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	Author	Aaron Burgman; Nikhil Kalghatgi; Erika Darling; Chris M. Newbern; Kristine Recktenwald; Shawn Chin; Howard Kong
	Title	Emergency data analysis via semantic lensing			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	334-338
	Keywords	Information systems; Semantics; Analysis; Completion time; Decision makers; Emergency preparedness and response; Emergency situation; Filtering strategies; Information visualization; Mapping softwares; Emergency services
	Abstract	Emergency situations often play out over extended geographic regions and can present response personnel with numerous types of data at various level of detail. Such data may be displayed in mapping software tools that organize the data into layers. Sufficiently complex scenarios can result in dense, occluded, and cluttered map displays. We investigated a localized, detail-on-demand filtering strategy called semantic lensing that in certain situations provides a more efficient and desirable approach than filtering global layers for mitigating clutter and occlusion. An initial formal user study with these semantic lenses has shown their value in aiding decision makers during tasks that might occur during detection of and response to emergency situations. Completion times are significantly faster when using lenses, and workloads are significantly lower. Future work will evaluate additional features and task-specific applicability, and may support the distribution of such a lens tool to emergency preparedness and response personnel.
	Address	MITRE Corporation, 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	VISUALIZATION IN EMERGENCY MANAGEMENT	Expedition		Conference	3rd International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	352
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	Author	Gary M. Fetter; Mauro Falasca; Christopher W. Zobel; Terry R. Rakes
	Title	A multi-stage decision model for debris disposal operations			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; Information systems; Optimization; Stochastic programming; Clean-up operations; Debris cleanup; Decision makers; Decision modeling; Hurricane katrina; Initial resources; Multi-stage programming; Resource capacity; Debris
	Abstract	As shown by Hurricane Katrina, disposing of disaster-generated debris can be quite challenging. Extraordinary amounts of debris far exceeding typical annual amounts of solid waste are almost instantaneously deposited across a widespread area. Although the locations and amounts of debris can be easily summarized looking back after recovery activities have been completed, they are uncertain and difficult at best to estimate as debris operations begin to unfold. Further complicating matters is that the capacity of cleanup resources, which is dependent upon available equipment, labor, and subcontractors, can fluctuate during on-going cleanup operations. As a result, debris coordinators often modify initial resource assignments as more accurate debris estimates and more stable resource capacities become known. In this research, we develop a computer-based decision support system that incorporates a multi-stage programming model to assist decision makers with allocating debris cleanup resources immediately following a crisis event and during ongoing operations as debris volumes and resource capacities become known with increasing certainty.
	Address	Dept. of Business Information Technology, Pamplin College of Business, Virginia Tech, United States; Dept. of Information Systems and Operations Management, Sellinger School of Business, Loyola University Maryland, 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	491
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	Author	Geoffrey Hoare; Jeffrey Nield; Tom Belcuore; Tom Rich
	Title	Information needs and decision support in health and medical disasters			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	778-786
	Keywords	Artificial intelligence; Database systems; Decision making; Decision support systems; Disaster prevention; Disasters; Health; Information systems; Decision makers; Decision supports; Disaster management; Incident command systems; Incident Management; Information overloads; Medical decision making; Medical systems; Information management
	Abstract	During a disaster, health and medical decision makers need accurate, timely information. However, it is seldom readily available to the right decision makers, at the right time. Quite a number of databases currently exist with information about health and medical organizations which decision makers need during a disaster. Some of these databases have functions that facilitate decision-making and communication before, during and after a disaster. In theory, linking several existing databases will supply this information. Also, other functions can be provided in one package for incident management and monitoring of the preparedness capacity of a State's health and medical systems. But, this has not happened yet in Florida. This research assessed the different users needs, defined the information required to make good decisions and is testing a pilot decision support system of linked databases.
