Modern technologies of detection and prevention of corruption in emerging information society

Information economy, being the newest type, in the course of formation acquires its distinctive features, which include a significant change in the needs of investors, producers, consumers and other economic relation participants. In order to achieve a competitive information economy, state support for high-tech industries is needed. It is crucial to create a clear legal framework, give boost to the formation of intellectual capital based on other countries' experience. Implementation of the strategy for high-tech industries development in Ukraine is a decisive step in creating a platform for information technology dissemination, creation of new competitive products with high added value. The purpose of the article is to investigate the transformation to the information economy, to analyze the industry competitiveness, to define the opportunities for information sphere improvement. The theoretical aspect of the emergence and formation of the information economy category is studied, the approaches to the defining this economic category and its derivatives have been studied and generalized, essential features of the information type of economic relations have been investigated, and their main components have been determined. In the article, the relationship between the level of information economy development and the competitiveness of domestic enterprises' products has been described, the factors influencing high-tech industries development in Ukraine are considered, and suggestions as for increasing the assistance to the development of knowledge-intensive sectors, including information technology, are proposed.

The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.

The problems of mixed life insurance and insurance in the case of death are considered in the article. The actuarial present value of life insurance is found by solving a system of differential equations. The cases of both constant effective interest rates and variables, depending on the time interval, are examined. The authors used the Pontryagin maximum principle method as the most efficient one, in order to solve the problem of optimal control of the mixed life insurance value. The variable effective interest rate is considered as the control parameter. Some numerical results were given.