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Dick Ooms, & Willem-Jan Van Den Heuvel. (2012). Business not as usual: Civil-military interactionfrom an e-business perspective. 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: In peace support operations, military and civil actors are often cooperating in international coalitions. In such operations, effective and efficient coordination and information sharing is a prerequisite for effective Civil-Military Interaction (CMI), but the literature shows that this still leaves much room for improvement. Most research in this area takes a behavioral-science approach. We argue that existing research could be complemented with a design-science approach, which is an Information Systems problem-solving paradigm with its roots in engineering. After developing a high level CMI information exchange model and identifying inhibitors for information exchange, this paper provides a comparison between CMI in peace support operations and the collaboration of commercial enterprises using the e-Business paradigm. Based on observed similarities, the paper argues that the enabling technology for e-Business could overcome current inhibitors for effective and efficient information exchange for CMI in peace support operations, and is complementary to other mechanisms for information exchange. © 2012 ISCRAM.
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Babajide Osatuyi, & Michael J. Chumer. (2010). An empirical investigation of alert notifications: A temporal analysis 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: As the deployment of situational awareness mechanisms such as geothermal sensors, use of social network sites, and information and communication technologies (e.g., cell phones) become increasingly widespread to emergency responders, the problem of alert analysis has become very important. Broadcast of large amounts of alerts sent back to command centers for processing may impair the ability of analysts to connect dots that may otherwise adequately enable them to make informed decisions in a timely fashion. This paper investigates trends and patterns embedded in alert notifications generated over a given period of time in order to uncover correlations that may exist in the data. Data for this study are obtained from the National Center for Crisis and Continuity Coordination (NC4). We employ classical time series analysis to understand, explain and predict trends and patterns in the data. This work presents results obtained thus far in the quest for the effect of passage of time on alert patterns. Implications of this work in practice and research are discussed.
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Kamil Panitzek, Immanuel Schweizer, Dirk Bradler, & Max Mühlhäuser. (2011). City mesh – Resilient first responder communication. 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: Communication between first responders is vital to the success of large scale disaster management. But communication technologies used by first responders today do not scale well due to heterogeneity, point-topoint connections, and centralized communication structures. As the popularity of devices equipped with Wi-Fi grows, the number of access points (APs) in city centers increases as well. This communication infrastructure exists and should be used in city wide disasters as it is readily available in areas with high population density. In this paper, we investigate Wi-Fi access points in 5 major cities deployed in stores, bars, and restaurants. We want to answer the question if these APs can be used as a mesh networking backbone in disaster response. The main contributions of this paper are (i) the surveyed and analyzed public Wi-Fi layout of five major cities and (ii) the connectivity analysis of the city wide network topology.
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Kamil Panitzek, Tobias Bönning, Immanuel Schweizer, Gero Seipel, & Max Mühlhäuser. (2012). Enhancing robustness of first responder communication in urban environments. 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: Communication is crucial for first responders. Crisis management is nearly impossible without good means of communication. Unfortunately the communication technology used by first responders today does not scale well. Also most of the given infrastructure, such as cell towers, might be destroyed. In recent research ad-hoc and peer-to-peer based communication has been proposed to solve the problem of resilient communication. Most mobile devices are equipped with wireless transceivers that make them suitable to participate in ad-hoc networks. But node density might be too small for a connected topology. In this paper we, therefore, discuss the implications of an emergency switch for private wireless routers allowing them to transition to an emergency mode to create a supportive wireless mesh network. To analyze if such a network would result in a resilient topology real data from wireless routers in a city is gathered. We calculate the locations of private and public routers from GPS traces and compare the resulting networks with each other. © 2012 ISCRAM.
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David Passenier, Colin Mols, Jan Bím, & Alexei Sharpanskykh. (2013). Understanding crises: Investigating organizational safety culture by combining organizational ethnography and agent modeling. 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. 566–570). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: This paper presents a novel, advanced research approach to investigate organizational safety culture as a complex phenomenon, combining agent modeling and organizational ethnography. Safety culture is an emergent property of organizations that largely influences the resilience of organizational responses in crisis situations. However, theory describing the precise ways in which safety culture influences resilience is lacking. Thus the first step is to understand how safety culture gradually emerges from interactions between formal and informal organizational processes. The paper explains the proposed research methodology illustrated by a case of an aircraft maintenance organization. A preliminary analysis is performed from which a conceptual model is derived, and the subsequent simulation and automated analytical techniques that will be used to validate the model and gain new insights are explained.
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Marius J. Paulikas, Andrew Curtis, & Thomas Veldman. (2014). Spatial video street-scale damage assessment of the Washington, Illinois Tornado of 2013. 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. 329–333). University Park, PA: The Pennsylvania State University.
