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Author |
Robert Baksa; Murray Turoff |
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Title |
The current state of continuous auditing and emergency management's valuable contribution |
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Conference Article |
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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 |
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Keywords |
Civil defense; Decision support systems; Disasters; Information systems; Business Process; Continuous auditing; Continuous review; Decision supports; Emergency management; Human judgments; Periodic review; Response systems; Risk management |
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Abstract |
Continuous Auditing systems require that human judgment be formalized and automated, which can be a complex, costly and computationally intensive endeavor. However, Continuous Auditing systems have similarities with Emergency Management and Response systems, which integrate Continuous Auditing's detection and alerting functions with the tracking of decisions and decision options for the situations that could be more effectively handled by human judgment. Emergency Management and Response systems could be an effective prototype to help overcome some of the implementation obstacles that are impeding Continuous Auditing systems' implementation rate. Continuous Auditing has the potential to transform the existing audit paradigm from periodic reviews of a few accounting transactions to a continuous review of all transactions, which thereby could vastly strengthen an organization's risk management and business processes. Although Continuous Auditing implementations are occurring, their adoption is slower than expected. With the goal of providing an empirical and methodological foundation for future Continuous Auditing systems and possibly inspiring additional investigation into merging the Continuous Auditing and Emergency Management streams of research, this paper provides several definitions of Continuous Auditing, suggests possible architectures for these systems, lists some common implementation challenges and highlights a few examples of how Emergency Management research could potentially overcome them. |
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NJIT, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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English |
Summary Language |
English |
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2411-3387 |
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Track |
Planning, Foresight and/or Risk Analysis |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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no |
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Serial |
285 |
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Author |
Menelaos Bakopoulos; Sofia Tsekeridou; Eri Giannaka; Zheng-Hua Tan; Ramjee Prasad |
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Title |
Command & control: Information merging, selective visualization and decision support for emergency handling |
Type |
Conference Article |
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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 |
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Keywords |
Biometrics; Decision support systems; Flow visualization; Information management; Information systems; Local area networks; Personal digital assistants; Visualization; Command posts; Crisis management; Decision supports; First responders; Information merging; Video annotations; Wearable sensors; Merging |
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Abstract |
Emergency situations call for the timely collaboration and error free communication of first responder (FR) teams from their Command Posts (CP) and between themselves. First responder teams must form and adapt their plans and actions as a real-time critical situation unfolds. This paper presents an advanced Command Post application that manages a diversity of FR teams during an emergency. Data from biometric, fire and/or gas sensors in addition to received annotated videos from first responders on site, carrying personal digital assistants (PDAs), are simultaneously managed. The presented system provides properly configured access to and alert-dependent visualization of real time location, biometric, gas, fire and annotated video data from FRs in the field to allow for effective reaction and decision support from CP personnel. Additionally, the system forms an information management system for all necessary information to be quickly handy during emergency handling, such as FR information, critical infrastructure information, historical information, etc. This system has been validated through qualitative analysis in a field trial at the M30 tunnel in Madrid by participating end users. |
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Athens Information Technology, Greece; Aalborg University, Denmark |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
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Track |
Command and Control Studies |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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no |
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Serial |
284 |
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Author |
Jonathan L. Barr; Annie M. Boek Peddicord; Russ Burtner; Heidi A. Mahy |
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Title |
Current domain challenges in the emergency response community |
Type |
Conference Article |
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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 |
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Keywords |
Communication; Decision support systems; Information systems; Knowledge management; Data access; Decision supports; Domain challenges; Gap analysis; Information environment; Knowledge transfer; Resource management; Situational awareness; Emergency services |
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Abstract |
This paper describes the development of a framework targeted to technology providers to better understand the grand domain challenges of the emergency response and management community (EM). In developing this framework, Pacific Northwest National Laboratory (PNNL) researchers interviewed subject matter experts (SMEs) across the EM domain and corroborated these findings with current literature. We are presently examining relationships and dependencies within the framework. We anticipate that a thorough understanding of these gaps and dependencies will allow for a more informed approach to prioritizing research, developing tools, and applying technology to enhance performance in the EM community. |
