Intellectual capital in artificial intelligence as a driver of technological potential in Russia

Aim. The work aimed to identify opportunities for updating scientific heritage as an additional tool in the development and implementation of scientific organization development program, and to assess its potential for ensuring value and cognitive community in the scientific community and stimulating technological development in Russia.

Objectives. The work seeks to examine, as an example, the «Scientific Heritage» initiative project which includes scientific and educational events held as part of the 10th anniversary of science and technology in the Russian Federation (2022–2031) and the celebration of the 300th anniversary of the Russian Academy of Sciences (RAS), implemented by the A. A. Kharkevich Institute for Information Transmission Problems (IITP) of the Russian Academy of Sciences (RAS) with the resource support of the Natural Sciences Library (NSL) of the Russian Academy of Sciences. The project focuses on research, archiving, popularization, and educational propagation of the achievements of outstanding Russian scientists, as well as the formation of value and cognitive continuity in the scientific community. The work seeks to analyze various management concepts and identify approaches to structuring and scaling humanitarian and educational projects in the context of realizing the research and educational potential of a scientific organization, including assessing the applicability of the historical experience of accelerated technological growth to the formation and implementation of research fields within the scientific organization, as well as to study the forms of institutional memory structures, mechanisms for intergenerational knowledge transfer, and value systems among researchers and science administrators.

Methods. The study is based on a synthesis of classical organizational theories and modern management models applicable to the study of the process of updating scientific and technical heritage in the field of artificial intelligence and machine learning. The authors conducted a historical and theoretical analysis of the works of leading scientists of the Institute for Information Transmission Problems of the Russian Academy of Sciences to identify the relevance of their ideas to contemporary research fields. Moreover, a series of scientific and educational events were held, providing a platform for scientific dialogue on the development of artificial intelligence and machine learning in the context of the further evolution of the Institute for Information Transmission Problems of the Russian Academy of Sciences as a federal scientific institution with a unique mission and institutional role. Conceptual modeling and appliedmanagement analytics methods were used to evaluate the organizational and strategic mechanisms for integrating scientific heritage into the institute’s development program.

Results. The «Scientific Heritage» project was used as an example to demonstrate the applicability of the presented approaches to rethinking and expanding the potential of a scientific organization when formulating development goals for a scientific institution; as well as the practicability and feasibility of scaling up the experience of studying scientific heritage for the technological development of Russia was also assessed.

Conclusions. Updating the scientific heritage, in conjunction with the development of scientific communications in various forms (public lectures, digitalization of archival materials, library exhibitions, scientific journalism, etc.), plays an important role in identifying historically established mechanisms for solving organizational and scientific and practical problems. Such mechanisms are capable of ensuring the accelerated development of science and technology and strengthen the country’s technological potential. Moreover, updating the scientific heritage can be considered as an additional management resource in the process of designing and implementing development strategies for specialized scientific organizations. The practical significance of this work is determined by the identified potential for scaling this experience to the level of institutional practice, incorporated into the tools of state scientific and educational policy, which opens up opportunities for strengthening the national scientific identity and stimulating accelerated technological progress.

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