Alexander F. Blecken, & Bernd Hellingrath. (2008). Supply Chain Management software for humanitarian operations: Review and assessment of current tools. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 342–351). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Humanitarian operations in response to sudden and slow-onset crises have increased considerably both in terms of size and complexity over the last decade. This requires a coordinated approach by all actors involved in disaster or humanitarian relief efforts. Since the logistics part of disaster relief spending is accountable for a major part of disaster relief spending, it is natural to look at the supply chains of humanitarian organizations when searching for potentials for cooperation during humanitarian operations. In this paper, we have reviewed Supply Chain Management software currently used or piloted in humanitarian organizations. Their main features are presented and the tools are assessed according to criteria specific to supply chain management requirements of humanitarian operations. We find that while there is one tool which has the potential of becoming a de-facto standard, there are still gaps to be filled.
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Tao Bo, & Bartel A. Van De Walle. (2013). Meeting the sphere standards: An analysis of earthquake response in China. 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. 517–525). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: As a country which frequently suffers from natural disasters, especially earthquakes, China has implemented its own disaster management system to respond to them. The Chinese government gained practical experiences on how to respond to severe earthquakes after the 2008 Wenchuan Earthquake and 2010 Yushu Earthquake. Although China has done a lot to improve its response operations, challenges remain. This paper analyses what these challenges are by using the Sphere Standard as a benchmark to measure the Chinese response operations. The Sphere project was launched in 1997 by Non-Government Organizations (NGOs), the International Federation of Red Cross and Red Crescent Societies. It framed a Humanitarian Charter and established the Minimum Standards for response which emphasize meeting the urgent survival needs of people in the affected regions, while asserting their basic human right to a life with dignity. Based on this analysis, suggestions are provided to improve China's earthquake response operations.
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Kees Boersma, Julie Ferguson, Peter Groenewegen, & Jeroen Wolbers. (2014). Beyond the myth of control: Toward network switching in disaster management. 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. 125–129). University Park, PA: The Pennsylvania State University.
Abstract: A novel, 'net-centric' approach to disaster management is challenging traditional forms of command and control, through technology-supported, self-directed networks of heterogeneous stakeholders including affected citizens. Citizen involvement in crisis response can strengthen the resilience of local communities, and improve the relevance and delivery of response, evidenced by increasingly important Web2.0-based platforms. While netcentric responses show promise as a principle, it remains unclear how networks can be integrated in shared response infrastructures. We draw on the concepts of 'programming' and 'switching' to suggest a different perspective by which to explore the potential and consequences of interconnected networks. Finally, we propose a research agenda that can help identify and understand switching points in disaster response, comparing a weakly formalized management structure, but strong in citizen involvement, with a strongly formalized management structure, but weak in citizen involvement. We thereby suggest how response organizations can relinquish their reliance on control and command approaches, increasing their adaptive capacity to capitalize on citizen-based information.
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Borglund, E., A.M., & Hansson, J. (2023). Active shooter events, a challenge. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 1051–1058). Omaha, USA: University of Nebraska at Omaha.
Abstract: An active shooter event is one of the most complicated situations a police officer could face. Today the standard procedure for an active shooter event is to enter the scene and try to prevent casualties. This involves taking great risks and puts the police officers in a situation they have not been trained for. This is a work in progress paper where the long-term goal is to develop modern technology that could increase the chance of saving lives and decrease the risk of being injured or killed during an active shooter event. Six active shooter event exercises taking place in Sweden have been studied using an ethnographic field study approach. Four themes have been identified where we argue that technology could enhance the police mission: A) Situational awareness; B) Decision making/prioritization; C) Localization of both sound and people; D) Decreasing time of intervention.
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Raffaele Bruno, Marco Conti, & Andrea Passarella. (2008). Opportunistic networking overlays for ICT services in 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 (pp. 689–701). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: ICT infrastructures are a critical asset in today's Information society. Legacy telecommunication systems easily collapse in the face of disruptions due to security incidents or natural disasters. Hence, there is an urgent demand for new architectures and technologies ensuring a more efficient and dependable support for various security missions, such as disaster relief initiatives, first responder operations, critical infrastructure protection, etc. In this paper we advocate the opportunistic networking paradigm to build a self-organizing overlay ICT infrastructure for supporting dependable crisis management services. Our opportunistic framework to “glues together” surviving parts of the pre-existing infrastructure with networks deployed on-demand and users devices, and supports dependable distribution of coherent, updated, and non-contradictory information distribution. Finally, to show the potential advantages of our solution, we present initial results on the performance of different types of opportunistic infrastructures, by particularly highlighting the gains of context-aware systems.
