Approach for Intellectual Potential Analysis of the Scientific Institution

An assessment of the intellectual potential scientific personnel on platform electronic demography was carried out. The current situation in field forming population registers, conducting demographic studies, as well a number works related to use new sources information and big data have been studied. Analyzed studies cover human resources, country issues migration. To determine factors influencing countries, an analysis trends economic activity population, level education, system training its financing made. In order monitor predict accordance with existing potential, conduct analytical statistical analysis, Unified Electronic Information System Scientific Personnel has created. article analyzes based registry personnel, which are clustered using k-means method, is machine learning algorithm. Based results obtained, age groups, academic degrees, universities publications were Subsequent will take into account productivity migration, great importance terms assessing country’s potential.