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	Author	André Simões; Armanda Rodrigues; Patricia Pires; Luis Sá
	Title	Evaluating emergency scenarios using historic data: Flood 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	Artificial intelligence; Cellular automata; Computer simulation; Decision support systems; Flood control; Floods; Geographic information systems; Information systems; Risk management; Civil protection; Complex evaluations; Development process; Emergency management; Emergency scenario; Flood forecasting models; Flood management; Physical conditions; Risk perception
	Abstract	The evaluation of an emergency scenario is often based on the use of simulation models. The specificity of these models involves the need for a complex evaluation of the problem domain, including the physical conditions behind the considered threat. Based on emergency occurrences data, provided by the Portuguese National Civil Protection Authority, we are currently developing a methodology for evaluating a real situation, based on past occurrences. The aim is to develop a platform that will enable the evaluation of a risk scenario based on existing civil protection data. The methodology under development should enable the evaluation of different scenarios based on the collected available data. This will be achieved thanks to the facilitated configuration of several aspects, such as the geographical region and relevant properties of the considered threat. In this paper, we describe the methodology development process and the current state of the platform for risk evaluation.
	Address	CITI, FCT/UNL, Portugal; Autoridade Nacional de Protecção Civil, Portugal
	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	Geographic Information Science	Expedition		Conference	8th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	952
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	Author	Anna Kruspe; Jens Kersten; Friederike Klan
	Title	Detecting event-related tweets by example using few-shot models			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, Relevance, Keywords, Hashtags, Few-shot models, One-class classification
	Abstract	Social media sources can be helpful in crisis situations, but discovering relevant messages is not trivial. Methods have so far focused on universal detection models for all kinds of crises or for certain crisis types (e.g. floods). Event-specific models could implement a more focused search area, but collecting data and training new models for a crisis that is already in progress is costly and may take too much time for a prompt response. As a compromise, manually collecting a small amount of example messages is feasible. Few-shot models can generalize to unseen classes with such a small handful of examples, and do not need be trained anew for each event. We show how these models can be used to detect crisis-relevant tweets during new events with just 10 to 100 examples and counterexamples. We also propose a new type of few-shot model that does not require counterexamples.
	Address	German Aerospace Center (DLR), 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	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	1911
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	Author	Arif Cagdas Aydinoglu; Elif Demir; Serpil Ates
	Title	Designing a harmonized geo-data model for Disaster 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	Disaster prevention; Geographic information systems; Information systems; Semantics; Standards; Data specifications; Disaster management; Dynamic data; Generic conceptual models; Geo-data; Land cover; Semantic interoperability; Disasters
	Abstract	There are problems for managing and sharing geo-data effectively in Turkey. The key to resolving these problems is to develop a harmonized geo-data model. General features of this model are based on ISO/TC211 standards, INSPIRE Data Specifications, and expectations of Turkey National GIS actions. The generic conceptual model components were defined to harmonize geo-data and to produce data specifications. In order to enable semantic interoperability, application schemas were designed for data themes such as administrative unit, address, cadastre/building, hydrographic, topography, geodesy, transportation, and land cover/use. The model, as base and the domain geo-data model, is a starting point to create sector models in different thematic areas. Disaster Management Geo-data Model model was developed as an extension of base geo-data model to manage geo-data collaborate on disaster management activities. This model includes existing geo-data special for disaster management activities and dynamic data collecting during disaster.
