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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: MOBILE: Movement networks and genetic evolution among tropical hunter-gatherers of island Southeast Asia

MOBILE: Movement networks and genetic evolution among tropical hunter-gatherers of island Southeast Asia

As the world's remaining hunting and gathering societies interact more actively with their settled agricultural neighbours, they face major changes in their diet, mobility and community networks. The 5-year MOBILE project is studying the impact of these changes on the health and biological diversity of traditionally hunter-gatherer communities in Indonesia, in order to better understand human experience and evolution in tropical forest environments.