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Outputs (7)

Machine learning methods for “wicked” problems: exploring the complex drivers of modern slavery (2021)
Journal Article
Lavelle-Hill, R., Smith, G., Mazumder, A., Landman, T., & Goulding, J. (2021). Machine learning methods for “wicked” problems: exploring the complex drivers of modern slavery. Humanities and Social Sciences Communications, 8, Article 274. https://doi.org/10.1057/s41599-021-00938-z

Forty million people are estimated to be in some form of modern slavery across the globe. Understanding the factors that make any particular individual or geographical region vulnerable to such abuse is essential for the development of effective inte... Read More about Machine learning methods for “wicked” problems: exploring the complex drivers of modern slavery.

Understanding factors that influence unintentional insider threat: a framework to counteract unintentional risks (2021)
Journal Article
Khan, N., Houghton, R., & Sharples, S. (2022). Understanding factors that influence unintentional insider threat: a framework to counteract unintentional risks. Cognition, Technology and Work, 24, 393-421. https://doi.org/10.1007/s10111-021-00690-z

The exploitation of so-called insiders is increasingly recognised as a common vector for cyberattacks. Emerging work in this area has considered the phenomenon from various perspectives including the technological, the psychological and the sociotech... Read More about Understanding factors that influence unintentional insider threat: a framework to counteract unintentional risks.

Impacts of the COVID-19 pandemic and self-isolation on students and staff in higher education: A qualitative study (2021)
Journal Article
Knight, H., Carlisle, S., O’connor, M., Briggs, L., Fothergill, L., Al-Oraibi, A., …Blake, H. (2021). Impacts of the COVID-19 pandemic and self-isolation on students and staff in higher education: A qualitative study. International Journal of Environmental Research and Public Health, 18(20), Article 10675. https://doi.org/10.3390/ijerph182010675

This qualitative study explored the impact of COVID-19 self-isolation and social restriction measures on university students, through the perspectives of both students and the staff supporting them. The study comprised 11 focus groups (students) and... Read More about Impacts of the COVID-19 pandemic and self-isolation on students and staff in higher education: A qualitative study.

Effect of kaolin pre-treatment method and NaOH levels on the structure and properties of kaolin-derived faujasite zeolites (2021)
Journal Article
Otieno, S., Kowenje, C., Kengara, F., & Mokaya, R. (2021). Effect of kaolin pre-treatment method and NaOH levels on the structure and properties of kaolin-derived faujasite zeolites. Materials Advances, 2(18), 5997-6010. https://doi.org/10.1039/d1ma00449b

Fusion with NaOH is considered effective in the conversion of kaolin to soluble aluminosilicates. However, to date, there is no consistency in the nature and type of zeolite structures prepared from kaolin via this approach, suggesting a lack of clar... Read More about Effect of kaolin pre-treatment method and NaOH levels on the structure and properties of kaolin-derived faujasite zeolites.

Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space (2021)
Journal Article
Boyd, D. S., Perrat, B., Li, X., Jackson, B., Landman, T., Ling, F., …Foody, G. M. (2021). Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space. Humanities and Social Sciences Communications, 8, Article 111. https://doi.org/10.1057/s41599-021-00792-z

This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the exten... Read More about Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space.