Research

Exploring Knowledge Across Disciplines and Places

IdeaLab Research supports interdisciplinary research that connects people, data, technology, knowledge, and real-world challenges.

Our research interests bring together spatial science, data analytics, environmental systems, health, climate, communities, and emerging digital technologies.

Areas of Research

Spatial Science and GIS

Geographic Information Systems, spatial analysis, cartography, geospatial data management, and location-based research.

GeoAI and Spatial Data Science

Artificial intelligence, machine learning, spatial data science, geospatial analytics, and computational approaches to understanding complex geographic systems.

Remote Sensing and Earth Observation

Satellite imagery, environmental monitoring, land-use and land-cover analysis, Earth observation, and geospatial applications for understanding environmental change.

Environmental Systems

Research focused on environmental change, landscapes, ecosystems, natural resources, and the interaction between human activities and the environment.

Health Geography and Spatial Health

Research examining the geographic dimensions of health, healthcare access, health inequalities, population health, and the relationship between people, place, and health.

Climate and Disaster Risk

Research related to climate change, disaster risk reduction, vulnerability, resilience, adaptation, and the use of geospatial technologies to support decision-making.

Indigenous and Community Knowledge

Research that recognizes the importance of Indigenous knowledge, community experience, local knowledge, and collaborative approaches to understanding people, places, and environments.

Research Methods and Innovation

Development and application of quantitative, qualitative, spatial, computational, and interdisciplinary research methods.

Research With Purpose

IdeaLab Research supports research that is rigorous, collaborative, accessible, and connected to real-world challenges.

We welcome opportunities to work across disciplines, institutions, communities, and geographic boundaries.