Abstract: This paper advances a growing body of mobile mapping work which captures building scale tornado damage in order to reveal vulnerabilities, or protections, within an otherwise apparently homogenous damage path. The hope is to find how micro geography, or built environment structure patterning might lead to policy advances with regards to rebuilding of critical infrastructure in tornado prone areas. This paper will use spatially encoded video to record damage patterns for the Washington, Illinois tornado of November 17, 2013. What makes this event notable is the location and time of year which can be considered outside the norm. Individual building damage data are coded using the Tornado Injury Scale (TIS) and then analyzed using two forms of local area spatial analysis – a Getis-Ord (Gi) z-score analysis to identify hotspots of damage, and a Local Moran's I to identify building outliers within hotspots.
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Pengfei Zhou, Tao Chen, Guofeng Su, Bingxu Hou, & Lida Huang. (2020). Research on the Forecasting and Risk Analysis Method of Snowmelt Flood. 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. 545–557). Blacksburg, VA (USA): Virginia Tech.
Abstract: Risk analysis of snowmelt flood is an urgent demand in cold highland areas. This paper focuses on the method for the rapid and reliable forecast of daily snowmelt, snow water runoff, and snowmelt flood risk. A neural network algorithm is used to calculate snow density distribution, snow depth and snow-water equivalent with the brightness temperature data. Then, daily snowmelt is predicted using the degree-day factor method with the temperature distribution. On this basis, we use the steepest descent method and Manning formula with hydrographic information to simulate snow water runoff. We also propose a method to predict the snowmelt flood risk with the geographic feature and historical flood data. The evaluated risk is compared with monitored data in the Xinjiang Autonomous Region of China, which shows good consistency. At last, we develop a risk analysis system to generate the snowmelt flood risk map and provide risk analysis service.
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Pettersson, M. N., Axelsson, J., Svenson, P., & Johansson, A. (2023). Towards a Risk Analysis Method for Systems of Systems: A Case Study on Wildfire Rescue Operations. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 530–545). Omaha, USA: University of Nebraska at Omaha.
Abstract: Crisis management (CM) is facing new challenges due to the increasing complexity of contemporary society. To mitigate a crisis, it is often necessary for a collection of independent systems, people, and organizations to cooperate. These collaborating entities constitute an interconnected socio-technical system of systems (SoS). An important question is how a CM SoS should be constructed to minimize the risk of failure and accurately handle a crisis. SoS pose new challenges in analysing risk during interactions. This paper investigates whether the risk analysis method STAMP (System-Theoretic Accident Model and Processes) is suitable for SoS, using a forest fire rescue operation case study. Results show characteristics of various risk sources and identify some SoS characteristics, such as dynamic structure and latent risks, that are not sufficiently handled in STAMP. The study further contributes to the body of knowledge by presenting potential directions for research on SoS risk assessment methods.
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Jens Pottebaum, Anna Maria Japs, Stephan Prödel, & Rainer Koch. (2010). Design and modeling of a domain ontology for fire protection. 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 semantics of things represent the central problem of the heterogeneous domain of emergency response. Both the communication between human actors and the interface between information systems face this hurdle with high impact on the efficiency in mission and time critical command and control processes. The integration of applications and information sharing based on semantic technologies promise added value for a solution to this problem. Therefore a model of the domain is essential; this paper contributes a domain ontology for fire protection. The scientific discussion as well as expert interviews built the basis for a new modeling approach. The selection of ontology languages is one of the important design issues presented in this paper.
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Raj Prasanna, Lili Yang, & Malcolm King. (2009). GDIA: A cognitive task analysis protocol to capture the information requirements of emergency first responders. 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: As a partial requirement of the development of an information system for the UK fire and rescue services, this paper describes the development and application of a protocol capable of capturing the information requirements of fire and rescue first responders. After evaluating the existing techniques commonly used in difficult decision-making environments, a Goal Directed Information Analysis (GDIA) protocol is proposed. The clearly defined, repeatable steps of GDIA make it a requirements-gathering protocol which can be easily administered by an investigator without any prior knowledge or experience of the tool. This makes GDIA one of the very few information requirements-gathering protocols capable of capturing the requirements of the emergency-related domains.
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Pär Hans Tuve Eriksson, & Niklas Hallberg. (2019). Design to Fit – Morphological Analysis as a Tool for Exercise Design. 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: Exercises are considered as vital to develop and sustain crisis management capabilities. An exercise may have a role both as a provider of knowledge about the crisis management system, and its performance, and as a driver of change through training of individuals, groups and organizations. However, the relationship between the design and characteristics of a specific exercise, and the usability of its results in the development of the crisis management system is not well-understood. The objective of this paper is to explore if a morphological field can be used to investigate this relationship. Such a field was designed and evaluated. Even though this field was relatively simple, it was concluded that it provides results that deepen the understanding of how different types of exercises can contribute to the development of the crisis management system.
