John Sören Pettersson. (2022). Key Concepts for Effective Use of Digital-supported Table-top Crisis Management Exercises. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 864–875). Tarbes, France.
Abstract: Several researchers and contingency agencies have suggested good practices for crisis management exercises. Resource-constrained practitioners in the field report difficulties finding cost-efficient ways to maintain exercise cycles. This paper draws on experiences from working with professional crisis response coordinators who adapted material for table-top exercises to learning management systems, executed the exercises and evaluated team performance. This paper discusses the elimination of bottlenecks and unexpected benefits arising from more flexible exercise designs in terms of synchrony, continuity, and location. While these concepts capture the essence of the various opportunities for flexibility, they need some supporting features in the design of digital exercises. This paper argues for putting emphasis on the writing/speech dichotomy when analysing exercise designs from the perspective of the entire exercise life cycle, including evaluations and preparations for further exercises. Additionally, how requests for individual answers are planned appears to be an effective instrument for efficient exercise design and evaluation during the conducting of an exercise.
|
|
Yohann Chasseray, Anne-Marie Barthe-Delanoë, Stéphane Négny, & Jean-Marc Le Lann. (2021). Automated unsupervised ontology population system applied to crisis management domain. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 968–981). Blacksburg, VA (USA): Virginia Tech.
Abstract: As crisis are complex systems, providing an accurate response to an ongoing crisis is not possible without ensuring situational awareness. The ongoing works around knowledge management and ontologies provide relevant and machine readable structures towards situational awareness and context understanding. Many metamodels, that can be derived into ontologies, supporting the collect and organization of crucial information for Decision Support Systems have been designed and are now used on specific cases. The next challenge into crisis management is to provide tools that can process an automated population of these metamodels/ontologies. The aim of this paper is to present a strategy to extract concept-instance relations in order to feed crisis management ontologies. The presented system is based on a previously proposed generic metamodel for information extraction and is applied in this paper to three different case studies representing three different crisis namely Ebola sanitarian crisis, Fukushima nuclear crisis and Hurricane Katrina natural disaster.
|
|
Bruna Diirr, Vânia de Oliveira Neves, Marcus Vinícius Vasconcelos de Almeida Cunha, Ana Beatriz Kapps dos Reis, & Jairo Francisco de Souza. (2021). Software Requirements for Disaster Management Systems. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 1042–1054). Blacksburg, VA (USA): Virginia Tech.
Abstract: Disasters are a major global problem and a serious threat to sustainable development. In this context, the development of disaster management systems becomes a complex activity, both due to the unpredictability of the events to be treated and the difficulty in extracting or identifying these systems users' needs (requirements). This study aims to understand the requirements usually elicited for disaster management systems and how such requirements are identified. Thus, a systematic mapping of literature (SM) and an open-source repository mining (RM) were performed. Results bring benefits both to academics and practitioners, as detail several characteristics of disaster management systems that could assist these systems development and decision-making, besides providing inputs to guide further research.
|
|
Lucas Dorigueto, Carlos Brumatti, Erick Figueiredo, & Jugurta Lisboa-Filho. (2021). A Framework for Landslide Information Management Systems Development. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 515–526). Blacksburg, VA (USA): Virginia Tech.
Abstract: Volunteered Geographic Information (VGI) integrated with Disaster Information Management Systems (DIMS) has great potential to assist managers and the community in times of emergency. However, there is little research focusing on integrating VGI with DIMS, in addition, there are a lack of use of standards of interoperability and emergency, which can impair interoperability and the quality of the information contained in these systems. This work presents a fully interoperable framework aimed at the construction of DIMS, which integrates official data and VGI through ISO and OGC standards, allowing managers and the community to work with official data and VGI in order to assist managers in decision making. To show the viability of the framework, a case study using data from the risk situation of dams located in the municipality of Barão de Cocais in Brazil was carried out.
|
|
Marlen Hofmann, Hans Betke, & Stefan Sackmann. (2015). Automated Analysis and Adaptation of Disaster Response Processes with Place-Related Restrictions. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: For recent years, disaster response management is considered as a promising field for applying methods and tools from business process management. Especially the development of adaptive workflow management systems (WfMS) brought a process-oriented management of highly dynamic disaster response processes (DRP) within tangible reach. However, time criticality, unpredictability or complex and changing disaster reality make it impossible to analyze and adapt ongoing DRP within reasonable time manually. Hence, to foster the application of disaster response WfMS in practice, it becomes mandatory to develop methods supporting an (semi-)automated analyses and adaption of ongoing DRP. Addressing this research gap, we present a novel method called DRP-ADAPT which analyzes given DRP models with respect to place-related conflicts and resolves inoperable response activities (semi-)automatically by process adaptation.
|
|