Evseev V. O.
SCIENTIFIC NAVIGATOR: THE CONCEPT OF AN ANALYTICAL PLATFORM AUDITING AND GOAL-SETTING OF SCIENTIFIC RESEARCH
Research Full Article
UDC 001.89:004.8:338.2
Abstract. Modern science, especially in the social and humanitarian field, is faced with a paradox: an exponential increase in the number of publications is not accompanied by a comparable increase in practically useful knowledge. A significant part of the work reproduces a limited set of semantic constructions, which leads to semantic saturation of subject fields and a decrease in the share of truly innovative research. Goal. To develop a concept and prototype of an information and analytical platform capable of diagnosing “conceptual tautology”, identifying unexplored interdisciplinary gaps and building chains of interrelated scientific papers that maximize social, economic and political impact. Methods. The platform is based on the integration of three methodological blocks: a knowledge management system (ontological engineering of subject fields), an expert system “Audit of scientific research” (formal certification of concepts and calculation of the SGI semantic gap index) and the concept of maximum synergy of science and practice, formalized through a multiplicative model for evaluating the effectiveness of public administration G and an indicator of positive PSR self-regulation. Results. Pilot studies conducted in the subject areas of “Public and municipal Administration” and “Political Science” have shown that the platform is able to: a) quantify the level of semantic saturation of S(t) for any topic; b) identify “white spots” with a GapScore > 0.85; c) create “research programs” (scientific schools), each of which demonstrates a coefficient of social return on SROI investments from 4.8:1 to 9.5:1. The novelty. For the first time, a closed cycle of scientific knowledge management is proposed: from the diagnosis of duplication to the design of breakthrough research chains with a predictable contribution to national competitiveness. Conclusions. The platform is not a control tool, but anscientific navigator and intellectual asset for scientists, supervisors, and authorities, ensuring the transition from extensive replication of meanings to intensive increment of knowledge.
Keywords: scientific navigator, scientific knowledge management, semantic saturation, conceptual audit, scientific school, interdisciplinary gaps, GapScore, positive self-regulation index, strategic goal setting, social return on investment, state competitiveness
References:
1. Abramova N.G., The problem of plagiarism in scientific papers. Scientific periodicals: problems and solutions. 2011.-2 (2) pp. 25-28. (In Russian)
2. Buchwald E.M. Goal setting as the core of strategic planning. Bulletin of the Institute of Economics of the Russian Academy of Sciences. 2025. No. 1. pp. 7-23. (In Russian)
3. Bratchenko S.A. Goal setting in public administration: issues of achievability, relevance and consistency of goals. Bulletin of the Institute of Economics of the Russian Academy of Sciences. 2025. No. 1. pp. 24-46. (In Russian)
4. Guba K.S. Scientometric indicators in the assessment of Russian universities: research. The world of Russia. 2022. Vol. 31. No. 1. pp. 49-73. (In Russian)
5. Dankova T.N., Problems of modern terminology : a monograph / T. N. Dankova, O. V. Zagorovskaya ; Ministry of Agriculture of the Russian Federation, Federal State Budgetary Educational Institution of Higher Education “Voronezh State Agrarian University named after Emperor Peter I.”. Voronezh : Voronezh State Pedagogical University, 2018, 219 p.
6. Evseev V.O. Analytical value added and budgetary value added: an approach to improving the efficiency and competitiveness of public administration. Problems of management theory and practice. 2026. No. 2. pp. 45-71. (In Russian)
7. Evseev V.O. Modeling the influence of learning process factors on the probabilistic characteristics of students’ decisions. CITISE. 2025. No. 1 (43). pp. 490-504. (In Russian)
8. Zakharov V.N., Khoroshilov A.A., Khoroshilov A. A., Method of automatic detection of implicit borrowings in scientific and technical texts. Artificial intelligence and decision-making. — 2017. — No. 1. — pp. 10-20. (In Russian)
9. Kulik A.N. Public administration 2.0: introduction of the model of public administration in practical activity. Political science. 2023. – 4. – pp. 147-169. (In Russian)
10.North D. Institutes, institutional changes and the functioning of the economy / translated from English. — M.: Beginnings, 1997. — 180 p.
11. Ostrom, E. Managing the common: the evolution of institutions of collective activity / translated from English. Moscow: IRISEN, Mysl, 2011. 447 p.
12. Semenov E. V., Sokolov D. V. Methodological problems of complex research of digital transformation of scientific communications. Management of science: theory and practice. Volume 2021. 3. No. 2. pp. 75-98 (In Russian)
13. Thaler R., Sunstein K. To push. Architecture of choice / translated from English. — M.: Mann, Ivanov and Ferber, 2017. — 237 p.
14. Boyak K.V., Klavans R. Analysis of joint citations, bibliographic connection and direct citation: which approach to citation most accurately reflects the research direction?. Journal of the American Society of Information Science and Technology. 2010. Vol. 61, No. 12. pp. 2389-2404. (In Russian)
15. Li, Yu., Park, E. Towards sustainable agent-based artificial intelligence systems: an overview of architecture and methodologies. Scientometry. 2024. Volume 126. pp. 5245-5268.
16. Reimers N., Gurevich I. Sentence-BERT: Embedding sentences using Siamese BERT networks // Proceedings of EMNLP-IJCNLP. Hong Kong, 2019. pp. 3982-3992.
17. Small H. Joint citation in scientific literature: a new measure of the Relationship between two documents // Journal of the American Society of Information Sciences. 1973. Volume 24, No. 4. pp. 265-269.
18. Zhang T., Kishore V., Wu F., Weinberger K.K., Artzi Y. BERTScore: evaluation of text generation using BERT // Proceedings of the ICLR. Addis Ababa, 2020. pp


