Ishigaki Yang, Matsuno Yutaka, Bando Koichi, & Tanaka Kenji. (2016). A Prototype Development of Assurance Cases Tool and Experiments on SNS Discussion of Radiation Disaster. 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: This poster will discuss how to make consensus building on disaster management including citizens and professionals. For ordinary citizens, it is difficult to understand scientific information such as about radiation disaster. This poster reports our progress of developing a prototype SNS tool for facilitating citizens to understand such scientific information. The prototype system is based on the notion of assurance cases, which have been recently widely used for system assurance in safety and security critical systems.
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Jane Ciambele S. da Silva, Alyson Matheus C. Souza, Ademir Bezerra Silva Júnior, Ricardo Matos de Carvalho, Pitágoras José Bindé, Liam Bannon, et al. (2016). A community ergonomics framework for the development of early warning systems. 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: The heavy rains that hit Natal city, Brazil, on June 14th, 2014, during the 2014 FIFA World Cup, caused an intense landslide in Mãe Luíza neighborhood, that resulted in a huge crater, affecting the life of 187 families, and 26 of them had their homes completely destroyed. It made explicit the weakness and unpreparedness of government and nongovernmental organizations and community to deal with crisis management. This paper highlights the relevance of a situated and participatory design framework for the development of an ICT solution for an early warning system for disaster situations to be used by members of communities and agents through low cost mobile devices. Community Ergonomics method was used to understand the community demands, to model the current early warning system, and finally to propose a new framework to develop and test a new early warning app for disaster risk and orientation during evacuation. It is expected that it will actually help to improve the global resilience of the city in face of the risks and disasters.
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Janzen, S., Baer, S., Ahiagble, A. P., & Maass, W. (2023). Tackling Non-transparency – Identification of Hidden Problems in Component-Based Supply Chains. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (p. 1075). Omaha, USA: University of Nebraska at Omaha.
Abstract: Component-based supply chains, e.g., in sensor industry, can be very complex and non-transparent, with multiple tiers of suppliers involved. This leads to hidden problems (e.g., component shortages) that propagate and reinforce in supply chains before popping up as crisis situation at tier-1 with significant consequences as production delays. To tackle non-transparency in supply chains, it is crucial to detect and localize those hidden problems for supporting users in conducting pro-active measures (e.g., search of missing parts at spot-market) and creating more resilient supply chains. With the Hidden Problem Detector, we present a prototype (Flask, Python, Neo4j, Octopart), that uses multiple graph-theoretic centrality measures for determining critical components in the supply chain. Bill-of-Materials data are automatically transformed into a knowledge graph, semantically enriched, and fed with historical and actual market data (e.g., prices). Within the demonstration, we show the detection of hidden problems in the supply chain of a sensor manufacturer.
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Yasir Javed, Tony Norris, & David Johnston. (2010). Design approach to an emergency decision support system for mass evacuation. 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 is directed primarily to investigating the information needs of emergency managers following recognition of a risk of volcanic eruption. These needs include type of information required during the collection, integration, synthesis, presentation, and sharing of information. This will identify and model the processes underpinning the design of an emergency decision support system (EDSS). Exploration of the information needs, flows, and processes involved in emergency decision making can improve the design of EDSS both in terms of their content and the all-important human-system interfaces that determine their usability.The information attributes and flows then lead to the development of a prototype system that can be evaluated to test and refine the concepts.
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Josiane Rodrigues Eugênio, Lutiane Queiroz de Almeida, & Vinnícius Vale Dionízio França. (2016). Disaster risk indicators in Brazil: a case study in Rio Grande do Norte State. 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: The following paper provides a tool to help evaluate, visualize and communicate different levels of exposure, vulnerability and risk at a regional level in BrazilKeywords. The indices show that social vulnerability is a determining factor for high disaster risk values.
