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Author (up) Elina Ramsell; Tobias Andersson Granberg; Sofie Pilemalm pdf  isbn
openurl 
  Title Identifying functions for smartphone based applications in volunteer emergency response 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  
  Keywords Voluntary emergency response, ICT, smartphone application, end users, co-production.  
  Abstract Emergency response organisations struggle with resource constraints and thereby faces challenges in providing

high-quality public services. Utilising voluntary first responders is one way to address these challenges. There

are different types of volunteers who can help at an emergency site, e.g. citizen volunteers or voluntary

professionals from other occupations. To successfully engage with and utilise these resources, adequate

information and communication technology (ICT) is necessary. In this meta-study, combining and further

exploring two previous studies, the aim is to identify, analyse and evaluate suitable functions for smartphone

applications that can be used to dispatch and support volunteers. The results show that the functions can be

divided into essential ones that are necessary for the response to work at all, and others that might contribute to a

more effective response. The study also shows that the same functions can be used for different volunteer

groups.
 
  Address Linköping University, Sweden  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T11- Community Engagement & Healthcare Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1876  
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Author (up) Eric Daudé; Kevin Chapuis; Clément Caron; Alexis Drogoul; Benoit Gaudou; Sebastien Rey-Coyrehourq; Arnaud Saval; Patrick Taillandier; Pierrick Tranouez pdf  isbn
openurl 
  Title ESCAPE: Exploring by Simulation Cities Awareness on Population Evacuation 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  
  Keywords Evacuation, Agent-based modelling, Crisis event, GAMA platform  
  Abstract Partial or total horizontal evacuation of populations in urban areas is an important protection measure against a natural or technological risk. However, casualties during massive displacement in a context of stress and in a potentially degraded environment may be high due to non-compliance with instructions, accidents, traffic jams, incivilities, lack of preparation of civil security or increased exposure to hazards. Working in evacuation plans is therefore fundamental in avoiding casualties caused by improvisation and in promoting self-evacuation whenever possible. Since it is impossible to re-create the conditions of a crisis on the ground to assess such evacuation plans, there is a need for realistic models in order to evaluate them using simulations. In this paper, we present the ESCAPE software framework that helps in the development of such plans and testing them. In particular, ESCAPE, which uses the GAMA open-source platform as a core component, provides an agent-based simulation tool that supports simulation of the evacuation of a city's population at fine temporal and Geographical scales. The framework was developed such that it works for a wide range of scenarios, both in terms of hazards, geographical configurations, individual behaviors and crisis management. In order to show its adaptability, two applications are presented, one concerning the evacuation of the city of Rouen (France) in the context of a technological hazard and the other pertaining to the evacuation of the district of Hanoi (Vietnam) in the event of floods.  
  Address Université de Normandie, UMR 6266, IDEES, Rouen, France;Sorbonne University, IRD, UMMISCO;University of Rouen Normandie, EA LITIS;University of Toulouse, INRA, MIAT;University of Toulouse Capitole, IRIT  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1884  
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Author (up) Erion Elmasllari pdf  isbn
openurl 
  Title Design and development methods for improving acceptance of IT among emergency responders 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  
  Keywords Acceptance of ICT, Methodology, User Centered Design, UCD  
  Abstract Various sources report a low adoption of IT-based tools in emergency response, as well as a negative attitude of

responders to such tools. The responders? needs, simply put, are not met by the IT-based tools offered to them.

Observing this situation through a user-centered design lens, we note that such problems typically stem from

insufficient or erroneous context analysis. The deficiencies become even more pronounced when considering that

emergency response represents a complex, adaptive socio-technical system. We also note that the appropriate

methodology for designing ER systems is rarely discussed in literature and in research papers. To fill that void, the

present paper discusses a minimal set of techniques that, both in our experience and according to state of the art

practice, can guide developers towards positively-accepted IT systems for emergency response.
 
  Address Fraunhofer FIT, Germany  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T15- Open Track Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1851  
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Author (up) Esteban Bopp; Johnny Douvinet; Damien Serre pdf  isbn
openurl 
  Title Sorting the good from the bad smartphone application to alert residents in case of disasters – Experiments in France 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  
  Keywords Alert, Smartphone application, Major risks  
  Abstract The number of smartphone applications to alert and inform the population in a risk situation in France is too large

and these solutions are still unknow by the population. This study proposes an evaluation protocol based on various

indicators, which take into account the capacity of the applications to send a targeted alert, their attractiveness, the

ability of individuals to emit information and number of hazards considered. The results obtained on 50

applications deployed in France show that very few of them meet the objectives of the alert, in the sense defined

by civil security, because of a single-risk approach, a unique sense of communication, and the low acceptance of

these solutions by citizens.
 
