Research
Research across the full data journey.
We investigate collection methods and quality, secure storage and processing, threats to data and consuming systems, fairness, interpretability, transparency and disposal. The aim is evidence that is reliable for its intended use.
Research Areas
The Full Data Lifecycle
Consider the journey of a single health record. It may be captured on paper in a rural clinic, digitised by a field worker, transmitted over a mobile network, stored in a government database, and eventually used to inform treatment decisions.
The journey continues through access, analysis, sharing, retention and eventual disposal. At each stage we investigate threats, integrity failures and quality limitations, and how they affect the reliability of the end use. Our consultancy and services apply this research in operational settings.
Our Research Areas
Data Collection, Translation & Integrity
From the field to the database, accurately and securely.
Cybersecurity & Threat Intelligence
Protecting data and the systems around it, from capture to disposal.
Privacy Engineering & Data Protection
Engineering privacy into data collection, analytics, sharing and model-enabled workflows rather than relying on policy alone.
AI, Machine Learning & Fairness
Models that work for everyone they affect.
Quantum, Blockchain & Emerging Technology
Evidence before adoption.
Interpretability & Explainability
Understanding how systems reach their conclusions.
Data Governance & Policy
Frameworks that govern data responsibly.
Data Analytics & Decision Intelligence
Turn reliable data into decisions you can explain.
Training, Security Awareness & Capacity Building
Building the teams that sustain the work.
Explore our research themes, or discuss how we can apply this expertise to a specific challenge in your organisation.