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Dr Rowland Seymour
Applications accepted all year round
Competition Funded PhD Project (UK Students Only)
Birmingham
United Kingdom
Applied Statistics
Criminology
Data Analysis
Mathematical Modelling
Statistics
About the Project
Victims of modern slavery are exploited for personal and commercial gain. In 2015, the Home Office estimated that there are 11,000-13,000 victims of modern slavery in the UK (Silverman, 2020). Data about modern slavery is often, noisy, sparse or censored. Tin this project, we will develop Bayesian methods for statistical models to estimate the prevalence of and risks associated with modern slavery. There are several models available (e.g. Multiple Systems Estimation, Network Scale Up, and Comparative Judgement models), but these models rely on assumptions that are not always valid for modern slavery data. This project will be about reducing or removing these assumptions and developing ways of fitting these models quickly and efficiently.
References
Silverman, B. W. (2020). Multiple‐systems analysis for the quantification of modern slavery: classical and Bayesian approaches. Journal of the Royal Statistical Society. Series A, (Statistics in Society), 183(3), 691–736. https://doi.org/10.1111/rssa.12505
A. Nyarko-Agyei et. al. A Partially Pooled NSUM Model: Detailed estimation of CSEM trafficking prevalence in Philippine municipalities. arXiv:2407.13267
A. Nyarko-Agyei et. al. A Partially Pooled NSUM Model: Detailed estimation of CSEM trafficking prevalence in Philippine municipalities. arXiv:2407.13267
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