legal framework 3. Sensitizes disaster management authorities towards key priorities and attention areas 4. Focus on preparedness is strongly proposed and revisited 5. Highlights changes in pedagogy and methodology of disaster research and teaching 6. Mainstream vulnerable communities of differently abled, elderly, women, children 7. Indicate strategies needed to protect city animals, birds and wildlife during disasters More information about this series at http://www.palgrave.com/gp/series/16402
T. V. Vijay Kumar • Keshav Sud Editors
AI and Robotics in Disaster Studies
Editors T. V. Vijay Kumar School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi, India
Keshav Sud Data Science Keurig Dr Pepper Burlington, MA, USA
ISSN 2662-4176 ISSN 2662-4184 (electronic) Disaster Research and Management Series on the Global South ISBN 978-981-15-4290-9 ISBN 978-981-15-4291-6 (eBook) https://doi.org/10.1007/978-981-15-4291-6 © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific
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