	Address	Florida Department of Health, United States; ESS Group, United States; Abt Assoc., 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	Applications for Mitigating Information Overload	Expedition		Conference	5th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	586
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	Author	John Edmonds; Louiqa Raschid; Hassan Sayyadi; Shanchan Wu
	Title	Exploiting social media to provide humanitarian users with event search and recommendations			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	Decision making; Information systems; Public relations; Blogospheres; Decision makers; Disaster response; Event detection; Geolocations; Personalizations; Public perception; Social media; Disasters
	Abstract	Humanitarian decision makers rely on timely and accurate information for decision-making. Since satisfactory disaster response is key to building public trust and confidence, they need to monitor and track disaster related discourse to gauge public perception and to avert public relations disasters. Social media, e.g., the blogosphere, has empowered citizens to provide content and has increased information diversity. The challenge is to make sense of this diverse and noisy data and interpret results in context. For example, search results can be clustered around an event or occurrence at some geo-location and time. Personalization and recommendations can further filter content and focus on the most relevant and important data. We apply our research on event detection and recommendation to support event based search and apply it to a large blog collection (blog.spinn3r.com).
	Address	University of Maryland, College Park, MD, 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	Technologies and Tools	Expedition		Conference	7th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	468
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	Author	Josune Hernantes; Jose M. Torres; Ana Laugé; Jose Mari Sarriegi; Iztok Starc; Eva Zupancic; Denis Trcek
	Title	Using GMB methodology on a large crisis model			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; Outages; Collaborative methodologies; Collaborative methods; Collaborative model; Crisis management; Decision makers; Electricity sector; Group model building; Sociotechnical; Information systems
	Abstract	Mitigating, detecting, evaluating, responding and recovering from crises are highly complex tasks that involve many decision makers (agents). As a consequence using collaborative methods that allow the cooperation among these agents during the crisis management strategy and procedures design is of significant importance. Group Model Building (GMB) is a robust collaborative methodology that has been successfully used for modelling several complex socio-technical problems, where different agents may have diverse perspectives or interests in the problem under analysis. Through the development of a series of exercises, GMB allows the integration of these initially fragmented perspectives. Modellers translate the knowledge elicited from experts during GMB workshops into simulation models that reproduce the behaviour of the problem. This paper presents the use and adaptation of the GMB methodology in a research project about large pan European crises due to outages in the electricity sector.
	Address	TECNUN, University of Navarra, Spain; University of Ljubljana, Slovenia
	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	575
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	Author	Kathleen A. Moore; Andrea H. Tapia; Christopher Griffin
	Title	Research in progress: Understanding how emergency managers evaluate crowdsourced data: A trust game-based approach			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	272-277
	Keywords	Information systems; Risk management; Crisis response; Data analysts; Decision makers; Emergency management; Empirical data; Game; Game-based approaches; Trust; Managers
	Abstract	The use, or barriers to use, of crowdsourced data by emergency managers has been a significant topic of scholarly discussion during the past several years. The single strongest barrier to use has been identified as one of data quality (Tapia, et. al, 2011). We argue that within this environment the Emergency Manager (EM) acts as a decision-maker and evaluator of crowdsourced data. The final judgement on whether to incorporate crowdsourced data into a Crisis response lies with the EM. In this paper we make a brief argument for the role of EM as trustworthy data analyst and then propose a model for capturing the trust-analytical behavior through game theory (Griffin, et. al, 2012). Lastly, we propose a simple computer game, which uses our model through which we will capture EM trust-analytical behavior though a future empirical data collection effort.
	Address	College of Information Sciences and Technology, Penn State University, United States; Applied Research Laboratory, Penn State University, United States
	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	784
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	Author	Rego Granlund; Helena Granlund
	Title	GPS impact on performance, response time and communication – A review of three studies			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; Decision making; Decision support systems; Global positioning system; Information systems; Tracking (position); Command posts; Controlled experiment; Crisis management; Decision makers; Decision supports; Service personnel; University students; Work performance; Human resource management
	Abstract	This paper describes the basic work performance analysis from three research projects with a goal to investigate the impact of a decision support system that presents global positioning system (GPS) information to the decision makers in crisis management organizations. The goal was to compare the performance between teams that had access to GPS information in the command post with teams that had access only to paper maps. The method used was controlled experiments with the C3Fire micro-world. A total of 304 participants, forming 48 teams, participated in the three studies. The participants came from three different groups, university students, municipal crisis management organizations and rescue service personnel. The result shows that the performance and communication change depending on if the teams used GPS support or paper maps. The result also shows that the participants' background and perceived complexity of the task have an impact on the results.
