Principles of Provenance group

Provenance refers to information about the source, origin, derivation or authorship of data. It has deep connections to topics such as program slicing, causality, explanation, and information flow security. The Principles of Provenance group performs fundamental research on provenance as well as principled system development.


  • Sándor Bartha (Data Science CDT student)
  • Arthur Chan (PhD student)
  • Dr. James Cheney (fearless leader)
  • Frank Emrich (PhD student)
  • Dr. Simon Fowler (Research Software Engineer)
  • Rudi Horn (Pervasive Parallelism CDT student)
  • Dr. Wilmer Ricciotti (Postdoc)
  • Dr. Jan Stolarek (Postdoc)

Past members

Positions available


Current projects

  • Programming foundations for trusted data science, UK National Physical Laboratory collaboration, (2019--2021)
  • Probabilistic property-based testing, joint with Vaishak Belle, PhD studentship funded by Huawei
  • Skye: A programming language bridging theory and practice for scientific data curation, funded by an ERC Consolidator Grant (2016-2021)

Past activities

Recent publications

For additional older provenance-related publications by us and other researchers in Edinburgh, see this page.

Last modified: Sun Jun 28 13:50:12 BST 2020