	Address	Istanbul Technical University, Turkey
	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	281
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	Author	Arthur H. Hendela; Murray Turoff; Starr Roxanne Hiltz
	Title	Cross impact security analysis using the HACKING Game			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	Crime; Information systems; Models; Personnel training; Collaborative model; Cross-impact analysis; Gaming; Government organizations; Mathematical basis; Natural and man-made disasters; Planning tools; Security expenditures; Personal computing
	Abstract	Security of network assets is a high priority with little traditional return on investment. Increasingly, cyber attacks are being used by both terrorist and unfriendly government organizations. The HACKING Game, a Cross Impact Analysis planning tool, can be used to plan security resource allocation in computer networks. Cross Impact Analysis provides a mathematical basis to determine the interrelationships of one event with a set of other events. Output from the HACKING Game's Cross Impact Analysis model can be used to help justify security expenditures, with an added benefit of being a training tool for employees learning to protect networks. This paper presents details of the Hacking Game's design and its capabilities. Cross impact modeling can be used to develop games for any situation characterized by a set of offense and defense events to produce an individual or collaborative model for such things as natural and man-made disasters.
	Address	New Jersey Institute of Technology, 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	Planning, Foresight and/or Risk Analysis	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	569
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	Author	Babajide Osatuyi; David Mendonça
	Title	Requirements for modeling collaborative information foraging behavior: An application to emergency response organizations			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	Dynamics; Hardware; Models; Collaborative information; Dynamic process; Emergency response; Extreme environment; Foraging behaviors; Information foraging; Model approach; Model method; Information systems
	Abstract	Collaborative information foraging refers to the collective activities of seeking and handling information in order to meet information needs. This paper delineates requirements for modeling salient factors that shape collaborative information foraging behavior of groups. Existing modeling approaches are assessed based on their adequacy for measuring identified salient factors that shape collaborative information foraging behavior. A view of information foraging behavior as a dynamic process is presented. Consequently, this paper purports that modeling methods employed to aid understanding of foraging behavior must allow for plausible explanation of the inherent dynamism in foraging activities. This work therefore provides an initial roadmap to defining salient factors that need to be addressed in order to adequately model collaborative information foraging behavior within teams that operate in extreme environments. Implications of this work in practice and research are discussed.
	Address	New Jersey Institute of Technology, 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	Research Methods	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	818
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	Author	Beate Rottkemper; Kathrin Fischer
	Title	Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations			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	647-657
	Keywords	Budget control; Decision making; Disasters; Information systems; Mathematical models; Multiobjective optimization; Recovery; Constraint methods; Decision making support; Disaster situations; Humanitarian logistics; Humanitarian operations; Multi objective decision making; Multi-objective optimization models; Scenario Planning; Emergency services
	Abstract	Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions.
	Address	Institute for or and is Hamburg, University of Technology, Germany
	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	Analytical Modelling and Simulation	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	895
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	Author	Catherine Lowry Campbell; Fadi Deek; Murray Turoff; Bartel A. Van De Walle
	Title	Measuring consensus and conflict among stakeholders in emergency response information system requirements negotiations			Type	Conference Article
	Year	2004	Publication	Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2004
	Volume		Issue		Pages	121-126
	Keywords	Information systems; Requirements engineering; Asynchronous negotiations; Emergency Response Information Systems; Preference models; Software requirements; Stakeholder preferences; Emergency services
	Abstract	This paper introduces the experimental design we developed for the analysis of asynchronous negotiations among five different stakeholders as they work towards consensus on the functional system requirements that are needed for a common emergency response information system. We present three analytical preference models to measure the evolving consensus and conflict among the stakeholders as they modify their preferences during the negotiation. We illustrate the use of these techniques for obtaining a detailed understanding of the negotiation dynamics among the stakeholders. Â© Proceedings ISCRAM 2004.
