Keyword: «intellectual capital»

Basis of competitiveness of the enterprises and organizations are unique knowledge and intellectual property of personnel. By means of the intellectual capital competitive advantage of the organization is created and efficiency of her activity increases. Effective formation, development and use of the intellectual capital becomes a strategic task of the modern organizations.

The paper deals with the problems of using intellectual property in the formation of an innovative economy. The author analyzes the rates of inventive activity, self-sufficiency and technological dependence in Russia in recent years and the main reasons for lagging behind other countries. In conclusion, educational programs for invention promotion are proposes.

The paper examines the provision of state grant support for social projects by the Presidential Grants Fund and the provision of social contracts for business development to low-income families with children. The statistics of grant receipts in recent years, as well as the results of the author's sociological research conducted in late 2021 and early 2022 are given. The social project "Your Business" is being considered in detail, aimed at advising and supporting families of applicants for social contracts and those who have already received them: the social significance of the project is considered, its description, goals and objectives, terms of implementation, target groups, project partners, project team, action plan, quantitative and qualitative indicators of implementation are given. The project manager is a public figure, entrepreneur, Candidate of Economic Sciences and member of the Board of the NGO "Union of Women of the Samara region" Makusheva Svetlana Vasilyevna.It is pointed out that the work on holding consultations in order to support citizens to obtain and successfully implement social contracts has been carried out in the Samara region for almost a year – since the spring of 2021. The project also assumes co-financing at the expense of sponsorship and partner funds in the amount of more than 9 percent of the total cost of the grant amount received.

The development of intellectual capital for knowledge-intensive industries and cutting-edge sciences is an urgent problem of higher education under the present socio-economic conditions. Its solution relates to the rethinking of nature and resource potential of a university. A solution path in terms of modern education concepts is the university transformation into a "knowledge factory". The scientific and education environment of the university in this sense is distinguished by its polysubjectivity and hybrid character, revealed in the interaction of natural and artificial intelligent agents. The need for theoretical and methodological grounding of intellectual capital development within the hybrid scientific and education environment determined the aim of this article which is to develop a model describing the intellectual capital main components and mechanisms for its development. The choice of tools to implement the model also needs grounding, which is given by an example of biophysics as a science with accelerated generation of new knowledge to be transferred into the learning process. The study is based on the synergetic-network approach, which potential is extended by the competence-based and ontology-semantic approaches. These approaches together provide an insight into the organisation, competence and technological aspects of intellectual capital development. The study provides the following results of theoretical significance. The nature of the university is revealed as a network education system with the triple network structure within which science, education and industry representatives interact. New scientific knowledge obtained in their collaboration is accumulated in an open knowledge base to form an integrative resource potential for the intellectual capital development. To understand this process, the authors’ model is developed to explain the intellectual capital structure as four interrelated components (human, organisation and consumer capital, intellectual property), which determine the main systems and mechanisms of its development. The practical significance of this article is in grounding tools for transferring new scientific knowledge into the learning process to implement the model. A form of knowledge representation adapted for didactic tasks is offered. That is training course ontologies as the basis for Artificial Intelligent agents. A prototype of Artificial Intelligent mentor as a web application is developed.