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Author |
Liuqing Li; Edward A. Fox |
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Title |
Understanding patterns and mood changes through tweets about disasters |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Keywords |
Disaster, Pattern, User Classification, Mood Detection, Twitter |
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Abstract |
We analyzed a sample of large tweet collections gathered since 2011, to expand understanding about tweeting
patterns and emotional responses of different types of tweeters regarding disasters. We selected three examples for
each of four disaster types: school shooting, bombing, earthquake, and hurricane. For each collection, we deployed
our novel model TwiRole for user classification, and an existing deep learning model for mood detection. We
found differences in the daily tweet count patterns, between the different types of events. Likewise, there were
different average scores and patterns of moods (fear, sadness, surprise), both between types of events, and between
events of the same type. Further, regarding surprise and fear, there were differences among roles of tweeters. These
results suggest the value of further exploration as well as hypothesis testing with our hundreds of event and trend
related tweet collections, considering indications in those that reflect emotional responses to disasters. |
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Address |
Virginia Tech, United States of America |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
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Track |
T8- Social Media in Crises and Conflicts |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Approved |
no |
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Call Number |
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Serial |
1863 |
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Author |
Linda Elmhadhbi; Mohamed-Hedi Karray; Bernard Archimède |
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Title |
A Modular Ontology for Semantically Enhanced Interoperability in Operational Disaster Response |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Semantic interoperability, modular ontology, upper-level ontology, mid-level ontology, disaster response |
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Abstract |
Up to now, the world has witnessed how inadequate communication capabilities can adversely affect disaster response efforts. There are various Emergency Responders (ERs) that potentially must work together towards a successful resolution of the disaster. However, the different terminologies and technical vocabularies that are being exchanged between the ERs may lead to a misunderstanding and lack of semantic integrity. Yet, understanding the semantics of the exchanged data is one of the major challenges. The purpose of this work is to define the complex knowledge of the ERs by proposing a common and modular ontology shared by all the stakeholders so as to come up with a common shared vocabulary in order to ensure semantic interoperability between ERs. In this paper, we present POLARISCO and we discuss how it was developed using Basic Formal Ontology as an upper-level ontology and Common Core Ontology as a mid-level ontology to define each module. |
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Address |
University of Toulouse, France |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T10- Knowledge, Semantics and AI for RISK and CRISIS management |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Approved |
no |
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Call Number |
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Serial |
1960 |
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Author |
Laure Fallou; Laura Petersen; Rémy Bossu; Frédéric Roussel |
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Title |
Efficiently allocating safety tips after an earthquake – lessons learned from the smartphone application LastQuake |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Earthquake, Risk reduction, Disaster app, Safety tips, ELSI. |
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Abstract |
In a context of information overload, actors in disaster management are facing challenges to efficiently allocate critical information during a crisis. Based on the empirical experience of EMSC (Euro-Mediterranean Seismological Centre) with its application LastQuake, this paper explores ways to provide safety information in
a timely manner, to the people who actually need it. First we introduce the method used to design and implement universally understandable visual safety tips, taking Ethical, Legal and Social Issues (ELSI) into consideration. Then, results on the effective use of the feature are presented. Findings demonstrate the importance of designing universal tools to limit the use of personal data as well as the Necessity of developing a multichannel approach for efficient crisis information allocation. |
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Address |
Euro-Mediterranean Seismological Centre (EMSC), France;Centre National de Recherche Scientifique (CNRS), France;CEA, DAM, DIF, F-91297 Arpajon, France |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T3- Ethical, Legal and Social Issues |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1943 |
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Author |
Laura Petersen; Eva Horvath; Johan Sjöström |
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Title |
Evaluating Critical Infrastructure Resilience via Tolerance Triangles: Hungarian Highway pilot case study |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Issue |
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Pages |
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Keywords |
critical infrastructure resilience, tolerance triangles, questionnaire, IMPROVER |
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Abstract |
While accepted as part of critical infrastructure (CI) resilience, no consensus exists on how to measure the exact
minimum level of service or the rapidity of rapidly restoring services. The H2020 European project IMPROVER
(Improved risk evaluation and implementation of resilience concepts to critical infrastructure) suggests to use the
public?s declared tolerance levels for both minimum level of service and rapidity of service restoration as criteria
