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Author Victor A. Bañuls; Cristina López-Vargas; Fernando Tejedor; Murray Turoff; Miguel Ramirez de la Huerga pdf  isbn
openurl 
  Title Validating Cross-Impact Analysis in Project Risk Management Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Scenarios; Cross-Impact Analysis (CIA); Interpretive Structural Modeling (ISM); Risk Events; Project Management  
  Abstract Companies work increasingly more on projects as a means of executing organizational decisions. However, too many enterprise projects result in failure. Hence, firms should follow a risk management method that drives their projects toward success. Nevertheless, project managers often deal with risks intuitively. This is partly because they lack the proper means to correctly manage the underlying risks which affect the entire cycle of their projects. Therefore, one purpose is to identify the critical events that managers may encounter before the beginning of the project and during its development. In addition, we propose CIA-ISM to represent existing relationships between the unforeseen events in the project?s lifetime and their key performance indicators. This also predicts the influence of risks on project performance over time by means of scenarios. The tool proposed would thus help practitioners to manage enterprise projects risks in a more effective and proactive way. We have validated the predictive capability of the CIA-ISM model with 22 real projects. The results show a high level of predictive capability in terms of risk analysis and key performance indicators.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3387 ISBN 978-84-608-7984-8 Medium  
  Track Analytical Modeling and Simulation Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1338  
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Author Laura Laguna Salvadó; Matthieu Lauras; Tina Comes; Mathieu Grenade pdf  isbn
openurl 
  Title A Study on the Sub-Regionalization of Humanitarian Supply Chain: the IFRC Case Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Humanitarian Supply Chain; Sub-Regional Network; Decision-Support Systems; Preparedness; Logistics network  
  Abstract Humanitarian Supply Chain (HSC) performance is a key factor for disaster response. In order to be more responsive, the typical humanitarian supply strategy has evolved from a centralized to a decentralized network, generally at regional level. The objective was to reduce lead-times and costs. However, after a decade of working, organizations like the Americas and Caribbean International Federation of the Red Cross and Red Crescent (IFRC) have noticed that those objectives are only partially reached and have decided to go further in the evolution by developing sub-regionalized networks. In this study, we analyse the HSC sub-regionalization process to better understand the challenges and opportunities for humanitarian organizations. Three key aspects are point out: implementation, real-time monitoring and operations? cost-efficiency. Based on these results and considering the law maturity level of humanitarian organizations in terms of Information and Decision-Support Systems, we conclude with giving concrete guidelines for designing and developing ad-hoc monitoring and orchestrating systems.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Intelligent Decision Support in the Networked Society Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved yes  
  Call Number Serial 1327  
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Author Jenny Marklund; Cecilia Hull Wiklund pdf  isbn
openurl 
  Title Learning from C2 Situations in the Field – Identifying Lessons from a Major Forest Fire in Sweden Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Lessons Learned; Crisis Management; Forest Fire; C2; Sweden  
  Abstract In July 2014, Sweden?s full crisis response system engaged in a major operation as a small forest fire spun out of control, turning into the largest forest fire in Sweden in modern times. A number of investigations have been undertaken to understand the course of the fire and identify lessons for future crisis management. This paper presents one approach to identifying such lessons, the lessons learned process applied by the Swedish Armed Forces. The paper also highlights some of the major crisis response lessons from the fire, the most important being the failure to learn from lessons identified after previous forest fires. Results also show that the crisis response effort was negatively affected by a poor understanding of relevant actor?s competencies and resources, as well as lack of continuity in the initial chain of command, and identifies the need for national prioritization of resources at times of major crises.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1379  
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Author Christian Uhr; Björn J E Johansson; Jonas Landgren; Martin Holmberg; Fredrik Bynander; Samuel Koelega; Jiri Trnka pdf  isbn
