Current integration processes, develop actively on the territory of Eurasian Economic Union (EEU). A single labour market has been created. Building a model of social interaction between the State Parties of EEU is crucial for the development of longterm strategy of the EEU. The Treaty on the Eurasian Economic Union (2014) provides identifying factors, threats and potential areas of cooperation between the EEU countries in the sphere of pension services. This identification requires systematizing the key indicators of EEU national pension systems. There is a necessity to improve not only the pension system of every country individually but also to search the possibilities for their coordination in the future. From the beginning of 1990th, in all EEU countries, the pension systems have been establishing and developing. The authors present the brief review and comparative analysis of these systems. We identify their similarities and differences according to set criteria and determine possible areas for integration of pension systems in EEU. We consider both the socio-economic parameters (including retirement age, amount of pension payments, pension payment procedures and pattern of pension payments) and the demographic features of the EEU countries. The paper systematizes the macroeconomic and population indicators. On their basis, we reveal the opportunities and risks for the EEU countries cooperation in the sphere of pension system. To investigate the pension systems of EEU countries, we applied the methods of logical, comparative and statistical analysis. The results of this study indicate that the coordination of the pension systems of EEU countries needs cooperation in four directions. First of all, it is necessary to elaborate the single principles of social guarantees for retirees. Secondly, there is a need to ensure guaranteed retirement income. Thirdly, single basic approaches for the regulation of investment activities of pension funds should be elaborated. Last, single data bank for pension provision can be created.

The article suggests an original uniquely designed model based on the entropic approach and the method determining the synergizing effect from the convergence of information spaces in the context of the digital economy. The model includes a 3D-modeling-built surface characterizing the reduction of the entropy of information systems clusters in the regional information space, which occurs in the process of network convergence. This model defines the entropy changes for the information systems clusters with the most typical parameters based on “The State Information System Registry of St. Petersburg” in terms of the number of modules, general typology, and functional purpose. Moreover, the model considers ranges of specific indicators characterizing the real regional information systems of St. Petersburg. We have concluded that the synergetic effects of convergence in the context of the digital economy lead to a reduction in the regional information space entropy. We have discovered that the increasing number of the converged clusters of information spaces leads to a stable entropy decrease in them. These features allow numerically describing the discovered convergence effects and estimating the effect of digital structural transformations of the economic system on the information space of a region in terms of its management efficiency. We have concluded that increasing the number of information systems involved in the digital convergence processes causes a more considerable entropy reduction and, consequently, a more significant increase in the effectiveness of regional system management. The research has revealed a relevant area of cross-disciplinary research, which consists in the emergence of a whole class of new neural network in the modern digital neural network economy. This research is of practical significance in developing new management algorithms and making effective managerial decisions in the conditions of large-scale digitalization and networking of regional and national management.