This paper examines one of the historical antecedents of Big Data, the social physics movement. Its origins are in the scientific revolution of the 17th century in Western Europe. But it is not named as such until the middle of the 19th century, and not formally institutionalized until another hundred years later when it is associated with work by George Zipf and John Stewart. Social physics is marked by the belief that large-scale statistical measurement of social variables reveals underlying relational (...) patterns that can be explained by theories and laws found in natural science, and physics in particular. This larger epistemological position is known as monism, the idea that there is only one set of principles that applies to the explanation of both natural and social worlds. Social physics entered geography through the work of the mid-20th-century geographer William Warntz, who developed his own spatial version called “macrogeography.” It involved the computation of large data sets, made ever easier with the contemporaneous development of the computer, joined with the gravitational potential model. Our argument is that Warntz's concerns with numeracy, large data sets, machine-based computing power, relatively simple mathematical formulas drawn from natural science, and an isomorphism between natural and social worlds became grounds on which Big Data later staked its claim to knowledge; it is a past that has not yet passed. (shrink)

We posit a model of emotion and nonverbal behavior (NVB) that incorporates a perspective of consciousness. We leverage an understanding of the neural pathways innervating NVB to describe the complexity of its neural architecture and the links between those pathways and mental states. We suggest that all NVB are activated by both cortical and subcortical structures, allowing for unconscious, coordinated movements across multiple channels as well as conscious, less coordinated movements; that mental states are associated with both cortical and subcortical (...) structures; and thus that NVB will occur in multiple channels, both unconsciously and consciously, and differ across time. We discuss the implications of this model for future theory and research. (shrink)

This chapter looks at the pervasiveness of ethical discourses and analyses within anarchism, and how the priority given to moral evaluation distinguished it from rival revolutionary movements, such as orthodox Marxism. It traces the different meta-ethical positions and normative formulations found within anarchist traditions. It argues that a practice-based anti-hierarchical virtue ethics is most consistent with anarchist core commitments to materialism, anti-universalism and social solidarity.

Historians of modern design and sociology have shown little interest in the leaders of the ever resourceful and influential British Positivist Society. One of the aims of this essay is to show that the Positivist polymath Frederic Harrison (1831–1923) cultivated ideas and practices that are compatible with modernists’ aspirations to improve the lives of the masses. It is accordingly shown that Harrison was an ardent supporter of working-class causes and that on this basis he developed sociological survey methods and produced (...) social programmes to initiate the comprehensive reorganisation of cities. Harrison intended to realise a modern utopia called the “Occidental Republic”, created by Auguste Comte, the Positivist Philosopher who – during the 1830 and 1840s – introduced both sociology and the Religion of Humanity. While many studies pore over the Positivists’ “church” rituals, this essay is the first to argue that the Religion of Humanity and sociology were of equal consequence – and that together they formed the basis of their controversial spatial theory and practice, which was considered the means to realise Comte’s utopia. This vision, it is argued, is central to appreciating how Positivism percolated into the “modern movements” of architecture and planning. (shrink)

Economic theory assumes that preferences are rational. However, experiments have found small violations of transitivity. This paper develops a model of rationality with preference discovery costs. Introspection is costly. Thus, agents may find it optimal to use less than full effort, even though this raises the risk of making a poor choice. This model could potentially explain the intransitivities observed in the data while retaining rationality and optimization.