Charles Rahal

Departmental Research Lecturer (Assistant Professor) in Social Data Science.

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 is both a Departmental Research Lecturer at the Leverhulme Centre for Demographic Science, and an Associate Member of Nuffield College. As part of his lecturing, he co-convenes Demographic Analysis, Life Course Research, and the Oxford Partner site of the Summer Institute in Computational Social Sciences. He is always interested in hearing from potential co-authors or prospective graduate students who share his enthusiasm for using Python and R.

 

Charles is particularly interested in unique Big Data origination processes, be they unstructured or otherwise, and is an advocate for open source and reproducible academic research (he currently sits on the Steering Group for Reproducible Research Oxford: RROx). Other current areas of interest include civic technology, applied econometrics (predominantly spatial, time series and model uncertainty), scientometrics, public health, historical demography, and social inequality, mobility and stratification more generally.

 

Specific projects underway at present include:

  • The culmination of his BA PDF which takes a granular approach to procurement across the NHS;

  • A large scientometric review of the 'Evolution of Science';

  • Work on inequalities in life expectancy across the very long run (the 'Legacy of Longevity');

  • A library to incorporate model selection and influence analysis uncertainty and robustness pipelines;

  • Various projects which analyze the distribution of corporate control

 

Follow the development of his projects on GitHub,

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Charles's academic homepage 

 

    RECENT PUBLICATIONS 

    Full list of publications Google Scholar, and more information on his academic homepage

     

    Face masks & coverings for the general public: Behavioural knowledge, effectiveness of cloth coverings & public messaging

    Mills, M.C., Rahal, C., & Akimova, E.

    Report for the Royal Society and the British Academy

    25 June 2020

    Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world

    Block, P., Hoffman, M., Raabe, I.J., Dowd, J.B., Rahal, C., Kashyap, R., & Mills, M.C.

    Nature Human Behaviour, 4: 588-596

    3 June 2020

    The GWAS Diversity Monitor tracks diversity by disease in real time

    Mills, M.C., & Rahal, C.

    Nature Genetics, 52: 242-243. Real time dashboard updated daily at www.gwasdiversitymonitor.com

    1 March 2020