Law’s spatial turn: geography, justice and a certain fear of space

This is a critical reading of the current literature on law and geography. The article argues that the literature is characterized by an undertheorization of the concept of space. The focus is either on the specific geography of law in the form of jurisdiction, or as a simple terminological innovation. Instead, the article suggests that law’s spatial turn ought to consider space as a singular parameter to the hitherto legal preoccupation with time, history and waiting. This forces law into dealing with a new, peculiarly spatial kind of uncertainty in terms of simultaneity, disorientation, materiality and exclusionary corporeal emplacement. The main area in which this undertheorization forcefully manifests itself is that of spatial justice. Despite its critical potential, the concept has been reduced by the majority of the relevant literature into another version of social, distributive or regional justice. On the contrary, if the peculiar characteristics of space are to be taken into account, a concept of justice will have to be rethought on a much more fundamental level than that.

Supporting dynamic parameter sweep applications in workflows: lessons learnt from the CancerGrid project

A vast majority of scientific grid applications are either parameter sweep applications or a significant subpart of these applications belong to class of parameter sweep activities. The paper describes a new graphical workflow language in which any node of the DAG-based workflow can be a parameter sweep node and the execution of these nodes are transparently executed either in service grids or in desktop grids depending on the computational complexity of the workflow node. The new concept is supported by the CancerGrid portal that has been established for a chemist community.

The Impact of Uncertainty Shocks under Measurement Error: A Proxy SVAR approach

A growing literature considers the impact of uncertainty using SVAR models that include proxies for uncertainty shocks as endogenous variables. In this paper we consider the impact of measurement error in these proxies on the estimated impulse responses. We show via a Monte-Carlo experiment that measurement error can result in attenuation bias in impulse responses. In contrast, the proxy SVAR that uses the uncertainty shock proxy as an instrument does not su¤er from this bias. Applying this latter method to the Bloom (2009) data-set results in impulse responses to uncertainty shocks that are larger in magnitude and more persistent than those obtained from a recursive SVAR.