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  Title Once upon a time in Västmanland – the power of narratives or how the “truth” unfolds Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Case Study; Choice Of Methodology; Evaluation Of Direction And Coordination  
  Abstract In 2014 a small fire started in a forest in central Sweden. Within a few days it developed into the largest wildfire in Sweden in the last 50 years. As the scale of the fire increased, so did the need for direction and coordination of the resources engaged in the response operation. Both official investigators and the research community have studied the challenges and come up with recommendations for improvements of the Swedish crisis management system. All authors of this paper have been involved in such efforts. This paper is a result of us trying to formulate lessons learnt based on several written reports and official discussions. The development of the narratives constructed by individuals involved in the response, investigators and researchers is analyzed. We conclude that researchers need to pay attention to their own role in this development. Maybe there is a need for a game changer on the methodological side?  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1380  
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Author Valerie November; Laurence Creton-Cazanave pdf  isbn
openurl 
  Title Inquiry in control rooms – an analysis through the lenses of space, time and practices Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Control Rooms; Space; Time; Action; Monitoring  
  Abstract In recent risk studies, some researchers have raised concerns regarding the focus on extraordinary events – sometimes called ?extreme paradigm? (Gaillard, 2007). Simultaneously, we are witnessing a growing interest in the more ?ordinary? situations that must be handled on a daily basis in order to avoid crises (Roux-Dufort 2007, Van Laere 2013). In an interdisciplinary perspective of sociology and geography, we have analysed five different control rooms (traffic safety, air traffic control, humanitarian coordination, weather forecasting and electrical supply). This transversal perspective has helped us consider control rooms as specific spatio-temporal devices, where ordinary practices aim as much at crisis avoidance as at crisis management. We conclude that it is important to broaden the analytical perspective of control rooms; to no longer regard them as the source of action but rather as one aspect of larger socio-technical monitoring devices.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1381  
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Author Peter Berggren; Björn JE Johansson; Ellen Ekström pdf  isbn
openurl 
  Title Resilience through training – assessing cognition in teams Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords  
  Abstract Breakdowns in team cognition are accepted as an explanation for system collapses, especially in complex environments. In the nuclear industry, training for system collapses is a part of the job for control room teams. Such training focus both on improving skills required for recognising and solving disturbances and on improving team processes. This paper presents an approach to team training for nuclear power plant control room teams with the purpose of making the system more resilient by improving debriefing sessions through feedback on shared strategic understanding among team members.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1382  
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Author Andreas Lotter; Konrad Barth; Brauner Florian; Florian Steyer; Ompe Aime Mudimu; Alex Lechleuthner pdf  isbn
openurl 
  Title Measurement of information flows in rescue exercises in the aftermath of the collapse of a building Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Collapsed Buildings; Information Flow; Table-Top Exercises; In-Field Exercises  
  Abstract Collapsed buildings are one of the most complex challenges for rescue forces. The large amount of incoming information in particular is a major challenge to handle for the involved forces. The Assessment of this information is necessary in order to be able to give reliable statements about the number of buried and missing victims. To improve the handling of the information, the authors have developed a method to measure information flow during rescue exercises after the collapse of a building. This method has been developed within VERVE, a research project subsidized by the German Federal Ministry of Education and Research (BMBF). The method has been evaluated and tested through two exercises.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1383  
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Author Bruno S. N.; Adriana S. Vivacqua; Marcos R.S. Borges pdf  isbn
openurl 
  Title A Conceptual Architecture to handle the influx of information in Emergency Situations Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Emergency; Heterogeneous Information Sources; Information Integration; Collaboration; Visualization Of Information; Dashboards.  
