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Rita Kovordanyi, Rudolf Schreiner, Jelle Pelfrene, Johan Jenvald, Henrik Eriksson, Amy Rankin, et al. (2012). Real-time support for exercise managers' situation assessment and decision making. 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: Exercise managers and instructors have a particularly challenging task in monitoring and controlling on-going exercises, which may involve multiple response teams and organizations in highly complex and continuously evolving crisis situations. Managers and instructors must handle potentially incomplete and conflicting field-observation data and make decisions in real-time in order to control the flow of the exercise and to keep it in line with the training objectives. In simulation-based exercises, managers and instructors have access to a rich set of real-time data, with an increased potential to closely monitor the trainees' actions, and to keep the exercise on track. To assist exercise managers and instructors, data about the on-going exercise can be filtered, aggregated and refined by real-time decision-support systems. We have developed a model and a prototype decision-support system, using stream-based reasoning to assist exercise managers and instructors in real-time. The approach takes advantage of topic maps for ontological representation and a complex-event processing engine for analyzing the data stream from a virtual-reality simulator for crisis-management training. Aggregated data is presented both on-screen, in Twitter, and in the form of topic maps. © 2012 ISCRAM.
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Alexandra Krakovsky. (2010). The role of social networks in crisis situations: Public participation and information exchange. 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 goal of the paper is to discuss the framework for an interdisciplinary human-computer interactive technology that facilitates information and resource exchange and forms core groups for crisis management. The social networks discussed here are designed to incorporate local knowledge and participation and to foster institutional and academic ties by modeling interrelationships among global communities and exploring policy options. Social interactions between individuals and organizations are explored especially in situations when directed responses are helpful in predicting the complex interplay between social, political, and technological systems and practices that result in a transfer of information and resources in disaster situations. In the future, such networks shall identify patterns through which groups interact in responding to critical issues and shall incorporate more complicated actions by individuals and organizations allowing them to move away from a rigid path to manage disasters via the most situationally appropriate routes.
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Kristoffer Karl Darin-Mattsson, & Niklas Hallberg. (2019). Do's and Don'ts in Inter-Organizational Crisis Management Exercises. 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: It is commonly assumed that conducting exercises will contribute to better crisis management. However, the exact mechanisms of cause and effect are hard to isolate empirically. The objective of this paper is to compile and analyze the recommendations in the literature on inter-organizational exercises and learning. While not claiming to meet the strict scientific demand of empirical validation and general applicability, the compilation may nevertheless provide some guidance from research to practitioners. Forty-four papers about learning in interorganizational exercises were analyzed. Out of the analyzed papers, 28 discussed obstacles or success factors.
However, the recommendations applicable in one setting are not automatically valid in others, and some are even contradictory. The recommendations have therefore been categorized according to two criteria; when in the exercise cycle and for whom they apply. Several recommendations concern individual learning, but maximizing individual learning can sometimes hamper learning on the organizational level.
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Leire Labaka, Josune Hernantes, Ana Laugé, & Jose Mari Sarriegi. (2011). Three units of analysis for Crisis Management and Critical Infrastructure Protection. 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: Society's welfare is very dependent on the effective performance of Critical Infrastructure (CI). Nowadays, CI constitutes a network of interconnected and interdependent entities. This means that a serious event in one CI can originate cascading events in the rest, leading to a serious crisis. As a consequence, Crisis Management (CM) and Critical Infrastructure Protection (CIP) should converge and integrate their findings, providing a more unified approach. One relevant issue when developing integrated CM/CIP research is what type of unit of analysis should be used, as it conditions the research objectives and questions. This paper presents an analysis of three different units of analysis used in CM research, focusing on the research objectives and questions used in them. These three different units of analysis have been used in a European CIP research project where three simulation models have been developed based on these three units of analysis.
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LaLone, N., Dugas, P. O. T., & Semaan, B. (2023). The Crisis of Designing for Disaster: How to Help Emergency Management During The Technology Crisis We Created. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 126–143). Omaha, USA: University of Nebraska at Omaha.
Abstract: Emergency Management (EM) is experiencing a crisis of technology as technologists have attempted to innovate standard operating procedures with minimal input from EM. Unsurprisingly, there has yet to be a success. Instead, technologists have focused on consumer culture and fostered a slow-moving crisis as the gap between what consumers and EM can do is deep. At present, the most ubiquitous aspect of technology in disaster is its capacity to exacerbate response, create new kinds of disaster, and create consumer expectations that EM cannot meet. In the present work, we highlight how and why technological production needs to shift its ontological premises dramatically to meet the needs of technology for first responders. From supporting practice to taking a few steps back from the bleeding edge, we offer a range of suggestions based on the technological capacities of emergency management in the present and in the future.
