Vangelis Pitidis, Joao Porto de Albuquerque, Jon Coaffee, & Fernanda Lima. (2022). Enhancing Community Resilience through Dialogical Participatory Mapping. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 495–503). Tarbes, France.
Abstract: Citizen generated data can play an important role in enhancing community resilience. However, the relationship between data and community resilience has only been partly addressed in existing resilience scholarship, predominantly from the perspective of data utilisation in response to unfolding crises. Yet, in this study we attempt to highlight a different pathway for data-enabled contributions to community resilience, focusing on the process of data generation and its capacity to constitute a transformative moment itself. By exploring the case of the marginalized flood-prone community of M’Boi Mirim in São Paulo, Brazil, we introduce the concept of dialogical participatory mapping, and we argue that the process of generating geospatial data can empower local communities and assist in nourishing a resilience spirit among community members.
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Sofia Kostakonti, Ramona Velea, Vassilis Papataxiarhis, Daniele Del Bianco, Uberto Delprato, & Stathes Hadjiefthymiades. (2021). A semantic approach for modeling vulnerability of communities. 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. 305–318). Blacksburg, VA (USA): Virginia Tech.
Abstract: In this paper, we propose the use of semantic technologies for the representation of concepts and relationships required for the modeling of vulnerability data for local communities. First, we discuss the concepts of vulnerability and resilience and we try to identify the relationship between the two. We provide some background knowledge and we present basic characteristics of the two concepts. Next, we discuss the motivation behind the use of semantic technologies, and we show how the proposed framework can address existing challenges in terms of vulnerability assessment. The core part of this paper focuses on the semantic representation of community vulnerability aspects. We give an overview of the layered semantic framework consisting of interconnected ontological models and we provide a set of use-cases where the use of semantic-based modeling and query answering can prove beneficial in terms of assessing vulnerability.
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Hoang Long Nguyen, Yasas Senarath, Hemant Purohit, & Rajendra Akerkar. (2021). Towards a Design of Resilience Data Repository for Community Resilience. 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. 271–281). Blacksburg, VA (USA): Virginia Tech.
Abstract: Community resilience is coming under scrutiny recently because of its need to support communities in preparing and protecting lives against risks and bouncing back to normal operations after disruptions. However, community resilience is an intricate concept that is arduous to capture and turn into explicit knowledge. This motivated us to propose a general architecture for a resilience data repository that enables communities to adopt a general methodology for collecting, storing, managing, and sharing resilience-based information. To ensure that the repository is useful and practical, we started with in-depth literature review and conducted survey with practitioners to obtain their insights into community resilience and potential data sources from local communities. Eventually, we presented the utility of the repository by describing several potential applications. Information systems professionals of community stakeholders and disaster management agencies can construct their own resilience repositories by utilising the proposed design of the architecture.
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Josep Cobarsí, & Laura Calvet. (2020). Community resilience instruments: Chances of improvement through customization and integration? In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 381–388). Blacksburg, VA (USA): Virginia Tech.
Abstract: Resilience is understood as the ability of a system, community or society exposed to hazards to resist, absorb, accommodate, adapt to, transform and recover from the effects of a hazard in a timely and efficient manner. So far, dozens of measurement instruments have been developed to measure community resilience to disasters, considering each one different types of hazards (general, natural, climate, man-made, etc.) and communities (general, urban, rural, etc.). However, none of these instruments has been widely adopted yet. In this context, we discuss important gaps for resilience research and practice. Then, we propose a conceptual framework to review community resilience instruments, so to enhance their improvement through two facets (or dimensions) we propose of customization and integration. This framework is characterized by the following properties for community resilience instruments: encapsulation, intelligibility, geographical focus, hazard range focus, connectivity, adaptability to dynamic conditions, datification, and stakeholders' involvement. We look forward to apply this framework to review a purposive sample of community resilience instruments regarding natural disasters.
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Abbas Ganji, Negin Alimohammadi, & Scott Miles. (2019). Challenges in Community Resilience Planning and Opportunities with Simulation Modeling. 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: The importance of community resilience has become increasingly recognized in emergency management and
post-disaster community well-being. To this end, three seismic resilience planning initiatives have been
conducted in the U.S. in the last decade to envision the current state of community resilience. Experts who
participated in these initiatives confronted challenges that must be addressed for future planning initiatives.
We interviewed eighteen participants to learn about the community resilience planning process, its
characteristics, and challenges. Conducting qualitative content analysis, we identify six main challenges to
community resilience planning: complex network systems; interdependencies among built environment systems;
inter-organizational collaboration; connections between the built environment and social systems;
communications between built environment and social institutions? experts; and communication among
decision-makers, social stakeholders, and community members. To overcome the identified challenges, we
discuss the capability of human-centered simulation modeling as a combination of simulation modeling and
human-centered design to facilitate community resilience planning.
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