Preface

The ongoing development of quantitative methods in the study of cultural heritage has become an increasingly significant avenue for scholarly exploration across disciplines, particularly in the fields of archaeology and art history. One of the most notable advancements in this domain has been the convergence of these traditional humanities disciplines with tools and methodologies derived from the sciences, such as data analysis, statistical modeling, and machine learning. This cross-disciplinary dialogue is at the heart of contemporary research, as it fosters innovative approaches to understanding and interpreting the past, while also addressing the complex nature of historical and archaeological evidence.