Analysis of big safety attributes: from critical technical systems to individuals and communities
Year: 2024
Type: article
Abstract: This study aims to generalize conceptual provisions of Big Safety for individuals (persons) and communities (societies). This is necessary for developing a holistic approach to assessing and ensuring the safety of social and socio-technical systems. The investigative approach is straightforward, focusing on comparing the attributes of Big Safety for technical and social systems. It continues and develops ideas of comparativistics. The investigation involves: (a) generalizing safety (Big Safety) problem for new objects; (b) developing a centripetal tendency across various directions in safety science disciplines; the integration result is the formation of general concepts, theories, and the emergence of new interdisciplinary fields, which leads to an increase in the predictive level of scientific research; (c) using the experience of the most developed areas of safety work (for example, nuclear power plant safety) for other, seemingly disparate safety objects; (d) incorporating of some principles of cybernetics into Big Safety management; (e) discussing results of Big Safety attributes comparative analysis for technical systems, individuals and communities. The main contribution of this study is an improving methodology for comparing safety attributes between technical and social systems. The analysis of the ten key Big Safety attributes reveals many common opportunities to improve the safety and security components of due to the implementation through new technologies. On the other hand, both for technical systems and for individuals and communities, the use of new technologies is accompanied by the appearance of safety/security deficits that should be analyzed and tolerated
Source: EUREKA Physics and Engineering
Language: English
Subfield: Radiological and Ultrasound Technology
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $161
OpenAlex ID: W4404864098
