DarkSeeds is a Marie Skłodowska-Curie Individual Fellowship funded under the H2020 programme of the European Union (H2020-MSCA-IF-2020-101024917) at the Landscape Archaeology Research Group (GIAP) of the Catalan Institute of Classical Archaeology (ICAC).
PI: Dr. Charlotte Diffey. Supervised by: Alexandra Livarda (Ramón y Cajal researcher at ICAC).
Dates: 01/09/2022 – 31/08/2024
DarkSeeds aims to re-examine the role of agriculture to provide an evidence-based understanding and a new explanatory model of the economic changes during the Late Bronze Age (LBA) – EIA, through a novel combination of traditional and newly developed methods and emerging technologies.
This combination of traditional with advanced and newly developed scientific techniques has the potential to step-change the investigation of complex issues of agricultural change and provide new, in-depth understandings of the very processes that underpinned the LBA-EIA societies.
The collapse of Bronze Age societies in the Aegean led to a period known as the ‘Greek Dark Ages’ (Early IronAge, EIA) that involved major socio-economic disruptions and transformations. The causes of these changes and their impact on the agricultural economy of these societies have been matters of a long-lasting debate.
The nature of agricultural management and production in this period is largely speculative due to limited bioarchaeological data and the inherent limitations involved in the analysis of available evidence. Owing to the lack of knowledge regarding the role of agriculture in these processes of socio-economic turmoil, a new approach to the debate is needed.
it will employ archaeobotanical material from six sites across the Aegean to capture spatial variability and will:
(1) use standard archaeobotanical approaches, including synthesis of existing data; and
(2) apply and refine a new methodology, pioneered by the supervisory team, that combines 3D photogrammetry, Machine Learning-aided Geometric Morphometrics (GMM) and targeted stable isotope analysis, and uses directly the 3D shape of cereal seeds to infer agricultural practices.