  Address UMR ESPACE 7300 CNRS, Département de Géographie, Université d'Avignon;Ecosystèmes Insulaires Océaniens, UMR 241, Université de la Polynésie Française  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1880  
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Author (up) Fedor Vitiugin; Carlos Castillo pdf  isbn
openurl 
  Title Comparison of Social Media in English and Russian During Emergencies and Mass Convergence Events 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  
  Keywords Social Media, Crisis Informatics, Twitter, Information Extraction.  
  Abstract Twitter is used for spreading information during crisis events. In this paper, we first retrieve event-related information

posted in English and Russian during six disasters and sports events that received wide media coverage in both

languages, using an adaptive information filtering method for automating the collection of about 100 000 messages.

We then compare the contents of these messages in terms of 17 informational and linguistic features using a

difference in differences approach. Our results suggest that posts in each language are focused on different types

of information. For instance, almost 50% of the popular people mentioned in these messages appear exclusively

in either the English messages or the Russian messages, but not both. Our results also suggest differences in the

adoption of platform mechanics during crises between Russian-speaking and English-speaking users. This has

important implications for data collection during crises, which is almost always focused on a single language.
 
  Address Independent;Universitat Pompeu Fabra  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 1916  
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Author (up) Fiona Jennet McNeill; Diana Bental; Jeremy Bryan; Paolo Missier; Jannetta S. Steyn; Tom Kumar pdf  isbn
openurl 
  Title Communication in Emergency Management through Data Integration and Trust: an introduction to the CEM-DIT system 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  
  Keywords provenance, data matching, data integration, semantic web systems, decision support  
  Abstract This paper discusses the development of the CEM-DIT (Communication in Emergency Management through Data

Integration and Trust) system, which allows decision makers in crises to send out automated data requests to multiple

heterogeneous and potentially unknown sources and interactively determine how reliable, relevant and trustworthy

the responses are. We describe the underlying technology, which is based partially on data integration and matching,

and partly on utilisation of provenance data. We describe our cooperation with the Urban Observatory (UO), which

allows us to develop the system in collaboration with developers of the kind of crisis-relevant data which the system

is designed for. The system is currently in development, and we describe which parts are fully implemented and

which are currently being developed.
 
  Address Heriot-Watt University, Scotland;Coventry University, United Kingdom;Newcastle University, United Kingdom  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T5- Intelligent and Semantic Web Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1961  
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Author (up) Firoj Alam; Ferda Ofli; Muhammad Imran pdf  isbn
openurl 
  Title CrisisDPS: Crisis Data Processing Services 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  
  Keywords Social media, humanitarian data processing, text classification, application programming interfaces, data processing services  
  Abstract Over the last few years, extensive research has been conducted to develop technologies to support humanitarian aid

tasks. However, many technologies are still limited as they require both manual and automatic approaches, and

more importantly, are not ready to be integrated into the disaster response workflows. To tackle this limitation, we

develop automatic data processing services that are freely and publicly available, and made to be simple, efficient,

and accessible to non-experts. Our services take textual messages (e.g., tweets, Facebook posts, SMS) as input to

determine (i) which disaster type the message belongs to, (ii) whether it is informative or not, and (iii) what type of

humanitarian information it conveys. We built our services upon machine learning classifiers that are obtained from

large-scale comparative experiments utilizing both classical and deep learning algorithms. Our services outperform

state-of-the-art publicly available tools in terms of classification accuracy.
 
  Address Qatar Computing Research Institute, Qatar  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1891  
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Author (up) Flavio Dusse; Renato Novais; Manoel Mendonça pdf  isbn
openurl 
  Title Understanding the Main Themes Towards a Visual Analytics Based Model for Crisis Management Decision-Making 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  
  Keywords Crisis Management, Decision-Making, Visual Analytics, Computational Model.  
  Abstract Crisis Management (CM) refers to the ability to deal with crisis tasks in different phases and iterations. People working in a crisis are generally under stress to make the right decision at the right time. They have to process large amounts of data and to assimilate the received information in an intuitive and visual way. Visual Analytics (VA) is potentially useful to analyze and understand the huge amount of data in several areas including in a crisis. We designed a survey protocol to understand which themes influence visualizations to support CM. In previous work, we carried out systematic mapping studies, analysis of official documents, ethnographic studies, questionnaires during the large events held in Brazil in recent years. In this work, we interviewed eight CM specialists. We analyzed this data qualitatively with the coding technique. Then we evaluated the coding results with the focus group technique. With the results, we identified the relationships between the visual needs and other main themes of influence for CM. This thematic synthesis enabled us to build a draft model based on VA.

