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  Keeping users and citizen scientists in the loop in transport modelling [Self-Funded Students Only]


   Cardiff School of Computer Science & Informatics

  , Dr Crispin Cooper  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Modelling transport of all forms (car, public transport, walking and cycling) remains highly relevant to Net Zero goals, inclusivity and economic development. Transport modelling however typically takes place within an organizational silo, in which consultants deliver a final model to local authorities who then proceed to public consultation.

Transport models typically remain opaque to non-specialists in the communities whose futures they inform.

This project will attempt to take a citizen science approach to design methods for human-in-the-loop transport models, creating web interfaces and supporting communities to allow non-specialists to understand why the model predicts what it does, and to contribute local knowledge to the modelling process by raising concerns when modelling assumptions appear to contradict community knowledge.

You will be supervised by Sandy Gould (citizen science expertise) and Crispin Cooper (transport modelling expertise) on this exciting and highly interdisciplinary project.

Contact for information on the project: Crispin Cooper

Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.

Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.

How to apply:

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

This project is accepting applications all year round, for self-funded candidates via https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics 

In order to be considered candidates must submit the following information: 

  • Supporting statement 
  • CV 
  • In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
  • Qualification certificates and Transcripts
  • Proof of Funding. For example, a letter of intent from your sponsor or confirmation of self-funded status (In the funding field of your application, insert Self-Funded)
  • References x 2 
  • Proof of English language (if applicable)

If you have any questions or need more information, please contact 

Computer Science (8)

Funding Notes

This project is offered for self-funded students only, or those with their own sponsorship or scholarship award.
Please note that a PhD Scholarship may also available for this PhD project. If you are interested in applying for a PhD Scholarship, please search FindAPhD for this specific project title, supervisor or School within its Scholarships category.

References

Relevant publications from supervisors:
Rudnicka, A; Cox, AL; Gould, SJJ; (2019) Why Do You Need This? Selective Disclosure of Data Among Citizen Scientists. In Proceedings of CHI Conference on Human Factors in Computing Systems Proceedings. Paper #392 https://research.birmingham.ac.uk/en/publications/why-do-you-need-this-selective-disclosure-of-data-among-citizen-s
Jennett, C; Furniss, D; Iacovides, I; Wiseman, S; Gould, SJJ; Cox, AL
(2014) Exploring Citizen Psych-Science and the Motivations of Errordiary Volunteers. Human Computation, 1(2) pp.200-218. http://www.hcjournal.org/index.php/jhc/article/view/18/40
Cooper, C.H.V., Harvey, I., Orford, S. et al. Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows. Transportation 48, 643–672 (2021). https://doi.org/10.1007/s11116-019-10072-0
Chan, E.Y.C., Cooper, C.H.V. Using road class as a replacement for predicted motorized traffic flow in spatial network models of cycling. Sci Rep 9, 19724 (2019). https://www.nature.com/articles/s41598-019-55669-8

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