Ana C. Calderon, Joanne Hinds, & Peter Johnson. (2014). IntCris: A tool for enhanced communication and collective decision-making during crises. 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. 205–214). University Park, PA: The Pennsylvania State University.
Abstract: Responding to a large-scale disaster such as an earthquake or hurricane is a collective problem. Human agents are increasingly collaborating with non-human agents (autonomous systems) in attempt to respond to a disaster. IntCris is a prototype intended to bring together interaction for human and non-human agents to aid the decision-making process by focusing on how to facilitate the “correct information to the correct agent” problem as well as encouraging new and agile behaviour. We focus on three categories of information: command, report and personal with a formal grammar to accompany the implementation. The requirements for the software were inspired by real life case studies from Hurricane Katrina, the Fukoshima Nuclear Disaster and Hurricane Sandy. The contribution of this work is to advance technology that brings together HAS (human and autonomous system interaction), in addition to enhancing collective intelligence.
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Hüseyin Can Ünen, Muhammed Sahin, & Amr S. Elnashai. (2011). Assessment of interdependent lifeline networks performance in earthquake disaster management. 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: Several studies and observations regarding past earthquakes such as 1989 Loma Prieta, 1994 Northridge, or 1999 Marmara earthquakes have shown the importance of lifeline systems functionality on response and recovery efforts. The general direction of studies on simulating lifelines seismic performance is towards achieving more accurate models to represent the system behavior. The methodology presented in this paper is a product of research conducted in the Mid-America Earthquake Center. Electric power, potable water, and natural gas networks are modeled as interacting systems where the state of one network is influenced by the state of another network. Interdependent network analysis methodology provides information on operational aspects of lifeline networks in post-seismic conditions in addition to structural damage assessment. These results are achieved by different components of the tool which are classified as structural and topological. The topological component analyzes the post seismic operability of the lifeline networks based on the damage assessment outcome of the structural model. Following an overview of the models, potential utilizations in different phases of disaster management are briefly discussed.
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José H. Canós-Cerdá, Carmen Penadés, Abel Gómez, & Marcos R. S. Borges. (2012). SAGA: An integrated architecture for the management of advanced emergency plans. 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: Despite the significant advances that software and hardware technologies have brought to the emergency management field, some islands remain where innovation has had little impact. Among them, emergency plan management is of particular relevance due to their key role in the direction of teams during responses. Aspects like coordination, collaboration, and others are spread in plain text sentences, impeding automatic tool support to improve team per-formance. Moreover, administrative management of plans becomes a mere document management activity. In this paper, we present SAGA, an architecture that supports the full lifecycle of advanced emergency plan management. By advanced we mean plans that include new types of interaction such as hypermedia and advanced process definition languages to provide precise specification of response procedures. SAGA provides all the actors involved in plan management a number of tools supporting all the stages of the plan lifecycle, from its creation to its use in training drills or actual responses. It is intended to be instantiated in systems promoted by civil defense agencies, providing administrative support to plan management; additionally, editing tools for plan designers and tools for analysis and improvement of such plans by organizations are provided. Plan enactment facilities in emergency response are also integrated. To our knowledge, it is the very first proposal that covers all the aspects of plan man-agement. © 2012 ISCRAM.
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Andrea Capata, Andrea Marrella, Ruggero Russo, Manfred Bortenschlager, & Harald Rieser. (2008). A geo-based application for the management of mobile actors during crisis situations. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 219–229). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The widespread availability of network-enabled handled devices has made the development of pervasive computing applications an emerging reality particularly suitable for managing emergency/disaster situations. Moreover in emergency management scenarios, Geographic Information Systems (GIS) are gaining momentum for their capacity to capture, analyze and manage geo-referenced data. In this paper we discuss an architecture designed to support rescue teams operating in outdoor environments and equipped with mobile devices working in a P2P fashion within a Mobile Ad-hoc Network (MANET). Our system has been designed to effectively address the on-field working persons' need for geographic information that cannot be supplied by conventional paper-based maps. Our approach provides a transparent access to geo-information and to GIS functionalities, and it addresses issues specifically relevant to emergency management scenarios in open fields.
