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Quynh Nhu Nguyen, Antonella Frisiello, & Claudio Rossi. (2019). The Design of a Mobile Application for Crowdsourcing in Disaster Risk Reduction. 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: Disaster Risk Reduction is a complex field in which a huge amount of data is collected and processed every day
in order to plan and run preparedness and response actions, which are required to get ready and to effectively
respond to natural disasters when they strike. This paper, which targets a wide audience, focuses on the design of
a mobile application that aims to integrate the crowdsourcing paradigm in current Disaster Risk Reduction
processes. The design process is integrated in the User Centred Approach, which we apply through a co-design
methodology involving end-users, iterative prototyping and development phases, and five in-field evaluations of
the implemented solution. We describe both the design activities and the results obtained from end-users�
feedbacks focusing on the perspective of first responders.
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Jaziar Radianti, Julie Dugdale, Jose J. Gonzalez, & Ole-Christoffer Granmo. (2014). Smartphone sensing platform for emergency management. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 379–383). University Park, PA: The Pennsylvania State University.
Abstract: The increasingly sophisticated sensors supported by modern smartphones open up novel research opportunities, such as mobile phone sensing. One of the most challenging of these research areas is context-aware and activity recognition. The Smart Rescue project takes advantage of smartphone sensing, processing and communication capabilities to monitor hazards and track people in a disaster. The goal is to help crisis managers and members of the public in early hazard detection, prediction, and in devising risk-minimizing evacuation plans when disaster strikes. In this paper we suggest a novel smartphone-based communication framework. It uses specific machine learning techniques that intelligently process sensor readings into useful information for the crisis responders. Core to the framework is a content-based publish-subscribe mechanism that allows flexible sharing of sensor data and computation results. We also evaluate a preliminary implementation of the platform, involving a smartphone app that reads and shares mobile phone sensor data for activity recognition.
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Murali Raman, Magiswary Dorasamy, Saravanan Muthaiyah, & Maniam Kaliannan. (2014). Web-based community disaster management and awareness system (CEMAS) in Malaysia. 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. 384–393). University Park, PA: The Pennsylvania State University.
Abstract: Emergency situations are unavoidable. This paper presents the functions inherent in a prototype system that was developed in Malaysia for emergency management. The prototype is potentially useful in Selangor, a state in Malaysia that is prone to natural disasters such as flash floods and landslides. The paper is presented as a report of our on-going project in Malaysia and the intended future work regarding web-based emergency management systems in Malaysia. This prototype development is funded by the Ministry of Education in Malaysia and supported by the National Security Council of Malaysia (Majilis Keselamatan Negara, MKN).
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Randal A. Collins. (2023). Adaptation: A Proposal to Replace Recovery in the Phases of Emergency Management. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 130–137). Palmerston North, New Zealand: Massey Unversity.
Abstract: Mitigation, preparedness, response, and recovery are the four phases of emergency management that have arguably been unchanged since their inception nearly 43 years ago. This paper proposes to replace recovery with adaptation as the post incident phase of emergency management. Recovery focuses on a return to normal while adaptation better encompasses acknowledgement, healing, strengthening, and improving quality of life for a more resilient outcome. This paper reviews seminal work within emergency management and work pertaining to other types of adaptation to better comprehend adaptation as applied to emergency management.
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Wolfgang Raskob, Valentin Bertsch, Jutta Geldermann., Sandra Baig, & Florian Gering. (2005). Demands to and experience with the decision support system rodos for off-site emergency management in the decision making process in Germany. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 269–278). Brussels: Royal Flemish Academy of Belgium.
Abstract: Emergency situations, man-made as well as natural, can differ considerably. However, they share the characteristic of sudden onset, involve complex decisions and necessitate a coherent and effective emergency management. In the event of a nuclear or radiological accident in Europe, the real-time on-line decision support system RODOS provides support from the early phase through to the medium and long-term phases. This paper describes the demands to a Decision Support System from a user-centred view as well as experiences gained from conducting moderated decision making workshops based on a hypothetical accident scenario focusing on the evaluation of long-term countermeasures using the simulation capabilities of the RODOS system and its recently integrated evaluation component Web-HIPRE, a tool for multi-criteria decision analysis (MCDA).