We hope that, after future cycles of validations and improvements, the agencies that manage crises might use this model as a reference in their activities of knowledge production and decision-making.
 
  Address UFBA, Brazil;IFBA, Brazil  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1878  
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Author (up) Florent Castagnino pdf  isbn
openurl 
  Title What can we learn from a crisis management exercise ? Trusting social media in a french firefighters' department 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  
  Keywords Social Media, crisis management exercise, firefighters, methodology  
  Abstract This paper sets out the methodology and the temporary results of an ongoing research project on the use of social media in crisis management (in France). It discusses the benefits and limits to use an emergency crisis exercise for research purposes. It describes an observation protocol and a coding method that could be replicate to survey further exercises. Some possible processing of the observation data is exposed, and further visualizations of the data are still in progress. One of the first analytical results tackles the way Var?s firefighters consider social media information. For now, social media seem to be regarded as questionable because they do not easily fit into the organizational routine. At the same time, the awareness of the need to use social media is quite strong. On the analytical level, the paper tries to use sociological concepts to describe and explain some results.  
  Address Telecom ParisTech, France  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T3- Ethical, Legal and Social Issues Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1967  
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Author (up) Florian Vandecasteele; Krishna Kumar; Kenzo Milleville; Steven Verstockt pdf  isbn
openurl 
  Title Video Summarization And Video Highlight Selection Tools To Facilitate Fire Incident 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  
  Volume Issue Pages  
  Keywords machine learning, video data, filtering, crisis management, user-evaluation  
  Abstract This paper reports on the added value of combining different types of sensor data and geographic information for fire incident management. A survey was launched within the Belgian fire community to explore the need of added value and the use of new types of sensor data during a fire incident. This evaluation revealed that people are visually-oriented and that video footages and images are of great value to gain insights in a particular problem. However, due to the limited available time (i.e., fast decisions need to be taken) and the large amount of cameras it is not feasible to analyze all video footages sequentially. To solve this problem we propose a video summarization mechanism and a video highlight selection tool based on the automatic generated image and video tags.  
  Address Ghent University – IDLAB, Belgium  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T10- Knowledge, Semantics and AI for RISK and CRISIS management Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1857  
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Author (up) Frâncila Weidt Neiva; Marcos R. S. Borges pdf  isbn
openurl 
  Title Sharing Gut Feelings to Support Collaborative Decision Making 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  
  Keywords Knowledge sharing, intuitive teams, collaborative intuitions  
  Abstract Expertise-based intuition plays a key role in decision making, especially in complex environments as those

involved with crisis and emergency domains where decisions often need to be made on the basis of dynamic,

incomplete, and/ or contradictory information. In such environments, a deliberative analysis is often impossible

or inefficient. Using teams to make collaborative decisions in complex environments can bring benefits to

organizations, but the complexity of supporting this scenario also increases. The present work proposes a

solution based on graphs to support the sharing of the intuition rationale in teams aiming at an accelerated

expertise. The development of the proposal is part of a methodological context of design science research. In

this paper we report the execution of one of the expected cycles that explores the use of generated artifacts in

practice that then produced insights for the proposed computational support.
 
  Address Universidade Federal do Rio de Janeiro (UFRJ), Brazil;Universidade Federal do Rio de Janeiro (UFRJ), Brasil  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T5- Intelligent and Semantic Web Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1894  
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Author (up) Gabriela C Barrera; Maria C Yang pdf  isbn
openurl 
  Title Evaluation of Digital Volunteers using a Design Approach: Motivations and Contributions in Disaster Response 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  
  Keywords Crowd-sourcing, Social Media, Digital Volunteer, Spatial Data Quality, User Design  
  Abstract With the growth of social media and crowdsourcing in disaster response, further research is needed on the motivations

and contributions of digital volunteers. This study applies a user-centered design approach to understanding how we

might make better tools to support digital volunteers. This user-centered design approach involves stated preference

elicitation methods through an online survey to understand what digital volunteers want in such tools. Through

choice-based conjoint analysis, we contribute to mixed-methods research to gain additional insight into motivations

and user preferences for a set of design features that might be incorporated into an online tool specifically for digital

volunteers. Initial results show preferences for measures of success that were not monetary, which aligned with

directly stated motivations for volunteering. Our findings corroborate with previous research in that feedback to

volunteers is very important, as well as being able to measure the impact of their work.
 
