CORE Econ: A neoclassical synthesis for the twenty-first century? (2023)
Journal Article
Michell, J. (2023). CORE Econ: A neoclassical synthesis for the twenty-first century?. Advances in Economics Education, 2(2), 145–162

This paper provides a critical review of CORE Econ’s The Economy and associated materials. It argues that there is a need for reworked economics textbooks and that CORE Econ’s approach to this project – to replace mathematical abstractions with relev... Read More about CORE Econ: A neoclassical synthesis for the twenty-first century?.

Impact of digital technology on supply chain efficiency in manufacturing industry (2022)
Book Chapter
Wang, X., Kumar, V., Kumari, A., & Kuzmin, E. (2022). Impact of digital technology on supply chain efficiency in manufacturing industry. In V. Kumar, J. Leng, V. Akberdina, & E. Kuzmin (Eds.), Digital Transformation in Industry: Digital Twins and New Business Models (28). Springer (part of Springer Nature). https://doi.org/10.1007/978-3-030-94617-3

With the advancement of digital technologies, supply chain management is changing dramatically. However, the practice and application of digital supply chains are complex and challenging. Some studies claim that technology is the core element, while... Read More about Impact of digital technology on supply chain efficiency in manufacturing industry.

Frameworks, principles, and accreditation: Making data governance work (2022)
Presentation / Conference
Ritchie, F. (2022, November). Frameworks, principles, and accreditation: Making data governance work. Presented at RSS Data Ethics and Governance – origins, progress and priorities, London

Presentation to the Royal Statistical Society Data Ethics Section, covering the origins and development of the Five Safes, the EDRU approach to problems-solving, principles-based regulation, and how these all need to work together to achieve effectiv... Read More about Frameworks, principles, and accreditation: Making data governance work.

10 is the safest number that there's ever been (2022)
Journal Article
Ritchie, F. (2022). 10 is the safest number that there's ever been. Transactions on data privacy, 15(2), 109-140

When checking frequency and magnitude tables for disclosure risk, the cell threshold (the minimum number of observations in each cell) is a crucial parameter. In rules-based environments, this is a hard limit on what can or can't be published. In pri... Read More about 10 is the safest number that there's ever been.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference
Derrick, B., Green, E., Ritchie, F., & White, P. (2022, April). Disclosure risks in odds ratios and logistic regression. Paper presented at Scottish Economic Society Annual Conference 2022: Special session 'Protecting confidentiality in social science research outputs', Glasgow

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.

Training analysts in the management of confidential data (2022)
Working Paper
Green, E., & Ritchie, F. Training analysts in the management of confidential data

With researchers increasingly gaining access to confidentiality data through restricted environments, interest has grown in the training of those researchers to protect confidentiality and to use the secure facility effectively. Researcher training,... Read More about Training analysts in the management of confidential data.

Using the ‘five safes’ to structure economic evaluations of data governance (2022)
Working Paper
Ritchie, F., & Whittard, D. Using the ‘five safes’ to structure economic evaluations of data governance

The ‘five safes’ is a popular data governance framework. It is used to design and critique data management strategies across the world, and has also been used as a performance framework to measure the effectiveness of data access operations. We repor... Read More about Using the ‘five safes’ to structure economic evaluations of data governance.

Adopting industry 4.0 by leveraging organisational factors (2021)
Journal Article
Srivastava, D. K., Kumar, V., Ekren, B. Y., Upadhyay, A., Tyagi, M., & Kumari, A. (2022). Adopting industry 4.0 by leveraging organisational factors. Technological Forecasting and Social Change, 176, Article 121439. https://doi.org/10.1016/j.techfore.2021.121439

The manufacturing sector needs to focus on social, environmental and technological factors to integrate Industry 4.0 in production planning, logistics and supply chains. Technical Education Institutes (TEIs) can play a key role in achieving this ambi... Read More about Adopting industry 4.0 by leveraging organisational factors.

Statistical disclosure control for HESA: Part 1: Review of SDC theory (2021)
Report
Green, E., & Ritchie, F. (2021). Statistical disclosure control for HESA: Part 1: Review of SDC theory. Higher Education Statistics Agency (HESA)

This report for the Higher Education Statistics Agency (HESA) is a summary of statistical disclosure control (SDC) methods for tabular outputs.

Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks (2021)
Journal Article
Green, E., Ritchie, F., & Smith, J. (2021). Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks. ESS Statistical Working Papers, 2021 Edition, https://doi.org/10.2785/75954

This paper discusses the issues surrounding the creation of an automatic tool to reduce the burden of output checking in research environments. It describes ACRO (Automatic Checking of Research Outputs), a Stata tool written as a proof-of-concept, an... Read More about Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks.

