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Gabriela C Barrera, & Maria C Yang. (2019). Evaluation of Digital Volunteers using a Design Approach: Motivations and Contributions in Disaster Response. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: With the growth of social media and crowdsourcing in disaster response, further research is needed on the motivations
and contributions of digital volunteers. This study applies a user-centered design approach to understanding how we
might make better tools to support digital volunteers. This user-centered design approach involves stated preference
elicitation methods through an online survey to understand what digital volunteers want in such tools. Through
choice-based conjoint analysis, we contribute to mixed-methods research to gain additional insight into motivations
and user preferences for a set of design features that might be incorporated into an online tool specifically for digital
volunteers. Initial results show preferences for measures of success that were not monetary, which aligned with
directly stated motivations for volunteering. Our findings corroborate with previous research in that feedback to
volunteers is very important, as well as being able to measure the impact of their work.
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Joanne Stevenson, Ellie Kay, Chris Bowie, Vivienne Ivory, & John Vargo. (2018). The Data Challenges of Monitoring Resilience. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 153–165). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: There is a growing global demand for planning and development interventions aimed at enhancing the resilience of human systems. Coinciding with this demand for resilience enhancement is the demand for rigorous monitoring and evaluation of resilience and of the efficacy of resilience interventions. The aim of these assessments is to help decision makers prioritise inputs in a way that will result in the greatest reduction of mortality, health effects, and economic losses. As a result, there is an almost insatiable hunger for data that can improve our understanding of the resilience of human systems in the face of disasters. This paper reflects on two ongoing projects that are part of the 'Resilience Trajectories' programme of the Resilience to Nature's Challenges National Science Challenge. The first project, the creation of a New Zealand Resilience Index, is used to illustrate the data-related challenges and limitations of quantitative resilience assessments. We argue that composite indicators are useful aids for having a robust discussion about resilience, but high-level indicators must be supplemented with local knowledge and contextual information to facilitate meaningful decision making. The second project, the Data Integration and Visualisation En Masse (DIVE) web-based data catalogue, presents a partial solution to some of the resilience data challenges we have observed in the creation of the national index.
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Remko Van Der Togt, Euro Beinat, & Henk J. Scholten. (2004). Location-based emergency medicine: Medical Location Services for emergency management: Information and coordination of rescue resources. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 45–50). Brussels: Royal Flemish Academy of Belgium.
Abstract: Crisis and disaster management in the Netherlands has made huge leaps forward in recent years with regard to different organisations trying to manage one or more aspects of the safety chain. This research focuses on the information structure of health care during disasters with an aim to improve disaster management and tries to answer the following question: How can location based services improve information services within health care during disasters? Through the use of literature and interviews this thesis describes how disaster management can be improved through the use of Location Based Services (LBS). The scope of this research is aimed at better understanding the organisational processes during somatic health care. By defining a case and on the basis of literature and interviews in the Province of Utrecht, it was possible to develop a three layer graph model (3LGM). This model shows an overview of information processes performed by the health care organisation during the first hour after an accident. In this context, the 3LGM model is used to obtain an overview of the quality of information processing in such a problem area. The organisational structure, which deals with disaster management, consists of a strong co-operation between the police, fire departments, the local government and the 'Medical Aid during Accidents and Disasters' (GHOR). The size of the organisation depends largely upon the scale of the disaster, however the current information structure is not suitable for storing and processing the information in an efficient and effective manner. The same applies when displaying information related to casualties and safety within an area. With the help of location based services consisting of, geographical information systems (GIS), global positioning systems (GPS) and second or third generation telecommunication technologies, the existing information structure can be optimised. Expected advantages are higher accessibility to health care, a safer environment for rescuers, more time for managing the healthcare processes and an improved interdisciplinary co-operation between the police, fire departments, the local government and the GHOR. © Proceedings ISCRAM 2004.
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