Scientific research is undergoing a paradigm shift driven by AI and data-intensive inquiry , moving beyond traditional theoretical and experimental models to a new era of "agentic science" where AI systems become autonomous research partners. This transformation is characterized by AI's ability to analyze massive datasets , generate hypotheses, design experiments, and accelerate discovery at an unprecedented scale, supplementing human creativity rather than replacing it. Disruptive technologies like AI are fundamentally changing scientific processes , leading to more sophisticated, collaborative, and efficient research across all fields. The Key aspects of the transformation are in: Data-intensive inquiry : The integration of AI with the explosion of data from sensors, simulations, and internet platforms has created a "fourth paradigm" of "data-intensive science". Scientific inquiry is becoming more data-driven, with AI capable of extracting patterns...
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