Uncertainty: whether it be developing tools to help communicate it in lay-professional encounters, tools that take into account human uncertainty (and the consequent need for continuing change in a legal system), or methods to flag up / explain uncertainty to professional (or public policy) users of data science tools.
Whether they be medics, lawyers or educators, professionals often need to make decisions based on incomplete data, applying models that are themselves fallible. How do they communicate the uncertainty underlying their decision? Often not very well: few are trained in statistics, and if they are it is often a challenge to translate that expertise in the context of a lay-professional consultation. Recent research (notably by Mihaela van der Schaar https://www.turing.ac.uk/people/researchers/mihaela-van-der-schaar) Is starting to develop tools to help professionals –mostly medics at this stage- to communicate uncertainty, sometimes by producing visual aids ‘mapping’ the impact of both past and future possible events on outcomes. There are strong ethical and policy arguments for the wider development (and deployment) of such tools, which need not be confined to healthcare or diagnosis uncertainty.
This particular PhD project requires a robust background in statistics / data science combined with a genuine interest in professional ethics.
The successful candidate will have a first class undergraduate and Masters degree in any of the disciplines relevant to the above project (this includes applied mathematics, computer science, philosophy, law, medicine, psychology, public policy) together with demonstrable expertise in statistical / data science. The successful candidate also needs to demonstrate a genuine interest in professional ethics and/or public policy.
To support students the Turing offers a generous tax-free stipend of £20,500 per annum, a travel allowance and conference fund, and tuition fees for a period of 3.5 years.