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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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Tom Ritchey. (2006). Modeling multi-hazard disaster reduction strategies with computer-Aided morphological analysis. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 339–346). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Disaster Risk Management (DRM) is a multi-dimensional problem complex requiring knowledge and experience from a wide range of disciplines. It also requires a methodology which can collate and organize this knowledge in an effective, transparent manner. Towards this end, seven specialists from the social, natural and engineering sciences collaborated in a facilitated workshop in order to develop a prototype multi-hazard disaster reduction model. The model, developed with computer-Aided morphological analysis (MA), makes it possible to identify and compare risk reduction strategies, and preparedness and mitigation measures, for different types of hazards. Due to time constraints, the model is neither complete nor accurate-but only represents a proof-of-principle. The workshop was sponsored by the Earthquake Disaster Mitigation Research Center (EDM) in Kobe, in January, 2005.
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Anthony C. Robinson, Alexander Savelyev, Scott Pezanowski, & Alan M. MacEachren. (2013). Understanding the utility of geospatial information in 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. 918–922). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Crisis situations generate tens of millions of social media reports, many of which contain references to geographic features and locations. Contemporary systems are now capable of mining and visualizing these location references in social media reports, but we have yet to develop a deep understanding of what end-users will expect to do with this information when attempting to achieve situational awareness. To explore this problem, we have conducted a utility and usability analysis of SensePlace2, a geovisual analytics tool designed to explore geospatial information found in Tweets. Eight users completed a task analysis and survey study using SensePlace2. Our findings reveal user expectations and key paths for solving usability and utility issues to inform the design of future visual analytics systems that incorporate geographic information from social media.
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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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Jan Rudinsky, & Ebba Thora Hvannberg. (2011). Consolidating requirements analysis models for a crisis management training simulator. 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 presents a requirements model of the activities of the response phase of a crisis management simulator. The model was constructed based on three types of incidents in three different countries, and it derives from extensive requirements elicitations in meetings, field visits and workshops with a broad range of stakeholders from multiple agencies. A second contribution of the paper is the application of work model consolidation and lessons learned therefrom. A third contribution of the paper is an analysis of the similarities and differences of three different crisis management systems in the transport sector in three different European countries.
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Anne-Francoise Rutkowski, Willem Van Groenendaal, Bartel A. Van De Walle, & Jan Pol. (2004). Decision support technology to support risk analysis and disaster recovery plan formulation: Towards IT and business continuity. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 127–132). Brussels: Royal Flemish Academy of Belgium.
Abstract: The paper presents a four-phase action research project that was (and still is) conducted at the department of Information Management Customer Support and Operations (IM\CS&O) of a large multi-national company. The department is in charge of ICT-service continuity and has to produce ICT recovery plans that are integrated with the organization's overall Business Continuity plan. Interviews, Group Support System (GSS) technologies as well as a risk survey have been used to gather information and identify risks and threats. A systematic quantitative classification, measuring the impact of loss of ICT services on the company's business processes in terms of cost and risk will allow in the near future to utilize an economic decision model to prioritize the core activities of training and implementation of a recovery disaster plan. The research has made clear to the involved protagonists the necessity to share information, to develop awareness, and to formulate a shared recovery disaster plan to ensure ICT/business continuity and/or recovery when ICT disruptions occurs. © Proceedings ISCRAM 2004.
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Stefan Sackmann, Marlen Hofmann, & Hans Betke. (2013). Towards the Integration of Place-related Information in Disaster Response Processes. 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. 78–83). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Processes in disaster response management (DRM) and business processes are similar due to their general structure and goals. This encourages us to analyze the suitability of business process management tools and methods in the domain of DRM. One main challenge is the coverage of disaster specific aspects by existing process modeling languages. Since interdependencies between time, activities, and place are critical for process planning, we discuss the necessity for model extension. A special focus lies on the integration of place-related information as well as interdependencies resulting from stationary and mobile activities and resources. The integration of such place-related information is discussed as pre-condition for effective and efficient planning of disaster response processes and their successful management by disaster response workflow management systems.
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El Hamali Samiha, Nouali-TAboudjnent, N., & Omar Nouali. (2011). Knowledge extraction by Internet monitoring to enhance crisis 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: This paper presents our work on developing a system for Internet monitoring and knowledge extraction from different web documents which contain information about disasters. This system is based on ontology of the disasters domain for the knowledge extraction and it presents all the information extracted according to the kind of the disaster defined in the ontology. The system disseminates the information extracted (as a synthesis of the web documents) to the users after a filtering based on their profiles. The profile of a user is updated automatically by interactively taking into account his feedback.
