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	Author	Ahmed Abdeltawab Abdelgawad
	Title	Reliability of expert estimates of cascading failures in Critical Infrastructure			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	Expert assessment; Desktop exercise; Tabletop exercise; Modeling and simulation; Dynamic complexity
	Abstract	Owing to the complexity of Critical Infrastructures and the richness of issues to analyze, numerous approaches are used to model the behavior of CIs. Organizations having homeland security as mission often conduct desktop-based simulations using judgmental assessment of CI interdependencies and cascading failures. Expert estimates concern direct effects between the originally disrupted CI sector and other sectors. To better understand the magnitude of aggregate cascading effects, we developed a system dynamics model that uses expert estimates of cascading failures to compare the aggregate effect of cascading failures with the primary direct cascading failures. We find that the aggregate effect of compounded cascading failures becomes significantly greater than the primary cascading failures the longer the duration of the original disruption becomes. Our conceptually simple system dynamics model could be used to improve desktop-based exercises, since it illustrates consequences that go beyond judgmental assessment.
	Address	Centre for Integrated Emergency Management (CIEM), University of Agder, 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	T1- Analytical Modeling and Simulation	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1703
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	Author	Ahmed Abdeltawab Abdelgawad; Tina Comes
	Title	Evaluation Framework for the iTRACK Integrated 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	Evaluation Framework, Software Testing, Software Usability, Software Usefulness, Humanitarian Disaster
	Abstract	Evaluation and testing are major steps in the development of any information system, particularly if it is to be used in high-risk contexts such as conflicts. While thus far there are various approaches for testing against technology requirements; usability or usefulness, there is a lack of a comprehensive evaluation framework that combines the three elements. The lack of such a framework and commonly agreed standards constitutes a barrier for innovation, and at the same time imposes risks to responders if the technology is introduced without proper testing. This paper aims to close this gap. Based on a reviewing of evaluation methods and measurement metrics, we design a comprehensive evaluation framework including common code quality testing metrics, usability testing methods, subjective usefulness questionnaires, and performance indicators. We demonstrate our approach by using the example of an integrated system for the safety and security of humanitarian missions, and we highlight how our approach allows measuring the system?s quality and usefulness.
	Address	Centre for Integrated Emergency Management (CIEM), University of Agder, 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	T12- Tool Talks	Expedition		Conference	16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
	Notes				Approved	no
	Call Number				Serial	1869
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	Author	Ahmed Al-Sadi; Thelma Moses; Saed Altawabeyeh
	Title	iAWHINA: Towards Designing an Offline Disaster Mobile Application			Type	Conference Article
	Year	2023	Publication	Proceedings of the ISCRAM Asia Pacific Conference 2022	Abbreviated Journal	Proc. ISCRAM AP 2022
	Volume		Issue		Pages	103-110
	Keywords	UI Design; User Experience; Disaster Mobile Applications
	Abstract	The aim of this paper is to present the design stages of a built-for-purpose disaster response mobile application called iAwhina. The authors propose to design iAwhina as an interactive user-friendly offline mobile application that provides flawless user experience to support and aid in emergency response situations. The prototype works in both online and offline modes, using ad hoc network technology. The design process followed during the development of the user interface is based on a set of usability criteria that are presented in this paper. A systematic literature review on the usability criteria for disaster mobile applications and discussions with industry experts helped to finalize the user interface elements that will enhance the usability of the application. The relevant features that will be included in the application were drawn from literature. A discussion on how the design process plays a critical role in designing disaster mobile applications is also presented.
	Address	Whitireia Community Polytechnic & Wellington Institute of Technology; Wellington Institute of Technology; University of Auckland
	Corporate Author				Thesis
	Publisher	Massey Unversity	Place of Publication	Palmerston North, New Zealand	Editor	Thomas J. Huggins, V.L.
