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Department of Archaeology

 
Read more at: ArchBiMod – Agent-Based Modelling to assess the quality and bias of the archaeological record

ArchBiMod – Agent-Based Modelling to assess the quality and bias of the archaeological record

Archaeological data is often biased and incomplete. This is a well-known issue for most archaeologists. Although studies of specific sites and small regions can have this into account, the effect of this problem increases exponentially as archaeologists expand their chronological and geographic frame, and try to answer questions related to general dynamics and broad human processes.


Read more at: Chromatin 3D Structure of Archaic Human Populations and Its Impact on Modern Human Genomes

Chromatin 3D Structure of Archaic Human Populations and Its Impact on Modern Human Genomes

Most people in Eurasia today carry fragments of DNA inherited from ancient hominins such as Neanderthals and Denisovans. This genetic legacy has influenced traits such as immunity, skin pigmentation, and susceptibility to certain diseases, but the ways in which archaic DNA continues to shape human biology are still not fully understood.


Read more at: The Cambridge Heritage Science Hub Initiative (CHERISH)

The Cambridge Heritage Science Hub Initiative (CHERISH)

Cambridge is home to world-leading researchers across archaeological science, technical art history and heritage science, based at Department of Archaeology, the Fitzwilliam Museum, and the Hamilton Kerr Institute, among others. There are multiple synergies across these institutions in terms of research methodologies, goals and ambitions in the field of technical and scientific investigation of works of art and archaeological objects.


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.