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Using the five safes to structure economic evaluations of data governance (2024)
Journal Article
Ritchie, F., & Whittard, D. (2024). Using the five safes to structure economic evaluations of data governance. Data & Policy, 6, Article e16

As the world has become more digitally-dependent, questions of data governance such as ethics, institutional arrangements and statistical protection measures have increased in significance. Understanding the economic contribution of investments in da... Read More about Using the five safes to structure economic evaluations of data governance.

Theorising non-bank financial intermediation (2024)
Journal Article
Michell, J. (2024). Theorising non-bank financial intermediation. Review of Keynesian Economics, 12(2), 181–196. https://doi.org/10.4337/roke.2024.02.04

The expansion of non-bank financial intermediation (NBFI) presents a challenge for monetary theories which emphasise the macroeconomic significance of commercial bank lending. The heterodox literature which has emerged since the 2008 crisis falls rou... Read More about Theorising non-bank financial intermediation.

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article
Derrick, B., Green, E., Ritchie, F., Smith, J., & White, P. (2024). The inadvertently revealing statistic: A systemic gap in statistical training?. Significance, 21(1), 24-27. https://doi.org/10.1093/jrssig/qmae009

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White

Climate change and modern slavery in public procurement (2024)
Report
Alves, K., Rogerson, M., & Grosvold, J. (2024). Climate change and modern slavery in public procurement. Modern Slavery Policy & Evidence Centre

Existing links between modern slavery and climate change are becoming clearer as the need increases for a just transition to a low-carbon economy. Yet, how organisations attempt to address these risks, either separately or simultaneously, is not unde... Read More about Climate change and modern slavery in public procurement.

Machine learning models in trusted research environments - Understanding operational risks (2023)
Journal Article
Ritchie, F., Tilbrook, A., Cole, C., Jefferson, E., Krueger, S., Mansouri-Benssassi, E., …Smith, J. (2023). Machine learning models in trusted research environments - Understanding operational risks. International Journal of Population Data Science, 8(1), Article 2165. https://doi.org/10.23889/ijpds.v8i1.2165

IntroductionTrusted research environments (TREs) provide secure access to very sensitive data for research. All TREs operate manual checks on outputs to ensure there is no residual disclosure risk. Machine learning (ML) models require very large amou... Read More about Machine learning models in trusted research environments - Understanding operational risks.

The present and future of the Five Safes framework (2023)
Journal Article
Green, E., & Ritchie, F. (2023). The present and future of the Five Safes framework. Journal of Privacy and Confidentiality, 13(2), https://doi.org/10.29012/jpc.831

The Five Safes has become the default framework for confidential data governance across multiple sectors and countries. Since its inception in 2003, the approach has influenced data management in many ways, particularly in the public sector. As it ha... Read More about The present and future of the Five Safes framework.

SACRO guide to statistical output checking (2023)
Other
Ritchie, F., Green, E., Smith, J., Tilbrook, A., & White, P. (2023). SACRO guide to statistical output checking. [web]

This guide for output SDC is the first report from the SACRO project. It covers, theory of output SDC, including the new statbarns model, practicalities, operational considerations, and FAQs for output checking teams.

Characterising redistributed manufacturing in healthcare through the lens of transdisciplinary innovation (2023)
Book Chapter
Kapletia, D., & Phillips, W. (2023). Characterising redistributed manufacturing in healthcare through the lens of transdisciplinary innovation. In M. Seyed Esfahani, & M. Halkes (Eds.), Healthcare Innovation Shaping Future Models of Delivery (243-262). World Scientific Publishing. https://doi.org/10.1142/9781800614192_0009

This chapter explores the emergence of Redistributed Manufacturing (RDM) as a disruptive system that can help address wicked or complex problems in healthcare, which cannot easily be solved by individual disciplines alone. RDM is presented as a new f... Read More about Characterising redistributed manufacturing in healthcare through the lens of transdisciplinary innovation.

Research data governance in low-and middle-income countries (2023)
Report
Ferrer Breda, P., Green, E., Kendal, C., & Ritchie, F. (2023). Research data governance in low-and middle-income countries. Bristol: UWE

Research and policy development on the governance of confidential research data is dominated by the work of academics and government agencies based in high-income countries (HICs). This leaves three quarters of the world’s population faced with a cor... Read More about Research data governance in low-and middle-income countries.

