Alkusaibati, W., & Pilemalm, S. (2023). Digitalized Co-production and Volunteerism in Emergency Response: a Literature Review. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 738–750). Omaha, USA: University of Nebraska at Omaha.
Abstract: ICT-enabled or digitalized co-production of public services has become increasingly relevant to emergency response and crisis management. This study provides a literature review on this phenomenon, exploring both large-scale crises and frequent emergencies. We found that research in the domain is scarce and focuses mainly on the phenomenon in terms of digital volunteerism. In large-scale crises, they mostly refer to spontaneous forms of volunteering, and in smaller emergencies, to more organized volunteers that collaborate with a response organization over time. Similarities to digitalized co-production in the public sector generally include financial, administrative, ICT, and demographic factors. Differences include, e.g., aspects of coordination, support, and processing by formal actors. We argue that there are benefits of adding a theoretical co-production perspective to digital volunteerism in emergency response and that our literature review can guide future research on models and (the double) use of volunteers in both kinds of emergencies.
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Betke, H., Bosse, M., Sackmann, S., & Reusch, C. (2023). Towards a Taxonomy for Classification of Coordination Systems for Spontaneous Volunteers. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 751–760). Omaha, USA: University of Nebraska at Omaha.
Abstract: Spontaneous volunteers have always been a relevant factor in disaster management. Digitalization and modern technologies such as social media and mobile devices had a great impact on the quality of spontaneous volunteer engagement and their mobilization. However, their targeted integration into official disaster management measures remains often challenging. In the last decade, there were different scientific and practical approaches to develop information systems for coordination of spontaneous volunteers addressing different scopes and scenarios. In this article, we have analyzed the current state of the art and use a methodological approach to develop a taxonomy for classifying existing and emerging developments in the field. The taxonomy is intended to assist practitioners in selecting appropriate systems for their respective purposes as well as support researchers in identifying research gaps. The resulting research artifact has undergone an initial evaluation and can support maintaining a better overview in a growing subject area.
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Mojir, K. Y., Maceviciute, E., Olson, N., Gatial, E., & Balogh, Z. (2023). Citizen Engagement in wildfire management: needs, challenges, methods and framework. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 761–772). Omaha, USA: University of Nebraska at Omaha.
Abstract: With climate change, the frequency and spread of wildfires have intensified globally, bearing disastrous impacts on wildlife, the economy, and human well-being. Efforts on broad fronts are required, including proactive public participation. However, studies related to citizen engagement in the context of wildfire management remain limited. Therefore, there is a need for further studies in this area. This paper reports on ongoing work conducted in the context of an H2020 project called SILVANUS. The study investigates the methods, practices, needs and challenges related to citizen engagement in wildfire management. The authors have developed a tentative citizen engagement framework, and preliminary results related to citizens' needs and challenges are presented. The study identifies relevant topics, training contents, and methods that can be used for public engagement in wildfire management. The paper contributes towards designing future engagement modalities, technologies and training materials related to wildfire management and potentially even other crises.
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Morand, O., Safin, S., Larribau, R., Rizza, C., & Robert. (2023). Using Photography as a Trace of Activity to Facilitate the Retention of Emergency Response Actions. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 773–783). Omaha, USA: University of Nebraska at Omaha.
Abstract: The chances of survival of a victim of cardiac arrest or stroke decrease considerably without rapid intervention. Bystanders, the first people able to intervene, are however few to act. This ignorance of the seriousness signs of the pathologies, and of the importance of acting, combined with a feeling of incapacity to perform emergency gestures, are the main reasons for this low level of action. The absence of knowledge originates both from a lack of training and from forgetting training courses. To overcome this problem, some trainings propose high fidelity simulation devices associated with a debriefing to create a strong emotional impact leading to a stronger memory impact. To assess the impact of this type of simulation, we set up a Living Lab including a high fidelity simulation of emergency situations (with citizens, dispatchers, first responders and paramedics), a debriefing and a method to create a “trace of activity”, still aiming at generating a higher memory impact. To measure the effects of the Living Lab, we analyzed the emotional impacts evoked by the participants, categorized the learning and finally studied the creation of the activity trace. The results show that the Living-Lab elicits emotions (for the cardiac arrest scenario) and projections (for the stroke scenario) and can therefore potentially improve the retention. The learnings were of several natures: individual and practical learnings on emergency management, learnings on collaboration within the chain of survival and theoretical learnings. Analysis of the retained learning after 2 to 8 months is in progress, therefore no results are available yet.
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