Tools for Predicative Analytics in the Development of the Ecosystem “Education – Research – High Technology Industry”

Abstract

The article presents the authors' vision on the use of predictive analytics in determining the strategic prospects for the development of ecosystems “Education – Research – Hightech industry" in order to overcome the technological imbalance in the Russian Federation. The authors have detailed the participants and their role in the regional consortia “Education – Research – High-tech industry”. It is proposed to use the tools of predictive analytics for the choice of vectors of development of the integrated system “Education – Research – High-tech industry”, including, for example, scientific and technological center “Intellectual Electronics – Valdai” implemented in the Novgorod “Education – Research – High-tech industry” is presented; the predictors used in the model are described. Predictors are proposed to determine the impact of the regional ecosystem “Education – Research – High-tech industry” in the region on the level of its innovative development. The research results presented in the article can be applied when strategizing innovative scientific and technological centers created in the Russian Federation and adjusting programs to overcome technological imbalance. Keywords—predictive analytics, regional ecosystem “Education-Research-High-tech industry”, innovative scientific and technological center