The transformation of AtticPOT into DATAPOT, that is, into a dynamic platform of advanced technologies, can contribute to the deepening of archaeological knowledge and broaden the utilization and accessibility of the recorded body of data. The project aims to serve as a model for the digital humanities, combining archaeological information with innovative technological approaches, and to function as a cutting-edge initiative at the intersection of archaeology and digital technology.
The DATAPOT project focuses on building upon the results of the earlier AtticPOT project. Its goal is the further use and expansion of this pioneering and extensive dataset, which was systematically compiled for the first time for the published inscribed Attic vases from the region of Thrace.
DATAPOT aims to ensure the sustainability and reusability of the data, with particular emphasis on geospatial analysis (GIS) and the application of artificial intelligence (AI), thereby enhancing archaeological research through modern, state-of-the-art technologies.
In particular, DATAPOT harnesses the potential of artificial intelligence, digital twins—whose application in archaeology has so far been limited—and geographic information systems (GIS). Its ultimate goal is for the project’s results to serve as a pilot model for similar research initiatives in the field of archaeology.
Through collaboration with the Archaeological GIS Laboratory of the RC “Athena” (AeGIS ATHENA), the project will highlight the geographical dimension of the data, providing answers to contemporary research questions such as the distribution and density of the recorded pottery in the geographical space of ancient Thrace, the identification of trade hubs, the recognition and study of trade networks and routes, and more.
Furthermore, DATAPOT explores the use of AI technologies for the effective management of data, the discovery of new relationships and patterns for the interpretation and understanding of pottery and archaeological knowledge, as well as for enhancing the search of relevant publications and bibliography.
Funding:
ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms with MIS code 5154714, which is funded by the Recovery and Resilience Facility (National Projects), which (RRF) is funded by the European Union – NextGeneration EU and concerns the full development of a research program on Artificial Intelligence, Data Science and Algorithms.