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-473-66845-7	Medium
	Track	Information Systems for Emergency Management	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2484
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	Author	Ahmed Alnuhayt; Suvodeep Mazumdar; Vitaveska Lanfranchi; Frank Hopfgartner
	Title	Understanding Reactions to Misinformation – A Covid-19 Perspective			Type	Conference Article
	Year	2022	Publication	ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2022
	Volume		Issue		Pages	687-700
	Keywords	Misinformation; social reactions; twitter; people; COVID-19
	Abstract	The increasing use of social media as an information source brings further challenges – social media platforms can be an excellent medium for disseminating public awareness and critical information, that can be shared across large populations. However, misinformation in social media can have immense implications on public health, risking the effectiveness of health interventions as well as lives. This has been particularly true in the case of COVID-19 pandemic, with a range of misinformation, conspiracy theories and propaganda being spread across social channels. In our study, through a questionnaire survey, we set out to understand how members of the public interact with different sources when looking for information on COVID-19. We explored how participants react when they encounter information they believe to be misinformation. Through a set of three behaviour tasks, synthetic misinformation posts were provided to the participants who chose how they would react to them. In this work in progress study, we present initial findings and insights into our analysis of the data collected. We highlight what are the most common reactions to misinformation and also how these reactions are different based on the type of misinformation.
	Address	Information School University of Sheffield; Information School University of Sheffield; Computer Science University of Sheffield; Information School University of Sheffield
	Corporate Author				Thesis
	Publisher		Place of Publication	Tarbes, France	Editor	Rob Grace; Hossein Baharmand
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-82-8427-099-9	Medium
	Track	Social Media for Crisis Management	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2448
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	Author	Ahmed Laatabi; Benoit Gaudou; Chihab Hanachi; Patricia Stolf; Sébastien Truptil
	Title	Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering			Type	Conference Article
	Year	2022	Publication	ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2022
	Volume		Issue		Pages	116-132
	Keywords	Sheltering; Simulation; Agent-Based Modeling; Optimization; Vehicle Routing Problem; Coupling; Flood Evacuation
	Abstract	Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources.
	Address	University of Toulouse; University of Toulouse; University of Toulouse; University of Toulouse; CEA Tech Occitanie
	Corporate Author				Thesis
	Publisher		Place of Publication	Tarbes, France	Editor	Rob Grace; Hossein Baharmand
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-82-8427-099-9	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2403
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	Author	Ahmed Nagy; Jeannie Stamberger
	Title	Crowd sentiment detection during disasters and crises			Type	Conference Article
	Year	2012	Publication	ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2012
	Volume		Issue		Pages
	Keywords	Bayesian networks; Emergency services; Information systems; Risk management; Social networking (online); Crisis management; Disaster response; Emergency management; Short message; Twitter; Disasters
	Abstract	Microblogs are an opportunity for scavenging critical information such as sentiments. This information can be used to detect rapidly the sentiment of the crowd towards crises or disasters. It can be used as an effective tool to inform humanitarian efforts, and improve the ways in which informative messages are crafted for the crowd regarding an event. Unique characteristics of microblogs (lack of context, use of jargon etc) in Tweets expressed by a message-sharing social network during a disaster response require special handling to identify sentiment. We present a systematic evaluation of approaches to accurately and precisely identify sentiment in these Tweets. This paper describes sentiment detection expressed in 3698 Tweets, collected during the September 2010, San Bruno, California gas explosion and resulting fires. The data collected was manually coded to benchmark our techniques. We start by using a library of words with annotated sentiment, SentiWordNet 3.0, to detect the basic sentiment of each Tweet. We complemented that technique by adding a comprehensive list of emoticons, a sentiment based dictionary and a list of out-of-vocabulary words that are popular in brief, online text communications such as lol, wow, etc. Our technique performed 27% better than Bayesian Networks alone, and the combination of Bayesian networks with annotated lists provided marginal improvements in sentiment detection than various combinations of lists. Â© 2012 ISCRAM.
	Address	Carnegie Mellon Silicon Valley, IMT Lucca Institute of Advanced Studies, United States; Disaster Management Initiative, Carnegie Mellon Silicon Valley, United States
	Corporate Author				Thesis
	Publisher	Simon Fraser University	Place of Publication	Vancouver, BC	Editor	L. Rothkrantz, J. Ristvej, Z.Franco
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780864913326	Medium
	Track	Social Media and Collaborative Systems	Expedition		Conference	9th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	173
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	Author	Ahmed Nagy; Lusine Mkrtchyan; Klaas Van Der Meer
	Title	A CBRN detection framework using fuzzy logic			Type	Conference Article
	Year	2013	Publication	ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2013
	Volume		Issue		Pages	266-271
	Keywords	Data mining; Decision support systems; Disaster prevention; Fuzzy set theory; Information systems; Decision supports; Degree of credibility; Disaster management; Distributed approaches; Evaluation approach; Human activities; Ordered weighted aggregations; Potential values; Fuzzy logic
	Abstract	Identifying a chemical, biological, radiological, and nuclear incident (CBRN) is a challenge. Evidence and health symptoms resulting from CBRN malevolent incident overlap with other normal non malevolent human activities. However, proper fusion of symptoms and evidence can aid in drawing conclusions with a certain degree of credibility about the existence of an incident. There are two types of incidents directly observable, overt, or indirectly observable, covert, which can be detected from the symptoms and consequences. This paper describes a framework for identifying a CBRN incident from available evidence using a fuzzy belief degree distributed approach. We present two approaches for evidence fusion and aggregation; the first, two level cumulative belief degree (CBD) while the second is ordered weighted aggregation of belief degrees (OWA). The evaluation approach undertaken shows the potential value of the two techniques.
