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Ronja Addams-Moring. (2007). Tsunami self-evacuation of a group of western travelers and resulting requirements for multi-hazard early warning. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 83–92). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes the experiences of a West-European project group in Sri Lanka in March 2005, during a tsunami threat. They had previous disaster related knowledge and used both local guidance, global media and contacts back home, but could not get adequate information about how much time they had, how likely a tsunami was, or which countries had ordered evacuations. Their decision to evacuate was based on their own reasoning and influenced most by one trusted local resident. Their mobile phone communication with their relations in Europe created a de facto ad hoc mobile emergency announcement (MEA) system. Their decision to return relied heavily on the ad hoc MEA text messages, as local authorities had not yet issued an all-clear. The findings underline the importance of multiple early warning languages and delivery channels and suggest that when relevant, 'event onset time' should be explicit in early warning.
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Kpotissan Adjetey-Bahun, Babiga Birregah, Eric Châtelet, Jean-Luc Planchet, & Edgar Laurens-Fonseca. (2014). A simulation-based approach to quantifying resilience indicators in a mass transportation system. 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. 75–79). University Park, PA: The Pennsylvania State University.
Abstract: A simulation-based model used to measure resilience indicators of the railway transportation system is presented. This model is tested through a perturbation scenario: the inoperability of a track which links two stations in the system. The performance of the system is modelled through two indicators: (a) the number of passengers that reach their destination and (b) the total delay of passengers after a serious perturbation. The number of passengers within a given station at a given time is considered as early warning in the model. Furthermore, a crisis management plan has been simulated for this perturbation scenario in order to help the system to recover quickly from this perturbation. This crisis management plan emphasizes the role and the importance of the proposed indicators when managing crises.
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Anastasios Karakostas, Stefanos Vrochidis, Yiannis Kompatsiaris, Boris Kantsepolsky, Jürgen Moßgraber, Stamatia Dasiopoulou, et al. (2018). beAWARE: Enhancing Decision Support and Management Services in Extreme Weather Climate Events. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1136–1139). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. The main goal of beAWARE framework is to provide support in all the phases of an emergency incident. More specifically, we propose an integrated solution to support forecasting, early warnings, transmission and routing of the emergency data, aggregated analysis of multimodal data and management the coordination between the first responders and the authorities.
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Andrew Marinik, Ludwig Gantner, Scott Fritz, & Sean Smith. (2020). Developing Performance Metrics of an Emergency Notification System. 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. 663–668). Blacksburg, VA (USA): Virginia Tech.
Abstract: The use of emergency notification systems (ENS), or early warning systems, are not only common practice among Institutes of Higher Education (IHEs), but are required by law in the United States. The dramatic increase in use is matched by the increase in community expectation. This community expectation corresponding with societal shifts challenges Public Safety leaders to implement and maintain a broad and highly reliable ENS. Most Public Safety programs lack the internal resources to consistently assess system risk, reliability, and messaging validity of their ENS sufficient to match the required system performance. Virginia Tech Emergency Management is proposing an ENS evaluation system capable of supporting assessment of reliability and risk across the entire system through the lens of Socio-Technical Systems (STS) theory at a practitioner level. By organizing emergency notification/early warning systems through Human Subsystems, Technical Subsystems, and Task Design the practitioner can assess their system by performance and risk.
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Benjamin Hong, Chanthujan Chandrakumar, Danuka Ravishan, & Raj Prasanna. (2023). A Peer-to-Peer Communication Method for Distributed Earthquake Early Warning Networks: Preliminary Findings. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 111–116). Palmerston North, New Zealand: Massey Unversity.
Abstract: This work-in-progress paper presents preliminary findings of ongoing research into alternative peer-to-peer (P2P) communication methods for earthquake early warning (EEW) systems. It expands upon previous work (Prasanna et al., 2022) that explores a network architecture for a decentralised EEW system. This paper explores using Quick UDP Internet Connections (QUIC) over a hole-punched UDP tunnel as a potential alternative to a Software-Defined Wide Area Network (SD-WAN) for peer-to-peer networking in an experimental EEW network architecture. The performance of QUIC is tested and compared to TCP over ZeroTier, an SD-WAN chosen as a P2P communication method in the previous work, over a realistic network topology. The results show that QUIC can outperform TCP over ZeroTier. Future work is needed to produce a method suitable for actual use in an EEW system. This paper contributes to the EEW literature by introducing a new method of communication tailored for EEW.
