Science, Technologies, Innovations №3(39) 2026, 68-79 p

https://doi.org/10.35668/2520-6524-2026-3-09

Lutsenko A. O. — M. Sc., PhD Student; V. N. Karazin Kharkiv National University, Karazin Business School; 1, Myronosytska Str., Kharkiv, Ukraine, 61000; Max Planck Institute for Innovation and Competition; Munich, Germany; Anastasiia.Lutsenko@ip.mpg.de; ORCID: 0000-0003-1409-0820

ADAPTIVE AGENCY OF UKRAINE’S RESEARCH COMMUNITY UNDER WAR: AN NLP ANALYSIS OF CRISIS DETERMINANTS AND ADAPTATION MECHANISMS

Abstract. This article presents a computational analysis of the discourse of Ukraine’s state scientific system under full-scale war, aimed at identifying crisis determinants, adaptation mechanisms and the dynamics of the research community’s adaptive agency. The empirical basis is a corpus of transcripts of 47 in-depth semi-structured interviews with key stakeholders of the scientific system (17,080 sentences). A two-dimensional coding design is proposed: every sentence receives a crisis-cycle phase label (anticipation, challenge, adaptation, transformation, context) and an adaptive-agency score on a scale from –1 to +1. Coding was performed by a large language model in deterministic mode; its reliability was tested through three validation loops, including an independent blind expert sample, and interpretation was restricted to aggregate indicators. Topic modelling within phases identified seven crisis determinants, arranged in a “prevalence × depth of impact” matrix, and fourteen adaptation mechanisms with uniformly high agency. The phase structure of agency takes the form of a V-shaped arc with an ascending finale (+0,36 → –0,44 → +0,52 → +0,79), providing corpus-level evidence of the system’s transition to a qualitatively new state (“bouncing forward”) rather than mere recovery. Management implications for science policy are substantiated: prioritising external support in the zones where institutions have minimal room for their own action, institutionalising the grant-based and international reorientation as the transformational core, and using the phase structure of agency as a monitoring indicator of scientific-system
resilience.

Keywords: adaptive agency, organizational resilience, state scientific system, crisis cycle, natural language processing, large language models, science policy.

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Received 09/03/2026
Accepted for publication 09/11/2026
Published 09/30/2026

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