No photo of Duncan Smith

Duncan Smith


If you made any changes in Pure these will be visible here soon.

Personal profile


I am currently involved in developing software for statistical disclosure control (SDC). Disclosure may occur when sensitive information about an individual can be reliably inferred from a release of data (possibly by a private organisation, or by a statistical agency). This risk might relate to a single release of data or a set of related data releasesd. SDC concerns the perturbation of data to protect individuals' privacy, whilst attempting to retain the statistical utility of the data. Many of the associated problems are computationally complex and much of my work involves the development and implementation of efficient algorithms. Most of my software is written in Python.

Research interests

Specific research interests:

  • Highly Structured Stochastic Systems
  • Bayesian methods
  • Inference algorithms and model determination for Bayesian Belief Networks 
  • Statistical disclosure control

Current research projects:

  • Measurement of disclosure risk for single and linked tables of census data
  • Table suppression methods and information loss
  • Statistical analysis of perturbed data
  • Software development for statistical disclosure control
  • Clinical e-Science Framework

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 16 - Peace, Justice and Strong Institutions

Research Beacons, Institutes and Platforms

  • Digital Futures


Dive into the research topics where Duncan Smith is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles