Jacqueline Floch, Michael Angermann, Edel Jennings, & Mark Roddy. (2012). Exploring cooperating smart spaces for efficient collaboration in disaster 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: This paper discusses the applicability of Cooperating Smart Spaces in the disaster management realm and their potential to increase the efficiency and effectiveness of rescue relief teams. The Cooperating Smart Space is a novel concept that combines and extends pervasive computing and social computing to support smart space management and community collaboration. Based on an analysis of current practice, we illustrate how the concept can be exploited in the assessment of a disaster scenario in order to improve information management, collaboration between expert teams and cooperation with online volunteers outside of the disaster zone. We present the results of an initial user evaluation by disaster management experts and conclude with important implications for the design of a Cooperating Smart Space platform. © 2012 ISCRAM.
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Jose Vargas Florez, Anthony Charles, Matthieu Lauras, & Lionel Dupont. (2014). Designing realistic scenarios for disaster management quantitative models. 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. 180–189). University Park, PA: The Pennsylvania State University.
Abstract: Disaster Management has received a lot of attention over the last twenty years, and can now be considered a full research area. But a gap exists between research work proposals and their applications on the field. This is particularly true regarding quantitative approaches. One of the main issues is that the scenarios used to design and validate the proposals are often not accurate and/or too simple compared to the complexity of real situations. Designing realistic scenarios is of prime importance to be able to propose relevant quantitative models which could be implemented by practitioners. This paper tackles this problem by proposing a structured methodology which aims at defining realistic disaster scenarios. The case of earthquakes management in Peru is used to illustrate the consistency of our proposal.
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Stephen C. Fortier, & Ioannis M. Dokas. (2008). Setting the specification framework of an Early Warning System using IDEF0 and information modeling. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 441–450). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Our goal is to develop an Early Warning System for an engineering system with a special interest in applying this to a material recovery facility. This on-going research points out that there is no clear definition of what Early Warning Systems are. A literature search for Early Warning Systems identifies hundred of thousands hits (Buchanan-Smith, 1999; Davies, Buchanan-Smith, Lambert, 1991). Almost all of the references had to do with financial systems for third world countries, tracking the destructive nature of violent conflicts that led to human suffering, or systems for syndromic surveillance. The goal of our research, and of this paper, is to define a framework for creating a specification that can be considered as the basis for the development of any Early Warning System-specifically for engineering systems. Therefore, we will describe Early Warning Systems and its requirements and specifications. Based on specification patterns, we have developed an abstract model of an Early Warning System; and developed an IDEF0 model of a material recovery facility that provides the framework for specifying an Early Warning System. The Early Warning System is then specified using information modeling.
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Zeno Franco, Syed Ahmed, Craig E. Kuziemsky, Paul A. Biedrzycki, & Anne Kissack. (2013). Using social network analysis to explore issues of latency, connectivity, interoperability & sustainability in community 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. 896–900). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Community-based disaster response is gaining attention in the United States because of major problems with domestic disaster recovery over the last decade. A social network analysis approach is used to illustrate how community-academic partnerships offer one way to leverage information about existing, mediated relationships with the community through trusted actors. These partnerships offer a platform that can be used to provide entré into communities that are often closed to outsiders, while also allowing greater access to community embedded physical assets and human resources, thus facilitated more culturally appropriate crisis response. Using existing, publically available information about funded community-academic partnerships in Wisconsin, USA, we show how social network analysis of these meta-organizations may provide critical information about both community vulnerabilities in disaster and assist in rapidly identifying these community resources in the aftermath of a crisis event that may provide utility for boundary spanning crisis information systems.
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Jörn Franke, Adam Widera, François Charoy, Bernd Hellingrath, & Cédric Ulmer. (2011). Reference process models and systems for inter-organizational ad-hoc coordination – Supply chain management in humanitarian operations. 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 this work we present a general framework for process-oriented coordination and collaboration in humanitarian operations. Process management has been proven useful in many business domains, but humanitarian operations and disaster response management in general require different process management approaches. Related work has only recently introduced traditional process management approaches for emergency management. These traditional approaches have several limitations with respect to the domain of humanitarian operations and disaster management. Our approach points to design, run-time and monitoring of inter-organizational humanitarian logistics processes. It consists of two parts: A reference model for humanitarian logistics tasks and a system for ad-hoc process management of these tasks. We discuss how they can be integrated to provide additional benefits.