with which to evaluate if the resilience of a given CI is resilient enough. This paper demonstrates the development
of a questionnaire-based methodology to determine public tolerance levels. It then tests this methodology via a
pilot case study at IMPROVER?s Hungarian Highway Living Lab. The paper argues that public tolerance levels
are a reasonable choice for resilience evaluation criteria and demonstrates that the questionnaire-based
methodology permits one to evaluate public perception in such a way as to compare it to technical resilience
analyses. |
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Address |
Euro-Mediterranean Seismological Centre (EMSC);French National Center for Scientific Research (CNRS);Magyar Közút Nonprofit Zrt;RISE Research Institutes of Sweden |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T14 - Protecting Critical Infrastructures in Crisis Situations |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1868 |
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Author |
Larissa Aldehoff |
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Title |
Renouncing Privacy in Crisis Management? People's View on Social Media Monitoring and Surveillance |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Social Media, Privacy, Security, Crisis Management, Surveillance |
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Abstract |
Social media is used during crises and disasters by state authorities and citizens to communicate and provide, gain
and analyze information. Monitoring of platforms in such cases is both a well-established practice and a research
area. The question, whether people are willing to renounce privacy in social media during critical incidents, or
even allow surveillance in order to contribute to public security, remains unanswered. Our survey of 1,024 German
inhabitants is the first empirical study on people�s views on social media monitoring and surveillance in crisis
management. We find the willingness to share data during an imminent threat depends mostly on the type of data:
a majority (63% and 67%, respectively) would give access to addresses and telephone numbers, whereas the
willingness to share content of chats or telephone calls is significantly lower (27%). Our analysis reveals diverging
opinions among participants and some effects of sociodemographic variables on the acceptance of invasions into
privacy. |
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Address |
Technische Universität Darmstadt, Science and Technology for Peace and Security (PEASEC) |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T13 - Privacy Risk Management in Critical Infrastructures |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1850 |
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Author |
Kristoffer Karl Darin-Mattsson; Niklas Hallberg |
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Title |
Do's and Don'ts in Inter-Organizational Crisis Management Exercises |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Pages |
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Keywords |
Inter-organizational, exercise, learning, crisis management, collaboration |
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Abstract |
It is commonly assumed that conducting exercises will contribute to better crisis management. However, the exact mechanisms of cause and effect are hard to isolate empirically. The objective of this paper is to compile and analyze the recommendations in the literature on inter-organizational exercises and learning. While not claiming to meet the strict scientific demand of empirical validation and general applicability, the compilation may nevertheless provide some guidance from research to practitioners. Forty-four papers about learning in interorganizational exercises were analyzed. Out of the analyzed papers, 28 discussed obstacles or success factors.
However, the recommendations applicable in one setting are not automatically valid in others, and some are even contradictory. The recommendations have therefore been categorized according to two criteria; when in the exercise cycle and for whom they apply. Several recommendations concern individual learning, but maximizing individual learning can sometimes hamper learning on the organizational level. |
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Address |
Swedish Defence Research Agency (FOI), Sweden |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T2- Command and control studies |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1957 |
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Author |
Kristine Steen-Tveit; Jaziar Radianti |
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Title |
Analysis of Common Operational Picture and Situational Awareness during Multiple Emergency Response Scenarios |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Full-scale drill, elicitation methods, situational awareness, common operational picture, information needs. |
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Abstract |
Disaster response operations require communication and coordination between agencies that seldom occurs in everyday workday situations. Furthermore, in such hybrid environments it is necessary to establish a common operational picture for the responders involved to support collaborative decision-making. The emergency responders must gain situational awareness, and this can further affect the quality of how they deal with the situation. Training in emergency situations is shown to be efficient for learning. In order to understand the complexity of working in unpredictable environments, an analysis of an audio-log from a large-scale drill was carried out. Moreover, this paper provides a definition of several categories for identifying the processes to establish situational awareness and a common operational picture among emergency responders. The analysis process revealed how the actors communicate and revealed an overall communication pattern. |
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Address |
University of Agder, Norway, Norway |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T2- Command and control studies |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1931 |
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Author |
Kevin Wesendrup; Nicola Rupp; Adam Widera; Bernd Hellingrath |
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Title |
Challenges and Trends of Data Management for Firefighting in Germany and the Netherlands |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Data management, challenges, trends, firefighting |