  Abstract Emergency situations are characterized by their complexity and the heterogeneity of the available information. Emergency managers are frequently confronted with redundant or irrelevant information, causing the problem of information overload. Evidence of this problem was identified in an exploratory survey conducted in the Center for Integrated Command and Control of Rio de Janeiro (CICC-RJ). In this paper, we present a conceptual architecture that allows a user to handle this influx of information. From a set of available data, a manager can select those of interest, which can then be transformed and mapped into one or more views, and organized in a dashboard. The whole process is interactive, allowing the manager to redefine his/her dashboard as needed. In addition, we provide collaborative mechanisms, given that, at times, it is not possible for a single user to handle such large datasets alone.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1384  
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Author Nicoletta Baroutsi pdf  isbn
openurl 
  Title Observing Sensemaking in C2: Performance Assessments in Multi-Organizational Crisis Response Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Emergency Response; Crisis; C2; Command & Control; Sensemaking; High Reliability Organizations; Dynamic Decision Making  
  Abstract A crisis can involve multiple organizations during high pressure events, and it is up to the Command & Control (C2) unit to provide direction and coordination for the response (Brehmer, 2006). Hard as this problem is, there is still no ?one-solution?. Dissimilar organizations with very different methods seem to be able to master the problem. This paper presents the initial development of a new evaluation method for C2 in the context of multi-organizational crisis response. The data is collected at an emergency water exercise series conducted in several cities in Sweden. Each exercise involves multiple agencies and organizations, with up to 76 participants from 15 unique organizations/units. The analysis is brief, but presents the possibility of observing Sensemaking as it unfolds, and that generic behavioral patterns can be found. The existence of generic and observable behavior patterns suggests the possibility of assessing, and maybe even quantifying, Sensemaking performance in C2.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1385  
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Author Jonas Rybing; Johan Larsson; Carl-Oscar Jonson; Erik Prytz pdf  isbn
openurl 
  Title Preliminary Validation Results of DigEmergo for Surge Capacity Management Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Simulator Validation; Between Group Analysis; Command And Control; Performance Measures; Emergency Medicine; Surge Capacity  
  Abstract This paper presents preliminary analysis from a validation study of a novel emergency medicine command and control training and evaluation simulator: DIGEMERGO®. The simulated emergency scenario was a surge capacity event at a generic emergency department, in which the participants took on a management role as the emergency department?s coordinating head nurse. A between group validation design with medical expert and novice participants was used. Initial analysis examined three triage measures associated with surge capacity management performance: time to triage, amount of patients triaged, and triage accuracy. The results show that experts were significantly more accurate at triaging in-hospital patients, but not incoming trauma patients. No significant differences in time or number of patients triaged was found. These initial results partially indicate simulator validity, but trauma patient triage accuracy suffered from a confounding variable in the triage system used. Analysis of additional measures is undergoing to further investigate validity claims.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1386  
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Author Fabio Ciravegna; Suvodeep Mazumdar; Neil Ireson; Peter Cudd pdf  isbn
openurl 
  Title Seeing through the Eyes of the Citizens during Emergencies Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Mobile Camera; Emergency Response; Control Room Technologies  
  Abstract Availability and access to information is critical for providing a highly effective response to an ongoing event ? however, often information reported by citizens over the phone may be unclear, inaccurate, biased or subjective, based on the context of the reporter. This can often lead to inadequate response to an emergency, which can in turn result in loss of property or worse, lives. On the other hand, excessive response to an emergency can also result in a highly expensive exercise. Our solution to address this problem is to make the citizen act as a camera for the control room by exploiting the user?s mobile camera. The system is designed to provide a live view of the citizen?s immediate surroundings, while control room personnel can provide instructions. In this paper, we introduce the system and share initial insights from a focus group evaluation conducted within a separate but closely related domain.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Command and Control Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1387  
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Author Jennings Anderson; Marina Kogan; Melissa Bica; Leysia Palen; Kenneth Anderson; Rebecca Morss; Julie Demuth; Heather Lazrus; Olga Wilhelmi pdf  isbn
openurl 
  Title Far Far Away in Far Rockaway: Responses to Risks and Impacts during Hurricane Sandy through First-Person Social Media Narratives Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Crisis Informatics; Hurricane Sandy; Protective Decision Making; Risk Perception; Social Media; Twitter  
