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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: 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: Pastoralist Mobility, Diet, and Resilience in East Africa: Developing Deep Time Historical Ecologies of Sustainability

Pastoralist Mobility, Diet, and Resilience in East Africa: Developing Deep Time Historical Ecologies of Sustainability

This project is a response to calls to build long-term sustainability and resilience into pastoral social-ecological systems in sub-Saharan Africa through provision of deep histories of human-environment interactions. It focuses on collecting and analysing archaeological and related data on the responses of pastoralist communities inhabiting the Laikipia and Leroghi plateaus, northern Kenya, to cycles of extreme drought and enhanced rainfall over the last millennium.


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.