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Cornelia Caragea, Anna Squicciarini, Sam Stehle, Kishore Neppalli, & Andrea H. Tapia. (2014). Mapping moods: Geo-mapped sentiment analysis during hurricane sandy. 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. 642–651). University Park, PA: The Pennsylvania State University.
Abstract: Sentiment analysis has been widely researched in the domain of online review sites with the aim of generating summarized opinions of product users about different aspects of the products. However, there has been little work focusing on identifying the polarity of sentiments expressed by users during disaster events. Identifying sentiments expressed by users in an online social networking site can help understand the dynamics of the network, e.g., the main users' concerns, panics, and the emotional impacts of interactions among members. Data produced through social networking sites is seen as ubiquitous, rapid and accessible, and it is believed to empower average citizens to become more situationally aware during disasters and coordinate to help themselves. In this work, we perform sentiment classification of user posts in Twitter during the Hurricane Sandy and visualize these sentiments on a geographical map centered around the hurricane. We show how users' sentiments change according not only to users' locations, but also based on the distance from the disaster.
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Mifan Careem, David Bitner, & Ravindra De Silva. (2007). GIS integration in the Sahana disaster management system. 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. 211–218). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Disaster Management often involves using Information and Communications Technology (ICT) to manage large amounts of data efficiently. Data gathered from disasters are often related to geographic locations, such as the affected geographic region, thus requiring special forms of data management software to utilize and manage them efficiently. Geographic Information Systems (GIS) are specialized database systems with software that can analyze and display data using digitized maps and tables for decision making. Preparing and correctly formatting data for use in a GIS is nontrivial, and it is even more challenging during disasters because of tight time constraints and inherent unpredictability of many natural disasters. This paper describes the important role of GIS in disaster management, and discusses the most common characteristics of GIS and their potential use in disaster response. We follow up with a detailed description of the GIS prototype in the Sahana Disaster Management System.
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Ian Carpenter. (2008). Implementing CAP and EDXL standards to enhance web-based crisis management. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (2). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In response to the Australian Federal Government's legislative changes, including the Disaster Management Act 2003, both State and Local Government are finding it necessary to work ever more closely to ensure the successful development, approval and operation of local disaster management plans and activities. Working closely with numerous Local governments and their stakeholders, Faulkner Technologies has developed a web-based information management exchange to facilitate the timely and accurate collation, dissemination and sharing of event-related information during an incident or disaster. Challenges such as geographically-dispersed operations, information management, communication management, reporting and logging and capturing key learnings are common to all local councils. Our web-based information management exchange dovetails with both the paper-based Standard Operating Procedure and multiple communication systems significantly enhancing the management of disasters and incidents. In conjunction with NICTA (National ICT Australia) and their Smart Applications for Emergencies (SAFE) project, the solution uses the Common Alerting Protocol (CAP) and Emergency Data eXchange Language (EDXL) standards for message distribution.
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Emma Carter, & Simon French. (2005). Nuclear emergency management in Europe: A review of approaches to decision making. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 247–259). Brussels: Royal Flemish Academy of Belgium.
Abstract: The need for transparent and consistent decision making in nuclear emergency management across local, regional, national and international levels is well recognised. Several decision support systems have been developed to help achieve this; but, by and large, with little consultation with potential DMs and with limited understanding of the emergency management procedures across Europe and how they differ. This work, part of a European Fifth Framework project EVATECH, considers the application of process modelling to document and compare the emergency management process in four countries. We have observed that the four process models are substantially different in their organizational structure and identified differences in where decisions are made, the management of advice and the communication network style. This papers focus is on the results of the comparison and the implications for the design and use of decision support systems.
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José Miguel Castillo, Starr Roxanne Hiltz, & Murray Turoff. (2012). Monte Carlo and decision making support in crisis 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: Simulation is an interdisciplinary science applicable to many branches of knowledge. One field in which simulation is relevant is decision making support (DMS), in which we use computers to run models of real or possible scenarios in order to evaluate alternative actions before carrying them out. We will obtain a useful simulation system only when the model (engine of the simulation process) has been made accurately to represent reality. Thus it is necessary to use a methodology that helps us to construct a simulation system. This paper presents some classifications of simulation systems and an introduction to the Monte Carlo method, with the objective of creating a framework of application of this method for the construction of simulation systems for decision making support in crisis management. One area of applicability is scenario-based simulations for training for cross-national teams to cooperate in large scale disasters. The final aim of this research will be the recommendation of standards and methodologies to build simulation systems in crisis management, specifically in decision making support. © 2012 ISCRAM.
