Creating ground truth datasets and data-oriented models for solving problems in developing countries
My work focusses on creating ground truth labels which probably never existed before, and these datasets have to represent different populations fairly, including populations of different gender groups.
Since it is often very expensive for low-income countries to conduct surveys extensively and frequently, exploring alternative methods using machine learning could help estimate various types of information for a more informed dialogue/analysis.