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Ali Khalili-Araghi, Uwe Glässer, Hamed Yaghoubi Shahir, Brian Fisher, & Piper Jackson. (2012). Intelligent decision support for emergency responses. 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: With a coastline touching upon the Pacific and Atlantic Oceans, the Great Lakes and the Arctic Sea, the Canadian MSOCs are faced with a daunting task. They are responsible for both routine duties, including patrolling coastal areas and collecting satellite data, as well as critical missions, such as emergency response and crime intervention. Both kinds of mission require the fusion of data from a variety of sources and the orchestration of myriad heterogeneous resources over great physical distances. They must deal with uncertainty, both in terms of what can be known and also in the outcomes of actions, and must interact with an environment prone to dynamic change. We present the architecture and core mechanisms of a decision support system for marine safety and security operations (Glässer, Jackson, Araghi, When and Shahir, 2010). The goal of this system is to enhance complex command and control tasks by improving situational awareness and automating task assignments. This system concept includes adaptive information fusion techniques integrated with decentralized control mechanisms for dynamic resource configuration management and task execution management under uncertainty. Autonomously operating agents employ collaboration and coordination to collectively form an intelligent decision support system. © 2012 ISCRAM.
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Lauren C. Landrigan, Allen Milewski, & Jason Baker. (2010). Determining credible sources during an emergency situation. 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: An important aspect of working in an emergency operations center (EOC) is determining what information is credible and what actions to take based on that information. Information during an emergency may come from various sources and EOC workers may not know the information providers personally. Information may come from electronic sources where the exact source of the information may be unknown and credibility may be affected. For this study, we conducted ethnographic interviews with emergency management subject matter experts to gain insights on credibility. The interviews included a series of questions to learn about the current processes of an EOC, what sources generally provide information about the situation and what factors determine credibility. These interviews are ongoing and this paper provides a summary of the interviews completed at this point. The expected outcome of this study is a potential software system with features to enhance credibility despite weak source information.
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P. Lin, & S.M. Lo. (2005). The application of quickest flow problem in urban evacuation planning. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 129–130). Brussels: Royal Flemish Academy of Belgium.
Abstract: The provision of evacuation plan for people living in populated urban area is necessary to reduce the possible casualties under disasters. Time-varying quickest flow problem (TVQFP), which can simultaneously optimize the evacuation schedule, evacuation locations and evacuation routes, is adopted to optimize the evacuation planning of a city to minimize the clearance time of residents in danger. The integration of optimization model with GIS environment enables emergency managers to easily identify possible bottlenecks and to observe evacuation patterns in vivid pictures for further analysis and evaluation.
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Lizheng Deng, Hongyong Yuan, & Lida Huang. (2018). Optimal UAV 3D Path Planning in Mountainous Environments for Post-Earthquake Multi-region Search. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (p. 1122). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: During the earthquake rescue, rapidly locating the trapped person is a critical issue to reduce casualties. Compared with the ground search after the earthquake, the unmanned aerial vehicle (UAV) life detection is not only more expeditious but also safer. For shortening the mission completion time of UAV, we propose the coupling method of Dijkstra's algorithm and simulated annealing (SA) algorithm to optimize the search path. Concisely, the mathematical model is further abstracted as the Traveling Salesman Problem (TSP) and the shortest loop can be obtained by SA algorithm. The real geo-environment of Jiuzhaigou and the actual large-scale rescue scenarios are taken into consideration. Setting six key search areas as our life detection objects, the UAV 3D path simulation is conducted with MATLAB, which achieves the obstacle avoidance. Our UAV path planning method can significantly speed up the search process and save more people in the post-disaster search.
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Michael Klafft. (2016). Effect of Daytime on the Efficiency of Population Alerts via Short Messages and E-Mails. 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: Alerting the population in time of crises and disasters can be challenging depending on the situational context. One key factor for success is to attract people?s attention to the fact that an alert has been issued. Attracting atten¬tion is affected by the alerting channel and its wake-up effect, but also by the time when an alert is being issued. While the reach as a function of daytime has been studied in-depth for some traditional me¬¬dia like TV (see, for example, Held 2001 for data from Germany), little is known about the impact of time on the efficiency of more recently established alerting channels like short messages (SMS) and e-mail. Furthermore, most exis¬ting stu¬dies rather focus on sending the alert to the recipient, rather than analyzing whether the recipient actually read the incoming message, or do not take into account the effect of time on the alert?s impact. How¬ever, this infor¬mation is helpful for practitioners like se¬curi¬ty and safety planners to better prepare for future incidents, and to optimize their communication strate¬gies. In order to close this gap, a field test to analyze how quickly ordinary people actually notice alerts via SMS and e-mail was conducted in the German county of Lippe. In total, 250 participants were acquired for the test through personal contacts, with the help of regional emergency mana¬gement officials, and via snowballing. The latter was important to reduce potential participant bias. People interested in joining the test registered through a website, where they could also select the alert channel(s) of their pre¬feren¬ce. The actual field test was then conducted during fourteen days, in which three test alerts were sent to registered participants.