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Renán T. Rodríguez, & Víctor A. Bañuls. (2023). Challenges of Emergency Management Digital Transformation in Industrial Parks. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 196–203). Palmerston North, New Zealand: Massey Unversity.
Abstract: Industrial parks are economic drivers of the cities where they are located. These parks are constantly at risk of catastrophe due to the diversity of industries and the dangerous materials used in their production processes. Despite this constant threat, there is a digitization shortfall in the emergency management process in industrial parks. This research paper seeks to describe the importance of digital transformation in industrial parks, as well as, how information systems can contribute to proper emergency management. Based on the preliminary analysis of the literature, it was possible to determine how the implementation of an emergency system would facilitate the prevention of catastrophes according to the analysis of scenarios, simulation, management, and proper coordination of emergencies in real-time. However, the proper functioning of this system depends on the implementation of environmental innovation, exploration, and observation skills, without neglecting the commitment of organizations and their material, human and technological resources to achieve a significant change.
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Richard McCreadie, Cody Buntain, & Ian Soboroff. (2019). TREC Incident Streams: Finding Actionable Information on Social Media. 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: The Text Retrieval Conference (TREC) Incident Streams track is a new initiative that aims to mature social
media-based emergency response technology. This initiative advances the state of the art in this area through an
evaluation challenge, which attracts researchers and developers from across the globe. The 2018 edition of the track
provides a standardized evaluation methodology, an ontology of emergency-relevant social media information types,
proposes a scale for information criticality, and releases a dataset containing fifteen test events and approximately
20,000 labeled tweets. Analysis of this dataset reveals a significant amount of actionable information on social
media during emergencies (> 10%). While this data is valuable for emergency response efforts, analysis of the
39 state-of-the-art systems demonstrate a performance gap in identifying this data. We therefore find the current
state-of-the-art is insufficient for emergency responders? requirements, particularly for rare actionable information
for which there is little prior training data available.
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Richard McCreadie, Cody Buntain, & Ian Soboroff. (2020). Incident Streams 2019: Actionable Insights and How to Find Them. 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. 744–760). Blacksburg, VA (USA): Virginia Tech.
Abstract: The ubiquity of mobile internet-enabled devices combined with wide-spread social media use during emergencies is posing new challenges for response personnel. In particular, service operators are now expected to monitor these online channels to extract actionable insights and answer questions from the public. A lack of adequate tools makes this monitoring impractical at the scale of many emergencies. The TREC Incident Streams (TREC-IS) track drives research into solving this technology gap by bringing together academia and industry to develop techniques for extracting actionable insights from social media streams during emergencies. This paper covers the second year of TREC-IS, hosted in 2019 with two editions, 2019-A and 2019-B, contributing 12 new events and approximately 20,000 new tweets across 25 information categories, with 15 research groups participating across the world. This paper provides an overview of these new editions, actionable insights from data labelling, and the automated techniques employed by participant systems that appear most effective.
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Rob Grace. (2020). Hyperlocal Toponym Usage in Storm-Related Social Media. 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. 849–859). Blacksburg, VA (USA): Virginia Tech.
Abstract: Crisis responders need to locate events reported in social media messages that typically lack geographic metadata such as geotags. Toponyms, places names referenced in messages, provide another source of geographic information, however, the availability and granularity of toponyms in crisis social media remain poorly understood. This study examines toponym usage and granularity across six categories of crisis-related information posted on Twitter during a severe storm. Findings show users often include geographic information in messages describing local and remote storm events but do so rarely when discussing other topics, more often use toponyms than geotags when describing local events, and tend to include fine-grained toponyms in reports of infrastructure damage and service disruption and course-grained toponyms in other kinds of storm-related messages. These findings present requirements for hyperlocal geoparsing techniques and suggest that social media monitoring presents more immediate affordances for course-grained damage assessment than fine-grained situational awareness during a crisis.
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Rob Grace, & Michelle Potts. (2022). Opportunities for Multisensor Integration in Public-Safety Answering Points. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 895–904). Tarbes, France.