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Tiziana Catarci, Massimiliano De Leoni, Andrea Marrella, Massimo Mecella, Manfred Bortenschlager, & Renate Steinmann. (2010). The WORKPAD project experience: Improving the disaster response through process management and geo collaboration. 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: In complex emergency/disaster scenarios teams from various emergency-response organizations collaborate with each other to achieve a common goal. In these scenarios the use of smart mobile devices and applications can improve the collaboration dynamically. The lack of basic interaction principles can be dangerous as it could increase the level of disaster or can make the efforts ineffective. The paper focuses on the description of the main results of the project WORKPAD finished in December 2009. WORKPAD worked on a two-level architecture to support rescue operators during emergency management. The use of a user-centered design methodology during the entire development cycle has guaranteed that the architecture and the resulting system meet the end-user requirements. The feasibility of its use in real emergencies is also proven by a demonstration showcased in July with real operators. The paper includes the qualitative and quantitative showcase results and mentions some guidelines which can be useful for persons who want to develop emergency-management systems.
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Catherine Easton, & Monika Büscher. (2015). The role of the privacy impact assessment in IT Innovation in Crises: An Example. 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: Privacy Impact Assessments (PIA) are increasingly used and, in certain jurisdictions, legally mandated in projects to foresee risks to privacy and to plan strategies to avoid these. Once adopted and implemented, the EU?s Data Protection Regulation will, in certain circumstances require the need for a PIA. This short paper focuses upon the PIA process in an EU-funded project to develop cloud-based disaster response technology. It introduces the project and then gives a background to the PIA process. Insights and observations are then made on how the PIA operates, with the aim of drawing conclusions that can both improve the current project and be transferable to others.
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Josey Chacko, Loren P Rees, & Christopher W. Zobel. (2014). Improving resource allocation for disaster operations management in a multi-hazard context. 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. 85–89). University Park, PA: The Pennsylvania State University.
Abstract: The initial impact of a disaster can lead to a variety of associated hazards. By taking a multi-hazard viewpoint with respect to disaster response and recovery, there is an opportunity to allocate limited resources more effectively, particularly in the context of long-term planning for community sustainability. This working paper introduces an approach for extending quantitative resource allocation models to consider multiple interrelated hazards. The discussion is motivated by a literature review of existing models and then focuses on changes necessary to take the multiplicity of hazards into consideration in the context of decision support systems for disaster operations management.
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Seyed Hossein Chavoshi, Mahmoud Reza Delavar, Mahdieh Soleimani, & Motahareh Chavoshi. (2008). Toward developing an expert GIS for damage evaluation after an earthquake (case study: Tehran). In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 734–741). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In an earthquake disaster, having proper estimation about destructed buildings and the degree of destruction, can considerably facilitate decision-making and planning for disaster managers. Using this information, the managers can estimate disaster area and number of victims to determine and allocate required resources. Scientific studies and historical data show that the faults around Tehran, the capital of Iran, are capable to create strong earthquakes which would bring the largest damages in the world history to the city. So it is necessary to be prepared for a rapid and knowledge-based response to such an earthquake. Therefore, development of a knowledge-based model to estimate destruction of buildings is ongoing. The model is going to be developed by using different spatial data obtained from the buildings and its environment in Tehran. This paper outlines the initial results of this research.
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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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Rui Chen, Thirumurugan Thiyagarajan, Raghav H. Rao, & JinKyu LeeK. (2010). Design of a FOSS system for flood disaster management. 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: In this paper we study how information technology solutions can be used when disasters strike. This research in progress focuses on flood disasters and it proposes the design for flood disaster management. To increase the utility of the disaster management information system, we follow the free and open source system (FOSS) concept. Informed by the management tasks of flood response, we elaborate the system requirements and key functionalities. The system has received preliminary evaluation by the domain experts and is currently under further development.