	Address	Santa Anna IT Research Institute, Swedish Defence Research Agency, Linköping, Sweden
	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	Advanced Research Methods and Unconventional Results	Expedition		Conference	8th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	543
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	Author	Satria Hutomo Jihan; Aviv Segev
	Title	Context ontology for humanitarian assistance in crisis 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	526-535
	Keywords	Decision making; Hurricanes; Ontology; Context ontology; Crisis response; Decision makers; Humanitarian assistances; Humanitarian needs; Humanitarian response; Logic rules; Potential ability; Information systems
	Abstract	Massive crisis open data is not fully utilized to identify humanitarian needs because most of it is not in a structured format, thus hindering machines to interpret it automatically and process it in a short time into useful information for decision makers. To address these problems, the paper presents a method which merges ontologies and logic rules to represent the humanitarian needs and recommend appropriate humanitarian responses. The main advantage of the method is to identify humanitarian needs and to prioritize humanitarian responses automatically so that the decision makers are not overwhelmed with massive and unrelated information and can focus more on implementing the solutions. The method is implemented on real data from the Hurricane Wilma crisis. The use of the method in the hurricane Wilma crisis shows the potential abilities to identify the humanitarian needs in specific places and to prioritize humanitarian responses in real time.
	Address	Department of Knowledge Service Engineering, KAIST, Japan
	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	Humanitarian Challenges	Expedition		Conference	10th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	634
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	Author	Simon French; Nikolaos Agryris
	Title	Nuclear emergency management: Driven by precedent or international guidance?			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	483-487
	Keywords	Civil defense; Decision making; Disasters; Information systems; Risk management; Chernobyl; Decision makers; Fukushima accidents; Multi-criteria decision analysis; Nuclear emergencies; Safety issues; Nuclear reactor accidents
	Abstract	The NREFS project is re-evaluating the management of radiation accidents, paying attention to environmental, financial and safety issues and to the threat and response phase. In designing our project some two years ago, we were concerned to avoid any assumption that a future accident will be similar to a past accident, in particular the Chernobyl and Fukushima Accidents. After a year of research on the issues to be considered and the criteria that could or should drive the decision making, our concern has increased. We have found that international guidance provided by organisations such as ICRP and IAEA lack the specificity to help decision makers. Precedent set in the handling of earlier accidents provides much clearer and tighter guidance – and, moreover, one may feel that that the public will expect them to follow such precedent. Unfortunately the circumstances of a future accident may make precedent inapplicable. Consequently we believe that there is an urgent need to think more widely about nuclear emergency management.
	Address	University of Warwick, United Kingdom
	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	Planning, Foresight and Risk Analysis	Expedition		Conference	11th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	512
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	Author	Stella Moehrle
	Title	On the assessment of disaster management strategies			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	215-219
	Keywords	Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Case based reasoning systems; Decision makers; Disaster management; Disasters
	Abstract	Decision support systems can recommend strategies for disaster management, which can be further discussed by decision-makers. To provide rationales for the recommendations, the strategies need to be assessed according to relevant criteria. If several strategies are available, the criteria can be used for ranking the strategies. This paper addresses the issue concerning the choice of suitable criteria from several perspectives. The assessment integrates concepts on robustness, experience with regard to the implementation of a strategy, quantifiable ratios which can be deduced from simulations, and system-specific parameters. Objectives are to facilitate transparency with respect to the assessments, to provide a basis for discussions concerning the strategies, and to preserve adaptability and flexibility to account for the variability of disasters and users' preferences. The assessment should be used for ranking solutions gained from a case-based reasoning system and to reveal contributions of criteria values to the overall assessment.
	Address	Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany
	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	776
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	Author	Stella Moehrle
	Title	Generic self-learning decision support system for large-scale disasters			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 making; Decision support systems; Disaster prevention; Disasters; Information systems; Complex structure; Decision makers; Decision making process; Decision process; Disaster management; Emergency response; Large-scale disasters; Work in progress; Emergency services
	Abstract	Large-scale disasters, particularly failures of critical infrastructures, are exceptional situations which cannot be solved with standard countermeasures. The crises are complex and the decision makers face acute time pressure to respond to the disaster. IT based decision support systems provide potential solutions and assist the decision making process. Many decision support systems in emergency response and management concentrate on one kind of disaster. Moreover, complex structures are modeled and recommendations are made rule-based. This work in progress paper describes the first steps towards the development of a generic and self-learning decision support system. The methodology used is case-based reasoning. The paper concludes with a sample emergency decision process. Â© 2012 ISCRAM.