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Chanthujan Chandrakumar, Raj Prasanna, Max Stephens, Marion Lara Tan, Caroline Holden, Amal Punchihewa, et al. (2023). Algorithms for Detecting P-Waves and Earthquake Magnitude Estimation: Initial Literature Review Findings. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 138–155). Palmerston North, New Zealand: Massey Unversity.
Abstract: Earthquake Early Warning System (EEWS) plays a major role during an earthquake in alerting the public and authorities to take appropriate safety measures during an earthquake. Generally, EEWSs use three types of algorithms to generate alerts during an earthquake; namely: source-based, ground motion or wavefield-based and on-site-based approaches. However, source-based algorithms are commonly used in most of EEWSs worldwide. A source-based EEWS uses a particular time frame of the P-wave of an earthquake to estimate the source parameters such as magnitude and the location of that earthquake with the support of P-wave detection and earthquake magnitude and location estimation algorithms. As the initial step of a research project which aims to explore the best use of P-waves to generate earthquake alerts, this Work in Progress paper (WiPe) presents the initial partial findings from an ongoing literature review on exploring the algorithms used for P-wave detection and earthquake magnitude estimation.
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Angela I. Chung, Jesse F. Lawrence, & Carl Christensen. (2013). Evaluating the integrability of the quake-catcher network (QCN). 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. 386–390). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: This paper reviews the Quake-Catcher Network (QCN), a distributed computing seismic network that uses lowcost USB accelerometers to record earthquakes, and discusses the potential to incorporate QCN stations with traditional seismic networks. These very dense urban networks could then be used to create a working earthquake early warning system, as has been shown by our preliminary tests of the QCN in Christchurch, New Zealand. Although we have not yet attempted to add traditional seismometers to the QCN or supplement existing seismic networks with QCN sensors, we suggest that to do so would not be difficult, due to the simple nature of our network.
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Tom De Groeve, & Patrick Riva. (2009). Early flood detection and mapping for humanitarian response. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Space-based river monitoring can provide a systematic, timely and impartial way to detect floods of humanitarian concern. This paper presents a new processing method for such data, resulting in daily flood magnitude time series for any arbitrary observation point on Earth, with lag times as short as 4h. Compared with previous work, this method uses image processing techniques and reduces the time to obtain a 6 year time series for an observation site from months to minutes, with more accurate results and global coverage. This results in a daily update of major floods in the world, with an objective measure for their magnitude, useful for early humanitarian response. Because of its full coverage, the grid-based technique also allows the automatic creation of low-resolution flood maps only hours after the satellite passes, independent of cloud coverage.
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Simone De Kleermaeker, Annette Zijderveld, & Bart Thonus. (2011). Training for crisis response with serious games based on early warning systems. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper discusses serious games developed as part of a training program developed for a Dutch crisis response group, which acts during a (potential) flooding crisis. Training in general contributes to a wide range of learning objectives and can address different target audiences. For each combination of learning objective and target audience, the proper form of education has to be selected, ranging from self-tuition to large scale multi-party training and exercises. Serious games can be a useful and educational addition to the set of existing training tools. For operational crisis response groups a high match with real-time warning systems is essential. Our approach shows how to integrate both serious games and early warning systems for effective training and exercises. We end with our lessons learned in designing serious games based on early warning systems, in the context of a training program for a crisis response group.
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David Díez, Paloma Díaz, & Ignacio Aedo. (2010). Virtual communities of practice: Design directions for technology-mediated collaboration in the early warning activity. 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: The performance of early warning activities involves the management of complex situations as uncertainty is common, information is frequently scattered and the number of stakeholders affected is large. In this context, the performance of early warning activities is distinguished by the significance of internalized experience as well as the generalized use of cultural knowledge, internalized domain knowledge and tacit knowledge. A suitable and well-known way to endorse the creation and exchange of this kind of knowledge -usually called soft knowledge- is the application of communities of practitioners. Based on the review of the communities of practice approach, its principles and rationale, this paper proposes a set of design guidelines aimed at addressing the technological design of technological platforms that support the creation, exchange and acquisition of soft knowledge for its application in early warning activities.