	Address	SCK/CEN, Belgium
	Corporate Author				Thesis
	Publisher	Karlsruher Institut fur Technologie	Place of Publication	KIT; Baden-Baden	Editor	T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9783923704804	Medium
	Track	Decision Support Systems	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	804
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	Author	Ahmed S. Khalaf; Poom Pianpak; Sultan A. Alharthi; Zahra NaminiMianji; Ruth Torres; Son Tran; Igor Dolgov; Zachary O. Toups
	Title	An Architecture for Simulating Drones in Mixed Reality Games to Explore Future Search and Rescue Scenarios			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	971-982
	Keywords	Mixed Reality, Drones, Simulations, Disaster Response, Search and Rescue
	Abstract	The proliferation of unmanned aerial systems (i.e., drones) can provide great value to the future of search and rescue. However, with the increase adoption of such systems, issues around hybrid human-drone team coordination and planning will arise. To address these early challenges, we provide insights into the development of testbeds in the form of mixed reality games with simulated drones. This research presents an architecture to address challenges and opportunities in using drones for search and rescue. On this architecture, we develop a mixed reality game in which human players engage with the physical world and with gameplay that is purely virtual. We expect the architecture to be useful to a range of researchers an practitioners, forming the basis for investigating and training within this unique, new domain.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Open Track	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2169
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	Author	Ahmed Seffah; Jean-Pierre Cahier; Aurélien Bénel
	Title	Thinking global acting local: A human-centric pattern to designing information-intensive services for global crisis management			Type	Conference Article
	Year	2011	Publication	8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011	Abbreviated Journal	ISCRAM 2011
	Volume		Issue		Pages
	Keywords	Hardware; Crisis management; Crisis situations; Design Patterns; Global and local informations; Human-centered designs; Local decisions; Local information; Service design; Information systems
	Abstract	Information-intensive services for global crisis situations management can no longer be based on local information only. A global picture is required to be able to make informed and reliable local decisions. It takes also to know how the local decisions one country may take will affect the others. Indeed, each country, city or community needs the whole picture and the key facts in managing the situation in their local area. Therefore, we should provide a proven solution to identify, analyze and mix the relevant information to support informed local decision based on both global and local information. In this paper, we introduce a novel design pattern to face this challenge of making informed local decisions. We also provide two real life examples illustrating the needs of the design pattern.
	Address	ICD/Tech-CICO, STMR (UMR CNRS 6279), Troyes University of Technology, France
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Lisbon	Editor	M.A. Santos, L. Sousa, E. Portela
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789724922478	Medium
	Track	User Centred Design Process for EMIS	Expedition		Conference	8th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	933
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	Author	Ahmed T. Elsergany; Amy L. Griffin; Paul Tranter; Sameer Alam
	Title	Development of a Geographic Information System for Riverine Flood Disaster Evacuation in Canberra, Australia: Trip Generation and Distribution Modelling			Type	Conference Article
	Year	2015	Publication	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2015
	Volume		Issue		Pages
	Keywords	Evacuation; Geographic Information System; Riverine Flooding; Static and Dynamic Population; Trip generation
	Abstract	Given the importance of geographic information for riverine flood evacuations, a geographic information system (GIS) is a vital tool for supporting successful flood evacuation operations. This paper discusses the development of a GIS-based riverine flood evacuation model which used to model trip distributions between flooded areas and relocation shelters. As the ultimate goal of this research is to simulate, model, and optimise a planned evacuation, all components of evacuation time have been considered (e.g., travel time between flooded areas and relocation shelters, warning time for each flooded area, and the time needed for evacuation before these areas get inundated). As well, variation in population (static and dynamic population) within the flooded areas has been considered.
