An exploration of the development of academic identity in a School of Education

This paper explores the complex processes involved in the self-construction of academic identity in a UK School of Education. Building on seminal literature in this field and drawing on the research of four academics, it begins by discussing teacher educators’ varying perceptions of the need to re-configure their identity to meet the expectations of a twenty-first-century higher education workforce. The article proposes the formation of this identity to be a dynamic, career-long process. Diverse scaffolds for the development process are proposed, including opportunities for new teacher educators to be apprenticed into an aca- demic role, the centrality of communities of practice and the importance of the 15 supported development of academic skills such as writing for publication.Peer reviewe

A GPI-Based Critique of The Economic Profile of the Lower Mississippi River: an Update

The Genuine Progress Indicator, or GPI, is an alternative economic indicator that seeks to measure net economic welfare—the economic welfare that is gained by economic activity after the costs of producing that welfare (such as the costs of air pollution, water pollution, resource depletion, climate change, and the like) are deducted. From a GPI perspective, the economy of the Lower Mississippi River Corridor is not nearly as robust as traditional modes of economic analysis would suggest. There are clear paths to increasing GPI (and human economic wellbeing) that have implications for environmental, economic and river-management policy

Restructuring and rescaling water governance in mining contexts: the co-production of waterscapes in Peru

The governance of water resources is prominent in both water policy agendas and academic scholarship. Political ecologists have made important advances in reconceptualising the relationship between water and society. Yet, while they have stressed both the scalar dimensions, and the politicised nature, of water governance, analyses of its scalar politics are relatively nascent. In this paper, we consider how the increased demand for water resources by the growing mining industry in Peru reconfigures and rescales water governance. In Peru, the mining industry’s thirst for water draws in, and reshapes, social relations, technologies, institutions and discourses that operate over varying spatial and temporal scales. We develop the concept of waterscape to examine these multiple ways in water is co-produced through mining, and become embedded in changing modes and structures of water governance, often beyond the watershed scale. We argue that an examination of waterscapes avoids the limitations of thinking about water in purely material terms, structuring analysis of water issues according to traditional spatial scales and institutional hierarchies, and taking these scales and structures for granted

Beyond GDP: the need for new measures of progress

This repository item contains a single issue of The Pardee Papers, a series papers that began publishing in 2008 by the Boston University Frederick S. Pardee Center for the Study of the Longer-Range Future. The Pardee Papers series features working papers by Pardee Center Fellows and other invited authors. Papers in this series explore current and future challenges by anticipating the pathways to human progress, human development, and human well-being. This series includes papers on a wide range of topics, with a special emphasis on interdisciplinary perspectives and a development orientation.This paper is a call for better indicators of human well-being in nations around the world. We critique the inappropriate use of Gross Domestic Product (GDP) as a measure of national well-being, something for which it was never designed. We also question the idea that economic growth is always synonymous with improved well-being. Useful measures of progress and well-being must be measures of the degree to which society’s goals (i.e., to sustainably provide basic human needs for food, shelter, freedom, participation, etc.) are met, rather than measures of the mere volume of marketed economic activity, which is only one means to that end. Various alternatives and complements to GDP are discussed in terms of their motives, objectives, and limitations. Some of these are revised measures of economic activity while others measure changes in community capital—natural, social, human, and built—in an attempt to measure the extent to which development is using up the principle of community capital rather than living off its interest. We conclude that much useful work has been done; many of the alternative indicators have been used successfully in various levels of community planning. But the continued misuse of GDP as a measure of well-being necessitates an immediate, aggressive, and ongoing campaign to change the indicators that decision makers are using to guide policies and evaluate progress. We need indicators that promote truly sustainable development—development that improves the quality of human life while living within the carrying capacity of the supporting ecosystems. We end with a call for consensus on appropriate new measures of progress toward this new social goal

The Mole & The Snake

This article starts from the Foucaultanian notions of biopower and discipline, deal- ing with the strategies of the modern and contemporary capitalism. Introducing the term biopower into his research, Foucault is alluding to a series of transformations re- lated to the capitalist system: life enters into the scope of power in terms of \u201ccontrolled insertion of bodies\u201d in the social apparatus of production, as well as in terms of an \u201cadaptation of population phenomena to economic processes\u201d. It involves the exchange of services on which the Fordist social pact was founded in the twentieth century. The life that is claimed in and against the relationship of capital concerns \u201cneeds\u201d that refer to a \u201cconcrete essence of man\u201d. In the undeniable awareness of a \u201ctriangulation\u201d between sovereignty, discipline and biopower, the author, as a criterion for reading the dynamics of contemporary power, analyzes the theme of control referring to Deleuze. This is de- lineated in the double form of \u201cbiopolitical algorithms\u201d and of the normalization that by means of the selection and targeted processing of big data and information packages, incessantly produced by social activity in and on the network, capture forms of life at the service of capitalism

Shared Value in Emerging Markets: How Multinational Corporations Are Redefining Business Strategies to Reach Poor or Vulnerable Populations

This report illuminates the enormous opportunities in emerging markets for companies to drive competitive advantage and sustainable impact at scale. It identifies how over 30 companies across multiple sectors and geographies design and measure business strategies that also improve the lives of underserved individuals

Dimension Reduction by Mutual Information Discriminant Analysis

In the past few decades, researchers have proposed many discriminant analysis (DA) algorithms for the study of high-dimensional data in a variety of problems. Most DA algorithms for feature extraction are based on transformations that simultaneously maximize the between-class scatter and minimize the withinclass scatter matrices. This paper presents a novel DA algorithm for feature extraction using mutual information (MI). However, it is not always easy to obtain an accurate estimation for high-dimensional MI. In this paper, we propose an efficient method for feature extraction that is based on one-dimensional MI estimations. We will refer to this algorithm as mutual information discriminant analysis (MIDA). The performance of this proposed method was evaluated using UCI databases. The results indicate that MIDA provides robust performance over different data sets with different characteristics and that MIDA always performs better than, or at least comparable to, the best performing algorithms.Comment: 13pages, 3 tables, International Journal of Artificial Intelligence & Application