Software for Digital Modelling of the Russian Regional Innovation System as a Driver of Sustainable Development
A software for integrated digital modelling, analysis, and predicting of sustainable regional development based on the regional innovation systems resources and frameworks.
The aim of the project is to meet the scientific challenge of digital modelling of regional innovation system sustainable development.
The urgency of solving the issue rests on the need to boost innovation in the real economy as the framework to tackle socio-economic vulnerabilities through breakthrough scientific and technological development, as stated in the Executive Order On National Goals and Strategic Objectives of the Russian Federation through to 2024, established in the Presidential Decree of May 7, 2018.
Meeting this scientific challenge will set out the strategy for the regional innovation system modernization and raise labour efficiency and living standards, ensure the competitive capacity of the regions. Thus, integration into the regional innovation system and implementation of long-term investments in digital technologies will have a positive impact both on the regions and region's residents.
The software under development will both make up for the lack of analytical and predictive information systems of the regional economics design and allow modelling taking into account the correlation between the innovation system and sectoral composition of the economy efficiency and the regional growth parameters.
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.
|Software programming languages and frameworks||Python, Typescript, webStorm|
- Project Manager: I.A. Rudskaya, Doctor of Economics, Professor at the Graduate School of Industrial Economics of the Institute of Industrial Management, Economics and Trade, SPbPU (GSIE IMET SPbPU)
- T.Y. Kudryavtseva, Doctor of Economics, Professor at the GSIE IMET SPbPU
- A.I. Skhvediani, Candidate of Economic Sciences, Associate Professor of the GSIE IMET SPbPU
- M.V. Bolsunovskaya, Candidate of Technical Sciences, Head of the Industrial Systems for Streaming Data Processing Laboratory, NTI Center, SPbPU
- A.M. Gintciak, Project Manager, Research engineer of the Industrial Systems for Streaming Data Processing Laboratory, NTI Center, SPbPU
- A.V. Cherkas, Research engineer of the Industrial Systems for Streaming Data Processing Laboratory, NTI Center, SPbPU
- D.S. Velichenkova, Candidate of Economic Sciences, Associate Professor of the GSIE IMET SPbPU
- E.V. Korolyova, Candidate of Economic Sciences, Associate Professor of the GSIE IMET SPbPU
- D.A. Kryzhko, Specialist of the GSIE IMET SPbPU