74,310 research outputs found

    A Cosmopolitan response to the 'war on terror'

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    This article explores the relevance and the significance of cosmopolitanism as an approach to understanding the ‘war on terror’. The article details how cosmopolitanism affords a perspective through which it is possible to critique and deconstruct the ‘war on terror’ and create narratives which include the impact of harmful state practices. The facets of cosmopolitanism which make it relevant to the ‘war on terror’ include its emphasis on justice and human rights. It also accounts for interactions between the global level and the local level, which are necessary to understanding the contemporary discourses of securitization and deviancy which are prominent in the ‘war on terror’. Through discussing the value of cosmopolitanism, and its concepts of human rights, equality, humanity, ethics, responsibility and justice, the article demonstrates how although the ‘war on terror’ has been constructed to defend and uphold such values, it has eroded these very values and in doing so, it facilitates the radicalization process

    Sato-Crutchfield formulation for some Evolutionary Games

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    The Sato-Crutchfield equations are studied analytically and numerically. The Sato-Crutchfield formulation is corresponding to losing memory. Then Sato-Crutchfield formulation is applied for some different types of games including hawk-dove, prisoner's dilemma and the battle of the sexes games. The Sato-Crutchfield formulation is found not to affect the evolutionarily stable strategy of the ordinary games. But choosing a strategy becomes purely random independent on the previous experiences, initial conditions, and the rules of the game itself. Sato-Crutchfield formulation for the prisoner's dilemma game can be considered as a theoretical explanation for the existence of cooperation in a population of defectors.Comment: 9 pages, 3 figures, accepted for Int. J. Mod. Phys.

    Social media for student learning: enhancing the student experience and promoting deep learning

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    Traditional Peer Assisted Learning (PAL) was introduced as a retention-motivated initiative in the College of Science and Engineering 5 years ago. Despite a high level of interest from students, there were several practical barriers that prevented many students from attending these sessions. As an alternative, an online space for Virtual Peer Assisted Learning (VPAL) was trialled. VPAL was found to have not only all the benefits of traditional PAL but also more that had not been anticipated. In this paper we will discuss the practicalities involved and the design choices that had to be made. We will also showcase some anonymised examples of academic and social dialogue between peers and outline some of the unexpected advantages of using VPAL over traditional PAL

    Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce

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    The kernel kk-means is an effective method for data clustering which extends the commonly-used kk-means algorithm to work on a similarity matrix over complex data structures. The kernel kk-means algorithm is however computationally very complex as it requires the complete data matrix to be calculated and stored. Further, the kernelized nature of the kernel kk-means algorithm hinders the parallelization of its computations on modern infrastructures for distributed computing. In this paper, we are defining a family of kernel-based low-dimensional embeddings that allows for scaling kernel kk-means on MapReduce via an efficient and unified parallelization strategy. Afterwards, we propose two methods for low-dimensional embedding that adhere to our definition of the embedding family. Exploiting the proposed parallelization strategy, we present two scalable MapReduce algorithms for kernel kk-means. We demonstrate the effectiveness and efficiency of the proposed algorithms through an empirical evaluation on benchmark data sets.Comment: Appears in Proceedings of the SIAM International Conference on Data Mining (SDM), 201

    The Road Not Taken - What Is The “Appropriate” Path to Development When Growth is Unbalanced?

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    This paper develops a model that endogenizes both directed technologies and demography. Potential innovators decide which technologies to develop after considering available factors of production, and individuals decide the quality and quantity of their children after considering available technologies. This interaction allows us to evaluate potentially divergent development paths. We nd that exogenous unskilled-labor biased technological growth can induce higher fertility and lower education, inhibiting overall growth in per person income. However, if technical progress is locally endogenous, increases in the overall workforce caused by unskilled intensive technological progress can make R&D more protable; this can actually induce more income growth can the alternative, skill-intensive path.

    The Appropriate Technology Frontier - Lessons for the Developing World

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    This paper presents a model of a developing economy that endogenizes both technological biases and demographic trends. As knowledge diffuses from foreign R&D-producing regions, potential innovators decide which technologies to develop after considering available factors of production, and individuals decide the quality and quantity of their children after considering available technologies. This interaction creates multiple growth paths- some economies develop labor-intensive techniques and expand the pool of unskilled labor; others grow into societies of highly skilled individuals and expanding outputs per capita. I find that if developing countries wish to achieve good prospects for income convergence, they should promote the flow of knowledge from the most developed regions, even if this results initially in a technology-skill mismatch. Such knowledge flows are more likely to promote the twin growths in human capital and technologies characteristic of the biggest economic success stories.