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Abstract |
For successful firefighting, information is key. In this work, a general overview of the current challenges and
trends of data management for firefighting in Germany and the Netherlands are examined. This was accomplished
by conducting a literature review to find out the current state-of-the-art in research. The results of the literature
review are then compared with expert sentiments and gaps between research and practice are revealed. Through
the review, six challenge categories are identified: cartographic data harmonization, IS standardization,
information gathering from unstructured data, canonical bodies of knowledge, and data-driven firefighting
support. The challenges and trends are discussed in the context of Germany and the Netherlands and significant
differences are presented. Lastly, the gaps between research and practice are thoroughly analyzed and potentials
for future work revealed. |
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Address |
University of Münster, Germany |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T15- Open Track |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1902 |
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Author |
Kenny Meesters; Vittorio Nespeca; Tina Comes |
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Title |
Designing Disaster Information Management Systems 2.0: Connecting communities and responders |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Information Systems, Community Engagement, Participatory Systems, Systems Design, Inclusive Systems |
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Abstract |
Information and supporting information systems is a key element in an effective emergency response. From
creating situational awareness to informed decision making, information enables responders to optimize their
decisions and operations. Today, with the increased availability of information technology around the globe, a
new active player in the field of information management is emerging as communities are becoming increasingly
active in the field of information gathering, analyzing and sharing.
However, communities may have specific requirements and approaches to using information systems in crisis
situations. Moreover, connecting information systems between communities and responder pose specific
challenges due to the different information needs, capacities and incentives to use them. In this paper we build on
the DERMIS premises and explore through a case study if and how these principles apply to inclusive information
systems. We present the initial findings of this work of designing information systems involving both communities
and formal responders. |
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Address |
Delft University of Technology, The Netherlands |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T11- Community Engagement & Healthcare Systems |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1950 |
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Author |
Katrina Petersen |
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Title |
Managing Risk Across Borders: ethical implications of engaging information technology for transboundary disaster collaboration |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Ethics, Transboundary, Responsibility, Collaboration, Information Technology |
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Abstract |
Disaster management is increasingly becoming a project in managing diversity, from cross-organisational collaboration to inclusivity of voices. This is particularly prevalent when dealing with transboundary risks. New information technologies support these transboundary interactions by compiling diverse information and sources to build collaborative insight beyond what any individual organisation can know. This paper explores the ethical concerns that planners and responders face as they work with these collaborative information technologies to engage with data from other organisations, based in different data frameworks, socio-political priorities, goals, and cultures of risk. It draws on the ethical impact assessment of a cross-border collaborative crisis planning platform currently under development in the H2020 project IN-PREP to examine ethical tensions around equity, inclusion, diversity, solidarity, accountability and transparency. It discusses the consequences of such design foci for an agency?s ability to notice ethical risks that emerge from working in diversity. |
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Address |
Trilateral Research Ltd., United Kingdom |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T3- Ethical, Legal and Social Issues |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1982 |
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Author |
Kathrin Eismann; Melanie Reuter-Oppermann; Kai Fischbach |
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Title |
Towards Social Media Decision Support for Joined EMS and Crisis Logistics |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Crisis Logistics, EMS Logistics, Social Media, Decision-Making |
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Abstract |
In this paper, we investigate how social media can be utilised to support the integration of emergency medical services (EMS) and crisis management activities. We explore the literature both on social media in crisis management and on EMS logistics to elaborate on their potential to support EMS logistics planning based on the experiences from crisis management. We then discuss how social media data can be used for tactical and strategic decision-making using location data to improve demand forecasting and planning for both routine emergencies and crises. |
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Address |
University of Bamberg, Germany;Karlsruhe Institute of Technology, Germany |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T4- Logistics and Supply-Chain Management in Crisis Response |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1935 |
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Author |
Kathleen Ann Moore |
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Title |
Dark Web, Black Markets: The Utility of Dark in Disaster Recovery Research |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Deep Web, Dark Web, Surface Web, Black Markets, Crisis Response, Crisis Management |
