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SCDTP Studentship - An Interdisciplinary Study of Predictive Policing Algorithms: ‘Big Data’ Issues and Frontline Perspectives

Sociology Social Policy & Criminology

Location:  Highfield Campus
Salary:   £15,009
(19/20 UKRI rate)
Closing Date:  Thursday 23 January 2020
Reference:  1204119CC

An Interdisciplinary Study of Predictive Policing Algorithms:  ‘Big Data’ Issues and Frontline Perspectives 

A fully funded studentship awarded by the Economic and Social Research Council (ESRC) South Coast Doctoral Training Partnership (SCDTP) commencing in 2020/21 Academic Year.

Supervisory Team:

Dr Pamela Ugwudike ( (Department of Sociology, Social Policy and Criminology, Faculty of Social Sciences) and Dr Adriane Chapman (Department of Electronics and Computer Science, Faculty of Engineering and Physical Sciences).

We are pleased to welcome applications from candidates interested in using social science methods to study predictive policing algorithms, with a specific focus on understanding how data biases potentially affecting predictions can be addressed. The study will also explore how police staff perceive and implement the algorithms. This interdisciplinary project provides a unique opportunity to study the impact of criminal justice technology on society.

Skills Required

Social science research skills (qualitative and quantitative methods)


South Coast DTP Funding provides an annual maintenance grant (tax free) of £15009 (2019/20 UKRI rate), plus payment of all programme fees.  Other funding available for SCDTP funded students can be found on the SCDTP website (

Funding is provided for 3 years full-time PhD study (pro-rata for part-time students).  Applications for 1+3 funding for students completing a Master's year prior to the commencement of PhD study are also welcome (details available at

Application Procedure

The closing date and time for applications is 4.00pm on 23rd January 2020.  The full application procedure, the funding application form, and more information on the South Coast Doctoral Training Partnership can be found at:

For further information about this project, please contact the lead supervisor detailed above.  For questions relating to the application procedure, or for more information about the SCDTP, please visit the SCDTP website or contact us at

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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