Objective
The case of Ebla in northern Syria is certainly the most favourable one for enhancing our understanding of mechanisms of functioning of the early state. The discovery in 1975 of royal archives consisting of 17.000 cuneiform tablets dating to c. 2300 BC has supplied the scientific community with an invaluable mass of documents dealing with all aspects of state organization. These tablets inform us about the political, diplomatic and military affairs of the Eblaite state, as well as on the economic and social fabric of this early state formation. Further, considerable progresses during the past decade have been made at Ebla in seriating material culture assemblages, in interpreting the rich evidence for ancient visual communication and in exposing the urban structure. We now foresee a unique opportunity to test theories and models about the rise and structure of the early state by expanding the level of analysis to the landscape around Ebla: archaeological surface surveys, remote sensing, geomorphological studies will be evaluated together with the results of archaeological and geophysic investigations on village sites. Our research group has already considerable experience in developing calculation programs that employ along with traditional statistic and quantitative methods within a web GIS environment, including all the cuneiform tablets models of modern dynamic mathematics: the massive amount of data obtained from excavations, surveys, epigraphic studies, archeometric and archeobiological analyses will be combined and analyzed by means of mathematical, economical and computer science concepts and models, in order to build a multi-tier explanatory pattern which can be applied also to other early foci of urbanization in the Near East and elsewhere. We thus hope to gain a much richer historical framework and a sophisticated predictive model of general validity: until now no studies have ever focused on explanations of these phenomena on such an integrated scale
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesearth and related environmental sciencesphysical geographycartographygeographic information systems
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencesmathematics
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Call for proposal
ERC-2009-AdG
See other projects for this call
Funding Scheme
ERC-AG - ERC Advanced GrantHost institution
00185 Roma
Italy