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Sardar Sulaman, & Martin Höst. (2018). Risk Analysis and Management of IT Systems: Practice and Challenges. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 831–840). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Risk analysis is important for safety-critical IT systems and services, both in public and private organizations. However, the actual practices and the challenges of risk analysis in these contexts have not been fully explored. This paper investigates the current practices of risk analysis by an interview-based investigation. This study investigates several factors of the risk analysis process, e.g., its importance, identification of critical resources, definitions of roles, involvement of different stakeholders, used methods, and follow-up analysis. Furthermore, this study also investigates existing challenges in the current practices of risk analysis. A number of challenges are identified, e.g., that risk analysis requires competence both about the risk analysis procedures and the analyzed system, which is challenging to identify, and that it is challenging to follow-up and repeat a risk-analysis that is conducted. The identified challenges can be useful when new risk analysis methods are defined.
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Savannah Thais, Shaine Leibowitz, Allie Saizan, & Ashay Singh. (2022). Understanding Historical, Socio-Economic, and Policy Contributions to COVID-19 Health Inequities. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 481–494). Tarbes, France.
Abstract: The COVID-19 pandemic has generated unprecedented, devastating impacts across the United States. However, some communities have disproportionately endured adverse health outcomes and socioeconomic injuries. Ascertaining the factors driving these inequities is crucial to determining how policy could mitigate the impacts of future public health crises. We have established research-driven metrics, aggregated as the Community Vulnerability Index (CVI), that quantify vulnerability to public health and economic impacts of COVID-19. We performed two analyses to better understand similarities between communities in terms of the vulnerabilities represented by the metrics. We performed an unsupervised k-means clustering analysis to understand whether communities can be grouped together based on their levels of negative social and health indicators. Our goal for this analysis is to determine whether attributes of the constructed clusters reveal areas of opportunity for potential policy impacts and future disaster response efforts. We also analyzed similarities between communities across time using time-sensitive clustering analysis to discover whether historical community vulnerabilities were persistent in the years preceding the pandemic and to better understand the historical factors associated with disparate COVID-19 impacts. In particular, we highlight where communities should invest based on their historical health and socioeconomic patterns and related COVID impacts. Through extensive interpretation of our findings, we uncover how health policy can advance equity and improve community resilience.
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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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Sérgio Freire, Aneta Florczyk, & Martino Pesaresi. (2016). New Multi-temporal Global Population Grids ? Application to Volcanism. 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: Better and finer global analyses of human exposure and risk of natural disasters require improved geoinformation on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. This paper presents the development of new multi-temporal global population grids and illustrates their value in the context of risk analysis by estimating the worldwide distribution of population in relation to recent volcanism. Results indicate that almost 6% of the world?s 2015 population lived within 100 km of a volcano with at least one significant eruption, and more than 12% within 100 km of a Holocene volcano, with human concentrations in this zone increasing since 1990 above the global population change rate. The novel 250-m resolution population grids constitute the new state-of-the-art in terms of global geospatial population data, with the potential to advance modeling and analyses at all stages of the emergency management cycle.
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Yongzhong Sha, Jinsong Yan, & Guoray Cai. (2014). Detecting public sentiment over PM2.5 pollution hazards through analysis of Chinese microblog. 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. 722–726). University Park, PA: The Pennsylvania State University.
Abstract: Decision-making in crisis management can benefit from routine monitoring of the (social) media to discover the mass opinion on highly sensitive crisis events. We present an experiment that analyzes Chinese microblog data (extracted from Weibo.cn) to measure sentiment strength and its change in relation to the recent PM 2.5 air pollution events. The data were analyzed using SentiStrength algorithm together with a special sentiment words dictionary tailored and refined for Chinese language. The results of time series analysis on detected sentiment strength showed that less than one percent of the posts are strong-positive or strong negative. Weekly sentiment strength measures show symmetric changes in positive and negative strength, but overall trend moved towards more positive opinions. Special attention was given to sharp bursts of sentiment strength that coincide temporally with the occurrence of extreme social events. These findings suggest that sentiment strength analysis may generate useful alert and awareness of pending extreme social events.
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Gayane Shalunts, Gerhard Backfried, & Prinz Prinz. (2014). Sentiment analysis of German social media data for natural disasters. 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. 752–756). University Park, PA: The Pennsylvania State University.
Abstract: Analysis of social media and traditional media provides significant information to first responders in times of natural disasters. Sentiment analysis, particularly of social media originating from the affected population, forms an integral part of multifaceted media analysis. The current paper extends an existing methodology to the domain of natural disasters, broadens the support of multiple languages and introduces a new manner of classification. The performance of the approach is evaluated on a recently collected dataset manually annotated by three human annotators as a reference. The experiments show a high agreement rate between the approach taken and the annotators. Furthermore, the paper presents the initial application of the resulting technology and models to sentiment analysis of social media data in German, covering data collected during the Central European floods of 2013.
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