The limits of hybridity and the crisis of liberal peace

Hybridity has emerged recently as a key response in International Relations and peace studies to the crisis of liberal peace. Attributing the failures of liberal peacebuilding to a lack of legitimacy deriving from uncompromising efforts to impose a rigid market democratic state model on diverse populations emerging from conflict, the hybrid peace approach locates the possibility of a ‘radical’, post-liberal, and emancipatory peace in the agency of the local and the everyday and ‘hybrid’ formations of international/liberal and local/non-liberal institutions, practices, and values. However, this article argues, hybrid peace, emerging as an attempt to resolve a problem of difference and alterity specific to the context in which the crisis of liberal peacebuilding manifests, is a problem-solving tool for the encompassment and folding into globalising liberal order of cultural, political, and social orders perceived as radically different and obstructionist to its expansion. Deployed at the very point this expansion is beset by resistance and crisis, hybrid peace reproduces the liberal peace's logics of inclusion and exclusion, and through a reconfiguration of the international interface with resistant ‘local’ orders, intensifies the governmental and biopolitical reach of liberal peace for their containment, transformation, and assimilation

Evolution of Cooperation in Mobile Populations

We consider a finite, fixed-size population of mobile cooperators and free-riders. A cooperator is an individual who, at a cost to itself, provides benefits to any and all individuals in its vicinity, whereas a free-rider does not provide any benefits and thus pays no cost. Individuals are free to move to maximize their payoff, and our model allows for the interactions among multiple individuals at the same time. Using Gillespie\u27s algorithm, we build an exact stochastic simulation of this continuous-time Markov process and find that decreasing the individuals\u27 mobility or decreasing the size of the interaction neighborhood promotes the fixation of cooperators in the population

Development of a stochastic computational fluid dynamics approach for offshore wind farms

In this paper, a method for stochastic analysis of an offshore wind farm using computational fluid dynamics (CFD) is proposed. An existing offshore wind farm is modelled using a steady-state CFD solver at several deterministic input ranges and an approximation model is trained on the CFD results. The approximation model is then used in a Monte-Carlo analysis to build joint probability distributions for values of interest within the wind farm. The results are compared with real measurements obtained from the existing wind farm to quantify the accuracy of the predictions. It is shown that this method works well for the relatively simple problem considered in this study and has potential to be used in more complex situations where an existing analytical method is either insufficient or unable to make a good prediction

GSM mobility management using an intelligent network platform

PhDAbstract not availabl