About the Possibility of Using Digital Twins of Organizations in the State Planning System

Abstract

The article considers the possibility of using a digital twin of the social system in the system of state planning. It is shown that the use of a digital twin makes it possible to ensure greater transparency of the activities and status of organizations included in the state planning system for public administration bodies, calculate the risks of activities for the implementation of state programs and projects, as well as timely calculate the consequences of changes in operating conditions and make decisions to correct activities. A comprehensive mathematical agent-based model of a social system functioning in an active environment, which is the basis of a digital twin, is briefl y characterized. The model is based on a strict theoretical framework describing the laws of the evolution of the social system in the socio-economic space. It simulates the dynamics of a social system, operating with a strictly limited number of entities, some of which are invariant, and some are variable values. This set of entities allows us to comprehensively describe the phenomena and processes observed in social systems. As a result of in-depth study of the nature of social systems, using an interdisciplinary approach, it became possible to determine a set of phase variables that accurately describe the situation of a social system in the socio-economic space and formalize patterns linking the values of phase variables and the results of the functioning of the organization. This makes it possible to trace its dynamics by fi xing changes in the values of phase variables. This makes it possible to record the situation in the digital twin of the social system, which makes it possible to ensure transparency of its state for interested persons. This, in turn, makes it possible to use a digital twin to calculate the dynamics of the system for the purposes of planning its evolution. Due to the peculiarities of the model, the use of a digital twin does not require signifi cant amounts of data from the past period — it is enough to fi x the current state of the organization in order to be able to calculate its dynamics for development planning purposes. This makes it possible to include newly created organizations and individual projects, including socially signifi cant and defense ones, into the state planning system.