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic (2023)
Journal Article
Balasubramanian, S., Shukla, V., Islam, N., Upadhyay, A., & Duong, L. (in press). Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic. International Journal of Production Research, https://doi.org/10.1080/00207543.2023.2263102

The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and highlighted the need for innovative, technology-driven solutions like Artificial Intelligence (AI). However, previous research on the topic has been limited and fragmented... Read More about Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic.

Research data governance in low- and middle-income countries (2023)
Presentation / Conference
Ferrer Breda, P., Green, E., & Ritchie, F. (2023, September). Research data governance in low- and middle-income countries. Paper presented at UNECE/Eurostat Expert Group on Statisticial Data Confidentiality, Wiesbaden

Research and policy development on the governance of confidential research data is dominated by the work of academics and government agencies based in high-income countries (HICs). This leaves three quarters of the world’s population faced with a cor... Read More about Research data governance in low- and middle-income countries.

Towards a comprehensive theory and practice of output SDC (2023)
Presentation / Conference
Derrick, B., Green, E., Ritchie, F., & White, P. (2023, September). Towards a comprehensive theory and practice of output SDC. Paper presented at UNECE/Eurostat Expert Group on Statisticial Data Confidentiality, Wiesbaden

In 2000, the statistical disclosure control of outputs (OSDC) was largely limited to models of table protection developed by and intended for national statistical institutes (NSIs), as a particular branch of general SDC theory. However, in this centu... Read More about Towards a comprehensive theory and practice of output SDC.

Disclosure control issues in complex medical data (2023)
Presentation / Conference
Green, E., Ritchie, F., Smith, J., Western, D., & White, P. (2023, September). Disclosure control issues in complex medical data. Paper presented at UNECE/Eurostat Expert Group on Statisticial Data Confidentiality, Wiesbaden

The covid19 pandemic assisted the acceleration of routine access to medical records for research. In the UK platforms including OpenSafely and NHSDigital, alongside emerging hospital trust based Trusted Research Environments (TREs), demonstrate the u... Read More about Disclosure control issues in complex medical data.

Generative Artificial Intelligence (AI) in higher education: A comprehensive review of opportunities, challenges and implications (2023)
Working Paper
Bobula, M. Generative Artificial Intelligence (AI) in higher education: A comprehensive review of opportunities, challenges and implications

This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5 within the realm of higher education. Through a comprehensive review of academ... Read More about Generative Artificial Intelligence (AI) in higher education: A comprehensive review of opportunities, challenges and implications.

From necessity to choice: An exploration of participants’ learning experience of online coaching training programmes (2023)
Conference Proceeding
Mangion-Thornley, K. (2023). From necessity to choice: An exploration of participants’ learning experience of online coaching training programmes. In The 23rd International Conference on Human Resource Development Research and Practice across Europe, “Workplace change – disruption, continuity and reinvention. The role of HRD in a changing Global Context”. Book of Abstracts (173-174)

This exploratory study examines how online coaching education is experienced by managers and senior leaders taking part in a Coaching and Mentoring (C&M) qualification at level 5 and 7. This is particularly timely and important considering the shift... Read More about From necessity to choice: An exploration of participants’ learning experience of online coaching training programmes.

RiHN Fina Report PDF 2023 (2023)
Report
Phillips, W., Bello, S., Benger, J., Bibb, R., Dalgarno, K., Howell, C., …Uwalaka, V. (2023). RiHN Fina Report PDF 2023. Bristol, UK: EPSRC

Over a period of two years, the EPSRC funded RiHN brought together a multi-disciplinary network of academics stakeholder organisations, clinical groups and industry to provide a forum to define the challenges of realising Redistributed Manufacturing... Read More about RiHN Fina Report PDF 2023.

Empirical investigation of supply chain 4.0 adoption in Vietnam (2022)
Presentation / Conference
Nguyen, G., Soares, A., Duong, L., & Kuma, V. (2022, July). Empirical investigation of supply chain 4.0 adoption in Vietnam. Paper presented at The 5th European Conference on Industrial Engineering and Operations Management, Italy

Purpose With the rise of Industry 4.0 (I4.0) technologies, supply chains (SC) have evolved significantly to become digital SC or the so-called Supply chain 4.0 (SC4.0). However, despite the priority on I4.0 as a prominent growth driver of sustainabl... Read More about Empirical investigation of supply chain 4.0 adoption in Vietnam.