Green Paper: Disclosure Control Of Al Algorithms From TREs (GRAIMATTER) lead: University of Dundee other instns: National Services Scotland, University of the West England UWE - Bristol, University of Edinburgh, URV (Spain)

Daly, Angela (Investigator)
Jefferson, Emily (Investigator)
Malone, Maeve (Investigator)

Status	Finished
Effective start/end date	4/01/22 → 31/08/22

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 project contributes towards the following SDG(s):

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Health Informatics Centre
MED Health and Clinical Services
Facility/equipment: Facility

3 Public engagement and outreach - public lecture/debate/seminar
1 Public engagement and outreach - media article or participation
1 Invited talk
1 Oral presentation

Functional considerations of machine learning and personal data
Cole, C. (Speaker)
12 Dec 2023
Activity: Talk or presentation types › Oral presentation
Trusted Research Environments: defining a common specification and getting them ready for ML workflows
Cole, C. (Speaker)
8 Nov 2023
Activity: Talk or presentation types › Invited talk
GRAIMatter Public Workshop
Jefferson, E. (Member), Cole, C. (Member), Malone, M. (Member), Smith, J. (Member) & Rogers, S. (Member)
19 Apr 2022
Activity: Other activity types › Public engagement and outreach - public lecture/debate/seminar

3 Other report
2 Article
1 Conference contribution
1 Other contribution

A Federated Architecture for a National Data Library
Amugi, M., Baxter, R., Cole, C., Goble, C., Jefferson, E., McDonald, F., Morris, A., Quinlan, P., Seymour, D., Smith, J., Stewart, B. & Thompson, S. G., 16 Jan 2025, Zenodo. 20 p.
Research output: Book/Report › Other report

Open Access
File
131 Downloads (Pure)
The TREvolution Profile
Baxter, R., Chuter, A., Cole, C., Hambley, A., Li, S., Machin, T., Milligan, G., Quinlan, P., Smith, J., Soiland-Reyes, S. & Thompson, S. G., 21 May 2025, Zenodo. 7 p.
Research output: Book/Report › Other report

Open Access
Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare
Kerasidou, C. (Lead / Corresponding author), Malone, M., Daly, A. & Tava, F., Dec 2023, In: Journal of Medical Ethics. 49, 12, p. 838-843 6 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
13 Link opens in a new tab Citations (Scopus)

226 Downloads (Pure)

Green Paper: Disclosure Control Of Al Algorithms From TREs (GRAIMATTER) lead: University of Dundee other instns: National Services Scotland, University of the West England UWE - Bristol, University of Edinburgh, URV (Spain)

Project Details

UN Sustainable Development Goals

Fingerprint

Health Informatics Centre

Functional considerations of machine learning and personal data

Trusted Research Environments: defining a common specification and getting them ready for ML workflows

GRAIMatter Public Workshop

A Federated Architecture for a National Data Library

The TREvolution Profile

Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare

Green Paper: Disclosure Control Of Al Algorithms From TREs (GRAIMATTER) lead: University of Dundee other instns: National Services Scotland, University of the West England UWE - Bristol, University of Edinburgh, URV (Spain)

Project Details

UN Sustainable Development Goals

Fingerprint

Equipment

Health Informatics Centre

Activities

Functional considerations of machine learning and personal data

Trusted Research Environments: defining a common specification and getting them ready for ML workflows​

GRAIMatter Public Workshop

Research output

A Federated Architecture for a National Data Library

The TREvolution Profile

Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare

Trusted Research Environments: defining a common specification and getting them ready for ML workflows