ISCRAM Digital Library -- Query Results

Andreas Lotter, Konrad Barth, Brauner Florian, Florian Steyer, Ompe Aime Mudimu, & Alex Lechleuthner. (2016). Measurement of information flows in rescue exercises in the aftermath of the collapse of a building. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro. Abstract: Collapsed buildings are one of the most complex challenges for rescue forces. The large amount of incoming information in particular is a major challenge to handle for the involved forces. The Assessment of this information is necessary in order to be able to give reliable statements about the number of buried and missing victims. To improve the handling of the information, the authors have developed a method to measure information flow during rescue exercises after the collapse of a building. This method has been developed within VERVE, a research project subsidized by the German Federal Ministry of Education and Research (BMBF). The method has been evaluated and tested through two exercises. Keywords: Collapsed Buildings; Information Flow; Table-Top Exercises; In-Field Exercises Track: Command and Control Studies http://idl.iscram.org/show.php?record=1383
Hagen Engelmann, & Frank Fiedrich. (2009). DMT-EOC – A combined system for the decision support and training of EOC members. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM. 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. 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 Track: Intelligent Systems http://idl.iscram.org/show.php?record=476

Abstract: Collapsed buildings are one of the most complex challenges for rescue forces. The large amount of incoming information in particular is a major challenge to handle for the involved forces. The Assessment of this information is necessary in order to be able to give reliable statements about the number of buried and missing victims. To improve the handling of the information, the authors have developed a method to measure information flow during rescue exercises after the collapse of a building. This method has been developed within VERVE, a research project subsidized by the German Federal Ministry of Education and Research (BMBF). The method has been evaluated and tested through two exercises.

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.

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

Track: Intelligent Systems

http://idl.iscram.org/show.php?record=476