	Address	Information Systems Department, New Jersey Institute of Technology, Newark NJ, United States; Department of Information Systems and Management, Tilburg University, Tilburg, Netherlands
	Corporate Author				Thesis
	Publisher	Royal Flemish Academy of Belgium	Place of Publication	Brussels	Editor	B. Van de Walle, B. Carle
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9076971080	Medium
	Track	Emergency Response Stakeholders and Cooperation	Expedition		Conference	1st International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	87
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	Author	Christoph Aubrecht; Klaus Steinnocher; Hermann Huber
	Title	DynaPop – Population distribution dynamics as basis for social impact evaluation in crisis management			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	314-318
	Keywords	Information systems; Population distribution; Population dynamics; Risk assessment; Activity patterns; Crisis management; Evacuation planning; Population distribution patterns; Population dynamics models; Population exposure; Spatial disaggregation; Spatio-temporal models; Economic and social effects
	Abstract	In this paper ongoing developments regarding the conceptual setup and subsequent implementation logic of a seamless spatio-temporal population dynamics model are presented. The DynaPop model aims at serving as basic input for social impact evaluation in crisis management. In addition to providing the starting point for assessing population exposure dynamics, i.e. the location and number of affected people at different stages during an event, knowledge of spatio-temporal population distribution patterns is also considered crucial for a set of other related aspects in disaster risk and crisis management including evacuation planning and casualty assessment. DynaPop is implemented via a gridded spatial disaggregation approach and integrates previous efforts on spatio-temporal modeling that account for various aspects of population dynamics such as human mobility and activity patterns that are particularly relevant in picturing the highly dynamic daytime situation.
	Address	AIT Austrian Institute of Technology, Energy Department, Austria; AIT Austrian Institute of Technology, Safety and Security Department, Austria
	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	Geographic Information Science	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	279
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	Author	Cindy Hui; Mark Goldberg; Malik Magdon-Ismail; William A. Wallace
	Title	Micro-simulation of diffusion of warnings			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	424-430
	Keywords	Information systems; Models; Social networking (online); Axiomatic framework; Diffusion process; Model parameters; Network structures; Simulation; Social network structures; Warning messages; Warnings; Diffusion
	Abstract	This paper presents a unique view of modeling the diffusion of warnings in social networks where the network structure may change over time. Since the characteristics and actions of people in a community have significant influence on the flow of information through a network, we present an axiomatic framework for modeling the diffusion process through the concept of trust. This ongoing work provides a micro level view of the behavior of individuals and groups in a community. Preliminary experiments were made to explore how model parameters such as trust and the social network structure affect warning message belief and evacuation.
	Address	Rensselaer Polytechnic Institute, 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	Early Warning Systems	Expedition		Conference	5th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	606
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	Author	Daniel E. Lane; Tracey L. O'Sullivan; Craig E. Kuziemsky; Fikret Berkes; Anthony Charles
	Title	A structured equation model of collaborative community response			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	906-911
	Keywords	Computer simulation; Decision theory; Information systems; Mathematical models; Risk analysis; Adaptation; C-change; Community collaboration; Community engagement; Emergency response; EnRiCH; Preparedness; Simulation; Structured equation modeling; Emergency services
	Abstract	This paper analyses the collaborative dynamic of community in response to urgent situations. Community emergencies arising from natural or man-induced threats are considered as exogenous events that stimulate community resources to be unified around the response, action, and recovery activities related to the emergency. A structured equation model is derived to depict the actions of the community system. The system is described in terms of its resources including the propensity to trigger community action and collaboration among diverse groups. The community is profiled with respect to its ability to respond. The system defines the trigger mechanisms that are considered to be the drivers of collaborative action. A simulation model is presented to enact the system emergencies, community profiles, and collaborative response. The results develop an improved understanding of conditions that engage community collaborative actions as illustrated by examples from community research in the EnRiCH and the C-Change community research projects.
