Andrea Bellucci, Alessio Malizia, Paloma Díaz, & Ignacio Aedo. (2010). Framing the design space for novel crisis-related mashups: The eStoryS example. 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: Web 2.0 can be viewed as a platform where users can develop their own web applications. It is also characterized by a vast amount of user-generated contents presenting spatial and temporal components, by means of associated metadata. These metadata has been successfully exploited to generate map-based mashups (web applications gathering data from different sources) facing different kind of crisis situations, ranging from natural disasters (earthquakes, wildfires, floods...) to human-made disasters (terrorist attacks, school shootings, conflicts...). The social and collaborative dimensions of the Web 2.0 can be also exploited for managing crisis-related information. We present here a survey of current crisis-related mashups we employed to extract design dimensions and provide a conceptual framework that can be used: A) to understand current systems and; b) to design next generation of crisis-related mashups. We propose the eStoryS system as an example of application developed following the design principles presented in this paper. On the basis of our analysis, we believe that the design dimensions posited here provide useful insights for the design of novel web mashups in the emergency management domain.
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Suradej Intagorn, Anon Plangprasopchok, & Kristina Lerman. (2010). Harvesting geospatial knowledge from social metadata. 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: Up-to-date geospatial information can help crisis management community to coordinate its response. In addition to data that is created and curated by experts, there is an abundance of user-generated, user-curated data on Social Web sites such as Flickr, Delicious, and Google Earth, that can be used to harvest knowledge to solve real-world problems. User-generated, or social, metadata can be used to learn concepts and relations between them that can improve information discovery, and data integration and management. We describe a method that aggregates social metadata created by thousands of users of the social photo-sharing site Flickr to learn geospatial concepts and relations. Our method leverages geotagged data to represent and reason about places. We evaluate learned geospatial relations by comparing them to a reference ontology provided by GeoNames.org. We show that our approach achieves good performance and also learns useful information that does not appear in the reference ontology.
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Joanne Stevenson, Ellie Kay, Chris Bowie, Vivienne Ivory, & John Vargo. (2018). The Data Challenges of Monitoring Resilience. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 153–165). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: There is a growing global demand for planning and development interventions aimed at enhancing the resilience of human systems. Coinciding with this demand for resilience enhancement is the demand for rigorous monitoring and evaluation of resilience and of the efficacy of resilience interventions. The aim of these assessments is to help decision makers prioritise inputs in a way that will result in the greatest reduction of mortality, health effects, and economic losses. As a result, there is an almost insatiable hunger for data that can improve our understanding of the resilience of human systems in the face of disasters. This paper reflects on two ongoing projects that are part of the 'Resilience Trajectories' programme of the Resilience to Nature's Challenges National Science Challenge. The first project, the creation of a New Zealand Resilience Index, is used to illustrate the data-related challenges and limitations of quantitative resilience assessments. We argue that composite indicators are useful aids for having a robust discussion about resilience, but high-level indicators must be supplemented with local knowledge and contextual information to facilitate meaningful decision making. The second project, the Data Integration and Visualisation En Masse (DIVE) web-based data catalogue, presents a partial solution to some of the resilience data challenges we have observed in the creation of the national index.
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Mitchell L. Moss, & Anthony M. Townsend. (2006). Disaster forensics: Leveraging crisis information systems for social science. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 305–312). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: This paper contributes to the literature on information systems in crisis management by providing an overview of emerging technologies for sensing and recording sociological data about disasters. These technologies are transforming our capacity to gather data about what happens during disasters, and our ability to reconstruct the social dynamics of affected communities. Our approach takes a broad review of disaster research literature, current research efforts and new reports from recent disasters, especially Hurricane Katrina and the Indian Ocean Tsunami. We forecast that sensor networks will revolutionize conceptual and empiricial approaches to research in the social sciences, by providing unprecedented volumes of high-quality data on movements, communication and response activities by both formal and informal actors. We conclude with a set of recommendations to designers of crisis management information systems to design systems that can support social science research, and argue for the inclusion of post-disaster social research as a design consideration in such systems.
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Oscar Durán, Catalina Esquivel, & Edward Ruiz. (2015). Sizing the Infrastructure and Architecture of Information for Risk Management. 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: In Costa Rica, there is an acceptable work in the area of risk management and an advanced system of emergency response. However, it is recognized and accepted the lack of a comprehensive shared approach to manage disaster risk that involves the prevention of disasters in the National System for Disaster Risk Management (SNGR in Spanish). One of the main needs is the lack of a shared and accessible national platform of timely and updated information for risk management. Considering this weakness, we submitted a proposal to the authorities of the University of Costa Rica (UCR) and the Consejo Superior Universitario Centroamericano (CSUCA) that was sponsored by the Swiss Agency for Development and Cooperation (SDC). The project seek to develop an information platform which uses a Content Management System with meta data, semantic , taxonomic and georeferenced information for local, regional and national levels in Costa Rica. The system also serves as a network for data producers, analysts, users of public and private institutions, and of the population in general.
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