Peter H. Berghmans, Gerd Van Den Eede, & Bartel A. Van De Walle. (2008). A systems perspective on security risk identification: Methodology and illustrations from city councils. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 266–275). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we take a system theoretic perspective to the process of security risk identification in the context of city councils. Based on this approach, we construct a framework that helps to identify risks. We analyze why this methodological framework is suitable for the risk identification process. Research in fifty Flemish city councils reveals the usefulness of our approach of combining a perceived vs. objective perspective with a technical vs. organizational one. We believe such a framework offers a workable tool for dealing with IS security risks in a systems thinking way.
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Thomas Bernard, Mathias Braun, Olivier Piller, Denis Gilbert, Jochen Deuerlein, Andreas Korth, et al. (2013). SMaRT-OnlineWDN: Online security management and reliability toolkit for water distribution networks. 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. 171–176). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Water distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental contamination. Until now, no monitoring system is capable of protecting a WDN in real time. In the immediate future water service utilities that are installing water quantity and quality sensors in their networks will be producing a continuous and huge data stream for treating. The main objective of the project SMaRT-OnlineWDN is the development of an online security management toolkit for water distribution networks that is based on sensor measurements of water quality as well as water quantity and online simulation. Its field of application ranges from detection of deliberate contamination, including source identification and decision support for effective countermeasures, to improved operation and control of a WDN under normal and abnormal conditions.
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Han Che, & Shuming Liu. (2013). Monitoring data identification for a water distribution system based on data self-recognition approach. 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. 166–170). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Detecting the occurrence of hydraulic accidents or contamination events in the shortest time has always been a significant but difficult task. The simple and efficient way is to identify the sudden changes or outliers hidden in the vast amounts of monitoring data produced minute by minute, which is unpractical for human. A new method, which employs a data self-recognition approach to achieve that automatically, has been proposed in this paper. The autoregressive moving average (ARMA) model was employed in this research to construct the self-recognition model. 56 months monitoring data from Changping water distribution network in Beijing, which was firstly cut into different time-slice series, was used to establish the ARMA model. This provided a prediction confidence interval in order to identify the outliers in the test data series. The results showed a good performance in outlier identification and the accuracy ranges from 90% to 95%.Thus, the ARMA model showed great potential in dealing with monitoring data and achieving the expected performance of data self-recognition technology.
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Albert Y. Chen, Feniosky Peña-Mora, Saumil J. Mehta, Stuart Foltz, Albert P. Plans, Brian R. Brauer, et al. (2010). A GIS approach to equipment allocation for structural stabilization and civilian rescue. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Efficient request and deployment of critical resources for urban search and rescue operations is vital to emergency response. This paper presents a RFID (Radio Frequency Identification) supported system for on-site data collection to communicate structural condition, to track search and rescue status, and to request and allocate appropriate resources. The system provides a unified interface for efficient posing, gathering, storing and sharing of building assessment information. Visualization and easy access of such information enables rescuers to response to the disaster with better situational awareness. Resource requests are sent to the GIS resource repository service that enables a visual disaster management environment for resource allocation. Request and deployment of critical resources through this system enables lifesaving efforts, with the appropriate equipment, operator, and materials, become more efficient and effective. System development at the Illinois Fire Service Institute has shown promising results.
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Christoph Amelunxen, & Janina Isabella Sander. (2019). Information collection using process visualisation in the risk management concept for emergency response. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Security-critical processes of emergency response are part of a complex system of people, organisation and
technology. They are often characterised by their own dynamics, interconnectedness and information deficits. In
addition, a wide variety of stakeholders, some from different organisations, work together, each specialising in a
specific area. In order to capture this (process-) knowledge in risk management, information from the experts is
necessary. However, experts are difficult to access, often separated locally, cost-intensive and usually have little
time (discussion-) capacity. A pictogram-based process visualisation was developed within the risk management
concept. The method could be validated within a European project in an expert workshop. This was done using
the example of a CBRN mass casualty incident. By using the methods presented, very good qualitative and
quantitative results can be achieved from the perspectives of various organisations and their experts. The limited
resource ?expert? is used optimally.
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Edward J. Glantz, & Frank E. Ritter. (2017). Integrative Risk Identification Approach for Mass-Gathering Security. 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. 363–373). Albi, France: Iscram.
Abstract: Effective risk management begins with successful risk identification. Unfortunately, traditional approaches may lead to haphazard and incomplete results. To overcome this, we present a new integrative approach to improve risk identification that sequentially investigates protector-views and narrow scopes using literature review, ethnography, and subject matter expertise. This paper illustrates this approach by identifying man-made and natural threats to mass-gathering events in general, and stadium security as an example. Improving risk identification enhances resilience to known risks by enabling planning and development of targeted response strategies. Working from a more complete portfolio of risk resilience strategies may also improve flexibility and agility to respond to new and emerging risks.
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Corine H.G. Horsch, Nanja J. J. M. Smets, Mark A. Neerincx, & Raymond H. Cuijpers. (2013). Revealing unexpected effects of rescue robots' team-membership in a virtual environment. 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. 627–631). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In urban search and rescue (USAR) situations resources are limited and workload is high. Robots that act as team players instead of tools could help in these situations. A Virtual Reality (VR) experiment was set up to test if team performance of a human-robot team increases when the robot act as such a team player. Three robot settings were tested ranging from the robot as a tool to the robot as a team player. Unexpectedly, team performance seemed to be the best for the tool condition. Two side-effects of increasing robot's teammembership could explain this result: Mental workload increased for the humans who had to work with the team-playing robot, whereas the tendency to share information was reduced between these humans. Future research should, thus, focus on team-memberships that improve communication and reduce cognitive workload.