Statistical disclosure controls for machine learning models (2021)
Conference Proceeding
Krueger, S., Mansouri-Benssassi, E., Ritchie, F., & Smith, J. (2021). Statistical disclosure controls for machine learning models

Artificial Intelligence (AI) models are trained on large datasets. Where the training data is sensitive, the data holders need to consider risks posed by access to the training data and risks posed by the models that are released. The first problem c... Read More about Statistical disclosure controls for machine learning models.

The present and future of confidential microdata access [draft] (2021)
Presentation / Conference
Green, E., & Ritchie, F. (2021, July). The present and future of confidential microdata access [draft]. Presented at The Present and Future of Microdata Access

This briefing document was prepared for the DRAGoN conference 'The Present and Future of Microdata Access', 5th-9th July 2021. It provides an introduction to the topics to be covered in the conference.

The present and future of confidential microdata access: Post-workshop report (2021)
Presentation / Conference
Green, E., Ritchie, F., Tava, F., Ashford, W., & Ferrer Breda, P. (2021, July). The present and future of confidential microdata access: Post-workshop report. Presented at The Present and Future of Microdata Access

In the summer of 2021, the University of the West of England, in collaboration with UN Economic Commission for Europe, Eurostat, INXEDA and statistical organisations across the world, hosted a workshop to review lessons learnt in microdata access ove... Read More about The present and future of confidential microdata access: Post-workshop report.

Measuring the value of improving data governance and access in Gates Foundation programme: A case study of the Supporting Soil Health Interventions in Ethiopia projects (2021)
Journal Article
Whittard, D., Ritchie, F., & Nyengani, J. (2021). Measuring the value of improving data governance and access in Gates Foundation programme: A case study of the Supporting Soil Health Interventions in Ethiopia projects. Gates Open Research, 5, Article 97. https://doi.org/10.21955/gatesopenres.1116786.1

The Centre for Agriculture and Bioscience International (CABI) and the Open Data Institute (ODI) commissioned a team of economists to measure the value of improving data governance and access in the Supporting Soil Health Interventions in Ethiopia (S... Read More about Measuring the value of improving data governance and access in Gates Foundation programme: A case study of the Supporting Soil Health Interventions in Ethiopia projects.

Use of blended learning to teach mathematics to first year economics students (2021)
Presentation / Conference
Haroon, M. (2021, June). Use of blended learning to teach mathematics to first year economics students. Paper presented at UWE Festival of Learning 2021

Traditional Higher Education providers have been increasingly embracing a more blended learning provisions for last couple of years. The rate of adoption has increased significantly following Covid-19 pandemic. Whilst blended learning is easier to ad... Read More about Use of blended learning to teach mathematics to first year economics students.

Process and economic evaluation of the ODI R&D programme: Final report (2021)
Report
Alves, K., Tava, F., Whittard, D., Green, E., Beata Kreft, M., & Ritchie, F. (2021). Process and economic evaluation of the ODI R&D programme: Final report. London: Open Data Institute

The Open Data Institute was funded by Innovate UK to undertake a major programme of Research and Development on "Data Innovation for the UK", which was re-scoped and funded on a yearly basis for a total of 4 years (called, for short, "The R&D program... Read More about Process and economic evaluation of the ODI R&D programme: Final report.

Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control (2020)
Journal Article
Alves, K., & Ritchie, F. (2020). Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control. Statistical Journal of the IAOS, 36(4), 1281-1293. https://doi.org/10.3233/SJI-200661

Statistical agencies and other government bodies increasingly use secure remote research facilities to provide access to sensitive data for research and analysis by internal staff and third parties. Such facilities depend on human intervention to ens... Read More about Runners, repeaters, strangers and aliens: Operationalising efficient output disclosure control.

Security properties of light clients on the ethereum blockchain (2020)
Journal Article
Paavolainen, S., & Carr, C. (2020). Security properties of light clients on the ethereum blockchain. IEEE Access, 8, 124339-124358. https://doi.org/10.1109/access.2020.3006113

Ethereum is a decentralized blockchain, known as being the second most popular public blockchain after Bitcoin. Since Ethereum is decentralised the canonical state is determined by the Ethereum network participants via a consensus mechanism without a... Read More about Security properties of light clients on the ethereum blockchain.

Understanding output checking (2020)
Report
Green, E., Ritchie, F., & Smith, J. (2020). Understanding output checking. Luxembourg: European Commission (Eurostat - Methodology Directorate)

This report for Eurostat (Methodology) considers the conceptual and practical issues that need to be addressed in designing and implementing automatic disclosure control checking for statistical research outputs. The report covers - The basic theo... Read More about Understanding output checking.

10 is the safest number that there’s ever been (2019)
Presentation / Conference
Ritchie, F. (2019, October). 10 is the safest number that there’s ever been. Paper presented at Workshop on statistical data confidentiality 2019, The Hague

When checking frequency and magnitude tables for disclosure risk, the cell threshold (the minimum number of observations in each cell) is the crucial statistic. In rules-based environments, this is a hard limit on what can or can’t be published. In p... Read More about 10 is the safest number that there’s ever been.