Please use this identifier to cite or link to this item: https://er.knutd.edu.ua/handle/123456789/35269
Title: Adapting big data technologies for the governance of philological higher education and science: navigating uncertainty, turbulence, and systemic risks
Authors: Krasniuk, Svitlana
Keywords: digital education
Big Data
philological education
philological science
education management
digitalization
predictive analytics
artificial intelligence
machine learning
NLP
uncertainty
turbulence
systemic risks
Issue Date: 2026
Publisher: Lulu Press, Inc.
Citation: Krasniuk S. Adapting big data technologies for the governance of philological higher education and science: navigating uncertainty, turbulence, and systemic risks / S. Krasniuk // Trends, Issues, and Challenges in Modern Science : proceedings of the 3rd International Scientific Conference (August, 20, 2026). - Cambridge, United Kingdom : Lulu Press, Inc., 2026. – рр. 64-68. – DOI: 10.64076/iedc260820
Abstract: The article explores the specifics and directions of adapting Big Data technologies in the management of philological education and science in conditions of uncertainty, turbulence and systemic risks. The features of philological data, the possibilities of their application for educational and scientific management, key risks and prospects for integrating Big Data with artificial intelligence, machine learning and NLP are identified.
URI: https://er.knutd.edu.ua/handle/123456789/35269
Faculty: Факультет культури і креативних індустрій
Department: Кафедра філології та перекладу (ФП)
Appears in Collections:Матеріали наукових конференцій та семінарів
Кафедра філології та перекладу (ФП)



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