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Pacific Northwest National Laboratory, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
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Track |
Advanced Research Methods and Unconventional Results |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
288 |
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Author |
Graham Coates; Glenn I. Hawe; Duncan T. Wilson; Roger S. Crouch |
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Title |
Adaptive co-ordinated emergency response to rapidly evolving large-scale unprecedented events (REScUE) |
Type |
Conference Article |
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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 |
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Keywords |
Artificial intelligence; Decision support systems; Information systems; Adaptive search method; Agent based simulation; Co-ordination; Decision supports; Emergency response; Geographical locations; Integrated frameworks; Team composition and task allocations; Emergency services |
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Abstract |
This paper presents an overview of ongoing research into the development of an integrated framework aimed at adaptive co-ordination of emergency response to dynamic, fast evolving and novel events on a large-scale. The framework consists of (i) a decision support system, supported by rapid adaptive search methods, to enable the real time development of tailored response plans including emergency responder team composition and task allocation to these teams, and (ii) an agent-based simulation of emergency response to large-scale events occurring in real geographical locations. The aim of this research is to contribute to understanding how better agent-based simulation coupled with decision support can be used to enable the effective co-ordination of emergency response, involving the collective efforts and actions of multiple agencies (ambulance services, fire brigades, police forces and emergency planning units), to rapidly evolving large-scale unprecedented events. |
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Durham University, United Kingdom |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
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Track |
Intelligent Systems |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
402 |
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Author |
Tina Comes; Michael Hiete; Niek Wijngaards; Masja Kempen |
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Title |
Integrating scenario-based reasoning into multi-criteria decision analysis |
Type |
Conference Article |
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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 |
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Pages |
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Keywords |
Decision support systems; Information systems; Chemical incidents; Crisis management; Decision supports; Environmental crisis; Multi-criteria decision analysis; Real-world scenario; Scenario-based; Uncertainties; Environmental management |
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Abstract |
Multi-criteria decision analysis (MCDA) is a technique for decision support which aims at providing transparent and coherent support for complex decision situations taking into account subjective preferences of the decision makers. However, MCDA does not foresee an analysis of multiple plausible future developments of a given situation. In contrast, scenario-based reasoning (SBR) is frequently used to assess future developments on the longer term. The ability to discuss multiple plausible future developments provides a rationale for strategic plans and actions. Nevertheless, SBR lacks an in-depth performance evaluation of the considered actions. This paper explores the integration of both techniques that combines their respective strengths as well as their application in environmental crisis management. The proposed methodology is illustrated by an environmental incident example. Future work is to conduct validations on the basis of real-world scenarios by public Dutch and Danish chemical incident crisis management authorities. |
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Institute for Industrial Production, Universität Karlsruhe (TH), Germany; Thales Research and Technology, D-CIS Lab, Netherlands |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
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Track |
Open Track |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
407 |
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Author |
Jill L. Drury; Loretta More; Mark Pfaff; Gary L. Klein |
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Title |
A principled method of scenario design for testing emergency response decision-making |
Type |
Conference Article |
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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 |
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Keywords |
Costs; Decision making; Decision support systems; Design; Experiments; Information systems; Decision supports; Emergency operations; Experiment design; Principled ambiguity method; Rdm; Robust decision-making; Scenario design; Emergency services |
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Abstract |
We are investigating decision aids that present potential courses of action available to emergency responders. To determine whether these aids improve decision quality, however, we first developed test scenarios that were challenging in well-understood ways to ensure testing under the full breadth of representative decision-making situations. We devised a three-step method of developing scenarios: define the decision space, determine the cost components of each decision's potential consequences based on the principles of Robust Decision Making, then choose conflicting pairs of cost components (e.g., a small fire, implying low property damage, in a densely inhabited area, which implies high personal injury). In a validation of this approach, experiment participants made decisions faster in non-ambiguous cases versus cases that included this principled introduction of ambiguity. Our Principled Ambiguity Method of scenario design is also appropriate for other domains as long as they can be analyzed in terms of costs of decision alternatives. |
