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The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

Purpose: This chapter investigates how researchers assemble market research test towns as hybrid sociotechnical arrangements. Researchers use various strategies in order to purify such hybrids into simplified representations of a fetishized imaginary, namely the average consumer.

Methodology/approach: The chapter is based on an analysis of secondary sources such as company documents. Theoretically, it draws on the concept of consumption assemblages and on anthropological theories of fetish.

Findings: Fetishization is a powerful way for both researchers and their clients to purify the hybrid assemblages they are part of into easily digestible categories such as “the real” and “the average.” In that process, the test town and its consumers emerge as a fetish that allows corporate clients to alleviate decision-making anxiety. Because of the nature of fetish, purification as a process remains incomplete.

Research Implications: These findings call for more social studies of market research as a set of practices that shape the identities of those who do the testing and forecasting. This chapter thus opens up test marketing and so-called test towns in particular as a field for consumer culture theory research.

Originality/value: This chapter provides insights into how market research creates test sites to simulate purchase behavior and pre-test consumer products. This chapter maps how different groups of actors and different technologies are enrolled in order to enact an ideal-type consumer averageness on an ongoing basis in a particular test town.

Neuroscientific technologies have begun to change the ways in which we understand, respond to, and treat drug addiction. According to addiction researchers, neuroscience marks a new era because of its potential to locate the causes of addiction within the brain and to treat addiction through altering neurochemistry. However, little is known about how addiction neuroscience and new neurochemical treatments shape individuals' experience of addiction and constitute new arrangements of knowledge and power that shape subjectivity and governance. This chapter addresses these domains by drawing on an analysis of scientific literature about addiction neuroscience and qualitative interviews with people being treated for addiction with buprenorphine, a pharmaceutical treatment for opioid dependence. The chapter charts four major themes in the addiction neuroscience literature (pleasure and the limbic system, rationality and the role of the prefrontal cortex, theories of plasticity, and the role of volition) and explores how each of these is incorporated, adapted, or rejected by individuals being treated for addiction with a pharmaceutical. This analysis demonstrates how neuroscientific ideas are mediated by the lived experiences of those being treated under a neuroscientific model. It also suggests that while neuroscientific interventions, like pharmaceuticals, shape the experience of those being treated for addiction, so too do many other forces, including social circumstances, moral frameworks, the drive for autonomy, and the quest to be “normal.”

The digital technological revolution offers new ways for classrooms to operate and challenges the concept of whether brick and mortar schools should exist at all. At the same time, the changes to society as we move from a knowledge-based economy to an intelligent and innovation-based economy challenges us to reassess the purpose of education. This chapter investigates an overarching counterfactual question, “What if compulsory schooling was invented in the twenty-first century”? We used a foresight methodology, based on “anticipation,” to conceptualize possible models for a future system of compulsory schooling arising from an analysis of contemporary catalysts for remodeling. While anticipation does not predict the future, the concept is that when a current system and a model of a system interplay, they impact each other to change both the present as well as possible futures. The design principles of cities, such as Freiburg (Germany), Poundbury (England), and Christie Walk (Australia), which have been developed around the idea of ecologically sustainable and decentralized cities, are focused on approaches to living that can provide a springboard for exploring the impact of changing employment, economic, technological, and social change on future schooling models. Magnetic Resonance Imaging (MRI) has opened up a new field of study to investigate neuroscience, which can inform teaching practice. Postmodern and indigenous ways of thinking provide different insights about how schooling might be reconceptualized. Alternative models of future schooling are conceptualized about (i) the role of the learner and teacher, (ii) design of a school, and (iii) the purpose of compulsory schooling. For each area of remodeling, deviations to current practices as well as paradigm shifts are framed as part of scenario building. Related questions include: how schooling might be different if it had been created today for the first time? How might it better meet the needs of contemporary society? What aspects of schooling now might be lost if it was only invented in the twenty-first century? What are possible side effects from any change ideas as part of research practice? A vital aspect of this chapter is to explore the concept of learning as a general concept versus the more specific concept of schooling. We are at the precipice of a new vision of schooling based on a counterfactual way of thinking about the future of schooling as we have known it in the West.

This chapter reviews graphical modeling techniques for estimating large covariance matrices and their inverse. The chapter provides a selective survey of different models and estimators proposed by the graphical modeling literature and offers some practical examples where these methods could be applied in the area of health economics.