Benedikt Weber, Thomas Deckers, & Frank Wilson. (2013). Interoperability during a cross-border firefighting operation at the dutch-german border. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 925–926). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: This practitioner report describes a moor- And turf-fire that occurred in 2011 at the Dutch-German border and was engaged by forces both from the Netherlands and Germany. All involved emergency management organizations were facing interoperability issues when it came to cross-border cooperation, although cooperation handbooks were already in use and the involved organizations were used to work together. The size of the incident and it's remote location called for an increased coordination between all involved actors and across all command levels.
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Matthias Max, & Johannes Sautter. (2013). Analysis of a German first responder exercise: Requirements for exercise-support and simulation. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 923–924). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The work of first responders is marked by unpredictable situations, quick decisions and peak performance. Gathering all important information related to an emergency situation forms the basis for a meaningful and purposeful planning and action. For example during an accident scene the execution of complex individual orders is crucial. The many rescue facilities, rescue vehicles, and first responders needed lead to complex workflows. Real-life exercises are necessary to train controllers and first responders in handling these special situations, but are difficult and costly to organize. This paper gives a short overview of such an exercise and draws a rough practitioner-based vision of a potential simulation-based interactive system that could support exercise leaders and decision makers towards an effective utilization of real-life exercise data.
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Maximilian Walther, Sven Schaust, & Michael Kaisser. (2013). Social media-based event detection for crisis management in the al za'atari refugee camp. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 927–928). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Social Media data allows for profound analyses of user-generated content in order to predict or manage disasters and crisis situations. In this paper, we present an analysis of tweets from and about Al Za'atari, a refugee camp in Jordan close to the Syrian border. Our results are based on the analysis of location-tagged tweets by our “Avalanche” system in order to support an accurate situational awareness picture for on-site and off-site operators from relief organizations on evolving events and challenges.
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Omar A. Owais, Ali Ghaffarian Hoseini, Hamzah E. Alqudah, & Mani Poshdar. (2023). Deployment of Autonomous Vehicles to Support Emergency Response During Crisis. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 56–67). Palmerston North, New Zealand: Massey Unversity.
Abstract: Emergency response services face massive pressure during global crises, such as COVID-19. The food supply logistics sector is one of the pressures that impacted the emergency response services, due to crisis restrictions. A regulatory framework to deploy autonomous vehicles, in any nominated country, has been presented to boost the food supply logistics as an emergency response to critical situations to serve isolated areas. This framework resulted in three steps to deploy AVs in the nominated country, which are evaluating their legislation, modifying their existing regulations accordingly, and ensuring the full deployment of the innovative technology. This is done by minimising person-to-person contact during the transportation and distribution phase. In conclusion, fully autonomous vehicles can help lift the pressure from the emergency response teams in the food supply transportation and distribution phase to meet the basic living requirements for human needs during global crises.
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Peng Xia, Ji Ruan, Dave Parry, Jian Yu, & Sally Britnell. (2023). Enhancing Triage Training for Mass Casualty Incidents with Virtual Reality and Artificial Intelligence. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 68–76). Palmerston North, New Zealand: Massey Unversity.
Abstract: Mass casualty incidents (MCIs) occur with natural or man-made disasters. Training emergency staff for combating MCIs is essential, but the cost can be high as such incidents rarely occur, and a physical simulation is resource-intensive. Triage is a critical task in dealing with MCIs. In this paper, we propose to use Virtual Reality (VR) and Artificial Intelligence (AI) technologies to build a low-cost, high-efficient system for MCI triage training. Our system captures more comprehensive training data and utilizes state-of-the-art AI evaluation methods.
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Robert Munro, Tyler Schnoebelen, & Schuyler Erle. (2013). Quality analysis after action report for the crowdsourced aerial imagery assessment following hurricane sandy. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 929–930). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
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