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Address |
MITRE Corporation, Bedford, MA, United States; Pennsylvania State University, State College, PA, United States; Indiana University, Indianapolis, IN, United States; MITRE Corporation, McLean, VA, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
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Track |
Research Methods |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
457 |
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Author |
Hagen Engelmann; Frank Fiedrich |
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Title |
DMT-EOC – A combined system for the decision support and training of EOC members |
Type |
Conference Article |
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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 |
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Pages |
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Keywords |
Decision making; Decision support systems; Disaster prevention; Disasters; Human computer interaction; Information systems; Multi agent systems; User interfaces; Collapsed buildings; Decision supports; Disaster management; Earthquake disaster; Emergency operations; Naturalistic decision-making; Operation research; Programming interface; Personnel training |
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Abstract |
The first hours after a disaster are essential to minimizing the loss of life. The chance for survival in the debris of a collapsed building for example decreases considerably after 72 hours. However the available information in the first hours after a disaster is limited, uncertain and dynamically changing. A goal in the development of the Disaster Management Tool (DMT) was to support the management of this situation. Its module DMT-EOC specifically deals with problems of the members in an emergency operation centre (EOC) by providing a training environment for computer based table top exercises and assistance during earthquake disasters. The system is based on a flexible and extendible architecture that integrates different concepts and programming interfaces. It contains a simulation for training exercises and the evaluation of decisions during disaster response. A decision support implemented as a multi-agent system (MAS) combines operation research approaches and rule-base evaluation for advice giving and criticising user decisions. The user interface is based on a workflow model which mixes naturalistic with analytic decision-making. The paper gives an overview of the models behind the system components, describes their implementation, and the testing of the resulting system. |
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Institute for Technology and Management in Construction, Karlsruhe University, Karlsruhe, Germany; Institute for Crisis, Disaster, and Risk Management, George Washington University, Washington, DC, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
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Track |
Intelligent Systems |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
476 |
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Author |
Hagen Engelmann; Frank Fiedrich |
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Title |
Decision support for the members of an emergency operation centre after an earthquake |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
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Issue |
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Pages |
317-326 |
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Keywords |
Decision making; Disaster prevention; Disasters; Earthquakes; Human computer interaction; Intelligent agents; Multi agent systems; Collaborative research; Complex environments; Decision making process; Decision supports; Emergency operations; Optimal resource allocation; RPD model; User friendly interface; Decision support systems |
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Abstract |
The first three days after an earthquake disaster demand good decisions in a very complex environment. Members of emergency operation centres (EOC) have to make decisions with limited information and under high time pressure. But the first 72 hours of disaster response activities are essential to minimize loss of life. Within the interdisciplinary German Collaborative Research Center 461: “Strong Earthquakes: A Challenge for Geosciences and Civil Engineering” a so-called Disaster Management Tool (DMT) is under development which presents some ideas for appropriate solutions to this problem. One module of the DMT will provide decision-support for the members of an EOC based on the Recognition-Primed Decision (RPD) model, a description of the decision-making process of persons in real-world settings. Options for a reasonable computer-based decision support for the RPD process will be discussed. For this the system combines a simulation of the disaster environment with a multi-agent system (MAS). The simulation shows the results of different decisions so the decision-makers can evaluate them. The MAS calculates a solution for optimal resource allocation taking into account current available information. The goal of the ongoing work is to integrate these instruments into a user-friendly interface considering the real life needs of decision-makers in an EOC. |
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Institute for Technology and Management in Construction, Karlsruhe University, Karlsruhe, Germany; Institute for Crisis, Disaster, and Risk Management, George Washington University, Washington, DC, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
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Track |
ASCM |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
477 |
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Author |
Gary M. Fetter; Mauro Falasca |
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Title |
Establishing the need for decision support in disaster debris disposal |
Type |
Conference Article |
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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 |
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Volume |
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Issue |
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Pages |
