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Department of Archaeology

 
Read more at: iMapNut: Machine Learning to Map and Address Causal Factors of Child Malnutrition in Low- and- Middle- Income Countries

iMapNut: Machine Learning to Map and Address Causal Factors of Child Malnutrition in Low- and- Middle- Income Countries

This project aims to improve the poor integration of localized data linking various WASH dimensions (infrastructure, access, practices) and children nutritional status at the population level as well as the poor involvement of policy makers concerned with WASH in local and country level nutritional programs. Our network aims include:
1.

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.