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Department of Archaeology

 
Read more at: EHSCAN-Exploring Early Holocene Saharan Cultural Adaptation and Social Networks through socio-ecological inferential modelling

EHSCAN-Exploring Early Holocene Saharan Cultural Adaptation and Social Networks through socio-ecological inferential modelling

EHSCAN is a Horizon-MSCA-2022-PF scheme Fellowship Funded by UKRI and hosted by the McDonald Institute for Archaeological Research, University of Cambridge. 


Read more at: FENSCAPES: Archaeology, Natural Heritage and Environmental Change

FENSCAPES: Archaeology, Natural Heritage and Environmental Change

This archaeology-led initiative focuses on the East Anglian Fens, an extraordinary landscape where exceptional preservation of organic artefacts and environmental evidence gives unparalleled insights into the last 5,000 years of communities, resources and habitats.


Read more at: Mapping Africa’s Endangered Archaeological Sites and Monuments

Mapping Africa’s Endangered Archaeological Sites and Monuments

The Mapping Africa’s Endangered Archaeological Sites and Monuments (MAEASaM) project, funded by Arcadia charitable foundation, is documenting and compiling a trans-national inventory of Africa’s rich archaeological heritage, including many previously unidentified sites and monuments. Particular emphasis is being given to mapping and recording sites under threat, whether from urban growth, conflict, sea-level change or infrastructure development, among other adverse impacts.


Read more at: Neanderthals as engineers? Investigating the link between tool design, functionality and use

Neanderthals as engineers? Investigating the link between tool design, functionality and use

Stone tool artefacts represent the only continuous material record from early hominins across a period of three million years. Lithics provide information about early human technological adaptations and innovations, and in turn, understanding these technologies allows insights into early human behaviour. This assessment is based on the fact that lithic artefacts reflect (un-)conscious decision-making. Tool design, for instance, is characterised by the selection of the raw material and choices about overall tool morphology, edge retouch, and other factors.


Read more at: Transitions in early stone tool technologies: a computer vision and machine learning approach

Transitions in early stone tool technologies: a computer vision and machine learning approach

The transition from Oldowan to Acheulean technologies are hypothesised to be concomitant with advances in cognition and behaviour. However, the nature of these shifts, and their cultural and evolutionary implications are poorly defined and understood. While extensive literature exists on these technologies, significant differences in research methods and traditions make comparative and comprehensive analyses problematic.