	Address	Telfer School of Management, University of Ottawa, Canada; Interdisciplinary Faculty of Health Sciences, University of Ottawa, Canada; Natural Resources Institute, University of Manitoba, Canada; Department of Finance and Management Science, Saint Mary's University, Canada
	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	Social Media	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	677
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	Author	Dragos Datcu; Leon J.M. Rothkrantz
	Title	The use of active appearance model for facial expression recognition in crisis environments			Type	Conference Article
	Year	2007	Publication	Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers	Abbreviated Journal	ISCRAM 2007
	Volume		Issue		Pages	515-524
	Keywords	Face recognition; Gesture recognition; Active appearance models; Automatic evaluation; Automatic facial expression recognition; Computer vision techniques; Context-aware systems; Crisis management systems; Facial expression recognition; Human computer interfaces; Human computer interaction
	Abstract	In the past a crisis event was notified by local witnesses that use to make phone calls to the special services. They reported by speech according to their observation on the crisis site. The recent improvements in the area of human computer interfaces make possible the development of context-aware systems for crisis management that support people in escaping a crisis even before external help is available at site. Apart from collecting the people's reports on the crisis, these systems are assumed to automatically extract useful clues during typical human computer interaction sessions. The novelty of the current research resides in the attempt to involve computer vision techniques for performing an automatic evaluation of facial expressions during human-computer interaction sessions with a crisis management system. The current paper details an approach for an automatic facial expression recognition module that may be included in crisis-oriented applications. The algorithm uses Active Appearance Model for facial shape extraction and SVM classifier for Action Units detection and facial expression recognition.
	Address	Man-Machine Interaction Group, Delft University of Technology, 2628 CD, Delft, Netherlands
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Delft	Editor	B. Van de Walle, P. Burghardt, K. Nieuwenhuis
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789054874171; 9789090218717	Medium
	Track	EMOT	Expedition		Conference	4th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	425
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	Author	Erkki Kurkinen
	Title	The effect of age on technology acceptance among field police officers			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	468-477
	Keywords	Information systems; Behavioral intention; Mobile information systems; Non-volitional use; Perceived usefulness; Police officers; Research models; Technology acceptance; User intention; Law enforcement
	Abstract	This paper studies the differences on technology acceptance between two age groups among uniform police forces. The goal was to seek more understanding on the effects of age on technology adaption in the context of mandatory technology use. Data was collected from police officers in field operations. User intentions were measured after subjects had seen a presentation of a pre-prototype of a mobile information system on the video. The results of this study suggest that there is no difference between the old and young age groups. Similarly, the results suggest that the effect of age is similar between the age groups on the effects of the factors in the research model. This suggests that the old police officers are similar to young police officers regarding the acceptance of new technology for their use. The most prominent result was that regression of behavioral intention on perceived usefulness was not statistically important.
	Address	University of Jyvaskyla, Finland
	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	Emergency Management Information Systems	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	664
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	Author	Felix Wex; Guido Schryen; Dirk Neumann
	Title	Operational emergency response under informational uncertainty: A fuzzy optimization model for scheduling and allocating rescue units			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	Artificial intelligence; Decision support systems; Fuzzy set theory; Information systems; Monte Carlo methods; Optimization; Computational evaluation; Coordination; Decision support models; Fuzzy optimization model; Heuristic solutions; Informational uncertainty; Linguistic assessment; Operational emergency; Scheduling
	Abstract	Coordination deficiencies have been identified after the March 2011 earthquakes in Japan in terms of scheduling and allocation of resources, with time pressure, resource shortages, and especially informational uncertainty being main challenges. We suggest a decision support model that accounts for these challenges by drawing on fuzzy set theory and fuzzy optimization. Based on requirements from practice and the findings of our literature review, the decision model considers the following premises: incidents and rescue units are spatially distributed, rescue units possess specific capabilities, processing is non-preemptive, and informational uncertainty through linguistic assessments is predominant when on-site units vaguely report about incidents and their attributes, or system reports are not exact. We also suggest a Monte Carlo-based heuristic solution procedure and conduct a computational evaluation of different scenarios. We benchmark the results of our heuristic with results yielded through applying a greedy approach. The results indicate that using our Monte Carlo simulation to solve the decision support model inspired by fuzzy set theory can substantially reduce the overall harm. Â© 2012 ISCRAM.
