THE SCIENCE OF SCIENTIFIC CHANGE: THEORY, METRICS, AND PREDICTION

In an age of overflowing data and AI tools, we still struggle with a basic question: where is science actually going? The Science of Scientific Change answers by combining Kuhn’s ideas with modern bibliometrics, text mining, and predictive modeling. Through detailed methodological chapters and a full case application in project management research, the book offers a template for mapping intellectual landscapes and spotting emerging frontiers. It is an essential guide for anyone who wants to make sense of science at scale.