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Abstract |
Black markets that develop after disaster events have potential to disrupt recovery efforts, and the Dark Web is the perfect facilitator of these markets. Lack of knowledge about the Dark Web: how to access it, how to safely, efficiently navigate the space, and prevailing myths about its dangers likely lead to this deficiency of research. To date, this area is a critically unexplored area of the Internet in the crisis research literature. This work examines this area of the Internet for utility and insight relevant to crisis managers. A pilot study on Puerto Rico in the months following Hurricane Maria reveals possible indicators of the development of black markets for prescription drugs, food, and water, which can impact long-term recovery and reconstruction efforts when these items are diverted from legal supply chains. As more people adopt this hidden part of the Internet, researchers and managers must do more to pay attention to activities that occur in this space. |
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Address |
James Madison University, United States of America |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T15- Open Track |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
1918 |
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Author |
Katelynn Amaris Kapalo; Pamela Wisniewski; Joseph J. LaViola Jr. |
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Title |
First In, Left Out : Current Technological Limitations from the Perspective of Fire Engine Companies |
Type |
Conference Article |
|
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
|
|
Volume |
|
Issue |
|
Pages |
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Keywords |
Fire service, case study, sociotechnical analysis, work analysis, information systems |
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Abstract |
The cognitive demands and skills required of a fire engine company when assessing the scene of an incident and
the systems they use to manage this information are a matter of life or death. We conducted a case study with an
entire fire battalion in Florida (35 firefighters at varying levels of command) to assess their routine technology
needs. Using a cognitive work analysis approach, we found that the firefighters in our study relied on mission
critical systems that often failed, as well as disparate secondary systems that lacked integration. Capability gaps
and inaccessible data also increased the likelihood of errors, creating frustration in the systems that both helped
and hindered these firefighters in their daily job tasks. We describe what firefighters need from technology in its
present state and we outline usability issues for technology designers and practitioners to leverage in the design
of future systems. |
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Address |
University of Central Florida, United States of America |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
|
Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
|
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Track |
T15- Open Track |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
|
Approved |
no |
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|
Call Number |
|
Serial |
1895 |
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Author |
Jun Sasaki; Taeko Maejima; Shuang Li; Yusuke Sato; Minoru Hiyama |
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Title |
Life-Area Broadcasting System (LABS) for Usual and Emergency Cases by Using Easy Contents Management System and New Speaker Devices |
Type |
Conference Article |
|
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Broadcasting, Artificial Voice, Emergency Information, Community Construction, Universal Design |
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Abstract |
The �community� has played an important role in enhancing the regional disaster management capabilities in
Japan. This paper proposes a Life-Area Broadcasting System (LABS) for usual and emergency cases. In order to
realize very simple and easy management of LABS, we developed the Easy Contents Management System
(ECMS). By this system, people can obtain life-area information related to their life support, small events and
accident news occurring at their living area not only in emergency cases but also in normal cases by voice, images
and text. Further, we developed some new Speaker Devices for unfamiliar users of ICT devices such as elderly
users. Those users can receive the service of LABS as like as a television or a radio broadcast terminal anytime
and every day. In this paper, we describe the concept of LABS and introduces the developed new systems and
devices. |
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Address |
Iwate Preefctural University, Japan;Sato Watch Ltc.;Holonic Systems Ltc. |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
|
Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T9- Universal Design of ICT in Emergency Management |
Expedition |
|
Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
|
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Notes |
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Approved |
no |
|
|
Call Number |
|
Serial |
1913 |
|
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Author |
Juan Francisco Carías; Leire Labaka; Jose Maria Sarriegi; Andrea Tapia; Josune Hernantes |
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Title |
The Dynamics of Cyber Resilience Management |
Type |
Conference Article |
|
Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
|
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Volume |
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Issue |
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Pages |
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Keywords |
Cyber resilience, System dynamics, Critical infrastructure protection (CIP) |
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Abstract |
With the latent problem of security breaches, denial of service attacks, other types of cybercrime, and cyber incidents in general, the correct management of cyber resilience in critical infrastructures has become a high priority. However, the very nature of cyber resilience, requires managing variables whose effects are hard to predict, and that could potentially be expensive. This makes the management of cyber resilience in critical infrastructures a substantially hard task.