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Michael J. Chumer, & Murray Turoff. (2006). Command and control (C2): Adapting the distributed military model for emergency response and emergency 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. 465–476). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The military use of Command and Control (C2) has been refined over centuries of use and developed through years of combat situations. This C2 model is framed as process, function, and organization, suggesting that emergency response organizations and emergency management structure their non military C2 and subsequent response scenarios within the C2 framework established in this paper.
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Marline Claessens, Nicolas Lewyckyj, Jane Biesemans, & Jurgen Everaerts. (2005). Pegasus, a UAV project for disaster management. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 233–236). Brussels: Royal Flemish Academy of Belgium.
Abstract: The Flemish Institute for Technological Research (Vito) in Belgium has initiated in 2000 the PEGASUS (Policy support for European Governments by Acquisition of information from Satellite and UAV-borne Sensors) project which envisages the development of a solar powered UAV (Unmanned Aerial Vehicle) containing several types of instruments for remote sensing and flying at an altitude of about 20 km. The aircraft can be deployed rapidly in crisis situations and provide disaster managers with ~1 m resolution images (or better if required) of the affected area. High quality data shall be received in less than half an hour from a mobile ground station that is in direct contact with the UAV, which can operate as long as requested by the user. The PEGASUS HALE-UAV is a flexible and cost-effective tool that will allow officials and local authorities to dispose quickly over relevant geographical information in an emergency situation. The first demonstration flight of the PEGASUS HALE-UAV shall take place in the summer of 2005 over Flanders.
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Tina Comes, Frank Schätter, & Frank Schultmann. (2013). Building robust supply networks for effective and efficient disaster response. 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. 230–240). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The effective and efficient distribution of relief goods is a key challenge in disaster management. Typically, adhoc supply networks (SNs) need to be built, in which various actors with different interests collaborate. Although information is sparse and highly uncertain, time for SN design is short, and important strategic decisions (e.g., location of facilities), whose revision requires investing substantial time, effort and resources, must be made promptly. This paper presents an iterative approach for the design of robust SNs that combines (i) an optimisation model to identify promising alternatives to be analysed in detail, (ii) a scenario-based approach to analyse the weaknesses of these alternatives and generate alternative solutions for comparison and benchmarking, and (iii) a decision support module for detailed comparisons and consensus building. By following the iterative approach, successively robust SNs are created to enable effective and efficient disaster response. We illustrate our approach by an example from the Haiti 2010 earthquake.
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Tina Comes, & Bartel A. Van De Walle. (2014). Measuring disaster resilience: The impact of hurricane sandy on critical infrastructure systems. 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. 195–204). University Park, PA: The Pennsylvania State University.
Abstract: Modern critical infrastructure (CI) systems are tightly coupled, resulting in unprecedented complexity and difficulty to predict, limit and control the consequences of disruptions caused by hazards. Therefore, a paradigm shift in disaster risk management is needed: instead of focusing on predicting events, resilience needs to be improved as a basis for adequate response to any event. This paper starts from a definition of CI resilience that provides a basis for quantitative and qualitative decision support. For the quantitative modelling approach, which aims at measuring the resilience of individual CIs, we focus on two CIs of fundamental importance for disaster response: transportation and power supply. The qualitative framework details relations between CIs. The results of this research are illustrated by a case study that analyses the impact of Hurricane Sandy. The findings highlight the need for a framework that combines qualitative and quantitative information from heterogeneous sources to improve disaster resilience.
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Tina Comes, Claudine Conrado, Michael Hiete, Michiel Kamermans, Gregor Pavlin, & Niek Wijngaards. (2010). An intelligent decision support system for decision making under uncertainty in distributed reasoning frameworks. 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: This paper presents an intelligent system facilitating better-informed decision making under severe uncertainty as found in emergency management. The construction of decision-relevant scenarios, being coherent and plausible descriptions of a situation and its future development, is used as a rationale for collecting, organizing, filtering and processing information for decision making. The development of scenarios is geared to assessing decision alternatives, thus avoiding time-consuming analysis and processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios, which was constructed using the best expertise available within a limited timeframe. Our theoretical framework is demonstrated in a distributed decision support system by orchestrating both automated systems and human experts into workflows tailored to each specific problem.
