ISCRAM Digital Library -- Query Results

Nicoletta Baroutsi. (2016). Observing Sensemaking in C2: Performance Assessments in Multi-Organizational Crisis Response. 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: A crisis can involve multiple organizations during high pressure events, and it is up to the Command & Control (C2) unit to provide direction and coordination for the response (Brehmer, 2006). Hard as this problem is, there is still no ?one-solution?. Dissimilar organizations with very different methods seem to be able to master the problem. This paper presents the initial development of a new evaluation method for C2 in the context of multi-organizational crisis response. The data is collected at an emergency water exercise series conducted in several cities in Sweden. Each exercise involves multiple agencies and organizations, with up to 76 participants from 15 unique organizations/units. The analysis is brief, but presents the possibility of observing Sensemaking as it unfolds, and that generic behavioral patterns can be found. The existence of generic and observable behavior patterns suggests the possibility of assessing, and maybe even quantifying, Sensemaking performance in C2. Keywords: Emergency Response; Crisis; C2; Command & Control; Sensemaking; High Reliability Organizations; Dynamic Decision Making Track: Command and Control Studies http://idl.iscram.org/show.php?record=1385
Zhenyu Yu, Chuanfeng Han, & Ma Ma. (2014). Emergency decision making: A dynamic approach. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 240–244). University Park, PA: The Pennsylvania State University. Abstract: The dynamic nature of emergency decision making exerts difficulty to decision makers for achieving effective management. In this regard, we suggest a dynamic decision making model based on Markov decision process. Our model copes with the dynamic decision problems quantitatively and computationally, and has powerful expression ability to model the emergency decision problems. We use a wildfire scenario to demonstrate the implementation of the model, as well as the solution to the firefighting problem. The advantages of our model in emergency management domain are discussed and concluded in the last. Keywords: Decision theory; Fires; Information systems; Markov processes; Risk management; Decision problems; Dynamic approaches; Dynamic decision making; Dynamic decision problem; Effective management; Emergency decision makings; Emergency management; Markov Decision Processes; Decision making Track: Decision Support Systems http://idl.iscram.org/show.php?record=1134

Abstract: A crisis can involve multiple organizations during high pressure events, and it is up to the Command & Control (C2) unit to provide direction and coordination for the response (Brehmer, 2006). Hard as this problem is, there is still no ?one-solution?. Dissimilar organizations with very different methods seem to be able to master the problem. This paper presents the initial development of a new evaluation method for C2 in the context of multi-organizational crisis response. The data is collected at an emergency water exercise series conducted in several cities in Sweden. Each exercise involves multiple agencies and organizations, with up to 76 participants from 15 unique organizations/units. The analysis is brief, but presents the possibility of observing Sensemaking as it unfolds, and that generic behavioral patterns can be found. The existence of generic and observable behavior patterns suggests the possibility of assessing, and maybe even quantifying, Sensemaking performance in C2.

Keywords: Emergency Response; Crisis; C2; Command & Control; Sensemaking; High Reliability Organizations; Dynamic Decision Making

Track: Command and Control Studies

http://idl.iscram.org/show.php?record=1385

Abstract: The dynamic nature of emergency decision making exerts difficulty to decision makers for achieving effective management. In this regard, we suggest a dynamic decision making model based on Markov decision process. Our model copes with the dynamic decision problems quantitatively and computationally, and has powerful expression ability to model the emergency decision problems. We use a wildfire scenario to demonstrate the implementation of the model, as well as the solution to the firefighting problem. The advantages of our model in emergency management domain are discussed and concluded in the last.