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Jörn Franke, François Charoy, & Cédric Ulmer. (2010). A model for temporal coordination of disaster response activities. 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: One problem for public safety organizations in a disaster is the management of response activities and their dependencies on an intra-and inter-organizational level. Our interviews with end users have shown that current solutions for managing activities are complicated to use in the crisis by teams in the field and also in operation centers, when facing continuous unexpected events and cross-organizational activities. We propose an activity centric system for managing crisis response activities for such situations. We give an example how this system is used in a crisis within one organization and cross-organizations. Afterwards, we explain the evaluation of the solution. This research contributes not only to the crisis management domain, but also to the business process management domain by providing an alternative view on activities in highly dynamic scenarios.
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Martin Frassl, Michael Lichtenstern, Mohammed Khider, & Michael Angermann. (2010). Developing a system for information management in disaster relief – Methodology and requirements. 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 discusses our ongoing work on a system for collecting, managing and distributing relevant information in disaster relief operations. It describes the background and conditions under which the system is being developed and employed. We present our methodology, the requirements and current functionality of the system and the lessons learned in exercises and training, involving a large number of international disaster management experts. We found that the viability of this kind of tool is determined by three main factors, namely reliability, usability and frugality. The system has gone through many prototype iterations and has matured towards becoming operational in a specific type of mission, i.e. assessment missions for large scale natural and man-made disasters. This paper aims at making a wider audience of disaster management experts aware of that system and the support it may provide to their work. Other researchers and developers may find our experience useful for creating systems in similar domains.
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Simon French, & Carmen Niculae. (2004). Believe in the model: Mishandle the emergency. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 9–14). Brussels: Royal Flemish Academy of Belgium.
Abstract: During the past quarter century there have been many developments in scientific models and computer codes to help predict the ongoing consequences in the aftermath of many types of emergency: e.g. storms and flooding, chemical and nuclear accident, epidemics such as SARS and terrorist attack. Some of these models relate to the immediate events and can help in managing the emergency; others predict longer term impacts and thus can help shape the strategy for the return to normality. But there are many pitfalls in the way of using these models effectively. Firstly, non-scientists and, sadly, many scientists believe in the models' predictions too much. The inherent uncertainties in the models are underestimated; sometimes almost unacknowledged. This means that initial strategies may need to be revised in ways that unsettle the public, losing their trust in the emergency management process. Secondly, the output from these models form an extremely valuable input to the decision making process; but only one such input. Most emergencies are events that have huge social and economic impacts alongside the health and environmental consequences. While we can model the latter passably well, we are not so good at modelling economic impacts and very poor at modelling social impacts. Too often our political masters promise the best 'science-based' decision making and too late realise that the social and economic impacts need addressing. In this paper, we explore how model predictions should be drawn into emergency management processes in more balanced ways than often has occurred in the past. © Proceedings ISCRAM 2004.
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Simon French, & Nikolaos Agryris. (2014). Nuclear emergency management: Driven by precedent or international guidance? 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. 483–487). University Park, PA: The Pennsylvania State University.
Abstract: The NREFS project is re-evaluating the management of radiation accidents, paying attention to environmental, financial and safety issues and to the threat and response phase. In designing our project some two years ago, we were concerned to avoid any assumption that a future accident will be similar to a past accident, in particular the Chernobyl and Fukushima Accidents. After a year of research on the issues to be considered and the criteria that could or should drive the decision making, our concern has increased. We have found that international guidance provided by organisations such as ICRP and IAEA lack the specificity to help decision makers. Precedent set in the handling of earlier accidents provides much clearer and tighter guidance – and, moreover, one may feel that that the public will expect them to follow such precedent. Unfortunately the circumstances of a future accident may make precedent inapplicable. Consequently we believe that there is an urgent need to think more widely about nuclear emergency management.
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G.P. Jayasiri, & Raj Prasanna. (2023). Citizen Science for supporting Disaster Management Institutions in Sri Lanka. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 77–88). Palmerston North, New Zealand: Massey Unversity.
Abstract: During 2016, 2017 and 2018, the country witnessed extreme rains which triggered flooding in several urban areas. The number of affected people by the 2018 floods was around 150,000 which shows a significant decrease compared to the events in 2016 and 2017. Several institutions provided their support via funding, relief, and rehabilitation mechanisms during these consecutive disasters. However, there are provisions which can further improve the performance of Disaster Management activities. Given this context, this study is carried out to investigate the application of citizen science concepts in several phases of Disaster Management in Sri Lanka. A scoping review supported by three case studies of floods was considered during the analysis. Limited participation of grass root level communities in decision-making and disaster planning, and issues related to data management are some of the main challenges identified in this study. Participatory mapping, Co-Design Projects, hackathons, and crowdfunding are some of the observed citizen science concepts which can be used to address the challenges and strengthen the Disaster Management activities in Sri Lanka. Further studies including interviews and questionnaire surveys were recommended to justify the findings.