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Lamsal, R., Read, M. R., & Karunasekera, S. (2023). A Twitter narrative of the COVID-19 pandemic in Australia. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 353–370). Omaha, USA: University of Nebraska at Omaha.
Abstract: Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous studies confirm the usefulness of such socially generated discussions for the public, first responders, and decision-makers to gain a better understanding of events as they unfold at the ground level. This study performs an extensive analysis of COVID-19-related Twitter discussions generated in Australia between January 2020, and October 2022. We explore the Australian Twitterverse by employing state-of-the-art approaches from both supervised and unsupervised domains to perform network analysis, topic modeling, sentiment analysis, and causality analysis. As the presented results provide a comprehensive understanding of the Australian Twitterverse during the COVID-19 pandemic, this study aims to explore the discussion dynamics to aid the development of future automated information systems for epidemic/pandemic management.
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Jonas Landgren. (2010). Principles of radical research in the area of information systems for crisis response. 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 paper outlines a set of principles for radical research in the field of information systems for crisis response and management. After every major disaster, there is a never-ending call for new solutions that could improve emergency and crisis response work. This paper presents confessional accounts from one research group on how design oriented research could adopt a design perspective and organize research that have substantial potential in improving emergency and response work through innovative design of information technology use.
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Jonas Landgren. (2011). Critical aspects of early-phase response work and its consequences for digital event-log systems. 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: This paper reports from a study focusing on documentation practice in emergency and crisis response work. Specific focus is put on how information is produced and used in the time-critical setting of a situation room part of a command center at a local fire and rescue services. The study uncovers critical aspects of early-phase response work and its potential consequences for digital event-log systems for supporting documentation and reporting. The findings show that fundamental and important information are produced outside of the formal event-log based documentation systems and not as an embedded and integrated activity of using these systems. The analysis shows existing information technology in use lack important functionality in order to contribute to an event-log based system design as suggested in the DERMIS-framework.
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Larissa Aldehoff. (2019). Renouncing Privacy in Crisis Management? People's View on Social Media Monitoring and Surveillance. 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: Social media is used during crises and disasters by state authorities and citizens to communicate and provide, gain
and analyze information. Monitoring of platforms in such cases is both a well-established practice and a research
area. The question, whether people are willing to renounce privacy in social media during critical incidents, or
even allow surveillance in order to contribute to public security, remains unanswered. Our survey of 1,024 German
inhabitants is the first empirical study on people�s views on social media monitoring and surveillance in crisis
management. We find the willingness to share data during an imminent threat depends mostly on the type of data:
a majority (63% and 67%, respectively) would give access to addresses and telephone numbers, whereas the
willingness to share content of chats or telephone calls is significantly lower (27%). Our analysis reveals diverging
opinions among participants and some effects of sociodemographic variables on the acceptance of invasions into
privacy.
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Ana Laugé, Josune Hernantes, & Jose Mari Sarriegi. (2013). Disaster impact assessment:A holistic framework. 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. 730–734). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: One of the important aspects of the crisis management consists in a comprehensive analysis of the impacts generated and their associated cost. The capacity to carry out an efficient holistic management, through the development of preventive measures and response programs relies on a proper estimation of impacts which helps to mitigate the harshness or can even avoid impacts in face of future crises. The aim of this paper is to analyse existing methodologies for natural disasters' impact evaluation, the identification of the different impact categories as well as the explanation of a natural disasters impact framework, which includes a list of indicators for a correct impact assessment. The framework also analyses the evolution of impacts, that is, how immediate impacts can also generate delayed impacts.
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Laura Petersen, Laure Fallou, Grigore Havarneanu, Paul Reilly, Elisa Serafinelli, & Rémy Bossu. (2018). November 2015 Paris Terrorist Attacks and Social Media Use: Preliminary Findings from Authorities, Critical Infrastructure Operators and Journalists. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 629–638). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Crisis communication is a key component of an effective emergency response. Social media has evolved as a prominent crisis communication tool. This paper reports how social media was used by authorities, critical infrastructure operators and journalists during the terrorist attacks that hit Paris on 13th November 2015. A qualitative study was conducted between January and February 2017 employing semi-structured interviews with seven relevant stakeholders involved in this communication process. The preliminary critical thematic analysis revealed four main themes which are reported in the results section: (1) social media is used in crisis times; (2) authorities gained situational awareness via social media; (3) citizens used social media to help one another; and (4) communication procedures changed after these critical events. In conclusion, authorities, citizens and journalists all turned to social media during the attack, both for crisis communication and for increasing situational awareness.