Abstract: Public-Safety Answering Points (PSAPs) coordinate emergency response by gathering critical information from 911 callers for dispatch to first responders. However, PSAPs fail to gather this information if 911 callers are unable, unwilling, or unavailable to report key details about an emergency. To address this problem, early-adopter PSAPs employ communication specialists to gather multimedia information from multiple sensing tools, including automated alarms, cameras, government databases, location systems, open-source websites, social media, and alternative communication channels such as text-to-911. Using preliminary usage data from an early- adopter PSAP, this study identifies 11 breakdowns in 911 call taking that create opportunities for multisensor integration. This study then characterizes use cases for multisensor tools based on usage patterns observed across five incident types. These findings highlight multisensor integration as a critical area for crisis informatics research.
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Rob Grace, Jess Kropczynski, & Andrea Tapia. (2018). Community Coordination: Cooperative Uses of Social Media in Community Emergency Management. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 609–620). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Emergency managers continue to struggle with a lack of staff, information processing tools, and sufficient trust in citizen-reported information to coordinate the use of social media in their communities. To understand possibilities for overcoming these barriers, we conduct interviews with emergency managers using scenarios describing the projective activities of community volunteers disseminating and monitoring social media. We find that coordinating social media use in communities requires alignments with local incident management systems and, in particular, existing sociotechnical infrastructure for managing citizen-reported information. These alignments open limited roles for community volunteers, notably coordinating the redistribution of official information; and stand to reshape the workflows and infrastructures of incident management systems by pushing emergency dispatchers to proactively process indirect reports of incidents obtained on social media, and integrate tools that can access hyperlocal data, curate incident and situational reports, and facilitate sensemaking among officials confronted with multiple information sources.
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Rob Grace, Sanjana Gautam, & Andrea Tapia. (2023). Continuity of Operations Planning in Public-Safety Answering Points during the COVID-19 Pandemic. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 173–180). Palmerston North, New Zealand: Massey Unversity.
Abstract: Continuity of Operations (COOP) planning helps ensure that municipal agencies maintain essential functions when disasters threaten critical infrastructures. COOP planning is especially important for Public-Safety Answering Points (PSAPs), which must continue to answer 911 calls and dispatch first responders during crises. However, COOP planning guidelines often focus on threats to cyber-physical infrastructures rather than outbreaks of infectious disease that threaten the human work arrangements—social infrastructures—agencies rely on to perform essential functions. This study reports preliminary findings from interviews with U.S. PSAP officials who developed plans to decentralize 911 facilities, networks, and personnel to maintain essential functions during the COVID-19 pandemic. These findings suggest revisions to COOP planning guidelines that consider requirements for redundant, diverse, and interdependent cyber-physical-social infrastructures.
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Roberto Ferreira Júnior, Paulo Victor R. de Carvalho, Salman Nazir, José Orlando Gomes, & Gilbert Jacob Huber. (2016). Assessment Team Decision-Making: One Way to Assess the Multi-Criteria Decision-Making Based on Observation. 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: Decision-making has been a subject actively investigated in several areas of knowledge such as Philosophy, Economics, Psychology, Computer Science, among others. This paper explores the potential opportunities offered by two methodologies to assess the team decision-making at the end of a simulated exercise (training). We present a case study showing how to measure the team decision-making combining both methodologies to assess a team of three experienced Officers from the Military Fire Brigade of the State of Rio de Janeiro. The simulated exercise was carried out within the Integrated Center of Command and Control of Rio de Janeiro. We intend this study provide a pathway that can be helpful in reducing the subjectivity generated during the observation of the team decision-making in Emergency Management environments.
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Anthony C. Robinson, Robert E. Roth, & Alan M. MacEachren. (2010). Challenges for map symbol standardization in crisis management. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: A wide range of local, regional, and federal authorities will generate maps to help respond to and recover from a disaster. It is essential that map users in an emergency situation can readily understand what they are seeing on these maps. Standardizing map symbology is one mechanism for ensuring that geospatial information is interpretable during an emergency situation, but creating an effective map symbol standard is a complex and evolving task. Here we present preliminary results from research into the application of the ANSI 415-2006 INCITS Homeland Security Map Symbol Standard, a point symbol standard intended to support emergency management mapping for the U.S. Department of Homeland Security. This standard has so far not been widely adopted across the full range of DHS missions, and we elaborate on key issues and challenges that should be accounted for when developing future map symbol standards for crisis management.
