An open-source toolkit that streamlines climate and health data harmonisation, leveraging AI-assisted workflows for accelerated research insights.
We're building HarmonAIze to democratise climate-health research by providing researchers worldwide with powerful, accessible tools for data harmonisation. Our goal is to accelerate scientific discovery and enable evidence-based insights that can inform policy and improve global health outcomes.
Three specialised modules work together to provide comprehensive data harmonisation capabilities
Specialized tools for harmonising health variables across diverse datasets. Standardizes medical terminology, units, and coding systems while maintaining data integrity for cross-study comparisons.
Secure geolocation services for health facilities and addresses. Enables spatial analysis while protecting sensitive location data through privacy-preserving federated approaches to geocoding.
Secure linkage and integration of climate data with health records. Provides access to curated environmental datasets while ensuring privacy-preserving connections between climate and health variables.
Advanced capabilities that power research acceleration and data integration
Seamlessly map, clean, and unify heterogeneous datasets from multiple sources with intelligent AI-assisted workflows that preserve data integrity.
Built with federated approaches that maintain data privacy and security, ensuring sensitive health information remains protected throughout the process.
Leverage advanced AI algorithms to automate complex data harmonisation tasks, reducing manual effort and improving accuracy.
Empowering researchers worldwide with cutting-edge data harmonisation capabilities
Reduced reliance on manual, resource-intensive harmonisation processes, improving reproducibility, transparency, and scalability of research across diseases and contexts
Overcoming the bottleneck of linking health and climate data, enabling large-scale spatiotemporal analyses of climate exposures and health outcomes.
Generating evidence on climate change’s health impacts (e.g., heat exposure, maternal outcomes, infectious diseases) to inform public health policy, global disease burden estimates, and adaptation strategies.
The HarmonAIze project is a transdisciplinary collaboration within the DS-I Africa consortium, including climate, health, geospatial, data, and machine-learning (ML) expertise
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