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Adriaan ter Mors, Jeroen M. Valk, & Cees Witteveen. (2005). An event-based task framework for disaster planning and decision support. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 151–153). Brussels: Royal Flemish Academy of Belgium.
Abstract: Because of the apparent ineffectiveness of current disaster plans, we focus our research on modeling emergency response activities. If we can capture the crucial concepts of emergency response in a mathematical framework and apply this framework to construct disaster plans, then we pave the way for the development of automated decisions support systems for emergency response.
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Paula Mostert, Bartel A. Van De Walle, Koen Milis, & Jan Vandijck. (2005). The role of IT in crisis management exercising, training and planning in Belgian and Dutch Companies: A survey. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 131–133). Brussels: Royal Flemish Academy of Belgium.
Abstract: We report the findings of a crisis management survey on the role of IT in the crisis exercising, training and planning activities among companies in 6 different industries in two neighbouring European countries, Belgium and the Netherlands, having at least 50 employees. The survey was sent to 1450 Dutch and 1245 Belgian companies, 245 of which were returned, resulting in a response rate of 9%. The results of the survey show that the role of IT in these activities in both countries is very limited.
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Chris Murphy, Doug Phair, & Courtney Aquilina. (2005). A prototype multi-modal decision support architecture. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 135–137). Brussels: Royal Flemish Academy of Belgium.
Abstract: This paper presents the design of a decision support tool for crisis response applications. We propose a system to replace emergency contact calling trees with a multi-modal personnel contact architecture. This architecture consists of a centralized notification framework using existing enterprise e-mail, Web site, instant messaging, and voice over IP (VOIP) infrastructure. Response and audit data is collected and stored for analysis, and can be reviewed using a variety of methods in real time. Details of our prototype implementation are discussed. Specifically, we address multi-modal communication techniques and their benefits, enterprise deployment challenges, and opportunities for further research.
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Cynthia Nikolai, Irma Becerra-Fernandez, Troy Johnson, & Greg Madey. (2010). Leveraging WebEOC in support of the Haitian relief effort: Insights and lessons learned. 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 magnitude seven earthquake that rocked Haiti has been a devastating disaster for the small country (USGS 2010). They are not alone in this crisis, however. When the earthquake struck, thousands of US citizens responded by donating money, resources, people, and time to aid in the disaster relief. To respond to the incident and to create a secure information-sharing environment, the Florida Miami-Dade County and State Emergency Operations Centers (EOC) were activated. The main information system in use at the Miami-Dade EOC is WebEOC, a web-based crisis information management system that aids in secure coordination and collaboration among EOC staff, liaisons, and emergency managers. As a result of the earthquake response efforts using this system, we have identified seven main insights and lessons learned with respect to crisis information management software. In this paper, we discuss Miami-Dade's role in the Haitian relief efforts and how this lead to these insights and lessons learned.
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Stijn Oomes. (2004). Organization awareness in crisis management: Dynamic organigrams for more effective disaster 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. 63–68). Brussels: Royal Flemish Academy of Belgium.
Abstract: Disaster response organizations are ad-hoc assemblies of multiple emergency services that collaborate with the goal to minimize the number of casualties and possible (infra)structural damage. In order to be effective, emergency personnel not only needs shared awareness of the situation but also awareness of the organization. We propose an organization awareness support system that contains a dynamic organigram that provides people with a real-time visualization of the organization that they belong to. © Proceedings ISCRAM 2004.
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Penadés, M. ª.C., Núñez, A. G., Canós-Cerdá, J. H., & Coronel, J. (2023). DIMEPRO: a tool for diagnosis and improvement of the self-protection plans management. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (p. 1071). Omaha, USA: University of Nebraska at Omaha.