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Keywords |
Artificial intelligence; Civil defense; Debris; Decision support systems; Disaster prevention; Disasters; Knowledge based systems; Risk management; User interfaces; Waste disposal; Atlantic hurricane; Decision support system frameworks; Decision supports; Disaster preparedness; Disaster recovery; Emergency management; Nature of disasters; Work-in-progress; Information management |
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Abstract |
One of the most important and costly aspects of recovery operations is debris collection and disposal. The unique nature of disaster debris and the extreme amounts generated as a result of the disaster event create challenges for decision makers that are not typically encountered during every day solid-waste disposal operations. This work-in-progress research is aimed at identifying the unique aspects of disaster debris disposal and the need for decision support, which addresses these unique aspects, to assist emergency management coordinators with allocating resources during on-going debris cleanup operations. We will present a decision support system framework, discuss aspects of the knowledge base, model base, and user interface, and show how an emergency management coordinator might use the system during ongoing daily operations using real-world data from a 2003 Atlantic hurricane. |
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Address |
Global Management and Strategy Department, Western Carolina University, United States; Department of Marketing and Supply Chain Management, East Carolina University, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
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Track |
Analytical Information Systems |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
490 |
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Author |
Rego Granlund; Helena Granlund |
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Title |
GPS impact on performance, response time and communication – A review of three studies |
Type |
Conference Article |
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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 |
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Volume |
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Issue |
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Pages |
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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 |
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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. |
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Address |
Santa Anna IT Research Institute, Swedish Defence Research Agency, Linköping, Sweden |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
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Track |
Advanced Research Methods and Unconventional Results |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
543 |
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Author |
John R. Harrald; Theresa I. Jefferson; Frank Fiedrich; Sebnem Sener; Clinton Mixted-Freeman |
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Title |
A first step in decision support tools for humanitarian assistance during catastrophic disasters: Modeling hazard generated needs |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
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Issue |
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Pages |
51-56 |
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Keywords |
Artificial intelligence; Disasters; Hazards; Catastrophic earthquake; Catastrophic event; Decision support tools; Decision supports; Emergency responders; Humanitarian assistances; Humanitarian relief; Paper documents; Decision support systems |
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Abstract |
The US has not yet developed adequate models for estimating hazard generated needs, the necessary first step for developing useful decision support systems needed to estimate the capability and capacity of the response forces required. Modeling and technology required to support the decisions made by humanitarian relief organizations requires scenario driven catastrophic planning. This paper documents the lack of effective decision support tools and systems for humanitarian aid and describes the current state of models and methods used for determination of hazard generated needs. The paper discusses work performed on a catastrophic earthquake preparedness project. It outlines how the results of this project will be used to advance the modeling and decision support capabilities of federal, state and local disaster planners and emergency responders. |
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Address |
George Washington University (GWU), Institute for Crisis, Disaster, and Risk Management (ICDRM), United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
|
Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
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|
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
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Track |
HOPS |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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|
Call Number |
|
Serial |
561 |
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Author |
Michael Hiete; Mirjam Merz |
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Title |
An indicator framework to assess the vulnerability of industrial sectors against indirect disaster losses |
Type |
Conference Article |
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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 |
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Volume |
|
Issue |
|
Pages |
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Keywords |
Decision making; Decision support systems; Disasters; Indicators (instruments); Information systems; Business continuity planning; Crisis management; Decision supports; Indicator frameworks; Industrial production; Information sharing; Mitigation measures; Vulnerability assessments; Information management |
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Abstract |