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Laura Petersen, Laure Fallou, Paul Reilly, & Elisa Serafinelli. (2017). Public expectations of social media use by critical infrastructure operators in crisis communication. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 522–531). Albi, France: Iscram.
Abstract: Previous research into the role of social media in crisis communication has tended to focus on how sites such as Twitter are used by emergency managers rather than other key stakeholders, such as critical infrastructure (CI) operators. This paper adds to this emergent field by empirically investigating public expectations of informatio provided by CI operators during crisis situations. It does so by drawing on key themes that emerged from a review of the literature on public expectations of disaster related information shared via social media, and presenting the results of an online questionnaire-based study of disaster-vulnerable communities in France, Norway, Portugal and Sweden. Results indicate that members of the public expect CI operators to provide disaster related information via traditional and social media and to respond to their queries on social media. CI operators should avail of the opportunities provided by social media to provide real-time information to disaster affected communities.
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Lauren Thévin, Julie Dugdale, Olivier Boissier, & Catherine Garbay. (2016). Evaluating Plans and Human Response Using a Normative Multi-Agent System. 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: We describe a socio-technical system designed to train different organisations in emergency management during the preparedness phase. In this system, both humans and the system work together in building organisational context awareness. The system uses a normative multi-agent system and a tangible table for user interaction. Real time virtual feedbacks are used to draw users? attention to the validity of their actions with respect to the emergency plan. Feedback allows the actors to be aware of the other factors that impact the validity of their action (actions of other actors, environment etc.) and to identify the behaviour that is expected of them by the other organisations. The system is still in its prototype phase. Its behaviour is illustrated by example scenarios, showing that it is possible to support collaboration amongst distant actors, in a way that only relevant information is shown.
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Leon J. M. Rothkrantz, & Siska Fitrianie. (2015). Bayesian Classification of Disaster Events on the Basis of Icon Messages of Observers. 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: During major disaster events, human operators in a crisis center will be overloaded with under-stress a flood of phone calls. As an increasing number of people in and around big cities do not master the native language, the need for automated systems that automatically process the context and content of information about disaster situations from the communicated messages becomes apparent. To support language-independent communication and to reduce the ambiguity and multitude semantics, we developed an icon-based reporting observation system. Contrast to previous approaches of such a system, we link icon messages to disaster events without using Natural Language Processing. We developed a dedicated set of icons related to the context and characteristic features of disaster events. The developed system is able to compute the probability of the appearance of possible disaster events using Bayesian reasoning. In this paper, we present the reporting system, the developed icons, the Bayesian model, and the results of two experiments.
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Benedikt Ley, Volkmar Pipek, Christian Reuter, & Torben Wiedenhöefer. (2012). Supporting inter-organizational situation assessment in crisis management. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: To assess current situation properly is crucial for effective decision-making in crisis management. However, gathering accurate information from incidence sites and providing appropriate support for assessment practices faces several challenges. The unique information demands of each crisis situation, the information availability or inter-organizational problems and obstacles to information exchange are important factors that need to be considered in designing ICT. In this contribution we present results from an empirical study about decision-making practices in scenarios of medium to large power outages in Germany. We focused on the needs and practices on information exchange at the level of inter-organizational cooperation. We examined the cooperation of fire departments, police, public administration, electricity infrastructure operators and citizens. Our empirical material reflects particularly conditions and challenges in current situation assessment practices, and we were able to derive design requirements for an inter-organizational situation assessment client as a complementary tool for existing crisis management infrastructures. © 2012 ISCRAM.
