Miss Deborah Priss
I am a geoarchaeologist from Germany with a special interest in human-environment-interactions. I began my undergraduate studies at the Ruhr University Bochum, Germany, where I focused on Prehistory and Ancient History as well as Archaeometry, with emphasis on Geoarchaeology, Geography, Earth Science and Archaeometallurgy. This led to an undergraduate thesis with a geoarchaeological topic, the development of the Great Maeander, Turkey, and what impact its progradation had on the ancient cities on its shores, with a focus on Miletus.
As my enthusiasm for the interdisciplinary research that geoarchaeology offers grew during my undergraduate studies, I decided to do my Master's degree in Geoarchaeology at the University of Heidelberg, Germany. There, I was able to expand my knowledge and skills, especially in Geography and Earth Science. In my Master's thesis, I investigated a dyke previously interpreted as being medieval for the project "Land unter?". The aim was to determine its structure and date using historical sources and scientific methods.
I am particularly interested in the connection between Archaeology and Earth Sciences, especially concerning the interactions between societies and their environments. I think an interdisciplinary approach is essential not only for archaeological or environmental research, but for all fields of scientific research. We need to understand the interplay of all factors to understand the ancient cultures as well as to make the future a better place.
At the moment, I have a PhD position as Early Stage Researcher in the Marie Skłodowska-Curie Innovative Training Network (ITN) "i-Conn network" together with 14 other Early Stage researchers all over Europe. The network aims to develop new approaches in the field of Connectivity Science through an international and interdisciplinary research team. My contribution will be a project about resilience of human interactions in new landscapes with which I intend to investigate changes to landscapes due to human settlement, by using agent-based modelling and network analysis.