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Dimitrios Kavallieros, George Leventakis, Stefanos Malliaros, Ioannis Daniilidis, & Vasileios Grizis. (2015). PPDR Information Systems ? A Current Status Review Report. 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: Public safety organizations include emergency and law enforcement agencies, fire departments, rescue squads, and Emergency Medical Services (EMS). In response to increasing threats of terrorism and natural disasters, safety and security personnel must overcome technology barriers to enhance their efficiency, especially in the neuralgic section of information exchange. Limited availability of information hinders the response time and decision making process. Efficient communications supported by interoperable technology are vital to the situational awareness, scalability, and effectiveness of incident response. This paper?s prime objective is the review of available information systems than can be used to support and assist security agencies.
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S.H.M. Fakhruddin. (2006). Community based cost effective early warning dissemination network (EWDN). In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 50–51). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Natural disasters are frequent in Bengladesh. Because Bengladesh has a fragile economy that is mostly dependent on agriculture, these events can be disastrous to the economy and people of the country. Adequate warnings to the community and institutions can mitigate the deleterious effects. This paper presents a model for an effective disaster warning and dissemination system (EWDN) that can provide timely and accurate alerts of natural disasters thus reducing loss of life, property and other risks.
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Flávio Horita, João Porto de Albuquerque, Victor Marchezini, & Eduardo M. Mendiondo,. (2016). A qualitative analysis of the early warning decision-making process in disaster management. 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: Early warning systems are an important means of improving the efficiency of disaster response and preparedness. However, in its analysis of the technological aspects of the infrastructure, the literature has failed to carry out an investigation of early warning process. This paper has sought to take a step toward understanding this issue by carrying out a qualitative analysis of the early warning process in disaster management. This has involved participatory observations and conducting interviews with practitioners from the National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN). The results have shown that this research area is a promising way of increasing efficiency and reducing the response time to warnings. This might be achieved by conducting a process analysis, which could provide evidence and information about bottlenecks or investigate the misuse of information systems or tasks by the players involved.
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Franclin Foping, & Ioannis M. Dokas. (2013). A saas-based early warning information fusion system for critical infrastructure safety. 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. 156–165). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Maintaining the critical infrastructures, such as Drinking Water Treatment Plants (DWTP), transportation, power generation and communications systems, in a safe state is a complex problem. The effective collaboration, as well as the collection aggregation and dissemination of early warning information among the stakeholders of the Safety Management System (SMS) responsible for the safety of these critical infrastructures are some of the challenges that need to be addressed. This paper argues that the Software as a Service (SaaS) deployment model can offer new ways of enhancing the fusion of early warning information during the operation phase of critical infrastructures. It presents the requirements, the architecture and a number of features of a working prototype SaaS-based early warning information fusion system for DWTP safety issues in the Republic of Ireland. It is the first time that a SaaSbased working prototype system is reported of providing early warning information fusion services in the literature.
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Stephen C. Fortier, & Ioannis M. Dokas. (2008). Setting the specification framework of an Early Warning System using IDEF0 and information modeling. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 441–450). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Our goal is to develop an Early Warning System for an engineering system with a special interest in applying this to a material recovery facility. This on-going research points out that there is no clear definition of what Early Warning Systems are. A literature search for Early Warning Systems identifies hundred of thousands hits (Buchanan-Smith, 1999; Davies, Buchanan-Smith, Lambert, 1991). Almost all of the references had to do with financial systems for third world countries, tracking the destructive nature of violent conflicts that led to human suffering, or systems for syndromic surveillance. The goal of our research, and of this paper, is to define a framework for creating a specification that can be considered as the basis for the development of any Early Warning System-specifically for engineering systems. Therefore, we will describe Early Warning Systems and its requirements and specifications. Based on specification patterns, we have developed an abstract model of an Early Warning System; and developed an IDEF0 model of a material recovery facility that provides the framework for specifying an Early Warning System. The Early Warning System is then specified using information modeling.