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Benedikt Ley, Volkmar Pipek, Tim Siebigteroth, & Torben Wiedenhöefer. (2013). Retrieving and exchanging of information in inter- Organizational crisis 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. 812–822). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Information is the most valuable resource for coping and recovery work in crisis management. It is the foundation for coordination, collaboration and decision-making. However, several challenges face information retrieval, evaluation and exchange processes in inter-organizational crisis management. On the one hand, due to the dynamic nature of crisis situations, information demands are hardly predictable and change in the course of time. Moreover, inter-organizational issues like terminology issues, policy constrains or even the lack of awareness about information available are influencing factors and need to be considered in designing appropriate ICT. In this paper we report from an empirical study, where we had a closer look on information retrieval and exchange practices in scenarios of medium to large power outages in Germany on an interorganizational level. Derived from these results, we were able to present a reference implementation of an interorganizational information repository (IOIR) and report our findings from a related evaluation.
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Bas Lijnse, Jan Martin Jansen, Ruud Nanne, & Rinus Plasmeijer. (2011). Capturing the Netherlands Coast Guard's SAR workflow with iTasks. 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 dynamic nature of crisis response operations and the rigidity of workflow modelling languages are two things that do not go well together. A recent alternative approach to workflow management systems that allows for more flexibility is the iTask system. It uses an embedded functional language for the specification of workflow models that integrates control-flow with data-flow in dynamic data-dependent workflow specifications. Although there is a variety of publications about the iTask workflow definition language (WDL) and its implementation, its applications have been limited to academic toy examples. To explore the iTasks WDL for crisis response applications, we have developed an iTask specification of the Search And Rescue (SAR) workflow of the Netherlands Coast Guard. In this specification we capture the mix of standard procedures and creative improvisation of which a SAR operation exists.
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Linda Plotnick, Starr Roxanne Hiltz, Jane A. Kushma, & Andrea Tapia. (2015). Red Tape: Attitudes and Issues Related to Use of Social Media by U.S. County-Level Emergency Managers. 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: Social media are ubiquitous in modern society. Among their uses are to provide real-time information during crisis. One might expect that emergency management agencies in the U.S. make use of social media extensively to disseminate and collect crisis information as that is where the information flows most freely and quickly; yet, these agencies are not fully exploiting the capabilities of social media. A survey of 241 U.S. emergency managers at the county level shows that only about half of these agencies use social media in any way as of 2014. Most do not have any formal policies to guide their use. Of those that do have formal policies, about one quarter actually forbid the use of social media. This study describes the barriers that impede use of social media by these emergency managers, and the ways in which they are currently used, and recommends steps to improve this use.
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Lindhagen, A., Björnqvist, A., & Berggren, P. (2023). Supporting Instructors in Conducting Exercises. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 721–731). Omaha, USA: University of Nebraska at Omaha.
Abstract: Planning, designing, facilitating, and evaluating are central activities for instructors when conducting exercises. When conducting these activities, instructors usually rely on past experiences since structured educations or guides for instructors do not exist. It is therefore evident that there is a need for such educations or guides. In this study, the contents of a guide for instructors are proposed. The contents are based on seven semi-structured interviews with novel and experienced instructors, where they were asked to map their procedures for conducting exercises through a journey map. The interviews resulted in material which was transcribed and analysed using a thematic analysis. The thematic analysis emphasized five themes to consider when acting as an instructor, namely roles, realism, defining purpose and goals, learning, and planning and acting. The results from the interviews, combined with past literature, resulted in proposed contents for an instructor’s guide which is currently being developed.
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Lise Ann St. Denis, Amanda Lee Hughes, Jeremy Diaz, Kylen Solvik, Maxwell B. Joseph, & Jennifer K. Balch. (2020). 'What I Need to Know is What I Don't Know!': Filtering Disaster Twitter Data for Information from Local Individuals. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 730–743). Blacksburg, VA (USA): Virginia Tech.
Abstract: We report on the design, development, and evaluation of a user labeling framework for social media monitoring by emergency responders. By labeling Twitter user accounts based on behavior and content, this novel approach identifies tweets from accounts belonging to Individuals generating Personalized content and captures information that might otherwise be missed. We evaluate the framework using training data from the 2018 Camp, Woolsey, and Hill fires. Approximately 30% of the Individual-Personalized tweets contain first-hand information, providing a rich stream of content for social media monitoring. Because it can quickly eliminate most redundant tweets, this framework could be a critical first step in an end-to-end information extraction pipeline. It may also generalize more easily for new disaster events since it relies on general user account attributes rather than tweet content. We conclude with next steps for refining and evaluating our framework in near real-time during a disaster response.