	Address
	Corporate Author				Thesis
	Publisher	University of Agder (UiA)	Place of Publication	Kristiansand, Norway	Editor	L. Palen; M. Buscher; T. Comes; A. Hughes
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9788271177881	Medium
	Track	Geospatial Data and Geographical Information Science	Expedition		Conference	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	yes
	Call Number				Serial	1214
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	Author	Ahmed T. Elsergany; Amy L. Griffin; Paul Tranter; Sameer Alam
	Title	Descriptive and Geographical Analysis of Flood Disaster Evacuation Modelling			Type	Conference Article
	Year	2014	Publication	ISCRAM 2014 Conference Proceedings ? 11th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2014
	Volume		Issue		Pages	55-59
	Keywords	Flood, Disaster, Evacuation, Planning, Transport Planning for Operations.
	Abstract	The planning of evacuation operations for a riverine flood disaster is vital for minimizing their negative impacts on human lives. This paper aims to develop a systematic method to model and plan evacuation trip generation and distribution for riverine floods. To achieve this aim, it adapts the transportation or Hitchcock problem, an operations research technique employed in conventional four-stage transportation modeling, and that is used to plan and model transport in normal situations, so that it is appropriate for flood disaster situations focusing on the first two stages. Concentrating on pre-flood hazard planning, our evacuation modelling considers two types of flood disaster data environments: certain environs, in which all decision variables are known, and uncertain environs, when probabilities of decision variables are considered in the evacuation plans.
	Address	UNSW Canberra
	Corporate Author				Thesis
	Publisher	The Pennsylvania State University	Place of Publication	University Park, PA	Editor	S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780692211946	Medium
	Track	Analytic Modeling and Simulation	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1174
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	Author	Aibek Musaev; De Wang; Calton Pu
	Title	LITMUS: Landslide detection by integrating multiple sources			Type	Conference Article
	Year	2014	Publication	ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2014
	Volume		Issue		Pages	677-686
	Keywords	Bayesian networks; Disasters; Hazards; Information systems; Integration; Landslides; Nasa; Rain; Rain gages; Landslide detection; Litmus; Multi-source integrations; Physical sensors; Social sensors; Data integration
	Abstract	Disasters often lead to other kinds of disasters, forming multi-hazards such as landslides, which may be caused by earthquakes, rainfalls, water erosion, among other reasons. Effective detection and management of multihazards cannot rely only on one information source. In this paper, we evaluate a landslide detection system LITMUS, which combines multiple physical sensors and social media to handle the inherent varied origins and composition of multi-hazards. LITMUS integrates near real-time data from USGS seismic network, NASA TRMM rainfall network, Twitter, YouTube, and Instagram. The landslide detection process consists of several stages of social media filtering and integration with physical sensor data, with a final ranking of relevance by integrated signal strength. Applying LITMUS to data collected in October 2013, we analyzed and filtered 34.5k tweets, 2.5k video descriptions and 1.6k image captions containing landslide keywords followed by integration with physical sources based on a Bayesian model strategy. It resulted in detection of all 11 landslides reported by USGS and 31 more landslides unreported by USGS. An illustrative example is provided to demonstrate how LITMUS' functionality can be used to determine landslides related to the recent Typhoon Haiyan.
