Society

What is the nature of our current societies? Do we see a clash of civilizations, or the end of history? The advent of globalization, or the birth of the network society? Are we witnessing the emergence of a risk society, or the advent of the knowledge society? More fundamentally, is ‘society’ an ideological construct that should be abandoned? Coming into English from the Latin term ‘societas’ via Old French ‘société’, the etymology of ‘society,’ in the sense of a system adopted by a group of co-existing individuals for mutually beneficial purposes, can be traced back at least to the mid-sixteenth century. By the Age of Enlightenment, ‘society’ was increasingly used in intellectual discourse to characterize human relations, often in contrast to notions of ‘the state’. During the nineteenth century, the concept was subject to highly elaborate treatment in various intellectual fields, such as political economy, philosophy, and legal thought; and ‘society’ continues to be a central conceptual tool, not only for sociology, but also for many other social-science disciplines, such as anthropology, economics, political sciences, and law. The notion resonates beyond the social sciences into the humanities; it is a fundamental concept, like nature, the universe, or the economy. Moreover, ‘society’ remains a highly contested concept, as was demonstrated, for example, by the controversy surrounding the former British prime minister Margaret Thatcher’s pithy assertion of the neoliberal economic wisdom that ‘there is no such thing as society’ (Woman’s Own, 31 October 1987); and by the term’s rehabilitation at the turn of the twenty-first century, not least with the ascendancy of the notion of ‘civil society’. This four-volume collection, a new title in the Routledge Critical Concepts in Sociology series, brings together both canonical and the best cutting-edge research to document the intellectual origins and development of what remains a key framework within which contemporary work in the social sciences in general, and sociology in particular, proceeds. Edited by Reiner Grundmann and Nico Stehr, two leading scholars in the field, this Routledge Major Work makes available the most useful, important and representative treatments of the subject matter, and helps to make sense of the great variety of perspectives and approaches in which social scientists and other thinkers have understood, and continue to understand, society. Fully indexed and with a comprehensive introduction newly written by the editors, which places the collected material in its historical and intellectual context, Society is an essential reference work, destined to be valued by scholars and students as a vital research resource.

Who is really in charge of contemporary education? People and technologies in, against and beyond the neoliberal university

This article reflects on the position of people in, against and beyond information and communication technologies. Firstly, using Jandrić and Kuzmanić’s work on digital postcolonialism, Raymond Williams's work on residual and emergent cultures, and Deleuze and Guattari's insights into the dynamics between territorialization, de-territorialization and re-territorialization, it develops a theoretical framework for inquiry into the hybrid identity of the contemporary university. Then, through critical discourse analysis (CDA), the article moves on to analyse the ways in which technology discourse resides in the dominating ideology of technological determinism and co-opts with neoliberal agendas by omitting humans from explicit mention in UK policy documents. It shows that true counter-hegemonic practice against dominating social practices is possible only through reinvigorating the central position of human beings in regards to information and communication technologies. Within the developed theoretical framework, it seeks openings to intervene subversively into current relationships between technologies, people, and (higher) education, and to identify opportunities for building a non-determinist identity of the contemporary university that reaches beyond the single-minded logic of techno-scientific development. In the process, it situates Paulo Freire's insights into critical pedagogy in the context of the network society, and places the relationships between human beings, language and information and communication technologies amongst central questions of today's (higher) education and society at large.

Deschooling society? A lifelong learning network for sustainable communities, urban regeneration and environmental technologies

The complexity and multifaceted nature of sustainable lifelong learning can be effectively addressed by a broad network of providers working co-operatively and collaboratively. Such a network involving the third, public and private sector bodies must realise the full potential of accredited flexible and blended formal learning, contextual opportunities offered by enablers of informal and non formal learning and the affordances derived from the various loose and open spaces that can make social learning effective. Such a conception informs the new Lifelong Learning Network Consortium on Sustainable Communities, Urban Regeneration and Environmental Technologies established and led by the Lifelong Learning Centre at Aston University. This paper offers a radical, reflective and political evaluation of its first year in development arguing that networked learning of this type could prefigure a new model for lifelong learning and sustainable education that renders the city itself a creative medium for transformative learning and sustainability.

Neural network regression with input uncertainty

It is generally assumed when using Bayesian inference methods for neural networks that the input data contains no noise or corruption. For real-world (errors in variable) problems this is clearly an unsafe assumption. This paper presents a Bayesian neural network framework which allows for input noise given that some model of the noise process exists. In the limit where this noise process is small and symmetric it is shown, using the Laplace approximation, that there is an additional term to the usual Bayesian error bar which depends on the variance of the input noise process. Further, by treating the true (noiseless) input as a hidden variable and sampling this jointly with the network's weights, using Markov Chain Monte Carlo methods, it is demonstrated that it is possible to infer the unbiassed regression over the noiseless input.

When cost-efficient technologies meet politics:a case study of radical wireless network implementation

Cost efficiency has been a dominant perspective in the traditional IT literature. However, in complex technology and business environment, the widely recognized cost efficient assumption of information technology has been increasingly challenged. Drawing from a case study of wireless network implementation situated in a politically sensitive workplace, this paper provided practice insights for IT managers in today’s networked economy. More specifically, stories experienced in the case study illustrated that despite well-calculated cost efficiency of wireless network infrastructure, the radical implementation process in the case organization encountered enormous challenges and opposition due to the fact that administrators failed to consider various stakeholders’ positions and interests. Eventually, the implementation objectives and outcome were considerably undermined. Implications from this empirical case research reemphasized the significance of understanding political forces situated in any business environment where different stakeholders hold conflicting interests. Lessons learned from the case story further encouraged IT managers and policy makers to better strategize emerging information technology in general and wireless networks in particular as the whole global society and business environment are increasingly facing an emerging wireless world.

Synthesis of gold nanoparticles within a supramolecular gel-phase network

Gold nanoparticles with diameters of ca. 13 nm were synthesised by UV irradiation of a supramolecular organogel into which HAuCl4 and tetraoctylammonium bromide had been diffused—the gel network plays an essential role in nanoparticle stabilisation. © The Royal Society of Chemistry 2005.

High speed and high resolution demodulation system for hybrid WDM/FDM based fiber microstructure sensor network by using Fabry-Perot filter

Hybrid WDM/TDM enabled microstructure based optical fiber sensor network with large capacity is proposed. Assisted by Fabry-Perot filter, the demodulation system with high speed of 500Hz and high wavelength resolution less than 4.91pm is realized. © OSA 2015.

Experimental comparison of artificial neural network and volterra based nonlinear equalization for CO-OFDM

A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing ∼1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE.