This article focuses on the question of the impact of the COVID-19 crisis on air pollution. The chosen approach is based on the principle of “Physics of Decision” (POD), which considers: (i) the performance of a system as a physical trajectory within the framework of its performance indicators, (ii) risks or opportunities (potentialities) as forces that may deviate that trajectory, and (iii) benefits or damages (actualities) as concrete deviations of the performance trajectory. The daily data about the air pollution in Paris area (France) has been gathered for eight years (2014-2021) and three main performance indicators have been chosen. Then, the performance trajectory of each year has been plotted and the expected trajectories of 2020 and 2021 have been guessed from the previous ones. The deviation between the expected and actual trajectories of 2020 and 2021 have been assessed, and using physics and motion laws, evaluated as a deviation force.
Organizations affected by a cyber-attack usually rely on external Cyber Incident Response (CIR) consultants to conduct investigations and mitigate the impact. These CIR consultants need to make critical decisions that could have major impact on their clients. This preliminary investigation aims to get a better understanding of CIR decision -making and answers the following questions: (1.) To what extent do experienced CIR consultants use a Recognition-Primed Decision (RPD) Making strategy during their work? (2.) What are the implications for cyber crisis management as well as for training and decision -making? To answer these questions, we conducted a literature review and interviewed six experienced CIR consultants using the Critical Decision Method. Our analysis reveals that CIR consultants recognize situations based on past experiences and apply a course of action that has worked effectively in the past. This course of action is mainly aimed at collecting and evaluating more data. This finding differs from other operational domains, such as the military and fire department, where recognition is usually followed immediately by action. For cyber crisis management, this means that crisis management teams should decide to what extent and in what ways they want to mitigate the risk of responding belatedly to cyber events, which could potentially lead to unnecessary data theft and sustained business disruption. Another implication is that crisis management teams should consider whether additional forensic investigations outweigh the expected benefits throughout the response process. For instance, if the likely entry-point of the attacker has been discovered, how much effort should be devoted to exclude other potential entry-points. Reflecting on the status-quo, several implications for training and decision making are provided.
Social media analytics provide a generalized picture of situational awareness from the conversations happening among communities present in social media channels that are that are, or risk being affected by crises. The generalized nature of results from these analytics leaves underrepresented communities in the background. When considering social media analytics, concerns, sentiment, and needs are perceived as homogenous. However, offline, the community is diverse, often segmented by age group, occupation, or language, to name a few. Through our analysis of interviews from professionals using social media as a source of information in public service organizations, we argue that practitioners might not be perceiving this segmentation from the social media conversation. In addition, practitioners who are aware of this limitation, agree that there is room for improvement and resort to alternative mechanisms to understand, reach, and provide services to these communities in need. Thus, we analyze current perceptions and activities around segmentation and provide suggestions that could inform the design of social media analytics tools that support inclusive public services for all, including persons with disabilities and from other disadvantaged groups.
In November 2021, a large-scale crisis exercise was organized in the heart of the Pyrenees. The main objective of this cross-border exercise between France, Spain and Andorra was to allow practitioners to prepare for a large-scale earthquake, by testing the contribution of the tools developed within the framework of the European project POCRISC. Among the different functions activated during the exercise, this article focuses on the particularly critical function of emergency assessment of building damage. It analyses the feedback from the exercise participants asked to evaluate the deployment, coordination and operation of the damage assessment function, including the use of a tool developed specifically for these activities.
Knowledge on the practical support from data ecosystems to disaster risk reduction remains partial. More specifically, we misunderstand the drivers and challenges inherent to emergency data ecosystems development in cross-border regions. We also miss cases of data ecosystem building in those regions. This research addresses these gaps by abiding by the principles and guidelines of visioning, a prospective and collaborative research design. Based on qualitative interviewing and archive analysis of the case 2020 Roya Valley floods, this work provides a prospect of a segment of data ecosystem that involves an organizational field aiming at Disaster Risk Reduction (DRR) at the French-Italian border. Still in progress, this work provides a comprehensive narration of a fictious data ecosystem. The narration hints at the major benefits and challenges inherent to this potential data ecosystem. This work enriches our understanding of data ecosystems’ features and benefits to cooperation between organizations involved in emergencies at borders (such as governments, civil protection agencies, volunteer-based organizations). In future development it will propose an agenda to support practitioners in the development good practices related to data ecosystems.
In case of sudden and extreme life-threatening situation, the most efficient system fulfils the requirement of mobile phone emergency alerting information services. But how much information and what type of content must be used in a textual message, and how adapt this alert to a large audience and diversified contexts? This paper proposes to address this challenge, 1) by presenting results obtained in France during simulated “alerting days”, with sampling revealing the perception and understanding of SMS and CB by a non-specialized audience (161 respondents), and 2) by comparing findings obtained in different contexts (students and teaching staff in a university, crisis managers and stakeholders in an industrial context, citizens working near high-risky areas). Even if reactions to an alert are individual, similar patterns emerge, suggesting that standardized and non-random needs exist.
While a wide range of disaster apps are currently available, few address the topic of CBRNe (Chemical, Biological, Radiological, Nuclear and explosive) risks and threats. The proven value of disaster apps in emergency management and the unique ways in which citizens prepare for and respond to CBRNe incidents merit that such an app exist. However, disaster apps also have their limitations, namely uptake and accessibility. The PROACTIVE project is filling these gaps by co-creating together with vulnerable groups an accessible CBRNe disaster app. This article examines the results from four workshops held with the potential end-users recruited from vulnerable groups. Following the MoSCoW methodology, requirements were established and their relevance to the Universal Design principles discussed. For instance, it was found that the app Must have a less chaotic interface which would help meet the principle of simple and intuitive use. Lastly, the app redesign is showcased.
Improving the survival rate of Out-of-Hospital Cardiac Arrest (OHCA) remains an important public health issue. Indeed, current survival rates are approximately 10% and can be significantly enhanced by early Cardiopulmonary reanimation (CPR) and early defibrillation. Bystanders are most likely to perform these acts, but few resources (such as digital apps) are dedicated to them due to a lack of confidence in their abilities from them and from the professionals. In order to build trust and collaboration between the dispatchers and the bystanders, an OHCA simulation workshop was conducted involving the whole survival chain. The main idea consisted in getting the participants to interact via an application dedicated to bystanders which provided a CPR demonstration video. The aim was to analyze the effects of this video on the CPR itself and especially on the lived-experience of the participants. A further objective was to assess how the shared workshop would affect the relationship between the stakeholders.
