About the seminar
Rock art is a widespread representation of the lifeways of people and communities throughout prehistory. In Sweden alone, there are over 21,000 registered rock art sites with a variety of motifs, from detailed depictions of humans and boats to simpler geometric figures and cupmarks.
Data and dissemination play an important role in supporting both the management and protection of this heritage and understanding the physical and social processes surrounding its creation. Ashely Green will explore how AI and expert domain knowledge can be used to study style variation, understand panel biographies, and engage wider audiences with rock art.
Utilising 3D and legacy data from the Swedish Rock Art Research Archives and Länsstyrelsen Västra Götaland, the presentation will focus on Bronze Age (1700 – 500 BCE) rock carvings in Sweden.
Ashely Green will illustrate several deep learning approaches to rock art interpretation and the archaeological complexities that impact AI solutions. These case studies will draw on ongoing work in the Tracing Carvers project and the Swedish Rock Art Research Archives.
About Ashely Green
Ashely Green is a Research Engineer in the Department of Historical Studies at the University of Gothenburg. She obtained her PhD in Archaeology from Bournemouth University (UK) in 2020, with a pilot study on AI for archaeogeophysics. Since then, she has worked on tool and method development for projects based at the University of Gothenburg. Her research is situated within digital methods for data visualisation, analysis, and dissemination in archaeology. Her most recent work has focused on visualising 3D data in combination with GIS and AI analyses for rock art.
