Most analyses of multidimensional poverty use cross-sectional data. Consequently very little is known about multidimensional poverty dynamics at the micro-level. This paper uses panel data of the European Union Statistics on Income and Living Conditions (EU-SILC) for 19 countries over 2016–2020 to analyse a multidimensional poverty index broadly consistent with previous work using the same data. Technically, I build on previous research proposing analyses of transitions in multidimensional poverty and its deprivations to illuminate processes which result in deprivations to accumulate.

As the topic of job quality is garnering more attention in both the academic and policy making literature, calls for standardised measures of the concept are gaining increasing traction. However, prevailing measures based on dashboards of complex lists of indicators are difficult to interpret, especially across countries. More recently, the World Bank has published a working paper on “Global Job Quality” that measures multidimensional deprivations across 40 developing countries and is based on a methodology developed by Sehnbruch et al. (2020) and the Alkire/Foster method (2011).

This series of three public lectures is entitled ‘Knowledge and Achievement: Their Value, Nature, and Public Policy Role.

Professor Thomas Hurka is currently Chancellor Henry N. R. Jackman Distinguished Professor of Philosophical Studies at the University of Toronto. He gained a B.Phil. and D.Phil. in Philosophy at University of Oxford University, after a B.A. at the University of Toronto.

This series of three public lectures is entitled ‘Knowledge and Achievement: Their Value, Nature, and Public Policy Role.

Professor Thomas Hurka is currently Chancellor Henry N. R. Jackman Distinguished Professor of Philosophical Studies at the University of Toronto. He gained a B.Phil. and D.Phil. in Philosophy at University of Oxford University, after a B.A. at the University of Toronto.

This series of three public lectures is entitled 'Knowledge and Achievement: Their Value, Nature, and Public Policy Role.

Professor Thomas Hurka is currently Chancellor Henry N. R. Jackman Distinguished Professor of Philosophical Studies at the University of Toronto. He gained a B.Phil. and D.Phil. in Philosophy at University of Oxford University, after a B.A. at the University of Toronto.

Cases such as Cambridge Analytica or the use of AI by the Chinese government suggest that the use of artificial intelligence (AI) creates some risks for democracy. This paper analyzes these risks by using the concept of epistemic agency and argues that the use of AI risks to influence the formation and the revision of beliefs in at least three ways: the direct, intended manipulation of beliefs, the type of knowledge offered, and the creation and maintenance of epistemic bubbles. It then suggests some implications for research and policy.

Shallow cognizing is a familiar but overlooked practice of self-control, typically initiated without conscious intention, that enables us to short-circuit potential upwellings of emotion and desire in ourselves. We will consider the range of contexts in which the practice is manifest, speculate about its roots in the compartmentalized structure of our cognitive systems, ponder its benefits and costs (its uses and misuses), and contemplate its relation to virtue.