  Abstract When Hurricane Sandy swept over the US eastern seaboard in October 2012, it was the most tweeted about event at the time. However, some of the most affected areas were underrepresented in the social media conversation about Sandy. Here, we examine the hurricane-related experiences and behaviors shared on Twitter by residents of Far Rockaway, a New York City neighborhood that is geographically and socioeconomically vulnerable to disasters, which was significantly affected by the storm. By carefully filtering the vast Twitter data, we focus on 41 Far Rockaway residents who offer rich personal accounts of their experience with Sandy. Analyzing their first-person narratives, we see risk perception and protective decision-making behavior in their data. We also find themes of invisibility and neglect when residents expressed feeling abandoned by the media, the city government, and the overall relief efforts in the aftermath of Sandy.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 1388  
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Author Venkata Kishore Neppalli; Murilo Cerqueira Medeiros; Cornelia Caragea; Doina Caragea; Andrea Tapia; Shane Halse pdf  isbn
openurl 
  Title Retweetability Analysis and Prediction during Hurricane Sandy Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Twitter; Retweetability Analysis; Retweetability Prediction; Hurricane Sandy; Disaster Events  
  Abstract Twitter is a very important source for obtaining information, especially during events such as natural disasters. Users can spread information in Twitter either by crafting new posts, which are called ?tweets,? or by using retweet mechanism to re-post the previously created tweets. During natural disasters, identifying how likely a tweet is to be highly retweeted is very important since it can help promote the spread of good information in a network such as Twitter, as well as it can help stop the spread of misinformation, when corroborated with approaches that identify trustworthy information or misinformation, respectively. In this paper, we present an analysis on retweeted tweets to determine several aspects affecting retweetability. We then extract features from tweets? content and user account information and perform experiments to develop models that automatically predict the retweetability of a tweet in the context of the Hurricane Sandy.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1389  
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Author Apoorva Chauhan; Amanda Lee Hughes pdf  isbn
openurl 
  Title Online Mentioning Behavior during Hurricane Sandy: References, Recommendations, and Rebroadcasts Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Crisis Informatics; Social Media; Emergency Management  
  Abstract Large-scale crisis events require coordination between the many responding stakeholders to provide timely, relevant, and accurate information to the affected public. In this paper, we examine how social media can support these coordinated public information efforts. This research considers how emergency responders mentioned different organizations, institutions, and individuals by examining the social media communications of police and fire departments during Hurricane Sandy. We find that these departments use mentions to reference other sources of information, recommend credible information and sources, and rebroadcast information. These mentions offer insight into how emergency responders fit within a broader crisis information network and the types of entities that responders trust and recommend to provide information to the public.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1390  
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Author Elodie Fichet; John Robinson; Dharma Dailey; Kate Starbird pdf  isbn
openurl 
  Title Eyes on the Ground: Emerging Practices in Periscope Use during Crisis Events Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Social Media; Periscope; Twitter; Crisis Informatics; Emergency Management  
  Abstract This empirical analysis examines the use of the live-streaming application Periscope in three crises that occurred in 2015. Qualitative analyses of tweets relating to the Amtrak derailment in Philadelphia, Baltimore protests after Freddie Grey?s death, and Hurricane Joaquin flooding in South Carolina reveal that this recently deployed application is being used by both citizens and journalists for information sharing, crisis coverage and commentary. The accessibility and immediacy of live video directly from crisis situations, and the embedded chats which overlay on top of a video feed, extend the possibilities of real-time interaction between remote crowds and those on the ground in a crisis. These empirical findings suggest several potential challenges and opportunities for responders.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 1391  
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Author Yuhong Li; Christopher Zobel pdf  isbn
openurl 
  Title Small Businesses and Social Media Usage in the 2013 Colorado Floods Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Social Media; Small Business; Recovery; Disaster  
  Abstract The recovery of small businesses from a disaster is critical to community recovery. Such businesses can be extremely vulnerable to disasters, particularly because they often occupy a single location and have a localized customer base. Although social media is an effective platform for information dissemination, and has been extensively used in a disaster context, the way in which small businesses use social media in this context, and the effectiveness of those efforts, are still not well understood. With this in mind, this paper uses the 2013 floods along the Front Range in Colorado as a case study to help improve our understanding of how small businesses use social media in disaster situations. Characterizing the organizations' behavior involves using both qualitative and quantitative approaches, and the paper focuses on an initial qualitative analysis.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1392  
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Author Pragna Debnath; Saniul Haque; Somprakash Bandyopadhyay; Siuli Roy pdf  isbn
openurl 
