Ana María Cintora, Eva Teresa Robledo, Cristina Gomez, Raquel Lafuente, Ricardo García, & Cristina Horrillo. (2022). Analysis of the Chemical Incidents from Seveso Directive according to Direct Fatalities and Injuries. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 1058–1067). Tarbes, France.
Abstract: This paper provides a descriptive analysis of the eMARS database, which contains compulsory information on major chemical incidents under the SEVESO Directive. This analysis serves to assess the installations with the highest number of direct fatalities and injuries. At present, the data collected to assess the status of chemical accident risk globally are rather limited. There are some sources of data on chemical accidents in government and industry that might be used to estimate the frequency and severity of some types of events, but they are far from providing a complete perspective that covers all chemical accidents, thus limiting the possibilities of obtaining a more homogeneous picture of the risk of chemical accidents worldwide. Waste storage, treatment and disposal is one of the industrial areas with the highest number of fatalities and injuries, so we must emphasize the importance of this type of industry within the risk maps.
|
|
Lars Gerhold, Roman Peperhove, & Edda Brandes. (2020). Using Scenarios in a Living Lab for improving Emergency Preparedness. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 568–579). Blacksburg, VA (USA): Virginia Tech.
Abstract: Emergency preparedness and management processes are highly influenced by the use of digital technologies. Unfortunately, due to their rapid development, stakeholders from civil protection as well as policy makers often are not aware of new technological possibilities, their potentials and risks. This paper offers a methodological approach to experience evolving technologies by using scenarios in a living lab, equipped with demonstrators from recent research projects. The scenarios are presented to stakeholders from civil protection and policy making by telling a future story about the potential usage of emerging technologies. The Future Security Lab allows addressees to see, understand and use technologies that may become relevant within the next five to ten years and so a profound basis for knowledge transfer is offered. The case study “Digitalization of Emergency Preparedness 2025” demonstrates how scenarios can be used to integrate demonstrators in stories about the future of civil protection. First results of an evaluation provide positive feedback from attendees.
|
|
Rahul Pandey, Brenda Bannan, & Hemant Purohit. (2020). CitizenHelper-training: AI-infused System for Multimodal Analytics to assist Training Exercise Debriefs at Emergency Services. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 42–53). Blacksburg, VA (USA): Virginia Tech.
Abstract: The adoption of Artificial Intelligence (AI) technologies across various real-world applications for human performance augmentation demonstrates an unprecedented opportunity for emergency management. However, the current exploration of AI technologies such as computer vision and natural language processing is highly focused on emergency response and less investigated for the preparedness and mitigation phases. The training exercises for emergency services are critical to preparing responders to perform effectively in the real-world, providing a venue to leverage AI technologies. In this paper, we demonstrate an application of AI to address the challenges in augmenting the performance of instructors or trainers in such training exercises in real-time, with the explicit aim of reducing cognitive overload in extracting relevant knowledge from the voluminous multimodal data including video recordings and IoT sensor streams. We present an AI-infused system design for multimodal stream analytics and lessons from its use during a regional training exercise for active violence events.
|
|
Andrew J. Hampton, Shreyansh Bhatt, Alan Smith, Jeremy Brunn, Hemant Purohit, Valerie L. Shalin, et al. (2017). Constructing Synthetic Social Media Stimuli for an Emergency Preparedness Functional Exercise. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 181–189). Albi, France: Iscram.
Abstract: This paper details the creation of a massive (over 32,000 messages) artificially constructed 'Twitter' microblog stream for a regional emergency preparedness functional exercise. By combining microblog conversion, manual production, and a control set, we created a web-based information stream providing valid, misleading, and irrelevant information to public information officers (PIOs) representing hospitals, fire departments, the local Red Cross, and city and county government officials. Addressing the challenges in constructing this corpus constitutes an important step in providing experimental evidence that complements observational study, necessary for designing effective social media tools for the emergency response setting. Preliminary results in the context of an emergency preparedness exercise suggest how social media can participate in the work practice of a PIO concerning the assessment of the disaster and the dissemination of information within the emergency response organization and to the public.
|
|
Avgoustinos Filippoupolitis, Lachlan MacKinnon, & Liz Bacon. (2015). A Survey on Emergency Preparedness of EU citizens. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Population preparedness plays a crucial role in disaster management since it can help reduce the number of victims and restrict damage. Nevertheless, little work has been done at a European level towards preparing populations to learn how to cope with disasters and involving them in the disaster management process. In this paper we present the preliminary results of an on-line emergency preparedness survey circulated among EU citizens, which aims to identify and analyse people?s behaviour in terms of preparedness, first reaction, risk awareness and willingness to engage in preparedness actions. Our preliminary analysis, based on over 1200 participants, indicates that although EU populations have a high capability for participation in emergency response, their preparedness level is low. We also found that national differences are a significant factor affecting individual preparedness behaviour and awareness of risks.
|
|