Digital Platform for Modeling the Development of Regional Innovation Systems of Russian Federation.

Autor: Bolsunovskaya, Marina V., Kudryavtseva, Tatiana Yu., Rudskaya, Irina A., Gintciak, Aleksei M., Zhidkov, Denis O., Fedyaevskaya, Darya E., Burlutskaya, Zhanna V.
Předmět:
Zdroj: International Journal of Technology; 2023, Vol. 14 Issue 8, p1779-1789, 11p
Abstrakt: The paper aims at the design of a digital tool for analyzing the impact of scientific and technological progress on socioeconomic problems and sustainable development of the region. The research focuses on the consistent development of a digital platform for analyzing and visualizing digital data on regional innovation development, as well as predicting the sustainable development of regions based on the available regional infrastructure of innovation systems and the Russian regions' cluster structure. When designing the digital platform, we gave special attention to ensuring efficient data collection, processing, and analysis processes required for studying the socio-economic system. In the course of the work, an automated process of working with data was developed. The digital platform is being developed as a flexible tool for a wide range of users, from research centers, investors, and private enterprises to individual users interested in regional innovation development models. As part of the work, the process of selecting technical tools for the software implementation of the platform in terms of tasks and technical features of designing digital platforms is presented. The result of the work is a prototype of the Russian regional innovation system digital platform with the implemented functionality of a personal account, a module of simulation experiments, and various approaches to data analysis and visualization. The research is carried out as part of a project to develop a digital model of the regional innovation system of the Russian Federation as a driver of sustainable development. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index