Cutting-edge intelligent management of academic R&D in the contemporary era of volatility and challenges

Abstract

Higher education and academic research face growing uncertainty and crises that expose the limits of traditional R&D governance. To address these challenges, advanced intelligent management integrates knowledge-based approaches with data-driven strategies, artificial intelligence, and big data analytics. Such hybrid models enhance adaptability, improve forecasting, optimize resources, and strengthen resilience, enabling institutions not only to withstand crises but also to seize opportunities for growth and innovation. Modernizing R&D governance is therefore essential for building sustainable and competitive academic ecosystems in times of instability.