Lindy Zeng, 2018, Computer Science

This summer, I interned on Princeton’s Mapping Africa team, which seeks to use remote sensing technology, the Internet, computer vision, and machine learning to gain a better understanding of the distribution and extent of Africa’s farmland. My specific project was to connect Mapping Africa’s existing human intelligence and machine learning processes by creating a web mapping application. During the project, I was exposed to many new programming languages and free and open-source software (FOSS) for Geographic Information Systems (GIS). I also gained a better understanding of Africa’s food insecurity issues and how Mapping Africa’s goal of creating a more accurate map of farmland in Africa will contribute to the world’s understanding of the issues regarding the ecological and socioeconomic sustainability of agriculture in Africa. Most importantly, I witnessed the impact that computers, technology, and human beings can make when combined, and I am inspired to use it to help solve more societal problems.