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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: 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.