	Address	Georgia Institute of Technology, United States
	Corporate Author				Thesis
	Publisher	The Pennsylvania State University	Place of Publication	University Park, PA	Editor	S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780692211946	Medium
	Track	Social Media in Crisis Response and Management	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	801
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	Author	Aibek Musaev; Kimberly Stowers; Jonghun Kam
	Title	Harnessing Data to Create an Effective Drought Management System			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	544-552
	Keywords	Droughts, social response, PageRank
	Abstract	Drought is a complex climate phenomenon with slow emergence and quick vanish, which makes it hard for stakeholders to respond to drought timely. To reduce the vulnerability of our society to future drought, a better understanding of how society responds to drought is critical. Here, we propose a pilot study about social response to a recent California drought through social media. In this study, we identify the most important users using an extension of PageRank algorithm. We investigate the key drivers of the public activity in February, 2014 during the California drought. We also create a word cloud visualization from the most retweeted tweets. Lastly, we specify the information sources from those tweets. The findings of this study inform us that big data can help us to improve the current drought response plans through fundamental understanding of social response to drought, which is applicable to other natural hazards.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Social Media Studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2130
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	Author	Aidan Hamilton; Cécile L’Hermitte
	Title	Supply Chain Resilience in the New Zealand FMCG Sector: A Study of the 2021 Canterbury Flooding			Type	Conference Article
	Year	2023	Publication	Proceedings of the ISCRAM Asia Pacific Conference 2022	Abbreviated Journal	Proc. ISCRAM AP 2022
	Volume		Issue		Pages	204-214
	Keywords	Freight Disruptions; Supply Chain Resilience; Redundancy; Flexibility; Fast-Moving Consumer Goods
	Abstract	Disasters can severely disrupt the flow of Fast-Moving Consumer Goods (FMCGs) in New Zealand (NZ), preventing the replenishment of essential products and causing shortages on retailers’ shelves. This paper presents work-in-process research that aims to better understand how the NZ FMCG retailers build resilience into their replenishment operations to mitigate disruptions in the wake of a disaster. The two key components of supply chain resilience (redundancy and flexibility) are investigated in the context of the 2021 Canterbury flooding. A survey was used to collect data on retailers’ routine replenishment operations, the impacts of the flooding, and practices mitigating disruptions. The preliminary findings suggest that redundant inventory is used to compensate for insufficient flexibility in the NZ freight system (due to not only the lack of adequate secondary roads and alternative modes of transport, but also the centralised distribution system limiting the sources of supply). This study contributes a better understanding of the FMCG distribution and replenishment operations in NZ and highlights the need for public and private investments (e.g. redundant transport infrastructure and distribution facilities). Additional research investigating the most influential investments to improve the ability of the FMCG sector to manage post-disaster freight disruptions would benefit the literature.
	Address	University of Waikato; University of Waikato
	Corporate Author				Thesis
	Publisher	Massey Unversity	Place of Publication	Palmerston North, New Zealand	Editor	Thomas J. Huggins, V.L.
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-473-66845-7	Medium
	Track	Information Systems for Emergency Management	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2494
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	Author	Aïdin Sumic; Emna Amdouni; Thierry Vidal; Hedi Karray
	Title	Towards Flexibility Sharing in Multi-agent Dynamic Planning: The Case of the Health Crisis			Type	Conference Article
	Year	2022	Publication	ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2022
	Volume		Issue		Pages	274-284
	Keywords	crisis management; flexibility; multi-agent system; decision making under uncertainty; negotiation
	Abstract	Planning problems in a crisis context are a highly uncertain environment where health facilities must cooperate in providing health services to their patients. We focus on the health crisis in France due to the COVID19 pandemic. In fact, the lack of appropriate scheduling tools, resources, and communication leads hospitals to be submerged by infected patients and forced to transfer them to other hospitals. In this work we aim to provide a global solution to such planning problems to improve the current French health system. We introduce a cooperative approach called OPPIC (Operational Planning Platform for Inter-healthcare Coordination). OPPIC is based on a decentralized system, where health facilities plan is dynamic, flexible, robust to uncertainty, and respond to goals and optimization criteria. This paper proposed a first planning model to OPPIC and provided a first way of negotiation between health facilities based on their plan’s local and global flexibility.
	Address	Laboratoire Génie de Production Tarbes; Laboratoire Génie de Production Tarbes; Laboratoire Génie de Production Tarbes; Laboratoire Génie de Production Tarbes
	Corporate Author				Thesis
	Publisher		Place of Publication	Tarbes, France	Editor	Rob Grace; Hossein Baharmand
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-82-8427-099-9	Medium
	Track	AI and Intelligent Systems for Crises and Risks	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2417
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	Author	Aikaterini Christodoulou; John Lioumbas; Kostantinos Zambetoglou; Nikoletta Xanthopoulou
	Title	Combined innovative technologies for ensuring water safety in utilities: The city of Thessaloniki case study			Type	Conference Article
	Year	2021	Publication	ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2021
	Volume		Issue		Pages	929-934
	Keywords	Water safety, satellite images, drones, risk assessment
	Abstract	Innovative technologies such as monitoring the quality of surface water aquifers with satellite images, applying UAV (Unmanned Aerial Vehicle) and drone technology for a variety of operations, water quality measurements with improved techniques along with IoT (Internet of Things) and ICT (Information and Communication Technologies), can provide sufficient data for enhancing water safety in urban water utilities. Specifically, these data could be an effective tool for improving risk assessment process and management of water supply systems. Nevertheless, till now, there is a relative lack of published works that validate the efficiency of combing these technologies on water safety processes by incorporating most of them with a systematic way and during real working conditions in water utilities. This work aims to present the preliminary design concept of a platform that embraces innovating water safety technologies planned to be applied to Thessaloniki's Water Supply and Sewerage Co. S.A Standard Operating Procedures (SOP).