Natural and man-made hazards may affect industrial production sites by both direct losses (due to physical damage to assets and buildings) and indirect losses (production losses). Indirect losses, e.g. from production downtimes, can exceed direct losses multiple times. Thus, the vulnerability of industrial sectors to indirect losses is an important component of risk and its determination is an important part within risk analysis. In this paper a conceptual indicator framework is presented which allows to assess the indirect vulnerability of industrial sectors to different types of disasters in a quantitative manner. The results are useful for information sharing and decision making in crisis management and emergency planning (mitigation measures, business continuity planning), since the developed indicator system helps to take the complex phenomenon of industrial vulnerability and the underlying interdependencies into account. Besides the identification and conceptual motivation of the indicators, methodical aspects such as standardization, weighting and aggregation are addressed. |
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Address |
Institute for Industrial Production, University of Karlsruhe (TH), Germany; Center for Disaster Management and Risk Reduction Technologies (CEDIM), Institute for Industrial Production, University of Karlsruhe (TH), Germany |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Open Track |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
579 |
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Author |
Geoffrey Hoare; Jeffrey Nield; Tom Belcuore; Tom Rich |
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Title |
Information needs and decision support in health and medical disasters |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
|
Pages |
778-786 |
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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 |
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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. |
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Address |
Florida Department of Health, United States; ESS Group, United States; Abt Assoc., United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Applications for Mitigating Information Overload |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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|
Call Number |
|
Serial |
586 |
|
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Author |
Johan Jenvald; Michael Morin; Toomas Timpka; Henrik Eriksson |
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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 |
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Volume |
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Issue |
|
Pages |
295-304 |
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Keywords |
Decision making; International cooperation; Models; Population statistics; Decision supports; Local community; Pandemic influenza; Preparedness; Response; Simulation; Workflow; Decision support systems |
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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. |
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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 |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
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Track |
ASCM |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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|
Call Number |
|
Serial |
628 |
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Author |
Ola Leifler |
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Title |
Combining technical and human-centered strategies for decision support in command and control: The ComPlan approach |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
|
Pages |
504-515 |
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Keywords |
Cognitive systems; Decision support systems; Knowledge based systems; Collaborative command and control; Command and control; Conceptual frameworks; Constraint violation; Critiquing; Decision supports; Mixed-initiative planning; Technical research; Command and control systems |
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Abstract |
ComPlan (A Combined, Collaborative Command and Control Planning tool) is an approach to providing knowledge-based decision support in the context of command and control. It combines technical research on automated planning tools with human-centered research on mission planning. At its core, ComPlan uses interconnected views of a planning situation to present and manipulate aspects of a scenario. By using domain knowledge flexibly, it presents immediate and directly visible feedback on constraint violations of a plan, facilitates mental simulation of events, and provides support for synchronization of concurrently working mission planners. The conceptual framework of ComPlan is grounded on three main principles from human-centered research on command and control: transparency, graceful regulation, and event-based feedback. As a result, ComPlan provides a model for applying a human-centered perspective on plan authoring tools for command and control, and a demonstration for how to apply that model in an integrated plan-authoring environment. |
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Address |
Linköpings Universitet, Sweden |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Intelligent Systems for Crisis and Disaster Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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|
Call Number |
|
Serial |
684 |
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Author |
Yikun Liu; Sung Pil Moon; Mark Pfaff; Jill L. Drury; Gary L. Klein |
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Title |
Collaborative option awareness for emergency response decision making |
Type |
Conference Article |
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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 |
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Volume |
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Issue |
|
Pages |
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Keywords |
Decision making; Decision support systems; Information systems; Visualization; Collaboration; Collaborative decision making; Decision supports; Option awareness; Robust decision-making; Emergency services |
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Abstract |
