Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda

Jaziar Radianti, Ioannis Dokas, Kees Boersma, Nadia Saad Noori, Nabil Belbachir, Stefan Stieglitz

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Despite all efforts like the introduction of new training methods and personal protective equipment, the need to reduce the number of First Responders (FRs) fatalities and injuries remains. Reports show that advances in technology have not yet resulted in protecting FRs from injuries, health impacts, and odorless toxic gases effectively. Currently, there are emerging technologies that can be exploited and applied in emergency management settings to improve FRs protection. The aim of this paper is threefold: First, to conduct scenario analysis and situations that currently threat the first responders. Second, to conduct gap analysis concerning the new technology needs in relations to the proposed scenarios. Third, to propose a research agenda and to discuss the role of Artificial Intelligence within it.

Original languageEnglish
Title of host publicationEngineering Applications of Neural Networks
Subtitle of host publication20th International Conference, EANN 2019, Proceedings
EditorsChrisina Jayne, Lazaros Iliadis, John Macintyre, Ilias Maglogiannis
PublisherSpringer Verlag
Pages368-376
Number of pages9
ISBN (Electronic)9783030202576
ISBN (Print)9783030202569
DOIs
Publication statusPublished - 2019
Event20th International Conference on Engineering Applications of Neural Networks, EANN 2019 - Hersonissos, Greece
Duration: 24 May 201926 May 2019

Publication series

NameCommunications in Computer and Information Science
Volume1000
ISSN (Print)1865-0929

Conference

Conference20th International Conference on Engineering Applications of Neural Networks, EANN 2019
CountryGreece
CityHersonissos
Period24/05/1926/05/19

Fingerprint

Hazardous Materials
Hazardous materials
Disaster
Disasters
Scenario Analysis
Emergency Management
Threefolds
Artificial intelligence
Artificial Intelligence
Health
Scenarios
Gases

Keywords

  • Emergency management
  • Emerging technologies
  • First responders
  • Hazardous materials

Cite this

Radianti, J., Dokas, I., Boersma, K., Noori, N. S., Belbachir, N., & Stieglitz, S. (2019). Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda. In C. Jayne, L. Iliadis, J. Macintyre, & I. Maglogiannis (Eds.), Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Proceedings (pp. 368-376). (Communications in Computer and Information Science; Vol. 1000). Springer Verlag. https://doi.org/10.1007/978-3-030-20257-6_31
Radianti, Jaziar ; Dokas, Ioannis ; Boersma, Kees ; Noori, Nadia Saad ; Belbachir, Nabil ; Stieglitz, Stefan. / Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda. Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Proceedings. editor / Chrisina Jayne ; Lazaros Iliadis ; John Macintyre ; Ilias Maglogiannis. Springer Verlag, 2019. pp. 368-376 (Communications in Computer and Information Science).
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Radianti, J, Dokas, I, Boersma, K, Noori, NS, Belbachir, N & Stieglitz, S 2019, Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda. in C Jayne, L Iliadis, J Macintyre & I Maglogiannis (eds), Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Proceedings. Communications in Computer and Information Science, vol. 1000, Springer Verlag, pp. 368-376, 20th International Conference on Engineering Applications of Neural Networks, EANN 2019, Hersonissos, Greece, 24/05/19. https://doi.org/10.1007/978-3-030-20257-6_31

Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda. / Radianti, Jaziar; Dokas, Ioannis; Boersma, Kees; Noori, Nadia Saad; Belbachir, Nabil; Stieglitz, Stefan.

Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Proceedings. ed. / Chrisina Jayne; Lazaros Iliadis; John Macintyre; Ilias Maglogiannis. Springer Verlag, 2019. p. 368-376 (Communications in Computer and Information Science; Vol. 1000).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Radianti J, Dokas I, Boersma K, Noori NS, Belbachir N, Stieglitz S. Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda. In Jayne C, Iliadis L, Macintyre J, Maglogiannis I, editors, Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Proceedings. Springer Verlag. 2019. p. 368-376. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-20257-6_31