Ignacio Aedo, Daniel Sanz, Paloma Díaz, & Jorge De Castro. (2006). Modelling emergency response communities using RBAC principles. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 426–434). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: One of the main design challenges of any Emergency Management System (EMS) is the diversity of users and responsibilities that must be considered. Modelling the access capabilities of different communities of users is a relevant concern for which the RBAC (Role-Based Access Control) paradigm provides flexible and powerful constructs. In this paper we describe how we used an RBAC meta-model to specify at different levels of abstraction the access policy of a specific EMS called ARCE (Aplicación en Red para Casos de Emergencia). This approach has made it possible to face access modelling at earlier development stages, so that stakeholders got involved in analytical and empirical evaluations to test the correctness and effectiveness of the access policy. Moreover, since the RBAC meta-model is embedded into a web engineering method, we put into practice a holistic process which addresses different design perspectives (structure, navigation, presentation, interaction and access) in an integrated way.
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Daniel Twigt, João Lima Rego, Deborah Tyrrell, & Tineke Troost. (2011). Water quality forecasting systems: Advanced warning of harmful events and dissemination of public alerts. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Operational systems developed to monitor and forecast water quality can play a key role to counter and reduce the impact of harmful water quality events. Through these systems, many of the steps required to provide relevant information to the water quality manager can be automated, reducing the lead time required for a warning to be issued, as well as the potential for human error. The systems can also facilitate the routine dissemination of water quality forecasts to relevant parties in order to trigger early warnings or crisis response. This paper outlines some general characteristics of such water quality forecasting systems, focusing on the various elements from which such systems are composed. In addition, examples of existing systems to forecast bathing water quality and harmful algae blooms are provided as illustration. Such systems are either in a development stage (bathing water quality) or already used in operations (harmful algae blooms).
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