We have been using exploratory modeling to forecast multiple plausible outcomes for a set of decision options situated in the emergency response domain. Results were displayed as a set of box-plots illustrating outcome frequencies distributed across an evaluative dimension (e.g., cost, score, or utility). Our previous research showed that such displays provide what we termed “option awareness” – an ability to determine robust options that will have good outcomes across the broadest number of plausible futures. This paper describes an investigation into extending this approach to collaborative decision making by providing a visualization of both collaborative and individual decision spaces. We believe that providing such visualizations will be particularly important when each individuals decision space does not account for the synergy that may emerge from collaboration. We describe how providing collaborative decision spaces improves the robustness of joint decisions and engenders high confidence in these decisions. |
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Address |
Indiana University, Indianapolis, United States; MITRE Corporation, Bedford, MA, United States; MITRE Corporation, McLean, VA, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
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Track |
Analytical Information Systems |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
719 |
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Author |
David Mendonça; Yao Hu; Qing Gu |
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Title |
Cognitive-level support for improvisation in emergency response |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
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Issue |
|
Pages |
489-496 |
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Keywords |
Computer simulation; Decision support systems; Cognitive model; Computational model; Computer-based support; Decision supports; Emergency response; Improvisation; Simulation platform; Training exercise; Emergency services |
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Abstract |
Improvisation-serial and purposeful creativity, exercised under time constraint-is an intensely cognitive endeavor. Accordingly, supporting improvisation requires an understanding of the underlying cognitive processes and an identification of opportunities for support. This paper reports on the development of cognitively-grounded computer-based support for improvisation in a simulated emergency response situation. The application is a computational model which attends to traces of group decision processes, analyzes them, and attempts to achieve fit between its own intentions and those of the group. The current architecture and functioning of the model are discussed, along with an overview of the simulation platform. Current and future workin the areas of model validation and evaluation is described. The results of this work strongly suggest that model-based support for improvisation is possible, but that for the time being will be restricted to synthetic situations, of the kind often used in training exercises. |
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Address |
New Jersey Institute of Technology, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
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Track |
IMPR |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
765 |
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Author |
Teresa Onorati; Alessio Malizia; Paloma Díaz; Ignacio Aedo |
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Title |
Interaction design for web emergency management information systems |
Type |
Conference Article |
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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 |
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Volume |
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Issue |
|
Pages |
|
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Keywords |
Civil defense; Decision support systems; Disasters; Life cycle; Risk management; Decision supports; Design Methodology; Design Principles; Emergency management; Information interaction; Interaction design; Interaction points; Interactive properties; Information management |
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Abstract |
The interaction design for web emergency management information systems (WEMIS) is an important aspect to keep in mind due to the criticality of the domain: decision making, updating available resources, defining a task list, trusting in proposed information. A common interaction design strategy for WEMIS seems to be needed but currently there are few references in literature. Our aim is to contribute to this lack with a set of interactive principles for WEMIS. From the emergency point of view, existing WEMIS have been analyzed to extract common features and to design interaction principles for emergency. Furthermore, we studied design principles extracted from the Turoff's model relating them to emergency phases and features. In particular, in this paper, we choose to follow the current trend in the definition of emergency life cycles. In our approach, referring to general policies in literature, the emergency management process is divided into two different sub cycles: back-end and front-end. From the interaction point of view, a formalization process based on the interactive PIE model has been defined. The result we propose here is a set of design principles for supporting interactive properties for WEMIS. |
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Address |
Departamento de Informática, Universidad Carlos III, Madrid, Spain |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
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Medium |
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Track |
Human-Computer Interaction |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
814 |
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Author |
Stephen Potter; Yannis Kalfoglou; Harith Alani; Michelle Bachler; Simon Buckingham Shum; Rodrigo Carvalho; Ajay Chakravarthy; Stuart Chalmers; Sam Chapman; Beibei Hu; Alun Preece; Nigel Shadbolt; Austin Tate; Mischa Tuffield |
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Title |
The application of advanced knowledge technologies for emergency response |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
|
Issue |
|
Pages |
361-368 |
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Keywords |
Artificial intelligence; Decision support systems; Decision supports; Emergency response; Intelligent messaging; Semantic technologies; Sensemaking; Emergency services |
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Abstract |