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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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Cornelia Caragea, Nathan McNeese, Anuj Jaiswal, Greg Traylor, Hyun-Woo Kim, Prasenjit Mitra, et al. (2011). Classifying text messages for the haiti earthquake. 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 case of emergencies (e.g., earthquakes, flooding), rapid responses are needed in order to address victims' requests for help. Social media used around crises involves self-organizing behavior that can produce accurate results, often in advance of official communications. This allows affected population to send tweets or text messages, and hence, make them heard. The ability to classify tweets and text messages automatically, together with the ability to deliver the relevant information to the appropriate personnel are essential for enabling the personnel to timely and efficiently work to address the most urgent needs, and to understand the emergency situation better. In this study, we developed a reusable information technology infrastructure, called Enhanced Messaging for the Emergency Response Sector (EMERSE), which classifies and aggregates tweets and text messages about the Haiti disaster relief so that non-governmental organizations, relief workers, people in Haiti, and their friends and families can easily access them.
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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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José Miguel Castillo. (2011). An agent-based approach to envision the future. 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 need to envision the future is not new; it has existed since the beginning of human-kind. What it is new is the applicable technology that is available in a specific period of time. It is vital to research in the field of methods, techniques and tools that allow us to foresee the future. Although this problem is common to any area, an urgent solution is required to those with critical social repercussions. It is not usual to find a critical social system which evolves according to predictable guidelines or tendencies. This paper presents a solution to model the opinions of an experts group with the aim of predicting possible future scenarios. This paper includes the description of a specific process to elaborate the information elicited from the experts by using fuzzy logic and the development of multi-agent systems (MAS) to automate the creation of such scenarios.
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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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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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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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Elia Chepaitis. (2004). The impact of Y2K on crisis management: Widening the stakeholder circle for crisis prevention and response. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 111–113). Brussels: Royal Flemish Academy of Belgium.
Abstract: Although Y2K was neither an accident nor an unanticipated challenge, the millennium debugging represented a watershed event for crisis response and management, and the range of effects remains relevant in 2004. Not only information systems professionals, but also leaders and professionals in every application area saw computer systems as subsystems of their areas of responsibility and accountability. The acknowledged dependence of government, healthcare, utilities, transportation, services, and communications on reliable information systems widened the circle of stakeholders for crisis prevention, response, and management. Emergency preparedness and broad systems approaches to disaster and contingency planning were enhanced by the ubiquitous multi-year Y2K effort. The author emphasizes the investments, learning, leadership, and commitment in information systems control that occurred as part of the prevention stage of crisis management as a result of Y2K. The simultaneity, high stakes, and ubiquity of the millennium crisis permanently altered the circle of players with vested interests in and responsibility for information systems control. From government agencies to households, users realized that the scope of information systems design and reliability must extend beyond computer engineers and information systems professionals to ensure the general good. © Proceedings ISCRAM 2004.
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Soudip Roy Chowdhury, Muhammad Imran, Muhammad Rizwan Asghar, Amer-Yahia, S., & Carlos Castillo. (2013). Tweet4act: Using incident-specific profiles for classifying crisis-related messages. 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. 834–839). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: We present Tweet4act, a system to detect and classify crisis-related messages communicated over a microblogging platform. Our system relies on extracting content features from each message. These features and the use of an incident-specific dictionary allow us to determine the period type of an incident that each message belongs to. The period types are: Pre-incident (messages talking about prevention, mitigation, and preparedness), during-incident (messages sent while the incident is taking place), and post-incident (messages related to the response, recovery, and reconstruction). We show that our detection method can effectively identify incident-related messages with high precision and recall, and that our incident-period classification method outperforms standard machine learning classification methods.
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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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Timothy Clark, & Rich Curran. (2013). Geospatial site suitability modeling for US department of defense humanitarian assistance projects. 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. 463–467). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The purpose of this paper is to outline the requirement for data-driven methods for determining optimal geographic locations of United States Department of Defense (DOD) Humanitarian Assistance (HA) resources, including disaster mitigation and preparedness projects. HA project managers and tactical implementers charged with cost-efficient deployment of HA resources are challenged to produce measurable effects, in addition to contributing to broader Joint and Interagency-informed security assistance strategies. To address these issues, our ongoing research advocates geospatial multi-criteria site suitability decision support capabilities that leverage 1) existing geospatial resource location-allocation methodology as applied in government, retail, and commercial sectors; 2) user-generated criteria and objective preferences applied in widely-used decision frameworks; 3) assessments of the feasibility of obtaining data at a geographic scale where DOD tactical/operational level users can benefit from the model outputs; and 4) social science theory related to the HA domain criteria that form the foundation of potential decision models.
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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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Sherri L. Condon, & Jason R. Robinson. (2014). Communication media use in emergency response management. 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. 687–696). University Park, PA: The Pennsylvania State University.