  Address MIT, Cambridge, MA, United States of America  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1970  
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Author (up) Guillaume Lambert; Bruno Fontaine; Michel Monneret; Mourad Madani pdf  isbn
openurl 
  Title How to build an innovative C2 system supporting individual-centric emergency needs ? 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  
  Keywords Emergency hub, personalization, cloud, NG112, AI.  
  Abstract The paper describes the need for, and work in progress to provide the French population with

a modern emergency communication infrastructure that uses open source components to

deliver real time communications from smart phones as well as traditional routes.

The article puts forward the vision of the NexSIS 18-112 project aimed at designing and

implementing the next generation AI enhanced emergency services response platform for

France. The vision and ambition of the NexSIS 18-112 system is to rewrite the command and

control system from scratch at a national level, providing it with state of the art functionalities.

Anticipating the future deployment of 5G networks, the work described in the article explains

how to ensure the transition of the legacy emergency operation systems to an operational IPbased

model, capable of offering voice, video, Instant Messaging, and Real Time Text (RTT)

services to emergency services? operators.
 
  Address French Ministry of Interior, France;ToMCo, digital strategy advisor  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T5- Intelligent and Semantic Web Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1907  
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Author (up) Guoqin Ma; Chittayong Surakitbanharn pdf  isbn
openurl 
  Title Predicting Hurricane Damage Using Social Media Posts Coupled with Physical and Socio-Economic Variables 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  
  Keywords Social media, disaster management, damage prediction  
  Abstract During a natural disaster or emergency event, individual social media posts or hot spots may not necessarily correlate

to the most devastated areas. To better understand the correlation between social media and physical damage, we

compare Tweets, data about the physical environment, and socio-economic factors with insurance claim information

(as a proxy for physical damage) from 2017 Hurricane Irma in the state of Florida. We use machine learning

to identify relevant Tweets, sensitivity analyses to identify socio-economic factors, and statistical regression to

determine the predictive capability of insurance claims as a proxy for damage. We find that Tweets alone result in a

poorly fitted regression model of insurance claims, but the inclusion of physical features (e.g., power outages, wind

level) and socio-economic factors (e.g., population density, education, Internet access) improves the model?s fit.

Such models contribute to the knowledge base that may allow social media to predict damage in real-time.
 
  Address Stanford University, United States of America  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1955  
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Author (up) Hans C.A. Wienen; Faiza A. Bukhsh; Eelco Vriezekolk; Roel J. Wieringa pdf  isbn
openurl 
  Title Applying Generic AcciMap to a DDOS Attack on a Western-European Telecom Operator 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  
  Keywords Telecommunications, AcciMap, accident analysis, incident analysis  
  Abstract After a large incident on a telecommunications network, the operator typically executes an incident analysis to

prevent future incidents. Research suggests that these analyses are done ad hoc, without a structured approach. In

this paper, we conduct an investigation of a large incident according to the AcciMap method. We find that this

method can be applied to telecommunications networks with a few small changes; we find that such a structured

approach yields many more actionable recommendations than a more focused approach and we find that both the

onset of an incident and the resolution phase merit their own analysis. We also find that such an analysis costs a

lot of effort and we propose a more efficient approach to using this method. An unexpected outcome was that

AcciMap may also be very useful for analyzing crisis organizations.
 
  Address University of Twente, Netherlands, The;Agentschap Telecom, The Netherlands  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T7- Planning, Foresight and Risk Analysis Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1925  
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Author (up) Haya Aldossary; Graham Coates pdf  isbn
openurl 
  Title A Preliminary Optimisation-based Approach to Coordinate the Response of Ambulances in Mass Casualty Incidents 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  
  Keywords MCIs, Optimization-based approach, Co-ordination, Emergency response.  
  Abstract Mass Casualty Incidents (MCIs) may occur with no notice and require a rapid response to manage the casualties and arrange their transportation to hospitals. MCIs may result in different numbers of casualties and fatalities. Further, response time can play a crucial role in reducing fatalities and protecting lives. This paper reports on a preliminary optimisation-based approach, termed MCIER, which has been developed to co-ordinate the response of ambulances to multiple MCIs. In this approach, a realistic representation of the road network is modelled for the geographical area of interest. Also, a Neighbourhood Search Algorithm (NSA) has been developed in order to find the optimum solution to the problem under consideration. A hypothetical case study of a MCI in Newcastle-upon-Tyne has been considered to investigate the effect on response time of the time of day, and day of week, on which the incident occurs.  
  Address Newcastle University, United Kingdom  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1952  
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Author (up) Hoang Nam Ho; Mourad Rabah; Ronan Champagnat; Frédéric Bretrand pdf  isbn
openurl 
  Title Towards an Automatic Assistance in Crisis Resolution with Process Mining 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  
  Keywords Crisis management, traces, response plan, clustering, process mining.  
  Abstract To deal with a crisis situation, experts must undertake a chain of activities, called process, to minimize crisis