Making sense of the current state of an emergency and of the response to it is vital if appropriate decisions are to be made. This task involves the acquisition, interpretation and management of information. In this paper we present an integrated system that applies recent ideas and technologies from the fields of Artificial Intelligence and semantic web research to support sense-and decision-making at the tactical response level, and demonstrate it with reference to a hypothetical large-scale emergency scenario. We offer no end-user evaluation of this system; rather, we intend that it should serve as a visionary demonstration of the potential of these technologies for emergency response. |
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Address |
University of Edinburgh, United Kingdom; University of Southampton, United Kingdom; Open University, United Kingdom; University of Sheffield, United Kingdom; University of Aberdeen, United Kingdom |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
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Track |
ASCM |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
852 |
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Author |
Alexander Smirnov; Mikhail Pashkin; Nikolay Shilov; Tatiana Levashova |
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Title |
Intelligent support of context-based megadisaster management: Hybrid technology and case study |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
|
Issue |
|
Pages |
305-316 |
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Keywords |
Decision support systems; Hurricanes; Constraint Satisfaction; Context management; Decision supports; Humanitarian logistics; Hybrid technology; Intelligent decision making; Intelligent support; Ontology management; Decision making |
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Abstract |
The situation with the hurricane Katrina showed that the conventional tiered response to disaster event, whereby state and local officials are responsible for the first few days, does not work well in case of megadisasters (massive hurricanes, earthquakes, large-scale acts of terrorism, etc.). Such situations require application of new technologies for preparing the operation, interoperability between the operation participants, and decision support for officials. Here presented approach proposes a context-driven decision support schema based on integration of such technologies as context & ontology management and constraint satisfaction. The application of the approach is illustrated via a case study of a portable hospital arrangement. |
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Address |
St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
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Track |
ASCM |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
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Call Number |
|
Serial |
958 |
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Author |
Jim Steel; Renato Iannella; Ho-Pun Lam |
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Title |
Using ontologies for decision support in resource messaging |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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|
Volume |
|
Issue |
|
Pages |
276-284 |
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Keywords |
Civil defense; Disasters; Information systems; Ontology; Risk management; Decision supports; Emergency management; Intelligent decision support; Message format; Ontology matching; Organizational boundaries; Resource management; Decision support systems |
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Abstract |
Emergency management is by its nature, and in some jurisdictions by its definition, an activity that requires a concerted effort by a number of governmental and non-governmental agencies. There is a growing appreciation that collaboration between these parties is best served through the use of interoperable standards for message formats for purposes such as alerting and resource exchange. However, it is also important to realize that, although much advantage can be drawn from standardizing certain aspects of communication, such as the structure of messages, different agencies will use different vocabularies. In this paper we discuss how ontologies can be used with standard messaging formats for resource messaging to enable intelligent decision support mechanisms in the presence of differing vocabularies across organizational boundaries. We also present a survey of the opportunities for using ontologies in emergency management, and the issues that must be addressed. |
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Address |
University of Queensland, NICTA, Australia |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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|
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
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Track |
Ontologies for Crisis Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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|
Notes |
|
Approved |
no |
|
|
Call Number |
|
Serial |
972 |
|
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|
Author |
Guido Te Brake; Rick Van Der Kleij; Miranda Cornelissen |
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Title |
Distributed mobile teams: Effects of connectivity and map orientation on teamwork |
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 |
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Volume |
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Issue |
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Pages |
642-650 |
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Keywords |
Decision support systems; Virtual reality; Data-communication; Decision supports; First responders; Network connectivity; Search and rescue tasks; Situation awareness; Team collaboration; Verbal communications; Information systems |
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Abstract |
Fielded first responders are currently being equipped with support tools to improve their performance and safety. Novel information technology provides opportunities for improvement of task efficiency and situation awareness, but people can get in trouble when data networks fail. In this paper, we examine the effect of glitches in the data network on team performance and look into the strategies people use to cope with these disruptions. Teams of three responders collaborated in a search and rescue task, supported by a map showing their positions and the locations of victims. Data communication required for this support was interrupted, verbal communication remained possible. Two variants were used for the map: a north-up version and a heading-up version that was aligned with the orientation of the responder. Negative effects and changing strategies were found for the condition with interruptions, no differences were found for the two map variants. |
