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.

• 3:00 PM
  Integrating Geospatial Analysis and Deep Learning for Modeling Depression Prevalence Using Graph Convolutional Neural Networks
  Fahime Karami, Queen's University

• 3:15 PM
  Corporate Editing in OpenStreetMap: Assessing the Impacts on Volunteer Mapping Activities in Ottawa, Canada
  Alex Hoferek, Carleton University

• 3:30 PM
  At the Confluence of Spaces: Mapping and GIS for Geographies That Have Moved Beyond an Absolute Space
  Luke Bergmann, University of British Columbia