Abstract: Ensuring people's protection is an increasingly demanded requirement, both at political and corporate levels. Within the Spanish legislative system, organizations are obliged by law to develop and maintain the so-called Self-Protection Plan (SPP). In this work, we introduce DIMEPRO, a tool that provides organizations with means to evaluate and improve the management of their SPPs (SPPM). DIMEPRO is based on the QuEP-framework, which evaluates the maturity an organization has reached regarding its SPPM. DIMEPRO aims to become the reference tool for organizations chosen to improve their self-protection; to the best of our knowledge, DIMEPRO represents a pioneer system in addressing this problem since no other tools have addressed the same problem. This tool allows the diagnosis of SPPM and provides a set of best practices that will allow a roadmap for its improvement. The results of the assessments are displayed in dashboards, as well as in reports of different natures.
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Pestana, M. C., Vieira, V., & Ribeiro, A. (2023). Crowdsourcing and collaboration for crisis communication: a systematic review. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (p. 1072). Omaha, USA: University of Nebraska at Omaha.
Abstract: Establishing collaborative communication in crisis solutions provides appropriate support and efficient response to the public when an emergency scenario appears. The public comprises a crowd of humans involved in their quotidian activities. Communication should flow collaboratively between operational centers, civils, and public institutions professionals. Crowdsourcing is a technique that supports communication between the diverse public by using people collaboration. This paper’s primary goal is to study the state-of-the-art regarding crowdsourcing and collaboration for crisis communication. A systematic literature review guided this study. As a result, 20 papers have been selected about solutions that support communication for crises in the last ten years. Findings reveal solutions whose requirements provide rapid emergency response, good coordination between the agents and the crowd, and trustful data passing through a validation process.
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Quentin Schoen, Sebastien Truptil, Matthieu Lauras, Aurelie Conges, & Franck Fontanili. (2018). A new approach of monitoring system for Supply Chain management during crisis. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1140–1142). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Sensitive products supply chain and supply chain facing crisis management share several aspects. In both cases, several decision makers have to choose the best options most of the time under pressure, often in emergency and need to access numerous information from the field. This shared monitoring aspect put forward the visualization need to consider in each decision all the crisis potential impacts. Unfortunately, for the transportation steps we focus on, the current transport management systems do not reach these requirements. In this paper, focusing on supply chains during crisis situations, we present a new monitoring system with adapted functionalities. The added value is to connect in real time and relevant way the data from the field to the information on a shared model used to make reliable decisions. We use the French Blood Establishment supply chain to illustrate the proposition.
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Rahman, S., Ramakrishnan, T., & Ngamassi, L. (2023). Social Media Use for Disaster Management by Underserved Communities: A Uses and Gratification Theory Perspective. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (p. 1074). Omaha, USA: University of Nebraska at Omaha.
Abstract: Social media has emerged as a useful disaster management tool. However, studies indicate that not all individuals are equally inclined towards using social media for managing disasters. Underserved communities have not been able to reap the benefits of social media for disaster management to its full potential. We draw on the Uses and Gratification Theory and the literature on disaster vulnerability of underserved communities to develop a conceptual model. In our poster, we make five propositions in order to examine the motivating factors for the underserved communities to use social media for disaster management.
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Ramakrishnan, T., & Zou, L. (2023). Investigating the Role of Digital Divide and Social Media Use (SMU) to Improve Disaster Resilience in Vulnerable Communities. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (p. 1073). Omaha, USA: University of Nebraska at Omaha.
Abstract: Disasters are unexpected large-scale events accompanied by trauma, death, and destruction. Disaster resilience varies by location and can be significantly improved through effective management. Real-time information describing the on-site impacts of disasters plays an important role in managing disasters. Social media provides a convenient platform where users in disaster-affected areas can access disaster information, report local damages, and ask for assistance. However, a widespread spatially uneven flow in online activities requesting for food, shelter, and medical assistance among people in disaster-affected areas through social media is seen during any disaster. Digital divide Influences social media use. Before probing the social media data for inspecting the affected population and prioritizing the relief operations, the social inequality in the social media use has to be considered. In this study, we examine the role of digital divide and its influence in social media use with aim of improving disaster resilience in vulnerable communities.
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Helen Richardson. (2004). Expatriates in political crisis: A website. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 75–80). Brussels: Royal Flemish Academy of Belgium.