consequences. To assist the expert in making decision in crisis resolutions, authors propose a method aiming at

discovering crisis response processes. This method is based on a two-step strategy: the first step classifies the

system?s traces, representing stakeholders? past actions, into different sets, where each one represents a set of

response processes according to a specific context; the second step uses process mining algorithm to discover

the corresponding response plan process model based on the obtained chain of activities for each previously

classified context. These response plans will be a referenced aid for experts while making crisis resolution,

according to each context. The proposed approach is illustrated on the traces issued from the crisis caused by the

2010 Xynthia storm in France.
 
  Address Université de La Rochelle / L3i, France;Kereon intelligence, France  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T7- Planning, Foresight and Risk Analysis Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1947  
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Author (up) Humaira Waqas; Muhammad Imran pdf  isbn
openurl 
  Title #CampFireMissing: An Analysis of Tweets About Missing and Found People From California Wildfires 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  
  Keywords social media, Twitter, missing and found people, California wildfires, disaster response  
  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.
 
  Address Qatar Computing Research Institute, Qatar  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1915  
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Author (up) Humasak Simanjuntak; Fabio Ciravegna pdf  isbn
openurl 
  Title Semantic Understanding of Human Mobility Lifestyle to support Crisis 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  
  Volume Issue Pages  
  Keywords lifestyle patterns, mobility patterns, semantic annotations, semantic mobility  
  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.
 
  Address The University of Sheffield, United Kingdom  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T6- Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1874  
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Author (up) Ingo J. Timm; Bernhard Hess; Fabian Lorig pdf  isbn
openurl 
  Title Data Acquisition for ad-hoc Evacuation Simulations of Public Buildings 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  
  Keywords Evacuation of Public Buildings, Data Fusion, Data Aggregation, Crowd Simulation, Social Simulation  
  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.
 
  Address Trier University, Germany  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T5- Intelligent and Semantic Web Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1949  
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Author (up) Jennifer Lisa Chan; Gabriel Nam; Allison G. Marshall; Hemant Purohit pdf  isbn
openurl 
  Title Trends in Humanitarian Health Information during 2010 Haiti Earthquake: Motivation for Curating Domain Knowledge Base 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  
  Keywords information management, health information, knowledge bases, curation  
  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.
 
  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  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T11- Community Engagement & Healthcare Systems Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1930  
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Author (up) Jens Kersten; Anna Kruspe; Matti Wiegmann; Friederike Klan pdf  isbn
openurl 
  Title Robust filtering of crisis-related tweets 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  
  Keywords Filtering, Convolutional Neural Networks, Natural Disasters, Twitter, Model Transferability  
  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.
 
  Address German Aerospace Center (DLR), Germany;Bauhaus-Universität Weimar  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1909  
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Author (up) Jess Kropczynski; Rob Grace; Shane Halse; Doina Caragea; Cornelia Caragea; Andrea Tapia pdf  isbn
openurl 
  Title Refining a Coding Scheme to Identify Actionable Information on Social Media 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  
  Keywords Dispatch, Public Safety Answering Point (PSAP), Social Media, Qualitative Coding.  
  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.  
  Address Uiniversity of Cincinnati, United States of America;The Pennsylvania State University;Kansas State University;University of Illinois at Chicago  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T8- Social Media in Crises and Conflicts Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1981  
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Author (up) Jo Erskine Hannay; Yelte Kikke pdf  isbn
openurl 
  Title Structured crisis training with mixed reality simulations 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  
  Keywords Exercise management, Mixed reality, Simulation, Deliberate practice, ADL, MSaaS, C2Sim, ExConSim, ExManSim  
  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.
 
  Address Univeristy of Oslo, Norway  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T15- Open Track Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1896  
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Author (up) Joao Moreira; Luis Ferreira Pires; Marten Sinderen pdf  isbn
openurl 
  Title SEMIoTICS: Semantic Model-Driven Development for IoT Interoperability of Emergency Services 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  
  Keywords Semantic interoperability, early warning system, internet-of-things, SEMIoTICS, IoT platform  
  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.  
  Address U.Twente, Netherlands, The  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T10- Knowledge, Semantics and AI for RISK and CRISIS management Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1888  
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