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

doi: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

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

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	Engineering Applications of Neural Networks
Subtitle of host publication	20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings
Editors	Lazaros Iliadis, Ilias Maglogiannis, John Macintyre, Chrisina Jayne
Publisher	Springer Verlag
Pages	368-376
Number of pages	9
ISBN (Electronic)	9783030202576
ISBN (Print)	9783030202569
DOIs	https://doi.org/10.1007/978-3-030-20257-6_31
Publication status	Published - 2019
Event	20th International Conference on Engineering Applications of Neural Networks, EANN 2019 - Hersonissos, Greece Duration: 24 May 2019 → 26 May 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1000
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	20th International Conference on Engineering Applications of Neural Networks, EANN 2019
Country/Territory	Greece
City	Hersonissos
Period	24/05/19 → 26/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 8 Decent Work and Economic Growth

Keywords

Emergency management
Emerging technologies
First responders
Hazardous materials

Access to Document

10.1007/978-3-030-20257-6_31

Enhancing Disaster Response for Hazardous Materials Using Emerging TechnologiesFinal published version, 173 KBLicence: Article 25fa Dutch Copyright Act

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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 L. Iliadis, I. Maglogiannis, J. Macintyre, & C. Jayne (Eds.), Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 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 et al. / 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, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings. editor / Lazaros Iliadis ; Ilias Maglogiannis ; John Macintyre ; Chrisina Jayne. Springer Verlag, 2019. pp. 368-376 (Communications in Computer and Information Science).

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

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.",

keywords = "Emergency management, Emerging technologies, First responders, Hazardous materials",

author = "Jaziar Radianti and Ioannis Dokas and Kees Boersma and Noori, \{Nadia Saad\} and Nabil Belbachir and Stefan Stieglitz",

year = "2019",

doi = "10.1007/978-3-030-20257-6\_31",

language = "English",

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editor = "Lazaros Iliadis and Ilias Maglogiannis and John Macintyre and Chrisina Jayne",

booktitle = "Engineering Applications of Neural Networks",

address = "Germany",

note = "20th International Conference on Engineering Applications of Neural Networks, EANN 2019 ; Conference date: 24-05-2019 Through 26-05-2019",

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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 L Iliadis, I Maglogiannis, J Macintyre & C Jayne (eds), Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 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 et al.
Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings. ed. / Lazaros Iliadis; Ilias Maglogiannis; John Macintyre; Chrisina Jayne. Springer Verlag, 2019. p. 368-376 (Communications in Computer and Information Science; Vol. 1000).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda

AU - Radianti, Jaziar

AU - Dokas, Ioannis

AU - Boersma, Kees

AU - Noori, Nadia Saad

AU - Belbachir, Nabil

AU - Stieglitz, Stefan

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Emergency management

KW - Emerging technologies

KW - First responders

KW - Hazardous materials

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DO - 10.1007/978-3-030-20257-6_31

M3 - Conference contribution

AN - SCOPUS:85065889788

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T3 - Communications in Computer and Information Science

SP - 368

EP - 376

BT - Engineering Applications of Neural Networks

A2 - Iliadis, Lazaros

A2 - Maglogiannis, Ilias

A2 - Macintyre, John

A2 - Jayne, Chrisina

PB - Springer Verlag

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Y2 - 24 May 2019 through 26 May 2019

ER -

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 Iliadis L, Maglogiannis I, Macintyre J, Jayne C, editors, Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings. Springer Verlag. 2019. p. 368-376. (Communications in Computer and Information Science). Epub 2019 May 15. doi: 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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