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Tarasenko V.V. Mechanisms for improving the competitiveness of science in the light of cluster-microservice architecture. Cognitive Sciences in the Information Society. 2026; 6(3). Available at: https://knio.ru/PDF/01KN326.pdf (in Russian).

Mechanisms for improving the competitiveness of science in the light of cluster-microservice architecture

Tarasenko Vladislav Valerievich
Bauman Moscow State Technical University (National Research University), Moscow, Russia
E-mail: v5093075@gmail.com

Abstract. This article examines the problem of increasing the competitiveness of science in the context of digital transformation. It is shown that traditional methods of government support for science — sectoral planning, institute funding, and publication metrics — are based on an outdated model of science as a hierarchical, disciplinary system and are ineffective in a distributed knowledge ecosystem. Based on cluster-microservice architecture (CMA), this paper proposes a new approach to diagnosing and overcoming anti-patterns that reduce scientific competitiveness: monolithic structures, interface and platform lock-in, suppression of polymorphism and inheritance, and the substitution of political struggle for healthy competition. The paper formulates principles for shaping the science of the future: encapsulation and interfaces, polymorphism, recursive feedback, inheritance, discretization, and reflection. This article is intended for political scientists, government officials, and experts in science and technology policy.

Keywords: scientific competitiveness; cluster-microservice architecture; digital transformation; science policy; anti-patterns; polymorphism; encapsulation; recursion; reflection; platform feudalism

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