Charles Rahal

Postdoctoral Researcher in Quantitative Sociology

Charles is a social science methodologist and applied social data scientist with a background in high-dimensional econometrics, having completed his PhD in 2016. He currently holds a British Academy Postdoctoral Fellowship entitled 'The Social Data Science of Healthcare Supply' which develops data driven tools for analysing healthcare procurement processes. He is particularly interested in unique data origination processes, be they unstructured or otherwise, and is an advocate for open source and reproducible academic research, particularly in the forms of Python, LaTeX and Linux. He presently teaches 'Python for Sociologists'. Other current areas of interest include civic technology, applied econometrics (predominantly spatial and time series), scientometrics, data wrangling, software development, and social stratification and social mobility. He is increasingly becoming interested in sociological applications of text mining algorithms. Follow his projects on github and his published academic writings on Google Scholar!


Mills, M.C. and Rahal, C., (2019), 'A scientometric review of genome-wide association studies', Communications Biology, 2 (9), p.1-11. DOI: 10.1038/s42003-018-0261-x.

Rahal, C., (2018), 'The keys to unlocking public payments data', Kyklos, 71 (2), p. 310-337. DOI: 10.1111/kykl.12171.

Reeves, A., Friedman, S., Rahal, C. and Flemmen, M., (2017), 'The decline and persistence of the old boy: Private schools and elite recruitment 1897 to 2016', American Sociological Review, 82 (6), p.1139-1166. DOI: 10.1177/0003122417735742.

Tropf, F.C. et al., (2017), 'Hidden heritability due to heterogeneity across seven populations', Nature Human Behaviour, 1 (10), p.1-12. DOI: 10.1038/s41562-017-0195-1.

Rahal, C., (2016), 'Housing markets and unconventional monetary policy', Journal of Housing Economics, 32, p.67-80. DOI: 10.1016/j.jhe.2016.04.005

Rahal, C. (2015), 'A guide to the StatFact EViews add-in', Computational Economics, 1, p.1-6. DOI: 10.1007/s10614-015-9507-6.