SITUATION MODELING CENTERS IN THE SYSTEM OF THE MODERN POST-WAR SOCIAL REPRODUCTION
DOI:
https://doi.org/10.15407/economyukr.2026.05.003Keywords:
situation modeling centers; post-war expanded socio-economic reproduction; scenario modeling; Big Data; Smart Data; data-driven governance; system dynamics; institutional feasibility; post-war recovery; strategic coordination.Abstract
The article substantiates the role of situation modeling centers as an institutional mechanism for implementing a modern model of post-war expanded socio-economic reproduction and development.
The study demonstrates that the key limitation to implementing a fund-intensive and labor-saving development trajectory lies not in the lack of strategic concepts, but in the structural gap between the reproductive logic of the economy and the mechanisms of public economic policymaking. Bridging this gap requires the institutionalization of scenario thinking through the establishment of a permanently operating system of situation modeling centers integrated into the decision-making process.
Extended social reproduction is interpreted as a process of continuous quantitative adjustment of economic dynamics based on the integration of data flows, system dynamics, and probabilistic modeling. The article conceptualizes Big Data not merely as a technological phenomenon, but as a specific form of information organization within public administration systems.
Special attention is devoted to the transformation of Big Data into Smart Data as a prerequisite for ex ante policy evaluation, risk management, and anticipatory governance. In this context, situation modeling centers are interpreted as analytical interfaces linking technological modernization, fiscal resilience, and long-term productivity.
The article further argues that the institutional integration of situation modeling centers into public administration and international cooperation frameworks creates the analytical foundations for evidence-based and scenario-driven governance in the post-war period. Such an approach strengthens the institutional feasibility of strategic reconstruction policies under conditions of systemic uncertainty and global turbulence.
Finally, the study emphasizes that the transition toward data-driven governance requires not only technological modernization, but also the development of institutional mechanisms capable of integrating multidisciplinary knowledge, predictive analytics, and strategic coordination into the architecture of post-war recovery.
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