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Welcome to Repository@Hull

Repository@Hull is the University’s Open Access repository for publications. The primary purpose of Repository@Hull is to provide open access to publications authored by staff and students affiliated with the University of Hull.

See our Policies page for further information.



Latest Additions

Large-scale migration into Britain during the Middle to Late Bronze Age (2021)
Journal Article
Patterson, N., Isakov, M., Booth, T., Büster, L., Fischer, C.-E., Olalde, I., Ringbauer, H., Akbari, A., Cheronet, O., Bleasdale, M., Adamski, N., Altena, E., Bernardos, R., Brace, S., Broomandkhoshbacht, N., Callan, K., Candilio, F., Culleton, B., Curtis, E., Demetz, L., …Reich, D. (2022). Large-scale migration into Britain during the Middle to Late Bronze Age. Nature, 601(7894), 588-594. https://doi.org/10.1038/s41586-021-04287-4

Present-day people from England and Wales have more ancestry derived from early European farmers (EEF) than did people of the Early Bronze Age. To understand this, here we generated genome-wide data from 793 individuals, increasing data from the Midd... Read More about Large-scale migration into Britain during the Middle to Late Bronze Age.

Teaching first-year students during transition to higher education: An autoethnographical account (2025)
Journal Article
Tomlinson, A., & Killingback, C. (2025). Teaching first-year students during transition to higher education: An autoethnographical account. Journal of Perspectives in Applied Academic Practice, 13(2), 65-79. https://doi.org/10.56433/nm1k9e08

Transition to the first-year of higher education represents a key period of change for students and is a powerful element of the university experience. Educators are key in facilitating successful first-year experiences and must understand the multid... Read More about Teaching first-year students during transition to higher education: An autoethnographical account.

Diffusion of Digital Transformation Initiatives in Multi-Tier Supply Chains: The Double Agency Role of Tier-1 Suppliers (2025)
Journal Article
Zhang, Z., Mishra, N., Wulandhari, N. B. I., Gölgeci, I., & Singh, A. (2025). Diffusion of Digital Transformation Initiatives in Multi-Tier Supply Chains: The Double Agency Role of Tier-1 Suppliers. International journal of production economics, 288, Article 109728. https://doi.org/10.1016/j.ijpe.2025.109728

Growing global supply chain complexity has generated interest in multi-tier management, yet most research focuses on focal–Tier-1 ties, overlooking Tier-2 dynamics. A specific gap exists in investigating digital transformation initiatives (DTI) withi... Read More about Diffusion of Digital Transformation Initiatives in Multi-Tier Supply Chains: The Double Agency Role of Tier-1 Suppliers.

The CSI effect in academia: influencing forensic science enrolment and perception in higher education (2025)
Journal Article
Ness, D., & Preece, D. (in press). The CSI effect in academia: influencing forensic science enrolment and perception in higher education. Egyptian Journal of Forensic Sciences, 15(1), Article 48. https://doi.org/10.1186/s41935-025-00467-9

ackground

Television portrayals of forensic science, often referred to as the CSI effect, have been widely discussed in relation to their influence on public perceptions and jury expectations. Less explored, however, is how these portrayals shape... Read More about The CSI effect in academia: influencing forensic science enrolment and perception in higher education.

Projecting stock market impacts of climate change via rational bubble models (2025)
Journal Article
Fry, J. (online). Projecting stock market impacts of climate change via rational bubble models. Risk analysis, https://doi.org/10.1111/risa.70078

In this paper we develop a rational bubble model to quantify the susceptibility of global stock markets to future temperature rises. The approach builds on existing theory incorporating the unpredictable timing of future Black-Swan events alongside p... Read More about Projecting stock market impacts of climate change via rational bubble models.