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)
  • Dr. Sidahmed Benabderrahmane (Postdoc)
  • Dr. Ghita Berrada (Postdoc)
  • Arthur Chan (PhD student)
  • Dr. James Cheney (fearless leader)
  • Frank Emrich (PhD student)
  • Dr. Simon Fowler (Research Software Engineer)
  • Weili Fu (PhD student)
  • Rudi Horn (Pervasive Parallelism CDT student)
  • Dr. Wilmer Ricciotti (Postdoc)
  • Dr. Jan Stolarek (Postdoc)

Past members

Positions available


Current projects

  • 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)
  • A Diagnostics Approach to Advanced Persistent Threat Prevention (ADAPT), in collaboration with Galois, Inc., Xerox PARC, and Oregon State University, funded by DARPA's Transparent Computing research program

Past activities

Recent publications

For a more complete listing of provenance-related publications by us and other researchers in Edinburgh, see this page.

Last modified: Tue Jul 23 10:03:58 BST 2019