  Title Post-disaster Situational Analysis from WhatsApp Group Chats of Emergency Response Providers Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords  
  Abstract Use of social media has established itself as one of the important information carriers in the field of disaster management. However, use of Twitter and Facebook by victims, first responders and others generates information that is varied, unstructured and unreliable. On the other hand, NGOs, operating in the disaster area, are often involved in intra-organizational communication using messaging apps like WhatsApp, and their group interactions can help in gathering meaningful data for situational analysis and need assessment. Our focus is to automate the process of filtering relevant information, query-based clustering of pertinent information from a WhatsApp group conversation of a specific volunteer group, so that situation analysis and need assessment can be done more rapidly. We have evaluated our scheme using WhatsApp chat log of a medical volunteer group in two post-disaster scenarios and concluded that it can provide valuable insights about region-specific resource requirements and allocation for effective decision making.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1393  
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Author Antonin Segault; Federico Tajariol; Yang Ishigaki; Ioan Roxin pdf  isbn
openurl 
  Title #geiger 2: Developing Guidelines for Radiation Measurements Sharing on Social Media Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Twitter; Nuclear Post-Accident; Radiation; Robots; Syntax  
  Abstract Radiation measurements are key information in post-nuclear accident situations. Automated Twitter accounts have been used to share the readings, but often in an incomplete way from the perspective of data sharing and risk communication between citizen and radiation experts. In this paper, we investigate the requirements for radiation measurements completeness, by analyzing the perceived usefulness of several metadata items that may go along the measurement itself. We carried out a benchmark of existing uses, and conducted a survey with both experts and lay citizens. We thus produced a set of guidelines regarding the metadata that should be used, and the way to publish it.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1394  
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Author Shannon Daly; James A. Thom pdf  isbn
openurl 
  Title Mining and Classifying Image Posts on Social Media to Analyse Fires Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Flickr; Image Analytics; Geotags; Geocoding  
  Abstract We propose a methodology to study the occurrence of fires through image posts on Flickr; crowd-sourcing information from a noisy social media dataset can estimate the presence of fires. We collect several years worth of photos and associated metadata using fire-related search terms. We use an image classification model to detect geotagged photos that are further analysed to determine if a fire event did occur at a particular time and place. Furthermore, a case study investigates image features and spatio-temporal elements in the metadata, as well as location information contained in camera EXIF data.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 1395  
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Author Muhammad Imran; Prasenjit Mitra; Jaideep Srivastava pdf  isbn
openurl 
  Title Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Social Media; Tweets Classification; Domain Adaptation  
  Abstract Rapid crisis response requires real-time analysis of messages. After a disaster happens, volunteers attempt to classify tweets to determine needs, e.g., supplies, infrastructure damage, etc. Given labeled data, supervised machine learning can help classify these messages. Scarcity of labeled data causes poor performance in machine training. Can we reuse old tweets to train classifiers? How can we choose labeled tweets for training? Specifically, we study the usefulness of labeled data of past events. Do labeled tweets in different language help? We observe the performance of our classifiers trained using different combinations of training sets obtained from past disasters. We perform extensive experimentation on real crisis datasets and show that the past labels are useful when both source and target events are of the same type (e.g. both earthquakes). For similar languages (e.g., Italian and Spanish), cross-language domain adaptation was useful, however, when for different languages (e.g., Italian and English), the performance decreased.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1396  
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Author Cornelia Caragea; Adrian Silvescu; Andrea Tapia pdf  isbn
openurl 
  Title Identifying Informative Messages in Disasters using Convolutional Neural Networks Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Informative Tweets Classification; Disaster Events; Convolutional Neural Networks  
  Abstract Social media is a vital source of information during any major event, especially natural disasters. Data produced through social networking sites is seen as ubiquitous, rapid and accessible, and it is believed to empower average citizens to become more situationally aware during disasters and coordinate to help themselves. However, with the exponential increase in the volume of social media data, so comes the increase in data that are irrelevant to a disaster, thus, diminishing peoples? ability to find the information that they need in order to organize relief efforts, find help, and potentially save lives. In this paper, we present an approach to identifying informative messages in social media streams during disaster events. Our approach is based on Convolutional Neural Networks and shows significant improvement in performance over models that use the ?bag of words? and n-grams as features on several datasets of messages from flooding events.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1397  
