Melvin Wevers

Melvin Wevers is a computational historian at the University of Amsterdam, applying multimodal machine learning to historical archives. His research spans computer vision analysis of historical visual archives, word embeddings for tracking conceptual change in newspapers, and phylogenetic diversity metrics for diagnosing archival silences. He develops methods that bridge critical archival theory with quantitative analysis to reveal how institutional systems, cataloging practices, and technological constraints systematically shape historical representation and digital accessibility.