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Address |
TNO Defence, Security and Safety, Netherlands |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
HCI for Emergencies |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
1001 |
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Author |
Murray Turoff; Connie White; Linda Plotnick; Starr Roxanne Hiltz |
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Title |
Dynamic emergency response management for large scale decision making in extreme events |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
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Pages |
462-470 |
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Keywords |
Civil defense; Decision support systems; Information systems; Philosophical aspects; Risk management; Decision supports; Effective management; Emergency management; Emergency preparedness; Emergency response management; Extreme events; Muddling through; Time constraints; Decision making |
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Abstract |
Effective management of a large-scale extreme event requires a system that can quickly adapt to changing needs of the users. There is a critical need for fast decision-making within the time constraints of an ongoing emergency. Extreme events are volatile, change rapidly, and can have unpredictable outcomes. Large, not predetermined groups of experts and decision makers need a system to prepare for a response to a situation never experienced before and to collaborate to respond to the actual event. Extreme events easily require a hundred or more independent agencies and organizations to be involved which usually results in two or more times the number of individuals. To accomplish the above objectives we present a philosophical view of decision support for Emergency Preparedness and Management that has not previously been made explicit in this domain and describe a number of the current research efforts at NJIT that fit into this framework. |
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Address |
Information Systems Department, New Jersey Institute of Technology, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Information Coordination between Heterogeneous Emergency and Relief Agencies |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1025 |
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Author |
Connie White; Murray Turoff; Bartel A. Van De Walle |
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Title |
A dynamic delphi process utilizing a modified thurstone scaling method: Collaborative judgement in emergency response |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
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Issue |
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Pages |
7-15 |
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Keywords |
Decision support systems; Time series; Collaboration; Decision supports; Delphi; Emergency response systems; Group support systems; Incomplete data; Judgment; Paired comparison; Thurstone's Law of Comparative Judgment; Ubiquitous; Emergency services |
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Abstract |
In an extreme event or major disaster, very often there are both alternative actions that might be considered and far more requests for actions than can be executed immediately. The relative desirability of each option for action could be a collaborative expression of a significant number of emergency managers and experts trying to manage the most desirable alternatives at any given time, in real time. Delphi characteristics can satisfy these needs given that anyone can vote or change their vote on any two options, and voting and scaling are used to promote a group understanding. Further utilized with Thurstone's Law of Comparative Judgment, a group decision or the range of acceptability a group is willing to consent to, can be calculated and utilized as a means of producing the best decision. A ubiquitous system for expeditious real-time decision making by large virtual teams in emergency response environments is described. |
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Address |
New Jersey Institute of Technology, United States; Tilburg University, Netherlands |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
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Track |
GENE |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1082 |
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Author |
Gerhard Wickler; George Beckett; Liangxiu Han; Sung Han Koo; Stephen Potter; Gavin Pringle; Austin Tate |
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Title |
Using simulation for decision support: Lessons learned from FireGrid |
Type |
Conference Article |
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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 |
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Volume |
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Issue |
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Pages |
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Keywords |
Data acquisition; Information systems; Decision supports; Emergency responders; High-performance computing; Model-based simulations; Sensor data; Time simulations; Decision support systems |
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Abstract |
This paper describes some of the lessons learned from the FireGrid project. It starts with a brief overview of the project. The discussion of the lessons learned that follows is intended for others attempting to develop a similar system, where sensor data is used to steer a super-real time simulation in order to generate predictions that will provide decision support for emergency responders. |
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Address |
Artificial Intelligence Applications Institute, University of Edinburgh, United Kingdom; EPCC, University of Edinburgh, United Kingdom; NeSC, University of Edinburgh, United Kingdom; SEE, University of Edinburgh, United Kingdom; AIAI, University of Edinburgh, United Kingdom |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1087 |
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