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Alicia Cabañas Ibañez, Dirk Schwanenberg, Luis Garrote De Marcos, Miguel Francés Mahamud, & Javier Arbaizar González. (2011). An example of Flood Forecasting and Decision-Support System for water management in Spain. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The paper provides an overview of past, present and future development in the program to implement a Flood Forecasting and Decision-Support System (DSS) for the SAIH network in some Spanish basins. These tools represent a significant advance by embedding the decision-making components for management of hydraulic infrastructure into the flood forecasting and flood early warning procedures. The DSS has been implemented based on an open-shell platform for integrating various data sources and different simulation models. So far, it covers the Segura, Jucar, Tajo, Duero and Miño-Sil basins, which represent 42% of Spanish territory. Special attention is paid to the decision-support for the operation of the 66 major reservoirs as a fundamental part of flood management.
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Syed Imran, Franclin Foping, Ioannis M. Dokas, & John Feehan. (2010). Towards domain specific modeling approach in early warning system. 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: It is of practical significance and great value to design and develop a novel Early Warning System (EWS), which will be used by the personnel of institutions involved in the drinking water delivery governance model of Ireland. In order to help the users of our EWS in representing and codifying their knowledge on the complex coincidences that may drive Water Treatment Plants (WTP) to failures or to hazardous states we propose in this paper a novel approach of using Domain Specific Modeling (DSM) in the domain of EWS for Water Treatment Plants. The novelty of our DSM approach also lies in providing a standalone open source software application rendering profiling of the water utilities, early warning signals, monitoring mechanisms of signals along with capability of assessing the “tendency” of a WTP towards failure, given a set of observed early warning signals.
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Jendreck, M., Hellriegel, J., Allmann, J., Restel, H., Pfennigschmidt, S., Meissen, U., et al. (2023). ROBUST communication platform – A decentralized, distributed communi cation platform for the earthquake early warning system ROBUST. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 822–836). Omaha, USA: University of Nebraska at Omaha.
Abstract: Strong earthquakes of great intensity pose a severe threat to human life and property. Earthquake early warning systems are designed to give people in endangered areas valuable seconds to save their lives and property. The basis of an efficient warning system is a communication infrastructure that provides high-speed and reliable communication between the components of the warning system. This paper presents the distributed, decentralized communication platform for the ROBUST project. It discusses the key challenges and requirements such as resilience, real-time capability and target group-specific information distribution that are placed on such a communication platform. In addition, it presents the conception of the communication platform, which is based on a subscriber procedure between autonomous, decentralized peers (nodes), in order to be able to realize the requirements. Finally, it details the technical implementation, practical realization, and evaluation of the communication platform.
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Murray E. Jennex. (2005). Informal early warning systems, the utility Y2K experience. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 287–289). Brussels: Royal Flemish Academy of Belgium.
Abstract: The 2004 tsunami has generated a call for a global early warning system. Political issues may prevent this from occurring soon or at all. This paper explores previous experience with informal early warning systems from the Year 2000, Y2K, rollover. Informal early warning systems, IEWS, are cooperative systems formed outside of direct government control, usually from nonprofit or industry organizations. The two discussed utility Y2K IEWS were formed through an industry group and within a single multinational corporation. The paper concludes with lessons learned from the design and implementation of these systems.
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Joao Moreira, Luis Ferreira Pires, & Marten Sinderen. (2019). SEMIoTICS: Semantic Model-Driven Development for IoT Interoperability of Emergency Services. 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: Modern early warning systems (EWSs) use Internet-of-Things (IoT) technologies to realize real-time data acquisition, risk detection and message brokering between data sources and warnings? destinations. Interoperability is crucial for effective EWSs, enabling the integration of components and the interworking with other EWSs. IoT technologies potentially improve the EWS efficiency and effectiveness, but this potential can only be exploited if interoperability challenges are properly addressed. The three main challenges for interoperability are: (1) achieving semantic integration of a variety of data sources and different representations; (2) supporting time- and safety-critical applications with performance and scalability; and (3) providing data analysis for effective responses with personalized information requirements. In this paper, we describe the ?SEmantic Model-driven development for IoT Interoperability of emergenCy serviceS? (SEMIoTICS) framework, which supports the development of semantic interoperable IoT EWSs. The framework has been validated with a pilot performed with accident use cases at the port of Valencia. The validation results show that it fulfils the requirements that we derived from the challenges above.
