Data Science for Global Development

Catalog description

This seminar will showcase a variety of methods common to global development research across disciplines - from machine learning to statistics to economics to public health - and will instruct on both (a) reading out-of-discipline papers and (b) writing for a multidisciplinary audience. Weekly lectures will each focus on a different sustainable development goal through an academic lens, and will include guided paper discussions, student presentations, and featured guest lecturers spanning academia, non-profits, and NGOs.