As technology use proliferates globally, there exists significant potential to leverage such technology and associated data streams to further understand and improve the lives and livelihoods of people in low-resource settings. This course introduces students to data-intensive approaches to development. Students will learn methods from development economics, machine learning, information science, and computational social science as a means of gaining insight into development challenges and organizational decision-making. Students will gain an introduction to sensors as well as tools and methods for spatial modeling and spatial data analysis.

Repeat Rules

Course is not repeatable for credit.