To address the unpredictability of the variables involved in managing cyber resilience, we have developed a system dynamics model that represents the theoretical behaviors of variables involved in the management of cyber resilience. With this model, we have simulated different scenarios that show how the dynamics of different variables act, and to show how the system would react to different inputs. |
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Address |
University of Navarra, TECNUN, Spain;Pennsylvania State University, USA |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T1- Analytical Modeling and Simulation |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
1879 |
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Author |
Jorge Vargas-Florez; Grovher Palomino; Andres Flores; Gloria Valdivia; Carlos Saito; Daniel Arteaga; Mario Balcazar; Miguel Fernandez; José Oliden |
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Title |
Identifying potential landslide location using Unmanned Aerial Vehicles (UAVs) |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Susceptibility mapping, disaster prevention, landslides, drones |
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Abstract |
The impact of landslides is determined by the previous state of vulnerability and susceptibility present in a
community. Vulnerability is related to physical aspects and susceptibility is defined as the propensity or
tendency of an area to be affected by the occurrence of a given hazard. Knowledge of geography allows us to
characterize and measure some of these factors. For example, in landslides called huaicos in Peru, these are
related to the existence of a slope and soil type of the hills favorable to the loosening of land masses, as well as
the increase in rainfall and the presence of streams. The use of UAVs (Unmanned Aerial Vehicles, commonly
called drones) for the identification of susceptibility zones is presented in this paper. The result is positive for
using the georeferenced data to identify potential landslide flow using as unique criterion surface slopes. |
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Address |
Pontifical Catholic University of Peru, Peru;National University of Engineering, Peru |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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|
Notes |
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Approved |
no |
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Call Number |
|
Serial |
1887 |
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Author |
Johan Nordström; Björn Johan Erik Johansson |
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Title |
Supporting Inter-Organizational Learning – A Review of Post-Excercise Knowledge Sharing |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Inter-organizational learning, knowledge sharing, exercise reports, double loop learning |
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Abstract |
Inter-organisational learning from exercises and response operations is crucial for improving overall response capacity for coping with cross-domain crisis events. In order to compile and disseminate experiences and acquired knowledge in the form of lessons learned, post-exercise reports are written. This paper presents a review of 17 Swedish post-exercise reports. The review was conducted with the aim to investigate whether such reports contained enough information to support inter-organisational learning, i.e. if learning goals were stated, how the event was described, method for evaluation, conclusions, and whether recommendations for change were sufficient for supporting inter-organisational learning. It was found that most reports did not support organisational development and lacked recommendations that were useful outside the own organisation or the
context of the specific exercise scrutinised. The results indicate the need for an exercise evaluation framework for inter-organisational exercises. |
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Address |
Swedish Defence Research Agency |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T2- Command and control studies |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
1858 |
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Author |
Joao Moreira; Luis Ferreira Pires; Marten Sinderen |
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Title |
SEMIoTICS: Semantic Model-Driven Development for IoT Interoperability of Emergency Services |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Semantic interoperability, early warning system, internet-of-things, SEMIoTICS, IoT platform |
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Abstract |
Modern early warning systems (EWSs) use Internet-of-Things (IoT) technologies to realize real-time data acquisition, risk detection and message brokering between data sources and warnings? destinations. Interoperability is crucial for effective EWSs, enabling the integration of components and the interworking with other EWSs. IoT technologies potentially improve the EWS efficiency and effectiveness, but this potential can only be exploited if interoperability challenges are properly addressed. The three main challenges for interoperability are: (1) achieving semantic integration of a variety of data sources and different representations; (2) supporting time- and safety-critical applications with performance and scalability; and (3) providing data analysis for effective responses with personalized information requirements. In this paper, we describe the ?SEmantic Model-driven development for IoT Interoperability of emergenCy serviceS? (SEMIoTICS) framework, which supports the development of semantic interoperable IoT EWSs. The framework has been validated with a pilot performed with accident use cases at the port of Valencia. The validation results show that it fulfils the requirements that we derived from the challenges above. |