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Gaëtan Caillaut, Cécile Gracianne, Nathalie Abadie, Guillaume Touya, & Samuel Auclair. (2022). Automated Construction of a French Entity Linking Dataset to Geolocate Social Network Posts in the Context of Natural Disasters. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 654–663). Tarbes, France.
Abstract: During natural disasters, automatic information extraction from Twitter posts is a valuable way to get a better overview of the field situation. This information has to be geolocated to support effective actions, but for the vast majority of tweets, spatial information has to be extracted from texts content. Despite the remarkable advances of the Natural Language Processing field, this task is still challenging for current state-of-the-art models because they are not necessarily trained on Twitter data and because high quality annotated data are still lacking for low resources languages. This research in progress address this gap describing an analytic pipeline able to automatically extract geolocatable entities from texts and to annotate them by aligning them with the entities present in Wikipedia/Wikidata resources. We present a new dataset for Entity Linking on French texts as preliminary results, and discuss research perspectives for enhancements over current state-of-the-art modeling for this task.
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Jean-François Gagnon, François Couderc, Martin Rivest, Simon Banbury, & Sébastien Tremblay. (2013). Using SYnRGY to support design and validation studies of emergency management solutions. 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. 512–516). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Emergency management situations are highly complex and require the collaboration of multiple parties for adequate responses to incidents. The design and validation of effective emergency response systems is critical in order to improve the overall effectiveness of teams tasked to manage emergency situations. We report ongoing work whose objective is to increase the efficiency of emergency response solutions through iterative cycles of human in-the-loop simulation, modeling, and adaptation. Ultimately, this cycle could either be achieved offline for complex adaptation (e.g., development of a novel interface), or online to provide timely and accurate decision support during an emergency management event. The method is made possible by achieving a high degree of realism and experimental control through the use of an innovative emergency management simulation platform called SYnRGY.,Emergency Management, Emergency Response Systems, Simulation, System Design, Validation.
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Antony Galton, & Michael Worboys. (2011). An ontology of information for emergency 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: The next generation of information systems for emergency management will be based on information provided by large and diverse collections of sensors, including information supplied by human volunteers. Consequently there is more than ever a need to provide solutions to the integration question, so that the Common Operating Picture can truly and effectively provide the unified view required of it. This paper describes some work on the ontology of information that can contribute to a solution of the integration problem. To set the stage, the paper discusses the relevance of information integration to emergency management, and then goes on to describe a project that provided the catalyst for this work. Later sections introduce ontological research and proceed to use it to lay the foundations for an ontology of information. In the final sections we indicate how such an ontology can be used in the context of emergency management.
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Gerhard Backfried, Christian Schmidt, & Gerald Quirchmayr. (2015). Cross-Media Linking in Times of Disaster. 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: Many possible links and connections can be observed between the different types of media used for communication during a crisis. These links can be detected and assembled to provide a more complete picture of events. They can be categorized according to the type of destination which yields important information for the gathering process as well as concerning general patterns of how platforms are connected. Tweets, posts and comments thus become parts of larger, linked sets of documents forming compound-documents. These documents stretch across media borders and platforms and provide context and broader information for individual entries. In the current paper we describe some of the links and linking behavior encountered during the floods in Central Europe of 2013 from the perspective of Twitter and Facebook.
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Nicklaus A. Giacobe, & Pamela J. Soule. (2014). Social media for the emergency manager in disaster planning and response. 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. 570–574). University Park, PA: The Pennsylvania State University.
Abstract: This practitioner paper outlines some of the benefits for the use of social media, from the perspective of a local-level or county-level emergency manager (EM). As compared to state and national level emergency management, because local level EMs have limited manpower and resources, social media can positively or negatively impact the effectiveness of communication before, during and after disaster strikes. Outlined in this paper are six key points where local EMs have specific needs that could be addressed by the effective use of social media and, in the opinion of the authors, represent the top issues that EMs face when considering how to leverage Twitter, Facebook, YouTube, Instagram and other social media platforms. The six needs addressed in this paper include: 1) Best practices for general social media use by EMs, 2) Social media use for internal command and control within the EM group, 3) Developing situation awareness by monitoring social media, especially prior to predicable events, 4) Communicating disaster preparedness messages through social media, 5)Using social media for gathering damage assessment information during, or immediately following a crisis,and 6) Leveraging social media volunteer groups. This short paper picks up where the Federal Emergency Management Agency's social media training leaves off and attempts to represent these six needs as use cases for researchers and developers to address in future publications and products.
