Solution

The project is multipurpose and interdisciplinary. The project team brought together economists, business analysts, data analysts, programmers, and engineers from different scientific units of SPbPU.

Within the research in the subject area, it is expected a set of econometric models to be developed, the regions of the Russian Federation to be clustered by the innovation-driven growth level, the correlation between the innovation system parameters and the regional growth level to be determined.

The scientific merit of the models set under development lies in the adaptation of the theory of the regional innovation systems and economy digitalization correlation. From a practical perspective, solving this task will make it clear how to use the tools of regional innovation systems to ensure the innovation-driven growth of the country under limitations and other economic conditions.

The Laboratory of Industrial Systems for Streaming Data Processing will carry out the digital model of the regional innovation system sustainable development implementation.

The software will obtain the following features:

• Importing historical data from custom files;
• Historical data analysis through approaches developed within the research, extraction of trends and correlations in historical data using descriptive analytics tools;
• Various options for the development of a regional innovation system using predictive analytics tools;
• Guideline on the regional innovation system development using prescriptive analytics tools.

Handling these tasks will allow for the feasibility of using the research findings in the innovation systems management of the regions of the Russian Federation.

The software will be cloud-based and use distributed computing features, which will allow scaling this model for all regions of the Russian Federation.

Technologies