Data science and extended intelligence

Qualifications Duration Start dates Application period
PhD
(MPhil also available)
Full-time: 3–4 years
Part-time: 6–8 years
February and October January to April
Qualifications
PhD (MPhil also available)
Duration
Full-time: 3–4 years
Part-time: 6–8 years
Start dates
February and October
Application period
January to April

Data science and extended intelligence goes beyond efficient data infrastructure and engineering, it studies data empowered human processes that lead to smarter, fairer, more sustainable and equitable ways of living.

Our research on Artificial Intelligence technologies to facilitate citizen science learning focuses on motivating citizen action. These include technologies to support citizens’ identification of species using natural language generation to provide formative feedback, automatically generating multiple-choice quizzes to test learning, and intelligently visualising ecological data to engage citizens.

The Intelligent System and Data Science group pioneers research in Digital Humanities, Smart Cities and Robotics, and Scholarly Data Analytics. Finally, our research in Data Science and AI for scholarly communication has produced the world’s largest collection of open access research papers (CORE), and a variety of cutting edge technologies to support editorial processes at Springer Nature.

Entry requirements

Minimum 2:1 undergraduate degree in a technical or appropriate social science discipline, depending on the project proposed. If you are not a UK citizen, you may need to prove your knowledge of English.

Potential research projects

  • Artificial Intelligence in Photography
  • Citizen Science Exhibitions
  • Communicating Complex Data
  • Discussion Based Collective Intelligence
  • Distributed Linked Data for Cultural Heritage 
  • Enhancing robots through Knowledge Technologies
  • Shape and Movement Analysis for Biodiversity Monitoring
  • Supporting Scientific Research with Knowledge Graphs

Current/recent research projects

Potential supervisors

Fees and funding

UK fee International fee
Full-time: £4,786 per year Full-time: £15,698 per year
Part-time: £2,393 per year Part-time: £7,849 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.

Links

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How to apply

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.