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Author Emma Potter pdf  isbn
openurl 
  Title Balancing conflicting operational and communications priorities: social media use in an emergency management organization Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Emergency Management; Social Media; Internal Communication; Disasters; Ethnography  
  Abstract Social media are now widely used by affected members of the public during an emergency. As these platforms have become mainstream, governments have responded to the public?s expectation that information is available online, particularly during disasters. Emergency management organizations (EMOs) now widely use social media to communicate with the public alongside occasional intelligence gathering. While EMOs increasingly use social media, breakdowns in internal communication can inhibit the dissemination of timely information to their online followers. Drawing on a two-year ethnography at the Queensland Fire and Emergency Services (QFES), an Australian EMO, this paper outlines how the organization uses social media to disseminate information during emergencies and identifies the internal tensions around its use. These tensions include the prioritization of operational duties over public information responsibilities, and the difficulties around requesting and receiving information from operational personnel located on the ground.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1398  
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Author Louis Ngamassi; Thiagarajan Ramakrishnan; Shahedur Rahman pdf  isbn
openurl 
  Title Examining the Role of Social Media in Disaster Management from an Attribution Theory Perspective Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Attribution Theory; Social Media; Disaster Management; Disaster Management Phases  
  Abstract This paper is related to the use of social media for disaster management by humanitarian organizations. The past decade has seen a significant increase in the use of social media to manage humanitarian disasters. It seems, however, that it has still not been used to its full potential. In this paper, we examine the use of social media in disaster management through the lens of Attribution Theory. Attribution Theory posits that people look for the causes of events, especially unexpected and negative events. The two major characteristics of disasters are that they are unexpected and have negative outcomes/impacts. Thus, Attribution Theory may be a good fit for explaining social media adoption patterns by emergency managers. We propose a model, based on Attribution Theory, which is designed to understand the use of social media during the mitigation and preparedness phases of disaster management. We also discuss the theoretical contributions and some practical implications. This study is still in its nascent stage and is research in progress.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1399  
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Author Briony Jennifer Gray pdf  isbn
openurl 
  Title Social Media and Disasters: A New Conceptual Framework Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Social Media; Conceptual Framework; Disaster Management; Web Accessibility; Information Reliability  
  Abstract Conceptual frameworks which seek to integrate social media uses into disaster management strategies are employed in a range of events. With continued variations to social media practices, developments in technology, and changes in online behaviors, it is imperative to provide conceptual frameworks which are relevant, current and insightful. This paper conceptualizes a range of recent literature through an inductive methodology, and presents the themes of Web accessibility and online information reliability as broad and emerging considerations for the identification of social media uses during disasters. It presents a new conceptual framework of current social media uses which may be used to supplement existing frameworks. The framework has been applied to a dataset of Tweets from the 2015 Nepal earthquake to demonstrate its validity. Suggestions for future applications are discussed.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1400  
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Author Daniel Link; Bernd Hellingrath; Jie Ling pdf  isbn
openurl 
  Title A Human-is-the-Loop Approach for Semi-Automated Content Moderation Type Conference Article
  Year 2016 Publication ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2016  
  Volume Issue Pages  
  Keywords Disaster Management; Social Media Analysis; Human-Is-The-Loop; Content Moderation; Supervised Machine Learning  
  Abstract Online social media has been recognized as a valuable information source for disaster management whose volume, velocity and variety exceed manual processing capacity. Current machine learning systems that support the processing of such data generally follow a human-in-the-loop approach, which has several inherent limitations. This work applies the human-is-the-loop concept from visual analytics to semi-automate a manual content moderation workflow, wherein human moderators take the dominant role. The workflow is instantiated with a supervised machine learning system that supports moderators with suggestions regarding the relevance and categorization of content. The instantiated workflow has been evaluated using in-depth interviews with practitioners and serious games. which suggest that it offers good compatibility with work practices in humanitarian assessment as well as improved moderation quality and higher flexibility than common approaches.  
  Address  
  Corporate Author Thesis  
  Publisher Federal University of Rio de Janeiro Place of Publication Rio de Janeiro, Brasil Editor A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN (up) 2411-3388 ISBN 978-84-608-7984-9 Medium  
  Track Social Media Studies Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1401  
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