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Revealing the functions of Pleistocene EXpedient OSseous TECHnology with an innovative approach that integrates tribology with AI

Project description

Reading the hidden tools early humans used

Stone artefacts are humankind’s most enduring legacy. For archaeologists, these tools can help them trace the technological rise of early humans. However, prehistoric broken bones can also provide valuable information because they doubled as tools. Their purpose (digging, cutting, scraping) remains largely uncertain because researchers lack reliable ways to read the faint wear marks left behind. The ERC-funded ExOsTech project aims to change that. It will combine tribology (the science of surface wear) with AI in order to analyse microscopic textures on ancient bone fragments. Using confocal microscopy and machine learning models, the project will work to identify how these tools were used. The findings will shed new light on early human behaviour across sites in Europe, Africa and Asia.

Objective

Over the last two decades, growing evidence attests to the use of unmodified or partially modified bone fragments as tools by members of our lineage prior to the emergence of fully shaped, standardized bone tools. These simple tools, some of which date to 2.4 million years ago (Myr), were interpreted as items used for digging, piercing, cutting, or scraping but definitive conclusions are difficult to reach without comprehensive evidence owing to the lack of adequate research strategies for investigating them. Indeed, we critically need quantitative replicable methods to infer their role in past cultural systems, which, in turn, would allow us to document their evolution in relation to other aspects of Pleistocene material culture. ExOsTech aims to tackle this challenging task through the development and application of an innovative approach that integrates tribology with artificial intelligence to study use-wear patterns present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178) acquired by confocal microscopy as well as image recognitions and multi-class neural network algorithms to precisely establish the function of expedient osseous tools. This method will be applied to study assemblages from Europe, Southern Africa, and East Asia dated between 1.8 Ma and 60 thousand years ago (ka). Cross-cultural comparisons of regional trajectories will be performed to establish when expedient osseous tools became fully integrated in past cultural systems and when standardized behaviours guiding their selection and use emerged in our lineage. Ultimately, ExOsTech will offer a new perspective on Pleistocene cultural dynamics that can not otherwise be inferred solely from stone technology.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2024-STG

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Host institution

UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA
Net EU contribution
€ 886 257,00
Address
BARRIO SARRIENA S N
48940 Leioa
Spain
Region
Noreste País Vasco Bizkaia
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 886 257,00

Beneficiaries (3)