SPACESCANS

Spatial & Contextual Exposome Semantic Data Integration System

Ontology-guided platform linking spatial & contextual exposome data with individual-level patient data to accelerate real-world data research and real-world evidence generation.

SPACESCANS logo
A panorama of a big city. It transitions from sunset to nighttime from left to right. There are lots of skyscrapers across a waterfront.

Why It Matters

Research on how place-based, social, and built environments shape health is hamstrung by fragmented data and ad-hoc linkage methods. SPACESCANS closes these gaps by delivering a standards-driven, user-friendly data-integration pipeline.

A panorama of a big city at night with lots of skyscrapers across a waterfront

Specific Aims

1

SPACEO + SPACE-KG

Build an ontology and semantically annotated knowledge graph covering high-quality SCE data sources.

2

SPACESCANS Web App

Co-design and evaluate a cloud-ready linkage platform through two real-world use-cases (AD/ADRD, diabetes).

3

Toolbox & Manual of Operations

Release open-source code, docs, and training materials for broad adoption.

Quick Start

Stay Updated

Get research updates from the SPACESCANS team — typically once a month, no marketing.