	Address	Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, 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	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	171
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	Author	T.L. Van Zyl; C. Parbhoo; Moodley; Cwela; D. Umuhoza; P. Shabangu; A. Vahed
	Title	IT infrastructure enabling open access for flood risk preparedness in South Africa			Type	Conference Article
	Year	2009	Publication	ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives	Abbreviated Journal	ISCRAM 2009
	Volume		Issue		Pages
	Keywords	Developing countries; Information systems; Open systems; Decision makers; Flood disaster; High-risk areas; Information technology infrastructure; IT infrastructures; Open Access; Sensor web; South Africa; Floods
	Abstract	The paper focuses on the information technology infrastructure required for the evaluation and monitoring of risk relating to floods in South Africa. It may be argued that in the context of developing countries, flood preparedness is more valuable than the actual response to a flood disaster. The paper looks at this flood preparedness in the context of informal and semi-formal settlements. An information technology infrastructure is proposed that will allow decision makers to be alerted to possible flood high risk areas, and in so doing maximise preparedness.
	Address	ICT4EO, Meraka Institute, Johannesburg, South Africa; School of Computer Science, University of KwaZulu-Natal, Durban, South Africa
	Corporate Author				Thesis
	Publisher	Information Systems for Crisis Response and Management, ISCRAM	Place of Publication	Gothenburg	Editor	J. Landgren, S. Jul
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	9789163347153	Medium
	Track	Humanitarian Actions and Operations	Expedition		Conference	6th International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	1048
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	Author	Tina Comes; Niek Wijngaards; Frank Schultmann
	Title	Efficient scenario updating in emergency management			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	Decision support systems; Disasters; Graph theory; Information systems; Risk management; Decision makers; Emergency management; Formalisation; Large volumes; Multicriteria decision support; Scenario management; Scenario-based; Situation awareness; Civil defense
	Abstract	Emergency managers need to assess, combine and process large volumes of information with varying degrees of (un)certainty. To keep track of the uncertainties and to facilitate gaining an understanding of the situation, the information is combined into scenarios: stories about the situation and its development. As the situation evolves, typically more information becomes available and already acknowledged information is changed or revised. Meanwhile, decision-makers need to keep track of the scenarios including an assessment whether the infor-mation constituting the scenario is still valid and relevant for their purposes. Standard techniques to support sce-nario updating usually involve complete scenario re-construction. This is far too time-consuming in emergency management. Our approach uses a graph theoretical scenario formalisation to enable efficient scenario updating. MCDA techniques are employed to decide whether information changes are sufficiently important to warrant scenario updating. A brief analysis of the use-case demonstrates a large gain in efficiency. Â© 2012 ISCRAM.
	Address	Institute for Industrial Production (IIP), Karlsruhe Institute of Technology (KIT), Germany; Thales Research and Technology Netherlands, D-CIS Lab, 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	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	94
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	Author	Usha Satish; Siegfried Streufert
	Title	Training to defend: Strategic management simulations			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	157-160
	Keywords	Decision making; Information systems; Personnel training; Strategic planning; Terrorism; Decision makers; Delayed feedback; Simulation; Strategic management; Task environment; Thought process; Management science
	Abstract	Terrorism is defined by a philosophy of revolutionary violence and a commitment to the destruction of government power. Of course, one way to reduce vulnerability to these impacts is heightened security. However, we must be a step ahead of terrorists: we must prevent their intended actions whenever possible. Most measures of decision-making competence focus on “content,” i.e. on “what” decision makers know, on what their thought processes are, and on whether the decisions they make are correct. However complex, volatile, ambiguous task environments involving uncertainty and delayed feedback provide challenges and generate levels of stress, which interfere with appropriate decision making. A “correct” decision may not be easily available. Many well-trained individuals will be at a loss and may make errors (e.g., because they may select the most immediately evident, yet not the most appropriate options). The use of a well-validated methodology, Strategic Management Simulations (SMS) to assess and train decision makers is presented. Â© Proceedings ISCRAM 2004.
	Address	Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY 13210, 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	9076971080	Medium
	Track	Emergency Response Simulation and Training Systems	Expedition		Conference	1st International ISCRAM Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	199
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