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The purpose of the paper is to develop the scientific and methodological provision of an audit of training of digital personnel for the regional economy in the conditions of Industry 4.0 by the example of regional flagship universities of modern Russia.

The authors use the method of regression analysis for determining the dependence of the level of digitization of regions’ economy on the competitiveness of their basic universities. The research is performed by the example of regions of the Volga Federal District of the Russian Federation, in which there are regional flagship universities as of early 2019.

It is determined that audit of training of digital personnel for the regional economy in the conditions of Industry 4.0 in modern Russia is conducted within the monitoring of the effectiveness of universities by the Ministry of Education and Science of the Russian Federation. Most of the indicators that are necessary for the audit of training of digital personnel for the regional economy in the conditions of Industry 4.0 are not taken into account. The data of the monitoring allow compiling a fragmentary idea of the potential of a regional flagship university in training of digital personnel for the regional economy in the conditions of Industry 4.0, while the results of this training are not assessed or controlled. This leads to low potential and low efficiency of Russia’s regional flagship universities in training of digital personnel for the regional economy in the conditions of Industry 4.0.

The forms for an audit of training of digital personnel for the regional economy in the conditions of Industry 4.0 by the regional flagship university are developed. The indicators of the potential and results of the university in training of digital personnel are combined with the existing methodology of evaluation of the effectiveness of universities in Russia. An additional advantage of the authors’ recommendations is the universal character of the developed forms, which allows using them in other countries for an audit of training of digital personnel for the regional economy in the conditions of Industry 4.0.

This chapter is aimed at reflecting technologies as the key resources of modern regions, identifying the essence and modelling the digital inequality of Russian regions, as well as forming the methodological foundation for the consistent resolution of conflicts in the regional economy of Russia. Through the example of the regional economy of modern Russia, the method of the variation analysis is used for the analysis of differences between regions that are individually investigated in relation to the level of digitalization, and their regression dependence on the level of technological development is determined. As a result, it has been found that Russian regions are characterized by a number of conflicts due to their multi-aspect inequality; these include innovation conflicts, investment conflicts and quality of life conflicts. The abovementioned conflicts are mainly caused by differences in the provision of technological resources to regions (in their digitalization). The novelty and fundamental significance of this chapter consist in the clarification of the cause of spatial inequality through differences in the provision of technological resources to regions. The unique character of this chapter consists in justification of the technology factor of the emergence of inequality and conflicts of regions. This chapter proves that technological inequality exacerbates other aspects of inequality and conflicts of regions. Originality and practical relevance of this chapter consist in the evaluation of the prospects and development of recommendations for conflict management in Russian regions through overcoming differences in their technological support and accelerating the pace of their digitalization.

Looks at the reasons for the collapse of both regimes and considers the importance of repression with these developments. Contrasts the methods of Imperial Russia with the Bolsheviks looking at Court proceedings, prison conditions, education and propaganda in prison, exile and the secret police. Concludes that whilst social support is usually seen as essential for survival of a system, repression is not regarded as a positive element but can become the method for a system’s survival and stability.