This session showcases emerging applications of GIS and data science in analyzing diverse human and environmental geographies. Presenters explore the intersection of spatial methods, artificial intelligence, and geospatial data to investigate topics ranging from runner sentiment and mental health modeling to educational tools and collaborative mapping. Drawing from mixed-methods research, machine learning, and participatory platforms, these presentations illustrate how innovative geospatial techniques can enhance urban mobility, health equity, accessibility, and public engagement. Together, they highlight the evolving role of GIScience in addressing complex, real-world challenges through inclusive and reflexive spatial research.

• 9:00 AM
  Studying AI – Sociomateriality for a Geographic Lens to Technology
  Suthee Sangiambut, McGill University

• 9:15 AM
  The Impact of Built Environment Changes on Active Transportation: A Longitudinal Analysis of Residential and Job Relocation in Montreal
  Pegah Salsabilian, McGill University

• 9:30 AM
  [Withdrawn]

• 9:45 AM
  Feeling the Run: A Mixed-Methods Analysis Mapping Runner Sentiment and its Correlates in Metro Vancouver
  Stella Harden, Simon Fraser University