Schauer, S., Petersen, L., Grace, R., & Roohi, M. (2023). From Resilient Critical Infrastructures to a Resilient Society. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 1076–1077). Omaha, USA: University of Nebraska at Omaha.
Abstract: With the current international crises such as the Ukrainian war, the ongoing climate change, or the interruptions in international supply chains and recent incidents like the earthquake in Turkey or the Ohio train derailment, it becomes more obvious that “just” protecting the society’s critical services and infrastructures will not be sufficient enough in the future. Services and infrastructures need to become more resilient to the effects of intentional threats as well as disasters caused by natural hazards to keep essential services operational and protect the people’s wellbeing. Accordingly, the solutions for achieving that and making society more resilient need to look further, beyond the boundaries of one infrastructure and beyond purely technical aspects. In this way, evolving towards a resilient society is a multi-dimensional problem integrating different viewpoints. In the technology-driven world we are living today, the social relations and interactions among individuals have become more important than ever and organizational structures influence the success or failure of technological solutions. Furthermore, many frameworks for societal/social/community resilience include as a metric the availability of essential services/critical infrastructure. Therefore, today’s technical solutions for protecting Critical Infrastructures need to play together with novel organizational, communal, and individual concepts as well as fulfill requirements from the economic, environmental, ethical and societal domains. In this panel, we will look at the impacts Critical Infrastructures are facing due to current crisis situations in different parts of the world and the effects this has on society. We will discuss among the panelists and with the audience on how existing and future concepts, methodologies and tools could help to improve resilience from a technical, organizational, and societal perspective.
|
|
Nils Bourgon, Benamara Farah, Alda Mari, Véronique Moriceau, Gaetan Chevalier, Laurent Leygue, et al. (2022). Are Sudden Crises Making me Collapse? Measuring Transfer Learning Performances on Urgency Detection. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 701–709). Tarbes, France.
Abstract: This paper aims at measuring transfer learning performances across different types of crises related to sudden or unexpected events (like earthquakes, terror attacks, explosions, technological incidents) that cannot be foreseen by emergency services and on the occurrence of which they have virtually no control. Although sudden crises are present in most existing crisis datasets, as far as we are aware, no one studied their impact on classifiers performances when evaluated in an out-of-type scenario in which models are tested on a particular type of crisis unseen during training. Our contribution is threefold: (1) A new dataset of about 3,800 French tweets related to four sudden events that occurred in France annotated for both relatedness (i.e., useful vs. not useful for emergency responders) and urgency (i.e., not useful vs. urgent vs. not urgent), (2) A set of monotask and multitask zero-shot learning experiments to transfer knowledge across events and types, and finally, (3) Experiments involving few-shot learning to measure the amount of sudden events instances needed during training to guarantee good performances. When compared to a cross-event setting, our preliminary results are encouraging and show that transfer from predictable ecological crisis to sudden events is feasible and constitutes a first step towards real-time crisis management systems from social media content.
|
|
Sarah Bratt, Bryan Semaan, Lauren Britton, Bryan Dosono, & Franco Zeno. (2017). Translation in Personal Crises: Opportunities for Wearables Design. 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. 266–279). Albi, France: Iscram.
Abstract: This paper reports on a qualitative study exploring personal crises that emerge during transitions. Personal crises, like crises caused by natural disasters, often lead to new behaviors and opportunities for technology appropriation and design. Through interviews with 14 military veterans re-integrating into civilian society, we find that the veterans' transitions involve several impediments related to translation work--the process through which people make sense of the conflicting rules and norms between former and present social realities. We developed guidelines for the design of new wearable devices that can aid veterans in the translation process by proposing a six-fold schema of design criteria for wearables--detection, nudging, portability/proximity, inconspicuousness, connectivity, and reflection--to empower veterans in managing personal crises, fostering resilience, and creating normalcy. Finally, we develop the concept of identity creep to explicate these translation-breakdowns.
|
|
Hayley Watson, Kim Hagen, & Tom Ritchey. (2015). Experiencing GMA as a means of developing a conceptual model of the problem space involving understanding cascading effects in crises. 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: A complex challenge facing those involved in crisis management relates to how to manage cascading effects in crisis situations. This paper provides a practice-based insight into the use of General Morphological Analysis (GMA), a non-quantified modelling method that can enable a shared understanding of the various interdependencies involved in cascading crises, by creating a conceptual model of a problem space. This insight paper provides an understanding of the nature of the method, and to reveal the project-related experiences of the facilitator and researchers, thereby contributing to an understanding of the benefits and challenges associated with GMA. Authors find that GMA provided a useful means of a multidisciplinary group developing an initial conceptual model for a complex problem. Whilst a challenging experience, the method will be used for conducting gap analyses at a later stage in the project, thus providing benefits to understanding and managing cascading effects in crises.
|
|
Irina Temnikova, Carlos Castillo, & Sarah Vieweg. (2015). EMTerms 1.0: A Terminological Resource for Crisis Tweets. 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: We present the first release of EMTerms (Emergency Management Terms), the largest crisis-related terminological resource to date, containing over 7,000 terms used in Twitter to describe various crises. This resource can be used by practitioners to search for relevant messages in Twitter during crises, and by computer scientists to develop new automatic methods for crises in Twitter.
The terms have been collected from a seed set of terms manually annotated by a linguist and an emergency manager from tweets broadcast during 4 crisis events. A Conditional Random Fields (CRF) method was then applied to tweets from 35 crisis events, in order to expand the set of terms while overcoming the difficulty of getting more emergency managers? annotations.
The terms are classified into 23 information-specific categories, by using a combination of expert annotations and crowdsourcing. This article presents the detailed terminology extraction methodology, as well as final results.
|
|