Machine learning, coding, software engineering – all concepts related to Spark!, but the real moving parts that keep Spark! going can’t be coded or prototyped. Students and faculty are at the heart of the process, and you don’t know enough about Spark! if you don’t know the name Dharmesh Tarapore – BU alum and Spark!’s […]
This project includes using machine learning to identifiy mining activities outside contractual boundaries using LANDSAT data. Project Lead: Natural Resource Governance Institute (NRGI), helps people to realize the benefits of their countries’ endowments of oil, gas and minerals. We do this through technical advice, advocacy, applied research, policy analysis, and capacity development. We work with innovative agents […]
This project includes using deep learning to improve asssesments of poverty for development organizations, such as the World Bank. Project Lead: Jonathan Hersh, Assistant Professor Economics and Management Science, Chapman University Detailed Project Description: In development, a household’s poverty status is most commonly determined through the use of a Proxy Means Tests (PMT). This is, at its heart, […]