The UN Security Council and the question of humanitarian intervention in Darfur

This article explores the different moral and legal arguments used by protagonists in the debate about whether or not to conduct a humanitarian intervention in Darfur. The first section briefly outlines four moral and legal positions on whether there is (and should be) a right and/or duty of humanitarian intervention: communitarianism, restrictionist and counter-restrictionist legal positivism and liberal cosmopolitanism. The second section then provides an overview of the Security Council's debate about responding to Darfur's crisis, showing how its policy was influenced by both normative concerns and hard-nosed political calculations. The article concludes by asking what Darfur's case reveals about the legitimacy and likelihood of humanitarian intervention in such catastrophes and the role of the UN Security Council as the primary authorising body for the use of international force. The authors argue that this case demonstrates that for the cosmopolitan/counter-restrictionist case to prevail pivotal states need to put humanitarian emergencies on the global agenda and express a willingness to act without Council authorisation, though the question of how to proceed in cases where the Council is deadlocked remains vexed.

Advanced computing for systems biology

Systems biology is based on computational modelling and simulation of large networks of interacting components. Models may be intended to capture processes, mechanisms, components and interactions at different levels of fidelity. Input data are often large and geographically disperse, and may require the computation to be moved to the data, not vice versa. In addition, complex system-level problems require collaboration across institutions and disciplines. Grid computing can offer robust, scaleable solutions for distributed data, compute and expertise. We illustrate some of the range of computational and data requirements in systems biology with three case studies: one requiring large computation but small data (orthologue mapping in comparative genomics), a second involving complex terabyte data (the Visible Cell project) and a third that is both computationally and data-intensive (simulations at multiple temporal and spatial scales). Authentication, authorisation and audit systems are currently not well scalable and may present bottlenecks for distributed collaboration particularly where outcomes may be commercialised. Challenges remain in providing lightweight standards to facilitate the penetration of robust, scalable grid-type computing into diverse user communities to meet the evolving demands of systems biology.