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Gabriel Jakobson, Nandan Parameswaran, John Buford, Lundy Lewis, & Pradeep Ray. (2006). Situation-Aware multi-Agent system for disaster relief operations management. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 313–324). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Natural and human-made disasters create unparalleled challenges to Disaster Situation Management (DSM). One of the major weaknesses of the current DSM solutions is the lack of comprehensive understanding of the overall disaster operational situation, and very often making decisions based on a single event. Such weakness is clearly exhibited by the solutions based on the widely used Belief-Desire-Intention (BDI) models for building the Muiti-Agent Systems (MAS). In this work we present the adaptation of the AESOP situation management architecture to address the requirements of disaster relief operations. In particular, we extend the existing BDI model with the capability of situation awareness. We describe how the key functions of event collection, situation identification, and situation assessment are implemented in MAS architecture suitable to the characteristics of large-scale disaster recovery. We present the details of a BDI agent in this architecture including a skeleton ontology, and the distributed service architecture of the AESOP platform.
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Robert Lawatscheck, Stephan Düsterwald, Carsten Wirth, & Torsten Schröder. (2012). ALARM: A modular IT solution to support and evaluate mass casualty incident (MCI) management. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: ALARM is a modular IT-solution to support emergency medical service (EMS) providers and rescue staff in mass casualty incident response and training. Seven modules were implemented, covering the entire process from preliminary triage, treatment support and resource management to tactical information and registration. Communication technology is used to close information and documentation gaps. The system uses medical algorithms and telemedicine to improve patient treatment. The ALARM system generates logs automatically including procedural time stamps and outcome factors such as triage and transport categories. This allows an objective analysis and comparison of missions and opens a new approach to evidence based MCI management and training. © 2012 ISCRAM.
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Maria A. Santos, António Gonçalves, Sandra Silva, Nuno Charneca, & Miguel Gamboa. (2004). Dam break emergency response Information System. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 27–32). Brussels: Royal Flemish Academy of Belgium.
Abstract: Although considered of low risk, incidents with dams may cause significant damage both directly and indirectly. Direct losses are usually easier to assess (assuming human lives are quantifiable), but indirect losses are difficult to measure and may take some time before the original situation is restored. Disaster prevention and vulnerability reduction have been topics of major concern in many local, national or international organisations for some years. These can be accomplished through emergency management which begins with hazard identification and planning for disaster mitigation but encompasses other activities as risk analysis, risk response and recovery. Therefore, an emergency management system with capacity to: i) forecast critical situations; ii) warn the population as well as the authorities; and iii) support the civil protection system to deal with an emergency, is a most helpful tool to minimize the impact of an accident. The Information System described herein fulfils mainly the third objective, i.e. it is intended to help the Civil Protection System in Portugal, to respond to an emergency caused by the failure of a dam. It is an Internet-based application, which integrates all relevant data for the implementation of a dam emergency plan. These data include the main characteristics of the dam and its reservoir, the character-isation of the dam downstream valley as well as the response procedures to be followed in an emergency. © Proceedings ISCRAM 2004.
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Krispijn Scholte, & Leon J.M. Rothkrantz. (2014). Personal warning system for vessels under bad weather conditions. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 359–368). University Park, PA: The Pennsylvania State University.
Abstract: Many services provide weather forecasts, including severe weather alerts for the marine. It proves that many ships neglect the warnings because they expect to be able to handle the bad weather conditions. In order to identify possible unsafe situations the Coast Guard needs to observe marine vessel traffic 24 hours, 7 days a week. In this paper we propose a system that is able to support the Coast Guard. Ships can be localized and tracked individually using the Automatic Identification System (AIS). We present a system which is able to send a personal alert to ships expected to be in danger now or the near future. Ships will be monitored in the dangerous hours and routed to safe areas in the shortest time. The system is based on AIS data, probabilistic reasoning and expertise from the Coast Guard. A first prototype will be presented for open waters around the Netherlands.
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Shada Alsalamah, Hessah Alsalamah, Jaziar Radianti, Sakher Alqahtani, Thamer Adnan Nouh, Mohamed Abomhara, et al. (2018). Information Requirements for Disaster Victim Identification and Emergency Medical Services:Hajj Crowd Disaster Case Study. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 861–873). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Disturbing crowd disaster incidents have been witnessed in every corner of the planet, which often lead to extensive difficulties, especially when they involve mass multi-nation casualties. When conducting Disaster Victim Identification (DVI) tasks, starting from finding the missing, curing the injured, and identifying the deceased, the challenge in such disasters is the lack of information to provide Emergency Medical Services (EMS) and conduct DVI in a timely manner. The literature presents fragmented solutions that can equip either post-mortem DVI or EMS with solutions to facilitate data collection and dissemination, but they do not consider a holistic solution that allows access to the victims' right information when needed. In this paper, we analyze information needs across multi-disciplines, as well as the requirements for technical support that can help manage the identification process. Recommendations should lay a sound foundation for future multi-disciplinary research in the areas of DVI, EMS, crowd disaster, health informatics, information security and software engineering in the health sphere.
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Yasir Javed. (2016). Sensors-based Crisis Response and Management for Mass Gatherings: A Case of Hajj. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Many people die or are lost every year during mass gatherings around the world hence making it very difficult for the local authorities to track them and identify them in case of accidents. This paper proposes a system for tracing of lost, injured and dead using network of Radio Frequency Identifiers (RFID) tags and mobile phones. With such a system, time, effort, and cost can be significantly minimized hence eliminating the psychological torture through which relatives of the lost passes though. The proposed system can also be used for crowd management in a real time. For outdoor tracking, where placing RFID readers is not practical, the paper proposes mobile-based peer to peer network for tracking pilgrims who don?t have access to the internet or don?t have GPS facility in their mobile phones. The paper also proposed a plan of testing the prototype in simulation.
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