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Jürgen Moßgraber, Désirée Hilbring, Hylke van der Schaaf, Philipp Hertweck, Efstratios Kontopoulos, Panagiotis Mitzias, et al. (2018). The sensor to decision chain in crisis management. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 754–763). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. Decision Support Systems for disaster and crisis situations need to solve the problem of facilitating the broad variety of sensors available today. This includes the research domain of the Internet of Things and data coming from social media. All this data needs to be aggregated and fused, the semantics of the data needs to be understood and the results must be presented to the decision makers in an accessible way. Furthermore, the interaction and integration with risk and crisis management systems are necessary for a better analysis of the situation and faster reaction times. This paper provides an insight into the sensor to decision chain and proposes solutions and technologies for each step.
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Michael Klafft, & Ulrich Meissen. (2011). Assessing the economic value of early warning systems. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: As of today, investments into early warning systems are, to a large extent, politically motivated and “disaster-driven”. This means that investments tend to increase significantly if a disaster strikes, but are often quickly reduced in the following disaster-free years. Such investment patterns make the continuous operation, maintenance and development of the early warning infrastructure a challenging task and may lead to sub-optimal investment decisions. The paper presented here proposes an economic assessment model for the tangible economic impact of early warning systems. The model places a focus on the false alert problematic and goes beyond previous approaches by incorporating some socio-cultural factors (qualitatively estimated as of now). By doing so, it supports policymakers (but also private investors) in their investment decisions related to early warning applications.
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Matthias Lendholt, & Martin Hammitzsch. (2011). Generic information logistics for early warning systems. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The delivery of user-tailored warning messages for heterogeneous user groups is a challenge rarely covered by hazard monitoring and early warning systems. While attention is mostly focused on sensor measurements and disaster prediction, warning message dissemination is often based on technical terminology and is not appropriate for the majority of interested user groups. This article describes the concepts of generic information logistics developed for the distant early warning system (DEWS). It is designed to not be limited to specific hazard types, languages or other deployment specifics. Instead, it enables the generation of user-tailored warning messages that account for specific needs and it provides several filter mechanisms to avoid unintended message flooding in emergency situations. Moreover, the importance of spatial references in messages is highlighted and accounted for in both automatic message processing and message reception by humans. Warning messages are based on the common alerting protocol (CAP) to allow interoperability with other early warning systems.
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Matthias Lendholt, Martin Hammitzsch, & Miguel Angel Esbrí. (2012). Interlinking national tsunami early warning systems towards ocean-wide system-of-systems networks. 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: For the integration of national tsunami warning systems to large scale, ocean-wide warning infrastructures a specific protocol has been developed enabling system communication in a system-of-system environment. The proposed communication model incorporates requirements of UNESCO Intergovernmental Oceanic Commission tsunami programme to interlink national tsunami early warning systems. The model designed to be robust simple is based on existing interoperability standards. It uses the Common Alerting Protocol (CAP) for the exchange of official tsunami warning bulletins. Sensor measurements are communicated via markup languages of the Sensor Web Enablement (SWE) suite. Both communication products are embedded into an envelope carrying address information based on the Emergency Data Exchange Language Distribution Element (EDXL-DE). The research took place within the context of two European research projects. The reference implementation of the presented results was tested independently in deployments at two early warning centers. © 2012 ISCRAM.
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Marc van den Homberg, Lydia Cumiskey, Esther Oprins, Pablo Suarez, & Anja van der Hulst. (2015). Are you Ready! to take early action? Embedding serious gaming into community managed DRR in Bangladesh. 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: This paper applies a Game-based Learning Evaluation Model (GEM) to assess whether the early warning ? early action serious game ?Ready!? is an effective component to add to existing Disaster Risk Reduction (DRR) training curricula, facilitated by NGO staff and applied at the community level. We developed a paper-based survey with 17 five-level Likert items and 15 open questions addressing the different GEM indicators to question 16 NGO staff, and used a simplified set of five questions with emoticons for 58 community people. The results showed that the staff saw great potential in embedding Ready! in DRR processes and that the community highly appreciated the game. The GEM was found to be a useful methodology to evaluate the effectiveness of this serious game. However, in the context of a lower educated and partly illiterate community, the importance of designing an individual, largely visual assessment instrument instead of a paper-based survey was acknowledged.
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