Yates, Donna and Shawn Graham (2023) Reputation laundering and museum collections: patterns, priorities, provenance, and hidden crime. International Journal of Heritage Studies, DOI: 10.1080/13527258.2023.2284740
Diāna Bērziņa was part on an expert panel focusing on monitoring compliance with art market regulations at a conference “la vente illégale sur le marché de l’art” organised by Anthemis […]
On 2 November Dr Donna Yates gave a presentation titled “Crime in Collections: Patterns, Priorities, and Hidden Knowledge” at a conference “The Market for Latin American Antiquities” organised by co-organized […]
Dr Donna Yates will give a talk at “The Cluster of Excellence Understanding Written Artefacts” conference taking place from 27 to 29 September 2023 at the University of Hamburg. Yates […]
Dr Donna Yates will give a keynote at the German Anthropological Association Meeting in Munich for the workshop “Contested Knowledge, Contested Objects: Positioning of Mesoamerican Studies Regarding the History of […]
Diāna Bērziņa will present her current research on affective atmosphere in art fairs at ‘White-collar and organisational crime: New ideas, directions, and perspectives’ workshop, taking place in Manchester on 6-7 […]
Dr Donna Yates will be one of the panellists at the webinar on money laundering and terrorist financing in the art and antiquities market organised by the FATF. The webinar […]
Yates, Donna and Neil Brodie (2023) The illicit trade in antiquities is not the world’s third-largest illicit trade: a critical evaluation of a factoid. Antiquity, First View: 1–13.
Graham, Shawn, Donna Yates and Donna Yates (2023) Investigating antiquities trafficking with generative pre-trained transformer (GPT)-3 enabled knowledge graphs: A case study [version 1; peer review: awaiting peer review].Open Res […]
Dr Donna Yates will give a keynote address titled “T. Rex is Fierce, T. Rex is Charismatic, T. Rex is Litigious: Desire and Disruptive Objects in Affective Lawscapes” at Law […]
Professor Shawn Graham and his team worked alongside Dr Donna Yates to design a machine-learning model that helps researchers to uncover previously unknown possible connections by using known, established facts […]