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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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Eli Rohn. (2007). A survey of schema standards and portals for emergency management and collaboration. 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. 263–269). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: We survey several emergency management related data structures and portals designed or adopted by standard bodies such as Organization for the Advancement of Structured Information Standards (OASIS) and Institute of Electrical and Electronics Engineers (IEEE), as well as standards designed or adopted by government agencies in the US and in the UK. The survey is by no means an exhaustive list of such standards and portals, but it gives a fair representation of the current state of affairs and resources to practitioners and researchers alike.
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Marco Romano, Teresa Onorati, Paloma Díaz, & Ignacio Aedo. (2014). Improving emergency response: Citizens performing actions. 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. 170–174). University Park, PA: The Pennsylvania State University.
Abstract: The role of common citizens within the emergency management (EM) process is crucial in order to support efficiently the operators' activities during the response phase. Moreover, their participation is strictly related to their profile and their experience in previous events. In a previous contribution we identified the different roles that the citizens can play for an effective cooperation with the EM workers. In this paper, we introduce an emergency tool based on a mobile application designed to support the activities of the citizens acting as Agent. The Agents have specific capabilities recognized by the EM Operation Center (OC) to execute actions under the remote supervision of the EM operators. The proposed tool allows the Agents to receive information from the OC and to visualize it through an advanced visualization modality. In particular, available information is previously collected by the center from the witnesses and the affected people that have alerted about it.
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Heiko Roßnagel, & Olaf Junker. (2010). Evaluation of a mobile emergency management system – A simulation approach. 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: Large public events such as sporting events, concerts, fairs and street festivals are quite common in metropolitan areas. Because of the high frequency of such events and the increasing number of involved parties, those being responsible for the organization and execution have to cope with increasing complexity and shortening time frames for planning and preperation. Because of the high concentration of passengers, unplanned incidents that occur during these public events can have devastating effects and can lead to crises and disasters. Emergency management systems that utilize mobile communication infrastructures can provide prompt information delivery to save human lives. In this paper we propose a system design for mobile emergency management and outline our approach of evaluating this system design using multi-agent based simulation. To make our simulation of passenger movements as realistic as possible we gathered empirical data for a large event as well as for normal rush hour traffic.
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Maria A. Santos, António Gonçalves, Sandra Silva, Nuno Charneca, & Miguel Gamboa. (2004). Dam break emergency response Information System. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 27–32). Brussels: Royal Flemish Academy of Belgium.
Abstract: Although considered of low risk, incidents with dams may cause significant damage both directly and indirectly. Direct losses are usually easier to assess (assuming human lives are quantifiable), but indirect losses are difficult to measure and may take some time before the original situation is restored. Disaster prevention and vulnerability reduction have been topics of major concern in many local, national or international organisations for some years. These can be accomplished through emergency management which begins with hazard identification and planning for disaster mitigation but encompasses other activities as risk analysis, risk response and recovery. Therefore, an emergency management system with capacity to: i) forecast critical situations; ii) warn the population as well as the authorities; and iii) support the civil protection system to deal with an emergency, is a most helpful tool to minimize the impact of an accident. The Information System described herein fulfils mainly the third objective, i.e. it is intended to help the Civil Protection System in Portugal, to respond to an emergency caused by the failure of a dam. It is an Internet-based application, which integrates all relevant data for the implementation of a dam emergency plan. These data include the main characteristics of the dam and its reservoir, the character-isation of the dam downstream valley as well as the response procedures to be followed in an emergency. © Proceedings ISCRAM 2004.
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Cláudio Sapateiro, & Pedro Antunes. (2009). An emergency response model toward situational awareness improvement. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: When facing emergency scenarios, several contingent factors may strongly condition the pre-defined response procedures. The proposed approach takes the perspective that an emergency response tool may guide the response effort. The tool adopts a conceptual model grounded on existing situation awareness models and research work done with High Reliability Organizations. The model structures the emergency management process in a set of dimensions that should be collaboratively correlated by the involved participants in order to mitigate the disruptive situation. An instantiation of the proposed approach is also described in the paper, focusing on IT service desk teams addressing emergency incidents that may compromise business continuity.