	Address	Albert-Ludwigs-UniversitÃ¤t Freiburg, Germany; UniversitÃ¤t Regensburg, Germany
	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	Intelligent Systems	Expedition		Conference	9th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	238
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	Author	Franclin Foping; Ioannis M. Dokas
	Title	A saas-based early warning information fusion system for critical infrastructure safety			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	156-165
	Keywords	Critical infrastructures; Information fusion; Information systems; Public works; Software as a service (SaaS); Web services; Communications systems; Complex problems; Deployment models; Early Warning System; Prototype system; Republic of Ireland; Saas; Safety management systems; Information management
	Abstract	Maintaining the critical infrastructures, such as Drinking Water Treatment Plants (DWTP), transportation, power generation and communications systems, in a safe state is a complex problem. The effective collaboration, as well as the collection aggregation and dissemination of early warning information among the stakeholders of the Safety Management System (SMS) responsible for the safety of these critical infrastructures are some of the challenges that need to be addressed. This paper argues that the Software as a Service (SaaS) deployment model can offer new ways of enhancing the fusion of early warning information during the operation phase of critical infrastructures. It presents the requirements, the architecture and a number of features of a working prototype SaaS-based early warning information fusion system for DWTP safety issues in the Republic of Ireland. It is the first time that a SaaSbased working prototype system is reported of providing early warning information fusion services in the literature.
	Address	Cork Constraint Computation Centre, UCC, Cork, Ireland
	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	Critical Infrastructures	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	501
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	Author	Gabriel Jakobson; Nandan Parameswaran; John Buford; Lundy Lewis; Pradeep Ray
	Title	Situation-Aware multi-Agent system for disaster relief operations management			Type	Conference Article
	Year	2006	Publication	Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2006
	Volume		Issue		Pages	313-324
	Keywords	Architecture; Disasters; Information systems; Multi agent systems; BDI Agent; Belief-desire-intention models; Disaster relief operations; Disaster situations; Large-scale disasters; Situation assessment; Situation identifications; Situation management; Disaster prevention
	Abstract	Natural and human-made disasters create unparalleled challenges to Disaster Situation Management (DSM). One of the major weaknesses of the current DSM solutions is the lack of comprehensive understanding of the overall disaster operational situation, and very often making decisions based on a single event. Such weakness is clearly exhibited by the solutions based on the widely used Belief-Desire-Intention (BDI) models for building the Muiti-Agent Systems (MAS). In this work we present the adaptation of the AESOP situation management architecture to address the requirements of disaster relief operations. In particular, we extend the existing BDI model with the capability of situation awareness. We describe how the key functions of event collection, situation identification, and situation assessment are implemented in MAS architecture suitable to the characteristics of large-scale disaster recovery. We present the details of a BDI agent in this architecture including a skeleton ontology, and the distributed service architecture of the AESOP platform.
	Address	Altusys Corp, Australia; University of New South Wales, Australia; Southern New Hampshire University, United States
	Corporate Author				Thesis
	Publisher	Royal Flemish Academy of Belgium	Place of Publication	Newark, NJ	Editor	B. Van de Walle, M. Turoff
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9090206019; 9789090206011	Medium
	Track	MULTIAGENT SYSTEMS FOR EMERGENCY MANAGEMENT	Expedition		Conference	3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	617
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	Author	Gary Eifried
	Title	A model describing a response to a terrorism incident			Type	Conference Article
	Year	2005	Publication	Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2005
	Volume		Issue		Pages	125-127
	Keywords	Information systems; Military equipment; Models; Emergency response; Incident response; Information flows; Weapons of mass destructions; Wmd; Terrorism
	Abstract	Understanding how the response to an incident of terrorism involving a Weapons of Mass Destruction (WMD) transpires is essential to understanding the necessary flow of information within that response. A model describing incident response functions overlaid on a realistic timeline is presented.