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Address |
U.Twente, Netherlands, The |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T10- Knowledge, Semantics and AI for RISK and CRISIS management |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
1888 |
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Author |
Jo Erskine Hannay; Yelte Kikke |
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Title |
Structured crisis training with mixed reality simulations |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Exercise management, Mixed reality, Simulation, Deliberate practice, ADL, MSaaS, C2Sim, ExConSim, ExManSim |
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Abstract |
We argue that current technology for crisis training does not explicitly cater well enough for managing training
objectives and skill building metrics throughout the lifespan of training. We suggest how successful crisis training
may be enabled by interoperating next-generation exercise management tools with mixed-reality simulations. We
propose an architecture consisting of (1) a front-end in which training objectives, essential skills, corresponding
events and metrics can be declared, (2) a back-end consisting of simulations that implement the events and metrics
and (3) a middleware which transfers information between the front-end and back-end to enable semi-automatic
composition of the simulations and performance analysis. The purpose of this architecture is to facilitate learning
through the principles of deliberate practice. We indicate where emerging technologies are necessary to achieve this. |
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Address |
Univeristy of Oslo, Norway |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T15- Open Track |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
|
Approved |
no |
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Call Number |
|
Serial |
1896 |
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Author |
Jess Kropczynski; Rob Grace; Shane Halse; Doina Caragea; Cornelia Caragea; Andrea Tapia |
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Title |
Refining a Coding Scheme to Identify Actionable Information on Social Media |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Dispatch, Public Safety Answering Point (PSAP), Social Media, Qualitative Coding. |
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Abstract |
This paper describes the use of a previously established qualitative coding scheme developed through a design workshop with public safety professionals, and applied the schema to social media data collecting during crises. The intention of applying this scheme to existing crisis datasets was to acquire training data for machine learning. Applying the coding scheme to social media data revealed that additional subcategories of the coding scheme are necessary to satisfy information requirements necessary to dispatch first responders to an incident. The coding scheme was refined and adapted into a set of instructions for qualitative coders on Amazon Mechanical Turk. The contribution of this work is a coding scheme that is more directly related to the information needs of public safety professionals. Implications of early results using the refined coding scheme are discussed in terms of proposed automated methods to identify actionable information for dispatch of first responders during emergency incidents. |
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Address |
Uiniversity of Cincinnati, United States of America;The Pennsylvania State University;Kansas State University;University of Illinois at Chicago |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T8- Social Media in Crises and Conflicts |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
|
Approved |
no |
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Call Number |
|
Serial |
1981 |
|
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Author |
Jens Kersten; Anna Kruspe; Matti Wiegmann; Friederike Klan |
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Title |
Robust filtering of crisis-related tweets |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Filtering, Convolutional Neural Networks, Natural Disasters, Twitter, Model Transferability |
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Abstract |
Social media enables fast information exchange and status reporting during crises. Filtering is usually required to
identify the small fraction of social media stream data related to events. Since deep learning has recently shown to
be a reliable approach for filtering and analyzing Twitter messages, a Convolutional Neural Network is examined for
filtering crisis-related tweets in this work. The goal is to understand how to obtain accurate and robust filtering
models and how model accuracies tend to behave in case of new events. In contrast to other works, the application
to real data streams is also investigated. Motivated by the observation that machine learning model accuracies
highly depend on the used data, a new comprehensive and balanced compilation of existing data sets is proposed.