	Address	Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA); Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA); Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA); Thessaloniki Water Supply and Sewerage Co. S.A (EYATH SA)
	Corporate Author				Thesis
	Publisher	Virginia Tech	Place of Publication	Blacksburg, VA (USA)	Editor	Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	978-1-949373-61-5	ISBN		Medium
	Track	Technologies for First Responders	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	catchristo@eyath.gr			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2385
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	Author	Ajay Kumar; Johnny Søraker
	Title	Ethics of Information Systems Design in Humanitarian Sector: Cultivating Humanitarian values among Technologists			Type	Conference Article
	Year	2015	Publication	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2015
	Volume		Issue		Pages
	Keywords	Applied Ethics, Computer Ethics; Humanitarian Principles; Red Cross Code of Conduct; Value Sensitive Design
	Abstract	Ethical considerations have been an important part of the humanitarian discourse for decades. The short paper aims to present insights from the point of view of a technology practitioner with field experience in the humanitarian sector and emphasise on the need for continued dialogue about the importance of ethics in design of appropriate technology. The paper advocates for a value sensitive design approach to information systems design and proposes the need for increasing sensitivity towards the issues in technologist working in the area and draws an outline for possible future research.
	Address
	Corporate Author				Thesis
	Publisher	University of Agder (UiA)	Place of Publication	Kristiansand, Norway	Editor	L. Palen; M. Buscher; T. Comes; A. Hughes
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9788271177881	Medium
	Track	Practitioner Cases and Practitioner-Centered Research	Expedition		Conference	ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	yes
	Call Number				Serial	1267
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	Author	Ajay Kumar; Simeon Vidolov
	Title	Humanitarian Effectiveness: Reconsidering the Ethics of Community Engagement and the Role of Technology			Type	Conference Article
	Year	2016	Publication	ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2016
	Volume		Issue		Pages
	Keywords	Ethics of Intercorporeal Engagement; Humanitarian Effectiveness; World Humanitarian Summit
	Abstract	This position paper discusses the ongoing debate on the topic of humanitarian effectiveness and highlights the need to look at the structuring of the humanitarian system from an ethical point of view. The paper makes the argument that any community engagement with the affected population is a matter of ethics and dignity of those needs to be considered as a central focus to the discussion. The paper also discusses how the humanitarian system as a set of technology, tools & practises focusses on efficiency, and overshadows the issues of care by objectifying and turning the affected population into mere numbers. We discuss that technology and organisations are inter-twined and such a discussion of technology cannot be contemplated without considering the traditional institutional practises as a whole.
	Address
	Corporate Author				Thesis
	Publisher	Federal University of Rio de Janeiro	Place of Publication	Rio de Janeiro, Brasil	Editor	A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3425	ISBN	978-84-608-7984-46	Medium
	Track	Ethical, Legal and Social Issues	Expedition		Conference	13th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1365
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	Author	Aladdin Shamoug; Radmila Juric
	Title	Addressing interoperability through the semantic of Information Highway in managing responses in Humanitarian Crises			Type	Conference Article
	Year	2011	Publication	8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011	Abbreviated Journal	ISCRAM 2011
	Volume		Issue		Pages
	Keywords	Highway administration; Information systems; Semantics; Taxonomies; Data repositories; Data retrieval; Donor levels; Humanitarian crises; Software systems; Interoperability
	Abstract	We propose an Information Highway (IH) which addresses interoperability in software systems supporting Humanitarian Crises (HC) and consequently enables efficient decision making at any level: operational, organizational and donor levels. We model our IH by (a) manipulating the semantics stored in knowledge of data repositories, which are interwoven in everyday activities of managing responses to HC and (b) understanding the meaning and the purpose of requests for data retrievals issued in such environments.
