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 APMA0110 What's the Big Deal about Data Science? The seminar, taught by Dr. Katharine M. Kinnaird, serves as a practical introduction to the interdisciplinary field of data science and exposes students to ...View
This collection highlights student research from Brown's School of Public Health courses in Biostatistics and Applied Data Analysis. Databases used include:
This collection houses student visualizations created in Dr. Amy Greenwald's CS100 course at Brown University. CS100 introduces students to a variety of statistical and computational techniques that data scientists use to tell stories. Students applied statistical, machine learning algorithms ...View
Each year during the GIS Open House Poster Session at Brown University students demonstrate the wide variety of social, political, cultural, historical, and scientific questions that can be addressed using powerful digital mapping and spatial analysis technologies. This collection of ...View
The Spatial Structures in the Social Sciences (S4) GIS Institute is focused on visualization, management, and analysis of geographic data. The GIS institute allows participants to refine and/or develop spatial/geographic research questions with guidance and critical feedback from ...View