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Tina Comes, Niek Wijngaards, & Frank Schultmann. (2012). Efficient scenario updating in emergency 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: Emergency managers need to assess, combine and process large volumes of information with varying degrees of (un)certainty. To keep track of the uncertainties and to facilitate gaining an understanding of the situation, the information is combined into scenarios: stories about the situation and its development. As the situation evolves, typically more information becomes available and already acknowledged information is changed or revised. Meanwhile, decision-makers need to keep track of the scenarios including an assessment whether the infor-mation constituting the scenario is still valid and relevant for their purposes. Standard techniques to support sce-nario updating usually involve complete scenario re-construction. This is far too time-consuming in emergency management. Our approach uses a graph theoretical scenario formalisation to enable efficient scenario updating. MCDA techniques are employed to decide whether information changes are sufficiently important to warrant scenario updating. A brief analysis of the use-case demonstrates a large gain in efficiency. © 2012 ISCRAM.
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Louise K. Comfort, Brian A. Chalfant, Jee Eun Song, Mengyao Chen, & Brian Colella. (2014). Managing information processes in disaster events: The impact of superstorm sandy on business organizations. 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. 230–239). University Park, PA: The Pennsylvania State University.
Abstract: Building community resilience to natural disasters represents a major policy priority for the United States as hazards impact vulnerable urban regions with increasing frequency and severity. Applying network analysis techniques, we examine the dynamics of emergency response to Superstorm Sandy, which struck the United States east coast in late October 2012 and caused over $72 billion in damages. Drawing on a variety of data sources and analytical techniques, we document the storm's impact on a system of interacting private, public, and nonprofit organizations. We find that the storm's response network exhibited clear patterns of information gaps and flows among different types of organizations. Our findings suggest a general lack of communication between government agencies and businesses, an area of potential improvement in future regional-scale emergency response systems.
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Diana Contreras, Thomas Blaschke, Stefan Kienberger, & Peter Zeil. (2011). Spatial vulnerability indicators: Measuring recovery processes after earthquakes. 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: In order to analyze and evaluate any post-disaster phases it is necessary to address the pre-existent vulnerability conditions. The methodology consists of four steps: the first step comprises of a review of vulnerability and recovery indicators; the second step is to identify indicators based on spatial variables; the third step is to find the common variables among the subsets of spatial variables from vulnerability and recovery indicators; and the fourth step more pragmatic, is an investigation of the availability of data. The initial results are the set of vulnerability and recovery indicators. Reducing the set of indicators to the indicators represented in a spatial context and the indicators with common features of vulnerability and recovery indices bears the risk to ignore some important single indicators; nevertheless, the added value of the on-going research is to show the advantages of using indicators based on spatial variables.
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Erman Coskun, & Dilek Ozceylan. (2011). Complexity in emergency management and disaster response information systems (EMDRIS). 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: Today emergencies seem more complex than ever. Process of managing these emergencies also becomes more complex because of increasing number of involved parties, increasing number of people affected, and increasing amount of resources. This complexity, inherent in emergency management, brings lots of challenges to decision makers and emergency responders. Information systems and technologies are utilized in different areas of emergency management. However complexity increases exponentially in emergency situations and it requires more sophisticated IS and IT and it makes response and management more challenging. Thus analyzing the root causes of emergency management information systems complexity is crucial for improving emergency response effectiveness. This paper frames the issue of information systems complexity by focusing on the types of complexities involved in emergency management phases and explaining each complexity type. We propose 6 different complexity types: Human Complexity, Technologic Complexity, Event Complexity, Interaction Complexity, Decision Making Complexity, and Cultural Complexity.
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Martine Couturier, & Edith Wilkinson. (2005). Open advanced system for improved crisis management (OASIS). In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 283–286). Brussels: Royal Flemish Academy of Belgium.
Abstract: The OASIS Project addresses the Strategic objective 2.3.2.9, “Improving Risk Management”, of the second call for tender of the European Commission FP6 Information Society Technologies program. The objective of OASIS is to define and develop an Information Technology (IT) framework based on an open and flexible architecture and using standards that will be the basis of a European Emergency Management system. OASIS is intended to facilitate the cooperation between the information systems used by civil protection organisations, in a local, regional, national or international environment. This Disaster and Emergency Management system aims to support the response operations in the case of large scale as well as local emergencies.
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