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Research

Projects &
Systems.

Geospatial AI, humanitarian data infrastructure, urban planning intelligence, and the computational geography of human experience — built across academic and applied contexts.

These projects sit at difficult intersections — between data and experience, historical evidence and living place, algorithmic precision and the human desire to understand somewhere.

Across four research themes, the underlying commitment is the same: that place is computable, and that getting the computation right is what makes the answers matter.

Theme 01
2 projects

GeoAI & Representation Learning

“What would it take to teach a machine to read a neighbourhood — its character, its texture, its urban twin on the other side of the world?”

Machine learning models of urban form and place — spatial feature engineering, neural embeddings, similarity algorithms, and LLM-mediated preference elicitation applied to city-scale geographies.

Theme 02
2 projects

Conflict & Humanitarian Data

“When evidence for slavery and war is scattered, contested, or deliberately erased — how do we build systems that put it precisely in place?”

Spatial data infrastructure for the historical and contemporary study of slavery, conflict, and displacement — geocoding pipelines, data integration, probabilistic place reconstruction, and evidence-based spatial analysis.

Theme 03
4 projects

Urban Intelligence & Mobility

“How can spatial data make cities more transparent, more responsive, and more liveable for the people who use them?”

Geospatial platforms for urban planning, active travel, and environmental monitoring — combining IoT sensors, interactive visualisation, and multi-source data for local government and community use.

Theme 04
3 projects

Places & Lived Experiences

“What if a routing system understood not just where you want to go, but how you want to feel when you get there?”

Capturing the subjective, experiential dimensions of place — from grounded-theory frameworks for leisure walking to spatial video narratives and platial systems working group initiatives.