	Address	School of Electronics and Computer Science, University of Westminster, United Kingdom
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Lisbon	Editor	M.A. Santos, L. Sousa, E. Portela
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789724922478	Medium
	Track	Interoperability and Standards	Expedition		Conference	8th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	941
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	Author	Aladdin Shamoug; Radmila Juric; Shamimabi Paurobally
	Title	Ontological reasoning as a tool for humanitarian decision making			Type	Conference Article
	Year	2012	Publication	ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2012
	Volume		Issue		Pages
	Keywords	Information systems; Ontology; Semantics; Humanitarian Crises; Humanitarian Response; Ontological reasoning; Reasoning; Swrl rules; Decision making
	Abstract	We propose an OWL/SWRL enabled ontological environment which can play a role in reporting and decision making in Humanitarian Crises (HC). We use (5WH): WHO, WHAT, WHERE, WHEN, WHY and HOW, as the main vehicle for gathering information for decision making. We implement the semantics of (5WH) through OWL models and perform reasoning with SWRL rules, in order to support decision making and create more efficient Humanitarian Response (HR). Our case study shows the feasibility of the proposal and its outcome. Â© 2012 ISCRAM.
	Address	School of Electronics and Computer Science, University of Westminster, London, United Kingdom
	Corporate Author				Thesis
	Publisher	Simon Fraser University	Place of Publication	Vancouver, BC	Editor	L. Rothkrantz, J. Ristvej, Z.Franco
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780864913326	Medium
	Track	Track Decision Support Methods for Complex Crises	Expedition		Conference	9th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	204
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	Author	Aladdin Shamoug; Stephen Cranefield; Grant Dick
	Title	Information Retrieval for Humanitarian Crises via a Semantically Classified Word Embedding			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	132-144
	Keywords	Ontologies, Word Embedding, Information Retrieval, Humanitarian Crisis, Humanitarian Response.
	Abstract	Decision-makers in humanitarian crisis need information to guide them in making critical decisions. Finding information in such environments is a challenging task. Therefore, decision-makers rely on domain experts who possess experience and knowledge from previous humanitarian crises to provide them with the information they need. In this paper, we explore the ability of the existing computing technologies to augment the capabilities of those experts and help decision-makers to make faster and better decisions. Among many computing technologies we have today, word embedding and the semantic web are able to support such augmentation of the domain expert. In this paper, we train a word embedding model using word2vec, transform words and terms from news archive to entities in domain ontology, annotate those entities with their equivalent concepts from upper ontologies, and reason about them using semantic similarity and semantic matching, to represent and retrieve knowledge, and answer questions of interest to decision-makers in humanitarian crises. The approach was evaluated by comparing the use of word embeddings with and without semantic classification for the retrieval of information about the current humanitarian crisis in Syria.
	Address	University of Otago; University of Otago; University of Otago
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN	978-0-473-45447-0	Medium
	Track	Data Issues for Situation/Disaster Awareness	Expedition		Conference	ISCRAM Asia Pacific 2018: Innovating for Resilience - 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific
	Notes	aladdin.shamoug@postgrad.otago.ac.nz			Approved	no
	Call Number				Serial	1676
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	Author	Alan Aipe; Asif Ekbal; Mukuntha NS; Sadao Kurohashi
	Title	Linguistic Feature Assisted Deep Learning Approach towards Multi-label Classification of Crisis Related Tweets			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	705-717
	Keywords	Deep learning, Multi-label classification, Social media, Crisis response
	Abstract	Micro-blogging site like Twitter, over the last decade, has evolved into a proactive communication channel during mass convergence and emergency events, especially in crisis stricken scenarios. Extracting multiple levels of information associated with the overwhelming amount of social media data generated during such situations remains a great challenge to disaster-affected communities and professional emergency responders. These valuable data, segregated into different informative categories, can be leveraged by the government agencies, humanitarian communities as well as citizens to bring about faster response in areas of necessity. In this paper, we address the above scenario by developing a deep Convolutional Neural Network (CNN) for multi-label classification of crisis related tweets.We augment deep CNN by several linguistic features extracted from Tweet, and investigate their usage in classification. Evaluation on a benchmark dataset show that our proposed approach attains the state-of-the-art performance.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Social Media Studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2144
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	Author	Alayne Da Costa Duarte; Marcos R. S. Borges; Jose Orlando Gomes; De Paulo V. R. Carvalho
	Title	ASC model: A process model for the evaluation of simulated field exercises in the emergency domain			Type	Conference Article
	Year	2013	Publication	ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2013
	Volume		Issue		Pages	551-555
	Keywords	Information systems; Activity report; Emergency; Evaluation; Evaluation program; High-risk areas; Process Modeling; Real situation; Structural modeling; Computer simulation
	Abstract	The undefined flow of execution of activities in an evaluation process hampers its implementation. A consistent evaluation process defines interrelated methodological steps that make it easier for the evaluator to lead the process. This article presents a process model for the evaluation of simulated field exercises in the emergency domain, including their sub processes and activities. The proposed model was derived from observations made during real situations of a simulated evacuation exercise of communities in high-risk areas in Rio de Janeiro (Brazil). The motivation came from the finding that the assessment of simulated field exercises is conducted by completing an activity report that does not follow a structural model, an evaluation program or a formal standard. The results of this research show the experts' satisfaction with the application of the model proposed for the development of an evaluation process. The same occurs when comparing to reports currently used by them for this purpose.
