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The foundation of developed university ecosystems is the concept of productive cooperation in the university–student–regional economy triad, aimed at the resilience of regions in their innovative development by increasing the involvement of young people in work activities. To describe the key mechanism for interaction between youth and business, the concept of productive collaboration is introduced, within which the systemic integration of education, science, and innovation forms human capital capable of bulwark high rates of change in technology. This approach overcomes the limitations of analyzing isolated entities, allowing the synergistic effect of their cooperation to be assessed at the regional level. The aim of the article is to reveal the concept of university ecosystems and analyze the quality of university systems from the perspective of regional resilience. To construct the typology, we leveraged data from four federal sources across 88 federal subjects of Russia, including university performance monitoring for 2021–2023, lists of student startups for 2022–2024, student design bureaus for 2025, and Federal State Statistics Service (Rosstat) statistics for 2023. Using comparative analysis and graphical visualization, the regions were compared along two key axes: the depth of integration with the labor market (practice base) and the intensity of innovation activity (volume of extrabudgetary R&D). The developed typology includes resilient, bulwark and unstable regions. Twenty-one Russian regions have been identified with sustainable ecosystems that are competitive and provide training for specialists who can both apply and create innovations. It has been established that sustainable regions significantly outperform other groups of regions in key indicators of innovative and socioeconomic development. The proposed typology allows government agencies and stakeholders to develop targeted programs: from basic support for the integration of universities and businesses in fragile regions to stimulating breakthrough innovation in resilient regions by optimizing resource allocation.
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МЕЛЬНИК et al. (2026) studied this question.
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