The article clarifies the ontological and epistemological foundations of the concepts of global socio-ecological modeling. There are three main stages in the formation of concepts of global socioecological modeling: 1) scientific fixation and theoretical understanding of the specific features of
general trends in the development of social phenomena that determine the state and degree of "human-like" results of political, legal, economic and socio-cultural social actions and processes taking place in the modern world; 2) detection of potential threats and dangers of the development
of the socio-historical process in the emerging direction; 3) development of a set of measures designed to neutralize or eliminate potential social threats identified at the second stage of research.
The heuristic significance of the idealized socio-ecological model is revealed. The question of the predominance of natural or social laws in the basis of knowledge in the field of social ecology is investigated. The heuristic significance of the idealized socio-ecological model is due to the fact that it allows us to scientifically assess the existing system of social relations, from the point of view of its compliance with safety criteria, and to identify the most problematic trends in the development
of these relations. The article substantiates the following definition of global socio-ecological modeling – it is the formation of a logical analogue that captures the characteristics that are important for ensuring the life of human society, and their theoretical understanding aimed at identifying,
minimizing or overcoming possible negative social consequences of the trends of its change and development.
Translated title of the contributionOntological and epistemological foundations of the concepts of global socioecological modeling
Original languageRussian
Pages (from-to)20-26
JournalКОНТЕКСТ И РЕФЛЕКСИЯ: ФИЛОСОФИЯ О МИРЕ И ЧЕЛОВЕКЕ
Volume11
Issue number
StatePublished - 2022

    Research areas

  • ontology, epistemology, modeling, social ecology, global socio-ecological modeling

ID: 104648561