@inproceedings{b3680b121fc849c28d0685e5ee54b535,
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",
isbn = "9783030202569",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "368--376",
editor = "Chrisina Jayne and Lazaros Iliadis and John Macintyre and Ilias Maglogiannis",
booktitle = "Engineering Applications of Neural Networks",
address = "Germany",
}