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, Proceedings |
| Editors | Chrisina Jayne, Lazaros Iliadis, John Macintyre, Ilias Maglogiannis |
| Publisher | Springer Verlag |
| Pages | 368-376 |
| Number of pages | 9 |
| ISBN (Electronic) | 9783030202576 |
| ISBN (Print) | 9783030202569 |
| DOIs | |
| 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 |
Conference
| Conference | 20th International Conference on Engineering Applications of Neural Networks, EANN 2019 |
|---|---|
| Country | Greece |
| City | Hersonissos |
| Period | 24/05/19 → 26/05/19 |
Fingerprint
Keywords
- Emergency management
- Emerging technologies
- First responders
- Hazardous materials
Cite this
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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 proceeding › Conference contribution › Academic › peer-review
TY - GEN
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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UR - http://www.scopus.com/inward/citedby.url?scp=85065889788&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-20257-6_31
DO - 10.1007/978-3-030-20257-6_31
M3 - Conference contribution
SN - 9783030202569
T3 - Communications in Computer and Information Science
SP - 368
EP - 376
BT - Engineering Applications of Neural Networks
A2 - Jayne, Chrisina
A2 - Iliadis, Lazaros
A2 - Macintyre, John
A2 - Maglogiannis, Ilias
PB - Springer Verlag
ER -