	Address	EAI Corporation, United States
	Corporate Author				Thesis
	Publisher	Royal Flemish Academy of Belgium	Place of Publication	Brussels	Editor	B. Van de Walle, B. Carle
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9076971099	Medium
	Track	POSTER SESSION	Expedition		Conference	2nd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	471
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	Author	Hans Christian Augustijn Wienen; Faiza Allah Bukhsh; Eelco Vriezekolk; Roel J. Wieringa
	Title	Accident Analysis Methods and Models – a Systematic Review			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	398-408
	Keywords	Accident Analysis Methods and Models – a Systematic Review
	Abstract	After a risk has manifested itself and has led to an accident, valuable lessons can be learned that can be taken into account to reduce the risk of a similar accident occurring again. This calls for accident analysis methods. In the past 20 years a large number of accident analysis methods have been proposed and it is difficult to find the right method to apply in a specific circumstance. We conducted a review of the state of the art of accident analysis methods and models across domains. We classify the models using the well-known categorization into sequential, epidemiological and systemic methods. We find that these classes have their own characteristics in terms of speed of application versus pay-off. For optimum risk reduction, methods that take organizational issues into account can add valuable information to the risk management process in an organization.
	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	Planning, Foresight and Risk Analysis	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2117
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	Author	Huizhang Shen; Jidi Zhao
	Title	Decision-making support based on the combination of CBR and logic reasoning			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; Casebased reasonings (CBR); Crisis; Decision making support; Decision modeling; Decision models; Decision process; Emergency response; Logic reasoning; Information systems
	Abstract	In recent years, various crises arise frequently and cause tremendous economic and life losses. Meanwhile, current emergency decision models and decision support systems still need further improvement. This paper first proposes a new emergency decision model based on the combination of a new case retrieval algorithm for Case-Based Reasoning (CBR) and logic reasoning, and then address a sample flood disaster emergency decision process to explain the application of the model in practice.
	Address	Department of Management Information Systems, Shanghai Jiao Tong University, China
	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	Intelligent Systems	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	945
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	Author	Jean-François Gagnon; Martin Rivest; François Couderc; Sébastien Tremblay
	Title	Capturing the task model of experts in emergency response using SYnRGY			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; Risk management; Emergency management; Emergency response; Inherent complexity; Innovative models; Measurement and simulation; Realistic environments; Team measurement; Technological tools; Emergency services
	Abstract	The need for better team measurement in realistic environments has been recognized as one of the key challenges that characterize the field of team work studies (Salas, Cooke, & Rosen, 2008). This challenge is particularly hard to address in the context of emergency response, due to the inherent complexity and dynamism of the domain. Emergency response is part of the emergency management cycle, and refers to the mobilization of the adequate actors and resources to mitigate the impact of an incident on the public and on the environment (Abrahamsson, Hassel, and Tehler, 2010). Emergency response often requires the cooperation of multiple agencies such as police, medical, and fire services, consequently increasing the complexity of such operations. We report of how SYnRGY – a human-centered emergency response technological tool – is embedded with extensive measurement and simulation capabilities to allow tracing of experts' task models in a silent and reliable way. We describe how these capabilities; combined with an innovative modeling technique – dynamic cognitive task modeling – can be used to extract experts' representations of the task. We discuss the importance of such a model for training, improvement of emergency response procedures and development of emergency response tools. Â© 2012 ISCRAM.
	Address	UniversitÃ© Laval, Canada; Thales Canada Inc., Canada
	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	Poster Session	Expedition		Conference	9th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	115
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	Author	Jennifer Mathieu; Mark Pfaff; Gary L. Klein; Jill L. Drury; Michael Geodecke; John James; Paula Mahoney; Georgiy Bobashev
	Title	Tactical robust decision-making methodology: Effect of disease spread model fidelity on option awareness			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	Computer simulation; Information systems; Agent-based model; Computational time; Courses of action; Equation models; Information technology systems; Integration requirements; Model and simulation; Operational environments; Decision making
	Abstract	We demonstrate a method of validating the utility of simpler, more agile models for supporting tactical robust decision making. The key is a focus on the decision space rather than the situation space in decision making under deep uncertainty. Whereas the situation space is characterized by facts about the operational environment, the decision space is characterized by a comparison of the options for action. To visualize the range of options available, we can use computer models to generate the distribution of plausible consequences for each decision option. If we can avoid needless detail in these models, we can save computational time and enable more tactical decision-making, which will in turn contribute to more efficient Information Technology systems. We show how simpler low fidelity, low precision models can be proved to be sufficient to support the decision maker. This is a pioneering application of exploratory modeling to address the human-computer integration requirements of tactical robust decision making.