	Address	UFRJ, Brazil; IEN, Brazil
	Corporate Author				Thesis
	Publisher	Karlsruher Institut fur Technologie	Place of Publication	KIT; Baden-Baden	Editor	T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9783923704804	Medium
	Track	Innovations in Research	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	420
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	Author	Albert Y. Chen; Feniosky Peña-Mora; Saumil J. Mehta; Stuart Foltz; Albert P. Plans; Brian R. Brauer; Scott Nacheman
	Title	A GIS approach to equipment allocation for structural stabilization and civilian rescue			Type	Conference Article
	Year	2010	Publication	ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings	Abbreviated Journal	ISCRAM 2010
	Volume		Issue		Pages
	Keywords	Artificial intelligence; Decision support systems; Disaster prevention; Disasters; Geographic information systems; Information systems; Lifesaving equipment; Radio frequency identification (RFID); Equipment allocation; Illinois fire service institutes; Resource repositories; Situational awareness; Structural condition; Structural stabilization; Urban search and rescue; Urban search and rescue operations; Emergency services
	Abstract	Efficient request and deployment of critical resources for urban search and rescue operations is vital to emergency response. This paper presents a RFID (Radio Frequency Identification) supported system for on-site data collection to communicate structural condition, to track search and rescue status, and to request and allocate appropriate resources. The system provides a unified interface for efficient posing, gathering, storing and sharing of building assessment information. Visualization and easy access of such information enables rescuers to response to the disaster with better situational awareness. Resource requests are sent to the GIS resource repository service that enables a visual disaster management environment for resource allocation. Request and deployment of critical resources through this system enables lifesaving efforts, with the appropriate equipment, operator, and materials, become more efficient and effective. System development at the Illinois Fire Service Institute has shown promising results.
	Address	University of Illinois, Urbana-Champaign, United States; Columbia University, United States; Construction Engineering Research Lab, United States; Universitat of Politècnica, Catalunya, Spain; Illinois Fire Service Institute, United States; Thornton Tomasetti, United States
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Seattle, WA	Editor	S. French, B. Tomaszewski, C. Zobel
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN		Medium
	Track	Open Track	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	388
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	Author	Alec Pawling; Tim Schoenharl; Ping Yan; Greg Madey
	Title	WIPER: An emergency response system			Type	Conference Article
	Year	2008	Publication	Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2008
	Volume		Issue		Pages	702-710
	Keywords	Data mining; Geographic information systems; Information systems; Agent based simulation; Emergency response; Emergency response systems; Emergency situation; Integrated systems; Running simulations; Simulation systems; Web-based front end; Financial data processing
	Abstract	This paper describes the WIPER system, a proof of concept prototype, and progress made on its development to date. WIPER is intended to provide emergency response managers with an integrated system that detects possible emergencies from cellular communication data, attempts to predict the development of emergency situations, and provides tools for evaluating possible courses of action in dealing with emergency situations. We describe algorithms for detecting anomalies in streaming cellular communication network data, the implementation of a simulation system that validates running simulations with new real world data, and a web-based front end to the WIPER system. We also discuss issues relating to the real-time aggregation of data from the cellular service provider and its distribution to components of the WIPER system.
	Address	Dept. of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46656, United States
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Washington, DC	Editor	F. Fiedrich, B. Van de Walle
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9780615206974	Medium
	Track	Decentralized and Self-Organizing IT-Infrastructures for Crisis Response and Management	Expedition		Conference	5th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	836
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