The article considers the process of digitalization of the higher education system based on cognitive methodology. Based on the method of cognitive maps, the structural and functional aspects of the formation of a digital university in the context of the transition to a digital economy are visualized. The basic elements that determine the process of transition to a digital university (creation of a digital educational environment, formation of digital competencies, management based on a database, ensuring information security) are presented. It is determined that in the process of transition to a digital university, changes are systemic in nature, and affect management, educational, methodological and research practices, qualification requirements for all subjects of the educational process, changes in the body of technologies, methods, approaches and tools.

Keywords: cognitive model, cognitive map, digitalization, higher education system, digital university

Based on the cognitive methodology, the article considers the factors within and inter-regional migration process in the conditions of the regional community on the example of the Rostov region. Using the method of cognitive maps, the main factors of two forms of migration are visualized from the perspective of a systemic and structural approach. The structure of direct and reverse action factors that enhance / weaken the influence of structural and institutional elements on the processes of population displacement, their adaptation to new social conditions and integration into the host community is presented. Conclusions are made about the dominant factors of direct and reverse influence on the process of intra-regional (socio-economic, geographical, demographic) and inter-regional migration in the region (socio-psychological state of the population, the level of consolidation of the regional community, the activities of regional executive bodies).

Keywords: cognitive model, cognitive map, migration process, regional migration, interregional migration, direct action factors, reverse action factors, Rostov Region