Experimental results with this data set provide valuable insights. Preliminary results from filtering a data stream
recorded during hurricane Florence in September 2018 confirm our results. |
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Address |
German Aerospace Center (DLR), Germany;Bauhaus-Universität Weimar |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T8- Social Media in Crises and Conflicts |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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|
Notes |
|
Approved |
no |
|
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Call Number |
|
Serial |
1909 |
|
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|
Author |
Jennifer Lisa Chan; Gabriel Nam; Allison G. Marshall; Hemant Purohit |
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Title |
Trends in Humanitarian Health Information during 2010 Haiti Earthquake: Motivation for Curating Domain Knowledge Base |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
information management, health information, knowledge bases, curation |
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Abstract |
Health response plays a major role during disasters and information management plays a crucial role in situational awareness to adapt to evolving needs. Health organizations exchange information often through narrative-based documents called situation reports. Although situation reports are widely shared, they are an increasingly challenging information source from which to infer knowledge for situational awareness. This paper analyzed health information from traditional health reports using mixed methods during the aftermath of the 2010 Haiti Earthquake and provides insights into the patterns of what?s being said, how it?s being said, and trends over time. Opportunities lie ahead to analyze narrative documents at scale by combining human knowledge from qualitative coding with machine intelligence. In addition, developing unifying health domain ontologies representing diverse humanitarian health concepts will advance computational techniques to improve
the efficiency and accuracy of retrieving knowledge for improved situational awareness and potential decision
making during humanitarian health response. |
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Address |
Northwestern University, United States of America;University of Pennsylvania,United States of America;Temple University, United States of America;George Mason University, United States of America |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T11- Community Engagement & Healthcare Systems |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
|
Approved |
no |
|
|
Call Number |
|
Serial |
1930 |
|
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|
Author |
Ingo J. Timm; Bernhard Hess; Fabian Lorig |
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Title |
Data Acquisition for ad-hoc Evacuation Simulations of Public Buildings |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Evacuation of Public Buildings, Data Fusion, Data Aggregation, Crowd Simulation, Social Simulation |
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Abstract |
Crowd simulation is suitable to evaluate evacuation strategies but its validity strongly depends on the quality of input
data. The acquisition of adequate input data is particularly challenging when simulating the evacuation of public
buildings such as universities. As they are publicly accessible, the exact number of persons on site is unknown.
Yet, to investigate specific emergency situations by means of simulation, e.g. amok or fire, information is required
about distribution and amount of people within the building at a specific point of time. Due to data privacy, public
buildings do not implement access control. However, data artifacts are available in various information systems,
e.g., wifi data, room administration. Our hypothesis is, that the acquisition and fusion of such data artifacts is
sufficient to enable data-based ad-hoc simulation of evacuation scenarios as decision support for the operations
management. To this end, we introduce a procedure for the situation-dependent collection fusion of simulation
input data. Furthermore, a case study is provided to demonstrate the feasibility of the approach. |
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Address |
Trier University, Germany |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T5- Intelligent and Semantic Web Systems |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1949 |
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Author |
Humasak Simanjuntak; Fabio Ciravegna |
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Title |
Semantic Understanding of Human Mobility Lifestyle to support Crisis Management |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
lifestyle patterns, mobility patterns, semantic annotations, semantic mobility |
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Abstract |
In this paper, we propose a method for understanding the semantics of mobility (mainly related to lifestyle)
patterns based on stay point detection from tracking data. The method identifies the context (trip purpose and
visited point of interest) of tracking data by using large-scale data collection infrastructure. We evaluate our
method with a tracking dataset in Birmingham (European project SETA) generated by 534 users from
September 2017 to September 2018. To this end, we compare insights from the tracking data with check-in
mobility in social media. The results show that both data capture rich human lifestyle features related to the
visited point of interest. Our study provides solid evidence that lifestyle patterns from tracking and social media
data can indeed be useful for understanding and gauging the level of disruption after a crisis, as it is possible to
check the deviation of habits from normal conditions and post-crisis. |
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Address |
The University of Sheffield, United Kingdom |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1874 |
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Author |
Humaira Waqas; Muhammad Imran |
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Title |
#CampFireMissing: An Analysis of Tweets About Missing and Found People From California Wildfires |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
social media, Twitter, missing and found people, California wildfires, disaster response |
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Abstract |
Several research studies have shown the importance of social media data for humanitarian aid. Among others,
the issue of missing and lost people during disasters and emergencies is crucial for disaster managers. This work
analyzes Twitter data from a recent wildfire event to determine its usefulness for the mitigation of the missing and
found people issue. Data analysis performed using various filtering techniques, and trend analysis revealed that
Twitter contains important information potentially useful for emergency managers and volunteers to tackle this
issue. Many tweets were found containing full names, partial names, location information, and other vital clues
which could be useful for finding missing people. |
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Address |
Qatar Computing Research Institute, Qatar |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T8- Social Media in Crises and Conflicts |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1915 |
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