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, and is a Non-Stipendiary Research Fellow in Sociology at Nuffield College. 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. He presently teaches 'Python for Sociologists' in Michaelmas term, although he has also recently given workshops and guest lectures on the theme of 'An Introduction to Machine Learning' and 'An Introduction to the Command Line'. Other current areas of interest include civic technology, applied econometrics (predominantly spatial and time series), scientometrics, public health, historical demography, and social inequality, mobility and stratification more generally. Follow the development of his projects on github, his published academic writings on Google Scholar, and find more information on his academic homepage.


Publications:

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.