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are commonly targeted at experts in data analysis in search of insights from unfamiliar datasets. The premise is that most of current learning analytics tools are not designed as explanatory interfaces. This is
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aspect relates to using existing PET algorithms to address a real-life problem that can be of a significant value for the society. There is effectively no limit to what social problem can be targeted
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optimisation queries. A few sources of the target optimisation problems will be considered. To mention a few, the project will focus on (1) combining abstraction refinement and optimisation, (2) dealing with
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trusted societies. This is driven by a wide range of technologies - from targeted observation, through more generalised surveillance via the networked IOT, to accessing data held on public and private