Meta-policy and co-policy analysis
A policy may be conceived in isolation but is necessarily deployed in a context governed by other policies. Some of these other policies may operate at the same level on the same actors – co-policies – and some at higher levels – meta-policies – constraining what other policies may forbid, permit or oblige. In the first case, actions or states in one policy need to be communicated with another, while in the other actions or states in the lower policy need to be observable by the higher policy. In the context of socio-cognitive systems governed by a multitude of personal, organizational and jurisdictional policies/legislation, it becomes necessary to be able to determine policy (in)compatibilities a priori, through providing policy authors with the means to explore the consequences of policy design choices, identify policy lacunae, support policy regression validation, maintain a policy development provenance trail and indicate where policy revisions/refactorings may be desirable to establish an acceptable level of friction for actors in the policy-governed space.
This project is associated with the UKRI CDT in Accountable, Responsible and Transparent AI (ART-AI), which is looking for its second cohort of at least 10 students to start in September 2020. Further details can be found at: www.bath.ac.uk/centres-for-doctoral-training/ukri-centre-for-doctoral-training-in-accountable-responsible-and-transparent-ai/.
Applicants should hold, or expect to receive, a First or Upper Second Class Honours degree. A master’s level qualification would also be advantageous.Desirable qualities in candidates include intellectual curiosity, a strong background in maths and programming experience.
Informal enquiries should be directed to Dr Julian Padget: [Email Address Removed].
Enquiries about the application process should be sent to [Email Address Removed].
Formal applications should be made via the University of Bath’s online application form: https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUCM-FP02&code2=0002
Start date: 28 September 2020.
ART-AI CDT studentships are available on a competition basis for UK and EU students for up to 4 years. Funding will cover UK/EU tuition fees as well as providing maintenance at the UKRI doctoral stipend rate (£15,009 tax-free per annum in 2019/20, updated annually in line with the GDP deflator) and a training support fee of £1,000 per annum.
We also welcome all-year-round applications from self-funded candidates and candidates who can source their own funding.
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