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Terence D. Gibson. (2010). It's not just the data: Participatory monitoring and the most significant change. 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: Overlaying the technical aspects of participative communications and network design is the question 'how they can secure social change?' Social change is a political act. How can transnational networks gain political influence for local groupings at the national and international level? The Global Network for Disaster Reduction has undertaken a large scale 'participatory monitoring' project with the intended aim of using an activist 'social network' to create 'social demand': influencing policy and implementation within the UN.s framework for disaster reduction. While the project achieved its intended goals, the unintended impacts of the project are argued to be at least as significant; revealing ways that networks can create 'political space' at the local level which can influence policy and access to resources at the national and international level. This paper is presented from a practitioner perspective, linking practice to theoretical work on transnational social movements and participative communications.
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Jose J. Gonzalez, Geir Bø, & John Einar Johansen. (2013). A system dynamics model of the 2005 hatlestad slide emergency management. 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. 658–667). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: It has long been recognized that the management of emergencies requires that response organisations act flexibly, becoming an “emergent organisation” to better manage the fact that disasters do not follow scripts. Nevertheless, recent research shows that crisis response organisations prefer to follow patterns adequate for normal situations. Arguably, the resistance to become an emergent organisation could be related to poor understanding of how to move from disorganisation to self-organisation. We extend a recent system dynamics work by Tu, Wang and Tseng, describing the transition from disorganisation to self-organisation in the Palau case, to analyse the management of disorganisation in the fatal Hatlestad landslide in Norway. We suggest that the causal structure of the system dynamics model describing the Palau and the Hatlestad case should be considered a candidate for an emergent “middle-range theory” describing the management of disorganisation in emergencies. We propose specific data collection to test the candidate theory.
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Jose J. Gonzalez, Ole-Christoffer Granmo, Bjørn Erik Munkvold, Frank Y Li, & Julie Dugdale. (2012). Multidisciplinary challenges in an integrated emergency management approach. 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: The University of Agder, Norway, has recently founded a Centre for Integrated Emergency Management (CIEM). The centre brings together a highly multi-disciplinary group of local and international researchers in technology and the social sciences. This paper presents an interdisciplinary vision for large-scale integrated emergency management that has been inspired by the transition from platform centric to Integrated Operations in the oil and gas fields, which uses remote emergency control centers collaborating virtually with local responders. The paper discusses some of the most salient research challenges for Integrated Emergency Management. © 2012 ISCRAM.
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Klaus Granica, Thomas Nagler, Markus M. Eisl, Mathias Schardt, & Helmut Rott. (2005). Satellite remote sensing data for an alpine related disaster management GIS. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 221–232). Brussels: Royal Flemish Academy of Belgium.
Abstract: Natural disasters are an age-old problem that occur regularly in alpine regions, posing a major threat to the safety of settlements and transport routes. Within the project “Safety of Alpine Routes – Application of Earth Observation Combined with GIS (Hannibal)”, financed by the Ministry of Transport and Innovation, information relevant for disaster management has been extracted from satellite remote sensing and integrated into a newly developed GIS based Decision Support System (DSS). Some of the required map information were inferred from ERS- or from SPOT5- and QUICKBIRD satellites, others were taken from conventional data sources such as maps or Digital Terrain Models.
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Tim J. Grant. (2008). Checklist for comparing emergency management information systems. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 752–763). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes a checklist that has been developed for comparing the functionality of emergency management control centres and their information systems. The intention is to interest the ISCRAM community in using the checklist in various applications and pooling experiences. The Control Centre Visit Checklist has evolved through four iterations. It has been used to study two military C2 systems and one non-military control system, and has been applied by students for course assignments. The paper focuses on the part of the checklist that evaluates the information system from the systems viewpoint. It describes the underlying applications architecture and process model. The Royal Netherlands Army's Battlefield Management System illustrates the application of the checklist. The results show that the checklist aids in identifying where C2 systems can be developed further. The next step is to perform a set of substantial pilot studies for diverse domains, including civilian emergency management systems.
