Quantifying Utility and Privacy Preservation in Synthetic Data
Project leaders
Martin O'Reilly (The Alan Turing Institute)
Alison Heppenstall (University of Leeds)
Nik Lomax (University of Leeds)
Nick Malleson (University of Leeds)
Sebastian Vollmer (The Alan Turing Institute, University of Warwick)
Details
Project page main contact
Contact name: Martin O'Reilly
Contact email address: <martin's email>
Project start date: 01 Oct 2019
Project end date: 31 Mar 2020
(Clear, concise, ~3 sentences – e.g. 1st sentence: the problem being addressed, 2nd sentence: the potential solution/method, 3rd sentence: applications, output) *
Aims/expected outcomes
(What is the work hoping to achieve? What would define success? Why is this work worth doing?) 100-300 words *
Explaining the science
(Is there theory or methods that would be good to explain to understand the project’s work better? Use plain English where possible) 100-300 words *
Real world applications
(Where is this work being applied, what area/industry could it benefit?) 100-300 words *
Recent updates
(Achievements/project milestones reached since project started, with month/year)
Sensitivities
Are there likely to be any sensitivities within or around this project? (For example it deals with highly sensitive subject matter such as abuse, violence, grief, etc):
Yes, there are sensitivities / No, there aren't any sensitivities
Participating researchers
Oliver Strickson (The Alan Turing Institute)
Louise Bowler (The Alan Turing Institute)
Kasra Hoseinni (The Alan Turing Institute)
Greg Mingas (The Alan Turing Institute)
Camila Rangel-Smith (The Alan Turing Institute)
Collaborating organisations/universities
(Please include their roles as part of the project, e.g. funder, collaborator, data supplier etc)
University of Leeds (Collaborator)
University of Warwick (Collaborator)
UKRI (Funder)
Tagging
If this project is part of a programme(s) please tick below:
[ ] Artificial intelligence (Safety and ethics)
[ ] Artificial intelligence (Robotics)
[ ] Data science at scale
[ ] Data science for science
[ ] Data-centric engineering
[ ] Defence and security
[ ] Finance and economics
[ ] Health
[ ] Policy
[x] Research Engineering
[ ] Urban analytics
Is this project funded by the Strategic Priorities Fund?
Yes
Research areas (required)
(Please tick the research areas that are most applicable, up to max 10)
Use form at: https://turingcomplete.topdesk.net/tas/public/ssp/content/serviceflow?unid=48da6fe7c46b4c7393a4cfb350b4a083&openedFromService=true
Project title
Quantifying Utility and Privacy Preservation in Synthetic Data
Project leaders
Martin O'Reilly (The Alan Turing Institute) Alison Heppenstall (University of Leeds) Nik Lomax (University of Leeds) Nick Malleson (University of Leeds) Sebastian Vollmer (The Alan Turing Institute, University of Warwick)
Details
Project page main contact
Sub-heading
1 sentence summary/sub-heading (1 sentence, present tense, e.g. Using…, Developing…, Investigating…) *
Brief description
(Clear, concise, ~3 sentences – e.g. 1st sentence: the problem being addressed, 2nd sentence: the potential solution/method, 3rd sentence: applications, output) *
Aims/expected outcomes
(What is the work hoping to achieve? What would define success? Why is this work worth doing?) 100-300 words *
Explaining the science
(Is there theory or methods that would be good to explain to understand the project’s work better? Use plain English where possible) 100-300 words *
Real world applications
(Where is this work being applied, what area/industry could it benefit?) 100-300 words *
Recent updates
(Achievements/project milestones reached since project started, with month/year)
Sensitivities
Are there likely to be any sensitivities within or around this project? (For example it deals with highly sensitive subject matter such as abuse, violence, grief, etc):
Yes, there are sensitivities / No, there aren't any sensitivities
Participating researchers
Oliver Strickson (The Alan Turing Institute) Louise Bowler (The Alan Turing Institute) Kasra Hoseinni (The Alan Turing Institute) Greg Mingas (The Alan Turing Institute) Camila Rangel-Smith (The Alan Turing Institute)
Collaborating organisations/universities
(Please include their roles as part of the project, e.g. funder, collaborator, data supplier etc) University of Leeds (Collaborator) University of Warwick (Collaborator) UKRI (Funder)
Tagging
If this project is part of a programme(s) please tick below:
Is this project funded by the Strategic Priorities Fund?
Research areas (required)
(Please tick the research areas that are most applicable, up to max 10)
Algorithms
Applied Mathematics
Artificial Intelligence
Computer Systems & Architecture
Machine Learning
Mathematical Modelling
Optimisation
Privacy & Trust
Programming Languages
Social Data Science
Statistical Methods & Theory
Theoretical Mathematics