Disaster Research and Management Series on the Global South

AI and Robotics in Disaster Studies

Editors: Kumar, T. V. Vijay, Sud, Keshav (Eds.)

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  • Introduces policy makers to benefits and challenges of artificial intelligence and robotics
  • Liberates disaster management from technology deterministic approach to a more holistic and inclusive dialogue of technology incorporation
  • Presents strategies appropriate for encountering varieties of fast changing situations in disaster management
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eBook $109.00
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  • ISBN 978-981-15-4291-6
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Hardcover $139.99
price for USA in USD
  • ISBN 978-981-15-4290-9
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  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

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.

About the authors

Prof. Dr T.V. Vijay Kumar is Professor and Dean, School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), Delhi, India.

Dr Keshav Sud is currently working as Senior Manager of Data Science at Keurig Dr Pepper where he is leading the development of recommendation engines. Dr. Sud is a well-recognized expert in the field of AI with first authorship of numerous scholarly articles in internationally recognized professional publications.

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Introduction: Enhancing Capacity to Manage Disasters

    Pages 1-10

    Singh, Amita

  • Artificial Intelligence and Early Warning Systems

    Pages 13-32

    Lamsal, Rabindra (et al.)

  • Artificial Intelligence in Disaster Management: Rescue Robotics, Aerial Mapping and Information Sourcing

    Pages 33-46

    Sud, Keshav

  • Optimal Visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Experiments

    Pages 47-62

    Lederman, Eran (et al.)

  • Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview

    Pages 63-81

    Ofli, Ferda (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-981-15-4291-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-981-15-4290-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
AI and Robotics in Disaster Studies
Editors
  • T. V. Vijay Kumar
  • Keshav Sud
Series Title
Disaster Research and Management Series on the Global South
Copyright
2020
Publisher
Palgrave Macmillan
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-4291-6
DOI
10.1007/978-981-15-4291-6
Hardcover ISBN
978-981-15-4290-9
Series ISSN
2662-4176
Edition Number
1
Number of Pages
XIX, 263
Number of Illustrations
38 b/w illustrations
Topics