	Address	MITRE Corporation, United States; Indiana University, Indianapolis, United States; RTI International, 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	Planning, Foresight and/or Risk Analysis	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	747
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	Author	Jian Wang; Daniela Rosca; Williams Tepfenhart; Allen Milewski
	Title	Incident command system workflow modeling and analysis: A case study			Type	Conference Article
	Year	2006	Publication	Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	ISCRAM 2006
	Volume		Issue		Pages	127-136
	Keywords	Information systems; Management information systems; Models; Verification; Work simplification; Formal approach; Incident command systems; Paperless; Work-flows; Workflow; Workflow management systems; Workflow modeling; Workflow modeling and analysis; Fire hazards
	Abstract	The dynamics and volunteer-based workforce characteristics of incident command systems have raised significant challenges to workflow management systems. Incident command systems must be able to adapt to ever changing surroundings and tasks during an incident. These changes need to be known by all responsible parties, since people work in shifts, get tired or sick during the management of an incident. In order to create this awareness, job action sheets and forms have been created. We propose a paperless system that can dynamically take care of these aspects, and formally verify the correctness of the workflows. Furthermore, during an incident, the majority of workers are volunteers that vary in their knowledge of computers, or workflows. To address these challenges, we developed an intuitive, yet formal approach to workflow modeling, modification, enactment and validation. In this paper, we show how to apply this approach to address the needs of a typical incident command system workflow.
	Address	Department of Software Engineering, Monmouth University, West Long Branch, NJ 07728, United States
	Corporate Author				Thesis
	Publisher	Royal Flemish Academy of Belgium	Place of Publication	Newark, NJ	Editor	B. Van de Walle, M. Turoff
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9090206019; 9789090206011	Medium
	Track	INCIDENT COMMAND SYSTEMS WORKFLOW MANAGEMENT	Expedition		Conference	3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1062
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	Author	Johan Jenvald; Michael Morin; Toomas Timpka; Henrik Eriksson
	Title	Simulation as decision support in pandemic influenza preparedness and response			Type	Conference Article
	Year	2007	Publication	Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers	Abbreviated Journal	ISCRAM 2007
	Volume		Issue		Pages	295-304
	Keywords	Decision making; International cooperation; Models; Population statistics; Decision supports; Local community; Pandemic influenza; Preparedness; Response; Simulation; Workflow; Decision support systems
	Abstract	Outbreak of a destructive pandemic influenza threatens to disrupt societies worldwide. International agencies and national governments have prepared plans and recommendations, but it is often decision-makers with the local authorities that are responsible for implementing the response. A central issue for these decision makers is what interventions are available and effective for the specific local community. The paper presents a simulator architecture and its relation to a workflow for decision support in influenza preparedness and response. The simulator can simulate pandemic scenarios, using localized community models, in the presence of various interventions to support an evaluation of potential response strategies. The architecture includes a customized modeling tool, separated from the simulation engine, which facilitates swift scenario modification and recalculation. This flexibility is essential both to explore alternative solutions in planning, and to adapt to changing requirements, information, and resources in outbreak response. An example simulation, based on actual population data from a reference city, illustrates the approach.