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Zvonko Grzetic, Nenad Mladineo, & Snjezana Knezic. (2008). Emergency management systems to accommodate ships in distress. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 669–678). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: As a future member of the European Union (EU), Croatia has decided to implement EU Directive 2002/59/EC of the European Parliament and of the Council binding all EU member states to define places of refuge for ships in need of assistance off their coasts, or to develop techniques for providing assistance to such ships. Consequently, the Ministry of the Sea, Tourism, Transport and Development of the Republic of Croatia has initiated a project for developing an effective Decision Support System (DSS) for defining the places of refuge for ships in distress at sea. Such a system would include a model based upon GIS and different operational research models, which would eventually result in establishing an integral DSS. Starting points for analysis are shipping corridors, and 380 potential locations for places of refuge designated in the official navigational pilot book. Multicriteria analysis, with GIS-generated input data, would be used to establish worthiness of a place of refuge for each ship category, taking into account kinds of accident. Tables of available intervention resources would be made, as well as analysis of their availability in respect of response time, and quantitative and qualitative sufficiency.
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Matthew Guardascione, & Allen E. Milewski. (2010). Feedback mechanisms in automated emergency management training. 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 study explored automated training for emergency managers and the effects of feedback on performance. A prototype emergency management training application was built to allow the usage of either immediate feedback or delayed, “hotwash” feedback. Users were split into two groups and asked to carry out two emergency management scenarios using one of the feedback mechanisms, and the difference in scores between each feedback type were analyzed There was a general increase in performance across sessions. Further, the improvements in scores between each feedback type showed that users performed significantly better when using the hotwash feedback mechanism compared with the immediate feedback mechanism. In contrast to the performance data, preference data showed no overall differences between the two procedures, although each user had a strong preference for one or the other feedback mechanism. The implications for the design of training systems offering both procedures are discussed.
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Lucy T. Gunawan, Martin Voshell, Stijn Oomes, & David D. Woods. (2007). Envisioning collaboration at a distance for the evacuation of walking wounded. 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. 431–437). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The “walking wounded” is a category of disaster victims that can help themselves in finding their way to safety. The problem we address here is how first responders, walking wounded, and other rescue personnel can coordinate their joint activities more efficiently in order to accomplish the evacuation as quickly as possible. We focus our design on the “coordination loops” in the disaster response organization, both vertically across levels of authority, and horizontally among responders in the same echelon. In our envisioned scenario of a chemical accident we identify the most important interactions through which activities are coordinated that are crucial for a successful evacuation. We propose three different “coordination devices” that can be used by the walking wounded, the rescuers in the fields, and the people in the command center. We believe our approach, explicitly designing support systems for coordination first, will lead to important improvements in the daily practice of disaster response.
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Lucy T. Gunawan, Siska Fitrianie, Willem-Paul Brinkman, & Mark A. Neerincx. (2012). Utilizing the potential of the affected population and prevalent mobile technology during disaster response: Propositions from a literature survey. 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 growing awareness of the untapped potential of the affected population in a disaster situation, their inclusion in a disaster management is extremely limited. This study aims to survey the literature to see whether utilizing the affected people and prevalent mobile technology can be used during disaster response. The idea is to provide the affected with a way to lead themselves to safety and empower them to serve as distributed active sources of information. This way, those people will reach safety by themselves, while at the same time helping to construct a clear image of the disaster situation without burdening the already overwhelmed emergency services. This study examines knowledge derived from disaster sociology, draws on experience from recent disasters, and extrapolates current technological solutions. By establishing that such a solution is feasible, it offers a basis for empirical studies on a mobile technology that can be used during disaster response. © 2012 ISCRAM.
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Guoqin Ma, & Chittayong Surakitbanharn. (2019). Predicting Hurricane Damage Using Social Media Posts Coupled with Physical and Socio-Economic Variables. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: During a natural disaster or emergency event, individual social media posts or hot spots may not necessarily correlate
to the most devastated areas. To better understand the correlation between social media and physical damage, we
compare Tweets, data about the physical environment, and socio-economic factors with insurance claim information
(as a proxy for physical damage) from 2017 Hurricane Irma in the state of Florida. We use machine learning
to identify relevant Tweets, sensitivity analyses to identify socio-economic factors, and statistical regression to
determine the predictive capability of insurance claims as a proxy for damage. We find that Tweets alone result in a
poorly fitted regression model of insurance claims, but the inclusion of physical features (e.g., power outages, wind
level) and socio-economic factors (e.g., population density, education, Internet access) improves the model?s fit.
Such models contribute to the knowledge base that may allow social media to predict damage in real-time.
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