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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: Rising from the Depths AHRC-GCRF Network

Rising from the Depths AHRC-GCRF Network

The Rising from the Depths Network aims to identify ways in which the marine and maritime cultural heritage of Kenya, Tanzania, Mozambique and Madagascar can be used to benefit coastal communities in these countries. Many of these communities are among the poorest in the region and are especially vulnerable to the impacts of geopolitical turmoil and environmental change.