Capturing temporality and intentionality in information systems

Information modelling is a topic that has been researched a great deal, but still many questions around it have not been solved. An information model is essential in the design of a database which is the core of an information system. Currently most of databases only deal with information that represents facts, or asserted information. The ability of capturing semantic aspect has to be improved, and yet other types, such as temporal and intentional information, should be considered. Semantic Analysis, a method of information modelling, has offered a way to handle various aspects of information. It employs the domain knowledge and communication acts as sources of information modelling. It lends itself to a uniform structure whereby semantic, temporal and intentional information can be captured, which builds a sound foundation for building a semantic temporal database.

Urban tracer dispersion experiment in London (DAPPLE) 2003: field study and comparison with empirical prediction

The DAPPLE (Dispersion of Air Pollutants and their Penetration into the Local Environment) project seeks to characterise near-field urban atmospheric dispersion using a multidisciplinary approach. In this paper we report on the first tracer dispersion experiment carried out in May 2003. Results of concurrent meteorological measurements are presented. Variations of receptor tracer concentration with time are presented. Meteorological observations suggest that in-street channelling and flow-switching at intersections take place. A comparison between roof top and surface measurements suggest that rapid vertical mixing occurs, and a comparison between a simple dispersion model and maximum concentrations observed are presented

Urban tracer dispersion experiments during the second DAPPLE field campaign in London 2004

As part of the DAPPLE programme two large scale urban tracer experiments using multiple simultaneous releases of cyclic perfluoroalkanes from fixed location point sources was performed. The receptor concentrations along with relevant meteorological parameters measured are compared with a three screening dispersion models in order to best predict the decay of pollution sources with respect to distance. It is shown here that the simple dispersion models tested here can provide a reasonable upper bound estimate of the maximum concentrations measured with an empirical model derived from field observations and wind tunnel studies providing the best estimate. An indoor receptor was also used to assess indoor concentrations and their pertinence to commonly used evacuation procedures.

Envy, facts and justice: a critique of the treatment of envy in justice as fairness

A common anti-egalitarian argument is that equality is motivated by envy, or the desire to placate envy. In order to avoid this charge, John Rawls explicitly banishes envy from his original position. This article argues that this is an inconsistent and untenable position for Rawls, as he treats envy as if it were a fact of human psychology and believes that principles of justice should be based on such facts. Therefore envy should be known about in the original position. The consequences for Rawlsian theory—both substantive and methodological—are discussed.

Internal doubts about Cohen's Rescue of Justice

G.A. Cohen's Rescuing Justice and Equality is the culmination of twenty years' work on Rawls's theory of justice. In this paper I distinguish three prongs of attack advanced by Cohen, and show how two of the prongs (the claim that egalitarianism includes productive demands and the claim that equality is best understood as 'luck egalitarianism') are incompatible.

Should we be utopophobes about democracy in particular?

In his book Democratic Authority, David Estlund puts forward a case for democracy, which he labels epistemic proceduralism, that relies on democracy's ability to produce good – that is, substantively just – results. Alongside this case for democracy Estlund attacks what he labels ‘utopophobia’, an aversion to idealistic political theory. In this article I make two points. The first is a general point about what the correct level of ‘idealisation’ is in political theory. Various debates are emerging on this question and, to the extent that they are focused on ‘political theory’ as a whole, I argue, they are flawed. This is because there are different kinds of political concept, and they require different kinds of ideal. My second point is about democracy in particular. If we understand democracy as Estlund does, then we should see it as a problem-solving concept – the problem being that we need coercive institutions and rules, but we do not know what justice requires. As democracy is a response to a problem, we should not allow our theories of it, even at the ideal level, to be too idealised – they must be embedded in the nature of the problem they are to solve, and the beings that have it.

Extending the golden thread? Criminalisation and the presumption of innocence

It seems to be widely accepted that the presumption of innocence, and the attendant standard of 'beyond reasonable doubt' properly apply in the courtroom as a procedural principle directly grounded in the moral imperative to avoid punishing those who should not be punished. In this article I argue that if this is correct, then we ought be as careful about what we criminalise, as we are about who we punish, since people can be wrongfully punished by criminalisation errors as well as by conviction errors.