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Shuming Liu, Christopher Brewster, & Duncan Shaw. (2013). Ontologies for crisis management: A review of state of the art in ontology design and usability. 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. 349–359). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The growing use of a variety of information systems in crisis management both by non-governmental organizations (NGOs) and emergency management agencies makes the challenges of information sharing and interoperability increasingly important. The use of semantic web technologies is a growing area and is a technology stack specifically suited to these challenges. This paper presents a review of ontologies, vocabularies and taxonomies that are useful in crisis management systems. We identify the different subject areas relevant to crisis management based on a review of the literature. The different ontologies and vocabularies available are analysed in terms of their coverage, design and usability. We also consider the use cases for which they were designed and the degree to which they follow a variety of standards. While providing comprehensive ontologies for the crisis domain is not feasible or desirable there is considerable scope to develop ontologies for the subject areas not currently covered and for the purposes of interoperability.
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Lixiong Chen, Monika Buscher, & Yang Hu. (2020). Crowding Out the Crowd:The Transformation of Network Disaster Communication Patterns on Weibo. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 472–489). Blacksburg, VA (USA): Virginia Tech.
Abstract: There is a surge in people turning to social media in disasters in China. In the 2010 Yushu earthquake, 5,979 Weibos were posted. Almost 10 years on, in the 2019 Yibin earthquake it was 17,495. This study presents a Social Network Analysis of the dynamics of this growth, taking the six major Chinese earthquakes of this decade as a case study. By constructing relationship matrices, the research reveals a transformation of networked crisis communication patterns on Weibo. We show how communication relationships between verified organisational users, government agencies, verified individual users (such as celebrities) and unverified ordinary users have changed, and we observe that government agencies are 'crowding out the crowd' of other users. We consider key aspects and the ethical complexities of this phenomenon.
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Liz Bacon, Lachlan MacKinnon, Avgoustinos Filippoupolitis, & David Kananda. (2016). Design of an Immersive Online Crisis Preparation Learning Environment. 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 paper describes the design and development of an online immersive learning environment focused on supporting the general public in awareness of, and preparation for, crisis situations. The system developed uses the PANDORA+ training environment, and integrates prior research work carried out on eLearning and Crisis Management. Specifically, it pulls together the outputs of three European funded research projects, described in the paper, which provided the authors with a rich multimedia, immersive training environment for crisis managers, experience in the management and support of a large, distributed learning exercise through a MOOC, and extensive survey information on general population awareness of crisis responses and attitudes to crisis preparation. Based on these outputs, the authors are using the PANDORA+ training environment both as a field event support tool and as a MOOC platform, to support large-scale general public crisis preparation training.
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Loïc Bidoux, Jean-Paul Pignon, & Frédérick Bénaben. (2017). On the use of automated planning for crisis management. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 996–1007). Albi, France: Iscram.
Abstract: Automated planning is a domain of Artificial Intelligence which aims to study the deliberation process used to choose and organize actions by anticipating their expected outcomes. In this paper, we discuss the use of automated planning techniques in crisis management contexts. To begin with, the crisis management planning problem is formalized in light of the conceptual model for automated planning. In addition, we describe the conceptual scheme of an information system generating action plans in order to support decision-makers in crisis management. Finally, a proof of concept implementation of the aforementioned system is presented.
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Long, Z., McCreadiem, R., & Imran, M. (2023). CrisisViT: A Robust Vision Transformer for Crisis Image Classification. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 309–319). Omaha, USA: University of Nebraska at Omaha.
Abstract: In times of emergency, crisis response agencies need to quickly and accurately assess the situation on the ground in order to deploy relevant services and resources. However, authorities often have to make decisions based on limited information, as data on affected regions can be scarce until local response services can provide first-hand reports. Fortunately, the widespread availability of smartphones with high-quality cameras has made citizen journalism through social media a valuable source of information for crisis responders. However, analyzing the large volume of images posted by citizens requires more time and effort than is typically available. To address this issue, this paper proposes the use of state-of-the-art deep neural models for automatic image classification/tagging, specifically by adapting transformer-based architectures for crisis image classification (CrisisViT). We leverage the new Incidents1M crisis image dataset to develop a range of new transformer-based image classification models. Through experimentation over the standard Crisis image benchmark dataset, we demonstrate that the CrisisViT models significantly outperform previous approaches in emergency type, image relevance, humanitarian category, and damage severity classification. Additionally, we show that the new Incidents1M dataset can further augment the CrisisViT models resulting in an additional 1.25% absolute accuracy gain.
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