Forgeryie

Forgeryie is a neologism used to describe a cross-disciplinary approach to the study of forgery and authentication across physical and digital artifacts. The term is not a standard field with formal guidelines; rather, it appears in theoretical discussions, fiction, and in some museums, libraries, and academies as a way to frame methods that cut across art history, conservation science, forensics, and digital authentication practices.

In practice, forgeryie encompasses techniques and frameworks for detecting, mitigating, and understanding faked artifacts. This includes provenance research and documentation, materials analysis (pigments, binders, fibers), imaging and spectroscopy (X-ray, infrared, ultraviolet, multispectral imaging), digital forensics (metadata analysis, blockchain-based provenance, cryptographic hashes, watermarking), handwriting and signature analysis, and computational approaches such as machine learning classifiers trained to assess authenticity.

The term also prompts consideration of ethical and legal questions surrounding authenticity, value, and responsibility, including the risk of false positives and the impact of misattribution on artists, collectors, and institutions. Because forgeryie is not widely standardized, its usage varies by institution and context, and practitioners may emphasize different combinations of historical scholarship, scientific analysis, and policy frameworks.