Understanding stories stories maps through stories maps stories .
Building AI systems that capture what traditional maps miss: memory, place, and human experience.
Interdisciplinary
Research & Design.
Combining cutting-edge machine learning with human-centred design to reimagine geographic information science.
Introducing GEON: A Semantic Format for LLM-Native Spatial Intelligence
GEON (Geospatial Experience-Oriented Notation) is a preprint introducing a new text-based format for encoding places with semantic richness: identity, geometry, purpose, experiential qualities, spatial relationships, and temporal patterns. Evaluated against GeoJSON, GEON achieves 20% fewer tokens while encoding 31% more semantic facts per token.
Geo-Narratives
Capturing stories, memories, and emotions attached to places.
Spatial AI
Machine learning for vague and fuzzy geographic boundaries.
Interactive Systems
Tangible interfaces for community engagement.
HalesAir
A Royal Society-funded STEM partnership project where T Level Data Analytics students at Halesowen College design, build, and deploy air quality sensors around the college estate — turning raw environmental data into community insights.
Leverhulme Centre for Research on Slavery in War & Rights Lab, University of Nottingham.
More about me →Teaching
PlaceCrafter
A web-based geospatial framework for identifying and visualizing 'platial' functional regions by clustering OpenStreetMap Points of Interest.
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