Adrot, A., & Aguerre, M. (2023). The Impact of conflicts on Data Sharing for Disaster Risk Reduction. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 43–53). Omaha, USA: University of Nebraska at Omaha.
Abstract: Cross-border regions are particularly exposed to hazards and require cooperation for Disaster Risk Reduction (DRR). Accordingly, multiple countries have been investing in technology and jointly innovate to share and process data against disasters. However, these countries’ capacity to share data depends on the history and the context of the border itself. Going further, conflicts between countries – may they be past, present or future – can radically question and endanger collaborative efforts to share data for DRR. This collaborative research, involving a cohort of master students and an NGO, explores the influence of conflicts on data sharing and cooperation for DRR. Still in progress, this research examines how conflicts affect data sharing and how DRR actors manage them. It is based on exploratory archive analysis of three distinct cases of cross-border DRR collaboration within the EU borders, as well as experts and actors interviewing. Preliminary findings reveal that conflicts affect DRR at three levels: i) actors, ii) interactions with DRR actors, iii) relations between local DRR actors and institutions. The expected contribution of this research is theoretical, practical and pedagogical.
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Margunn Indreboe Alshaikh, & Helena Puig Larrauri. (2012). Building resilience through crisis mapping, community engagement and recovery planning in Sudan. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Understanding that disasters and conflicts do not occur in a vacuum, but are integrally linked to the broader context in which they take place, building resilience within both state and society structures becomes a crucial tool to speed recovery and lessen the likelihood of recurrence as local and institutional capacities are put in place to respond to, manage and reduce emerging risks. Since, 2008, United Nations Development Programme in Sudan has through its Crisis and Recovery Mapping and Analysis Project been developing a participatory mapping and analysis methodology to enhance crisis responsiveness and evidence-based strategic planning both within the United Nations system and national government. Using innovative technologies and GIS, sensitive issues are contextualized and depoliticized through novel correlations and visualisations, allowing previously contesting state and society actors to jointly identify priorities for intervention and response. The process has fostered an open dialogue, strengthening the capacities of local actors to respond to emerging crises in a timely and appropriate manner. Participatory mapping has thus become a key tool in managing complexities in peacebuilding and recovery in post-crisis settings. © 2012 ISCRAM.
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Claire Laudy. (2017). Rumors detection on Social Media during Crisis Management. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 623–632). Albi, France: Iscram.
Abstract: Social Media monitoring has become a major issue in crisis and emergencies management. Indeed, social media may ease the sharing of information between citizens and Public Safety Organizations, but it also enables the rapid spreading of inaccurate information. As information is now provided and shared by anyone to anyone, information credibility is a major issue. We propose an approach to detect rumor in social media. This paper describes our work on semantic graph based information fusion, enhanced with uncertainty management capabilities. The uncertainty management capability enables managing the dierent level of credibility of actors of an emergency (dierent PSO oÿcers and citizens). Functions for information synthesis, conflicting information detection and information evaluation were developed and test during experimentation campaigns. The synthesis and conflicting information detection functionalities are very welcome by end-users. However, the uncertainty management is a combinatorial approach which remains a limitation for use with large amount of information.
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Mauro Falasca, Christopher W. Zobel, & Gary M. Fetter. (2009). An optimization model for humanitarian relief volunteer management. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: One of the challenges of humanitarian organizations is that there exist limited decision technologies that fit their needs. It has also been pointed out that those organizations experience coordination difficulties with volunteers willing to help. The purpose of this paper is to help address those challenges through the development of a decision model to assist in the management of volunteers. While employee workforce management models have been the topic of extensive research over the past decades, no work has focused on the problem of managing humanitarian relief volunteers. In this paper, we discuss a series of principles from the field of volunteer management and develop a multi criteria optimization model to assist in the assignment of volunteers to tasks. We present an illustrative example and analyze a solution methodology where the decision maker exercises his/her preferences by trading-off conflicting objectives. Conclusions, limitations, and directions for future research are also discussed.
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Jonas Landgren. (2005). Shared use of information technology in emergency response work: Results from a field experiment. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 35–41). Brussels: Royal Flemish Academy of Belgium.
Abstract: This paper presents results from a field experiment of IT-use in emergency response work of a fire crew. A prototype has been developed to probe for instances of sensemaking supported by IT-use in such work. The findings have been analyzed in relation to research on design of emergency management information systems and sensemaking theory. Key findings from the field experiment suggest that there is a potential conflict between the role-based emergency management information systems and the shared use of information technology of first responders. Further it is advocated that prototypes should be used to explore the extrinsic of the work practice difficult to uncover using only direct-observation or interviews.
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Murray Turoff. (2015). The Paradox of Emergency Management. 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: The role of Emergency Management is to respond effectively to a major emergency that cannot be handled by the day to day independent services such as fire fighters, police, and medical response facilities. However, normal evolutionary processes typically make the ability to respond to disasters more difficult. This leads to long term decision and policy conflicts and incompatibilities about desirable goals, with implications for practitioners and system designers.
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Rode-Hasinger, S., Haberle, M., Racek, D., Kruspe, A., & Zhu Xiao Xiang. (2023). TweEvent: A dataset of Twitter messages about events in the Ukraine conflict. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 407–416). Omaha, USA: University of Nebraska at Omaha.
Abstract: Information about incidents within a conflict, e.g., shelling of an area of interest, is scattered amongst different data or media sources. For example, the ACLED dataset continuously documents local incidents recorded within the context of a specific conflict such as Russia’s war in Ukraine. However, these blocks of information might be incomplete. Therefore, it is useful to collect data from several sources to enrich the information pool of a certain incident. In this paper, we present a dataset of social media messages covering the same war events as those collected in the ACLED dataset. The information is extracted from automatically geocoded Twitter text data using state-of-the-art natural language processing methods based on large pre-trained language models (LMs). Our method can be applied to various textual data sources. Both the data as well as the approach can serve to help human analysts obtain a broader understanding of conflict events.
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Willem Treurniet, & Kim van Buul. (2015). Four Archetypal Networked Organisations. 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: Complex and multifaceted problems such as emergencies typically require coordinated effort by a network of different organisations. These networks typically rely less on formal hierarchical structures and instead have a stronger focus on allowing the dynamics to emerge in the process of collaboration. A balance has to be achieved between the internal dynamics of the various member organisations that make up the network on the one hand, and the emerging dynamics of the network collaboration itself on the other ? and the precise nature of this balance will depend on the context. To help those making decision on how to achieve that balance, we have developed a framework describing four archetypal networked organisations: fragmented, deconflicted, coordinated, and collaborative and agile. The four archetypes have two purposes. Firstly, they can be used to guide networked organisations as they adapt to changing administrative and societal contexts. Secondly, they can be used to express the dynamics of the development of a response organisation in a particular emergency situation.
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