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Department of Archaeology

 
Read more at: Archaeological Science and Technology in Africa Initiative (ASTA)

Archaeological Science and Technology in Africa Initiative (ASTA)

The archaeology of Sub-Saharan Africa is rapidly gaining momentum, thanks to renewed efforts to decolonise and empower indigenous narratives of agency and creativity that have been bolstered further by the increasing application of scientific methods. However, important challenges remain. One is the scarcity of training and archaeological science capacity in sub-Saharan Africa, which is necessary to make these efforts sustainable.


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: PaleoErgo: Exploring Hand-Stone Tool Interactions in Early Hominins

PaleoErgo: Exploring Hand-Stone Tool Interactions in Early Hominins

How did the biomechanics and ergonomics of the human hand influence the use and production of Palaeolithic stone tools? Traditionally, stone tools have been analyzed for their morphological properties and technological characteristics to infer the cognitive and social evolution of early hominins and modern humans. However, the role of musculoskeletal aspects in the effective use of these tools has been largely overlooked, resulting in an incomplete understanding of Palaeolithic technologies.


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.