Report/Guide

Wright, L; Clarke, J; Livina, V; Barnes, C; Thomas, S; Duncan, P (2026) Getting the Measure of AI: Building Confidence in AI and Assurance through Metrics and Measurement. Bushy House Scientific Meeting, 21-22 October 2025. NPL Report. Bushy House Scientific Meetings Report 1

Alsuleman, M; Duncan, P; Thompson, A (2025) Screening of Atrial Fibrillation using Wearable PPG Devices – a Trustworthy and Safe AI Life Cycle Case Study. NPL Report. MS 61

Adel, T; McCrory, M; Tynan, C; Thompson, A; Duncan, P (2025) Characterising and Testing the Trustworthiness of Artificial Intelligence Systems. NPL Report. MS 62

Levene, M; Adel, T; Alsuleman, M; George, I; Krishnadas, P; Lines, K; Luo, Y; Smith, I; Duncan, P (2024) A Life Cycle for Trustworthy and Safe Artificial Intelligence Systems. NPL Report. MS 57

Saint, R; Duncan, P (2024) Data Modelling Good Practice Guide. NPL Report. MS 53

Gregorio, J; Duncan, P (2023) An Overview of Digital Thread Testing and Software Interoperability for Digital Supply Chains. NPL Report. MS 51

Article

Hippolyte, J-L; Romanchikova, M; Bevilacqua, M; Duncan, P; Hunt, S E; Toro, F G; Piette, A-S; Neumann, J (2023) Using ontologies to create machine-actionable datasets: two case studies. Metrology, 3 (1). pp. 65-80.

Conference or Workshop Item

Hippolyte, J L; Duncan, P; Bevilacqua, M; Chrubasik, M (2022) Ontologies for Experimental Mechanics. In: 16th International Conference on Advances in Experimental Mechanics, 06-08 September 2022, Oxford, UK.