Leveraging established academic strength, Brown University's Data Science Initiative is a hub for research and education in foundational methodologies of data science. The Initiative maintains an outward focus on application areas and critical engagement with questions of the impact of the data revolution on society, on culture, and on questions of social justice. This collection houses student and faculty scholarship in the field of data science, including research products from the Initiative’s four core departments: Applied Mathematics, Biostatistics, Computer Science, and Mathematics, as well as data science-related scholarship from its affiliated units.
This collection highlights student research conducted in CS1951a Introduction to Data Science, taught by Dr. Tim Kraska. The course provides students with an overview of the wide area of data science, with a particular focus on the tools required …