Анализ данных науки, образования и инновационной деятельности с использованием методов анализа паттернов
Математические методы анализа решений в экономике, бизнесе и политике. WP7. Высшая школа экономики, 2012. № 07.
Analysis of the science, education and innovation data is very difficult and complex problem. In this paper we describe the method of pattern analysis and the results of its application to the problem of analyzing the development of science, education and the success of innovative activity in the regions of the Russian Federation. In this study we examined characteristics of the regions of Russia such as the level of socio-economic conditions and the potential and efficiency of science, education and innovation from 2007 to 2010. Also we obtain a classification of regions by the similarity of the internal structure of these indicators, constructed trajectories of regional development over time, and found groups of regions carring out similar strategies.
Publication based on the results of: An investigation of new methods of mathematical modelling and mechanism design in the social, economic and political sciences(2013)