The article describes the use of digital twins in socio-economic processes using the example of predictive asset maintenance management. For this, the architecture of a distributed forecasting information system is proposed that collects data from digital twins and provides them with a pre-trained neural network model to obtain forecasts about the need for predictive maintenance. The article discusses two types of forecasts - about the remaining useful life and the possible failure of an asset in the considered time window. Computational experiments have been carried out, confirming that the proposed neural network model allows, due to the simultaneous training of solving two problems, to obtain more accurate forecasts than models trained to solve one problem.

We consider an arbitrary set of counterparties, united either in a social network or in the field of joint activities, for example, top management of an engineering company. It is required to build a rating for each participant based on the results of mutual evaluation of the participants of the association in question, when the significance of the counterparty’s assessment will depend on how it was evaluated by other participants in the association. To solve this problem, the interaction between counterparties was modeled in the form of a graph. For each vertex, its potential was determined, and for each edge of the graph, the flow along it. Based on these data, ratings were obtained from participants in the scientific and technical council of a machine-building enterprise. It is shown that using a similar algorithm, it is possible to obtain estimates of the significance of agents in social networks when conducting marketing research.

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The aim of the study: to develop recommendations for the comprehensive improvement of the practice of concluding and implementing a PPP agreement. Research methods: analysis, synthesis, logical modeling.In the article the authors substantiate the analysis of the characteristic features of PPP agreements and  identified four stages of this  process: The first step. The process of initiation (start) of the project; Second step. The processes of execution (implementation) of the project; Third step. Monitoring processes (monitoring) of the project; Fourth step. The process of closing (completion) of the project. There are at least two participants in this process: a "public" partner (state) and a "private partner " - a business with different legal status and resources, as well as having different goals. Each of the four selected stages presents "inputs" (initial action) and "outputs" (final action) separately for each of the participants. In the paper the authors reveal the content of each stage of the process and give step-by-step recommendations to improve efficiency. From the point of view of the authors, consistent implementation of the recommendations presented in the practice of PPP will allow you to get away from the formalism and, in general, to increase the percentage of effective PPP projects.

Abstract. The paper is dedicated to the estimation of the state of the road economy of Voronezh up to date. The state of the Voronezh road system is analysed, statistical data are given, and the problems of the city transport system are studied. On the basis of all the data obtained, ways to solve existing problems are proposed and long-range programs for the construction of new and reconstruction in operation roads are considered. The complex of works of the improvement state of the road system planned for the near future is described in detail.