Spatial Analytics
Advance spatial statistical and AI methods to better understand spatial processes and enable accurate prediction.
Advancing spatial knowledge and practice
The Spatial Data Science Center (SDSC) is committed to developing solutions to some of society's most pressing problems in areas such as health, transportation, crime, poverty and the environment through the power of spatial data analytics.
Health & Wellbeing
Analyze geographic patterns in health outcomes, risks, and healthcare access for better decision-making and prediction.
Environment
Monitor, model, and predict environmental changes and natural hazards, and assess their impacts on ecosystems and communities.
Voting
Mesaure spatial patterns of voter behavior, electoral processes, and participation disparities.
Urban
Explore how urban systems, mobility and spatial dynamics influence equity and resilience in cities.
Transportation
Understand travel behavior, enhance mobility systems, and advance equitable and sustainable transportation solutions.
Crime
Examine crime dynamics, neighborhood contexts, and social inequities shaping public safety.