	Address	VSL Research Labs, Linköping, Sweden; Dept. of Social Medicine and Public Health, Linköping University, Linköping, Sweden; Dept. of Computer and Information Science, Linköping University, Linköping, Sweden
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Delft	Editor	B. Van de Walle, P. Burghardt, K. Nieuwenhuis
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789054874171; 9789090218717	Medium
	Track	ASCM	Expedition		Conference	4th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	628
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	Author	Jose Vargas Florez; Anthony Charles; Matthieu Lauras; Lionel Dupont
	Title	Designing realistic scenarios for disaster management quantitative models			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	180-189
	Keywords	Disaster prevention; Information systems; Disaster management; Disaster scenario; Quantitative approach; Quantitative modeling; Quantitative models; Real situation; Realism; Realistic scenario; Disasters
	Abstract	Disaster Management has received a lot of attention over the last twenty years, and can now be considered a full research area. But a gap exists between research work proposals and their applications on the field. This is particularly true regarding quantitative approaches. One of the main issues is that the scenarios used to design and validate the proposals are often not accurate and/or too simple compared to the complexity of real situations. Designing realistic scenarios is of prime importance to be able to propose relevant quantitative models which could be implemented by practitioners. This paper tackles this problem by proposing a structured methodology which aims at defining realistic disaster scenarios. The case of earthquakes management in Peru is used to illustrate the consistency of our proposal.
	Address	Pontificia Universidad Católica Del Peru, Peru; Université Lyon 2 Lumière, DISP, France; Université de Toulouse, Mines Albi, Toulouse Business School, France
	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	Disaster Relief Supply Chain Management	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	500
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	Author	Julian Zobel; Patrick Lieser; Tobias Meuser; Lars Baumgärtner; Mira Mezini; Ralf Steinmetz
	Title	Modeling Civilian Mobility in Large-Scale Disasters			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	119-132
	Keywords	Civilian disaster communication, Delay-Tolerant Networks, Human mobility, Mobility models, Disaster response, Simulation
	Abstract	When disasters destroy critical communication infrastructure, smartphone-based Delay-Tolerant Networks (DTNs) can provide basic communication for civilians. Although field tests have shown the practicability of such systems, real-world experiments are expensive and hardly repeatable. Simulations are therefore required for the design and extensive evaluation of novel DTN protocols, but meaningful assertions require realistic mobility models for civilians. In this paper, trace files from a large-scale disaster field test are analyzed to identify typical human behavior patterns in a disaster area. Based on this, we derive a novel civilian disaster mobility model that incorporates identified behaviors such as group-based movement and clustering around points-of-interests such as hospitals and shelters. We evaluate the impact of mobility on DTN communication performance by comparing our model with other established mobility models as well as the trace file dataset in a simulative evaluation based on the field test scenario. In general, our mobility model leads to a more realistic assessment of DTN communication performance compared to other mobility models.
	Address	Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt
	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	Analytical Modeling and Simulation	Expedition		Conference	18th International Conference on Information Systems for Crisis Response and Management
	Notes	julian.zobel@kom.tu-darmstadt.de			Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	2319
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	Author	Kelli de Faria Cordeiro; Maria Luiza M Campos; Marcos R. S. Borges
	Title	Adaptive integration of information supporting decision making: A case on humanitarian logistic			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	225-229
	Keywords	Artificial intelligence; Decision support systems; Information systems; Natural language processing systems; Graph database; Heterogeneous information; Humanitarian logistics; Knowledge integration; Linked open datum; Multi-perspective views; Relational data models; Semantic representation; Decision making
	Abstract	There is an urgent demand for information systems to gather heterogeneous information about needs, donations and warehouse stocks to provide an integrated view for decision making in humanitarian logistics. The dynamic flow of information, due to the unpredicted events, requires adaptive features. The traditional relational data model is not suitable due to its schema rigidity. As an alternative, Graph Data models complemented by semantic representations, like Linked Open Data on the Web, can be used. Based on both, this research proposes an approach for the adaptive integration of information and an associated architecture. An application example is discussed in a real scenario where relief goods are managed through a dynamic and multi-perspective view.
	Address	Center for Naval Systems Analysis of Brazilian Navy, Federal University of Rio de Janeiro, Brazil; Federal University of Rio de Janeiro, Brazil
	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	Decision Support Systems	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	414
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