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Axel Schulz, Heiko Paulheim, & Florian Probst. (2012). Crisis information management in the Web 3.0 age. 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 effectiveness of emergency response largely depends on having a precise, up-to-date situational picture. With the World Wide Web having evolved from a small read-only text collection to a large-scale collection of socially created data accessible both to machines and humans alike, with the advent of social media and ubiquitous mobile applications, new sources of information are available. Currently, that potentially valuable information remains mostly unused by the command staff, mainly because the sheer amount of information cannot be handled efficiently. In this paper, we show an approach for turning massive amounts of unstructured citizen-generated content into relevant information supporting the command staff in making better informed decisions. We leverage Linked Open Data and crowdsourcing for processing data from social media, and we show how the combination of human intelligence in the crowd and automatic approaches for enhancing the situational picture with Linked Open Data will lead to a Web 3.0 approach for more efficient information handling in crisis management. © 2012 ISCRAM.
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Axel Schulz, Tung Dang Thanh, Heiko Paulheim, & Immanuel Schweizer. (2013). A fine-grained sentiment analysis approach for detecting crisis related microposts. 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. 846–851). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Real-time information from microposts like Twitter is useful for applications in the crisis management domain. Currently, that potentially valuable information remains mostly unused by the command staff, mainly because the sheer amount of information cannot be handled efficiently. Sentiment analysis has been shown as an effective tool to detect microposts (such as tweets) that contribute to situational awareness. However, current approaches only focus on two or three emotion classes. But using only tweets with negative emotions for crisis management is not always sufficient. The amount of remaining information is still not manageable or most of the tweets are irrelevant. Thus, a more fine-grained differentiation is needed to identify relevant microposts. In this paper, we show the systematic evaluation of an approach for sentiment analysis on microposts that allows detecting seven emotion classes. A preliminary evaluation of our approach in a crisis related scenario demonstrates the applicability and usefulness.
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Sebastian Schmitz, Konrad Barth, Tim Brüstle, Tobias Gleibs, & Ompe Aimé Mudimu. (2019). Testing the implementation of a flying localization system into emergency response using a tabletop exercise. 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: To optimize the search for trapped victims after building collapses, the authors participated in the development ofI a localization system based on an unmanned aerial vehicle. The objective of this study is to evaluate an approach to implement this system into the command and control structures during the emergency response after a building collapse. For this purpose, a tabletop exercise, based on a gas explosion scenario in an apartment building, was carried out with emergency response managers of the fire department and the German federal agency of technical relief. Observers have documented the exercise. Additionally, audio and video recordings were used. Thus, statements could be made about the implementation approach and the tabletop exercise method. Based on the results, the implementation approach can be considered appropriate. In addition, knowledge was gained about the appropriateness of tabletop exercises for the purpose of scientific evaluation.
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Aviv Segev. (2008). Adaptive ontology use for crisis knowledge representation. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 285–293). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: While a crisis requires quick response of emergency management factors, ontology is generally represented in a static manner. Therefore, an adaptive ontology for crisis knowledge representation is needed to assist in coordinating relief efforts in different crisis situations. The paper describes a method of ontology modeling that modifies the ontology in real time during a crisis according to the crisis surroundings. An example of ontology use based on a sample Katrina crisis blog is presented.
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Seungwon Yang, Haeyong Chung, Xiao Lin, Sunshin Lee, Liangzhe Chen, Andrew Wood, et al. (2013). PhaseVis1: What, when, where, and who in visualizing the four phases of emergency management through the lens of social media. 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. 912–917). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The Four Phase Model of Emergency Management has been widely used in developing emergency/disaster response plans. However, the model has received criticism contrasting the clear phase distinctions in the model with the complex and overlapping nature of phases indicated by empirical evidence. To investigate how phases actually occur, we designed PhaseVis based on visualization principles, and applied it to Hurricane Isaac tweet data. We trained three classification algorithms using the four phases as categories. The 10-fold cross-validation showed that Multi-class SVM performed the best in Precision (0.8) and Naïve Bayes Multinomial performed the best in F-1 score (0.782). The tweet volume in each category was visualized as a ThemeRiver[TM], which shows the 'What' aspect. Other aspects – 'When', 'Where', and 'Who' – Are also integrated. The classification evaluation and a sample use case indicate that PhaseVis has potential utility in disasters, aiding those investigating a large disaster tweet dataset.
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