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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: No dollar too dark: free trade, piracy, privateering and illegal slave trading in the northeast Caribbean, early 19th century

No dollar too dark: free trade, piracy, privateering and illegal slave trading in the northeast Caribbean, early 19th century

This project integrates maritime archaeology, history, geophysical survey and anthropology to investigate illicit trade between the Caribbean islands St. Eustatius, Saba, St. Thomas, St. Bartholomew and St. Maarten from 1816 to c.1840 with the aim of understanding:

-The entanglements between international, regional and local factors that drove these islands to engage in illicit trade.

-How these islands functioned together as a network for illicit trade, smuggling and laundering, the processes involved, and how long it occurred.