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Accessibility statement
Award
Award
Duration
Duration
Start dates
Start dates
Application
Application
PhD (MPhil also available)
PhD (MPhil also available)
Full-time: 3–4 years
Part-time: 6–8 years
Full-time: 3–4 years
Part-time: 6–8 years
February and October
February and October
January to April
January to April
Computational Social Science research targets the enhancement of critical societal issues through the use of Artificial Intelligence solutions. This research aligns to the core values of The Open University, and has contributed to urgent and vital topics, such as misinformation detection, online radicalisation and extremism, crisis management, and climate change.
In the last few years, our research on Computational Social Science has attracted funding for five European projects (HERoS, Co-Inform, Trivalent, DecarboNet and COMRADES), and has led to the publication of more than 100 scientific articles. Among the technologies developed, CREES (Crisis Event Extraction Service), an advanced Artificial Intelligent method that identifies crisis events in social media streams, is being used by various humanitarian organisations.
Minimum 2:1 undergraduate degree (or equivalent). If you are not a UK citizen, you may need to prove your knowledge of English.
UK fee
UK fee
International fee
International fee
Full-time: £5,006 per year
Full-time: £5,006 per year
Full-time: £16,420 per year
Full-time: £16,420 per year
Part-time: £2,503 per year
Part-time: £2,503 per year
Part-time: £8,210 per year
Part-time: £8,210 per year
Some of our research students are funded via a Doctoral Training Partnership; others are self-funded.
For detailed information about fees and funding, visit Fees and studentships.
To see current funded studentship vacancies across all research areas, see Current studentships.
An image to illustrate the Computational social science research topic
Get in touch
If you have an enquiry specific to this research topic, please contact:
Ms Ortenz Rose (KMi Senior Services Assistant)
Email: KMI PHD Enquiries
Phone: +44 (0)1908 654774
Apply now
Please review the application process if you want to apply for this research topic.
Level info