Abstract: With the rise in the profile of terrorism and war since the September 11th terrorist attack, the Bali, Turkish and Madrid bombings, organisational stress has reached new heights. Companies have subsequently realised the need to provide more resources for their expatriate employees. A few companies are now developing online resources to help employees through these crises. The researcher sought to extend this approach by developing a trial Website for expatriates employees and their families that draws on the concept of 'Storytelling' as a form of 'Narrative Therapy'. The aim is to help expatriates and their families cope with the crisis by being able to share similar experiences, and further to provide them with links to useful resources to help them cope with the situation. This study began with the researcher reflecting on their own family experiences during the Libyan Revolution and then collecting stories from others who have shared similar experiences. This is a research in progress paper, and deals with the development of the concept and then a trial Website, which will be tested in subsequent research. © Proceedings ISCRAM 2004.
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Rodriguez, R., & Bañuls, V. A. (2023). Designing collaborative emergency plans for enhancing resilience in urban business parks. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (p. 1069). Omaha, USA: University of Nebraska at Omaha.
Abstract: Nowadays, emergency planning is an intangible business asset that allows companies to better face the possible catastrophic events they may be exposed to. The aim of the present study was to determine what collaborative emergency planning is and which elements must be considered in it, taking into account that the purpose of this type of planning is to help several organizations to work together in any emergency. The data were gathered through focus groups in an industrial area of Southern Europe that comprises more than 2,500 companies. The results obtained in this work allowed defining the reach of Collaborative Emergency Planning in business parks, as well as its basic functionalities, emergency scenarios and aggravating scenarios. Lastly, it was determined that Collaborative Emergency Planning is a tool for the construction of Organizational Resilience.
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Rohit Valecha, Onook Oh, & H. Raghav Rao. (2018). A Model for Assessing Label Quality in Crowdsourced Crisis Mapping Systems: A Case of 2010 Haiti Earthquake. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (1161). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: This poster is dedicated to present our research work on the application of crowd and crowdsourcing platforms to crisis situations. In particular, it focuses on crowdsourced crisis mapping solutions. Crowdsourcing has become a popular avenue of research dealing with crisis mapping systems. Crisis mapping systems enable collecting and disseminating crisis information. The contribution of this research is to create a model to assess label quality in the context of crowdsourced crisis mapping. The model was devised in three phases: (1) collection of crisis reports from a crisis mapping platform, (2) crowd-sourced empirical approach to capture labels at scale, and (3) a theory-guided approach for feature selection to create a machine learning model. In the first phase, we collected crisis reports from the Ushahidi platform during the 2010 Haiti earthquake. In the second phase, we utilized CrowdFlower – a crowdsourcing platform for labeling crisis reports based on the input from five crowd volunteers. In the third phase, we adopted situation awareness lens for selecting contextual and collaborative features.
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Hussain Aziz Saleh. (2005). Dynamic optimisation of the use of space technology for rapid disaster response and 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. 139–141). Brussels: Royal Flemish Academy of Belgium.
Abstract: Modern space and information technologies provide valuable tools for the solution of many real-world problems in fields of managing effects of natural and man-made disasters, geomatic engineering, etc. Therefore, the need to develop and optimise the use of these technologies in an efficient manner is necessary for providing reliable solutions. This paper aims to develop powerful optimisation algorithms extending current highly successful ideas of artificial intelligence for developing of the disaster warning network which is a system of satellites and ground stations for providing real time early warning of the impact of the disaster and minimise its effects (e.g., earthquakes, landslides, floods, volcanoes, etc). Such intelligent algorithms can provide a degree of functionality and flexibility suitable both for constructing high-accuracy models and in monitoring their behaviour in real time.
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Sebastian Schmitz, Lennart Landsberg, Tim Brüstle, Johannes Weinem, & Ompe Aimé Mudimu. (2018). Evaluation of a flying localization system for the rescue of buried victims – A scenario based training approach. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1143–1147). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: The objective of this study was to develop various scenarios for evaluating an unmanned aerial vehicle that is developed for the localization of buried people after a building collapse. To test their concept of implementing this system into the command structure of organized first response the authors plan to carry out a tabletop exercise in laboratory scale and a large-scale exercise. Scenario based training is used as methodic approach for these exercises. To develop realistic scenarios, relevant national and international organizations and their requirements have been identified. Also, the requirements of the localization system have been taken into account. Furthermore, real incidents have been analyzed and their match with the requirements has been verified. As result one national and one international scenario, based on real incidents, are developed.
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