Abstract: The communications of emergency response managers were tracked during simulated catastrophic events at a university campus in the Washington, D.C. region. Local, state, and federal response managers interacted with each other and with students using a variety of communication media in order to investigate the utility of new communication channels for emergency response management. Students and emergency managers interacted using a Twitter-like platform and a portal built with Ushahidi crowd-sourcing software. The emergency managers also used a chat interface that included private instant messaging, telephone, and the county's existing emergency web portal. Their media use was analyzed along with the functions of their communications, and the patterns that emerged are described and quantified.
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Cornelia Caragea, Adrian Silvescu, & Andrea Tapia. (2016). Identifying Informative Messages in Disasters using Convolutional Neural Networks. 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: Social media is a vital source of information during any major event, especially natural disasters. 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. However, with the exponential increase in the volume of social media data, so comes the increase in data that are irrelevant to a disaster, thus, diminishing peoples? ability to find the information that they need in order to organize relief efforts, find help, and potentially save lives. In this paper, we present an approach to identifying informative messages in social media streams during disaster events. Our approach is based on Convolutional Neural Networks and shows significant improvement in performance over models that use the ?bag of words? and n-grams as features on several datasets of messages from flooding events.
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Dario Salza, Edoardo Arnaudo, Giacomo Blanco, & Claudio Rossi. (2022). A 'Glocal' Approach for Real-time Emergency Event Detection in Twitter. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 570–583). Tarbes, France.
Abstract: Social media like Twitter offer not only an unprecedented amount of user-generated content covering developing emergencies but also act as a collector of news produced by heterogeneous sources, including big and small media companies as well as public authorities. However, this volume, velocity, and variety of data constitute the main value and, at the same time, the key challenge to implement and automatic detection and tracking of independent emergency events from the real-time stream of tweets. Leveraging online clustering and considering both textual and geographical features, we propose, implement, and evaluate an algorithm to automatically detect emergency events applying a ‘glocal’ approach, i.e., offering a global coverage while detecting events at local (municipality level) scale.
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Dashley Rouwendal van Schijndel, Audun Stolpe, & Jo Erskine Hannay. (2021). Toward an AI-based external scenario event controller for crisis response simulations. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 106–117). Blacksburg, VA (USA): Virginia Tech.
Abstract: There is a need for tool support for structured planning, execution and analysis of simulation-based training for crisisresponse and management. As a central component of an architecture for such tool support, we outline the design ofan AI-based scenario event controller. The event controller is a component that uses machine reasoning to computethe next state in a scenario, given the actions performed in the corresponding simulation (execution of the scenario).Scenarios are specified in Answer Set Programming, which is a logic programming language we use for automatedplanning of training scenarios. A plan encoding in ASP adds expressivity in scenario specification and enablesmachine reasoning. For exercise managers this gives AI-based tool support for before-action and during-actionreviews to optimize learning. In line with Modelling and Simulation as as Service, our approach externalizes eventcontrol from any particular simulation platform. The scenario, and its unfolding in terms of events, is externalizedas a service. This increases interoperability and enables scenarios to be designed and modified readily and rapidlyto adapt to new training requirements.
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Shideh Dashti, Leysia Palen, Mehdi P. Heris, Kenneth M. Anderson, T. Jennings Anderson, & Scott Anderson. (2014). Supporting disaster reconnaissance with social media data: A design-oriented case study of the 2013 Colorado floods. 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. 632–641). University Park, PA: The Pennsylvania State University.
Abstract: Engineering reconnaissance following an extreme event is critical in identifying the causes of infrastructure failure and minimizing such consequences in similar future events. Typically, however, much of the data about infrastructure performance and the progression of geological phenomena are lost during the event or soon after as efforts move to the recovery phase. A better methodology for reliable and rapid collection of perishable hazards data will enhance scientific inquiry and accelerate the building of disaster-resilient cities. In this paper, we explore ways to support post-event reconnaissance through the strategic collection and reuse of social media data and other remote sources of information, in response to the September 2013 flooding in Colorado. We show how tweets, particularly with postings of visual data and references to location, may be used to directly support geotechnical experts by helping to digitally survey the affected region and to navigate optimal paths through the physical space in preparation for direct observation.
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Trishan R. De Lanerolle, William V. Anderson, Sam DeFabbia-Kane, Eli Fox-Epstein, Dimitar Gochev, & Ralph A. Morelli. (2010). Development of a virtual dashboard for event coordination between multiple groups. 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: Collabbit is an open source web-based application that aims to increase emergency management efficiency through distributed asynchronous information sharing. The software is targeted to loosely coupled non-profit disaster relief agencies that coordinate response to and recovery from disasters. Disaster relief agencies create a common operating picture of an emergency incident through remotely posted incident updates. Individual users subscribe to topics of interest and receive near-instantaneous updates on those topics. Where information is lacking, users may access a topically organized contact registry. This report describes the development and deployment of the Collabbit project.
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