This article examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines. In particular, it critically explores new forms of empiricism that declare ‘the end of theory’, the creation of data-driven rather than knowledge-driven science, and the development of digital humanities and computational social sciences that propose radically different ways to make sense of culture, (...) history, economy and society. It is argued that: Big Data and new data analytics are disruptive innovations which are reconfiguring in many instances how research is conducted; and there is an urgent need for wider critical reflection within the academy on the epistemological implications of the unfolding data revolution, a task that has barely begun to be tackled despite the rapid changes in research practices presently taking place. After critically reviewing emerging epistemological positions, it is contended that a potentially fruitful approach would be the development of a situated, reflexive and contextually nuanced epistemology. (shrink)

Big Data has been variously defined in the literature. In the main, definitions suggest that Big Data possess a suite of key traits: volume, velocity and variety, but also exhaustivity, resolution, indexicality, relationality, extensionality and scalability. However, these definitions lack ontological clarity, with the term acting as an amorphous, catch-all label for a wide selection of data. In this paper, we consider the question ‘what makes Big Data, Big Data?’, applying Kitchin’s taxonomy of seven Big Data traits to 26 datasets (...) drawn from seven domains, each of which is considered in the literature to constitute Big Data. The results demonstrate that only a handful of datasets possess all seven traits, and some do not possess either volume and/or variety. Instead, there are multiple forms of Big Data. Our analysis reveals that the key definitional boundary markers are the traits of velocity and exhaustivity. We contend that Big Data as an analytical category needs to be unpacked, with the genus of Big Data further delineated and its various species identified. It is only through such ontological work that we will gain conceptual clarity about what constitutes Big Data, formulate how best to make sense of it, and identify how it might be best used to make sense of the world. (shrink)

To date, research examining the socio-spatial effects of smart city technologies have charted how they are reconfiguring the production of space, spatiality and mobility, and how urban space is governed, but have paid little attention to how the temporality of cities is being reshaped by systems and infrastructure that capture, process and act on real-time data. In this article, we map out the ways in which city-scale Internet of Things infrastructures, and their associated networks of sensors, meters, transponders, actuators and (...) algorithms, are used to measure, monitor and regulate the polymorphic temporal rhythms of urban life. Drawing on Lefebvre, and subsequent research, we employ rhythmanalysis in conjunction with Miyazaki’s notion of ‘algorhythm’ and nascent work on algorithmic governance, to develop a concept of ‘algorhythmic governance’. We then use this framing to make sense of two empirical case studies: a traffic management system and sound monitoring and modelling. Our analysis reveals: how smart city technologies computationally perform rhythmanalysis and undertake rhythm-making that intervenes in space-time processes; distinct forms of algorhythmic governance, varying on the basis of adaptiveness, immediacy of action, and whether humans are in-, on-, or, off-the-loop; and a number of factors that shape how algorhythmic governance works in practice. (shrink)

`It is a safe bet that Key Thinkers will emerge as something of a 'hit' within the undergraduate community and will rise to prominance as a 'must buy' -Environment and Planning `Key Thinkers on Space and Place is an engagingly written, well-researched and very accessible book. It will surely prove an invaluable tool for students, whom I would strongly encourage to purchase this edited collection as one of the best guides to recent geographical thought' -Claudio Minca, University of Newcastle `Key (...) Thinkers is the best encyclopedic tool for human geographers since the Dictionary of Human Geography. It takes into its orbit discussions of the lives and work of the last three decades' major thinkers on space and place. It is hugely useful for students who want an easy way to access the roots of where some major themes and debates in contemporary geography. It is organized so that each chapter details the scholar's biography, their contribution to spatial and place-based theory and the controversies that arise through their work' - Stuart Aitken, San Diego State University Key Thinkers on Space and Place is a comprehensive guide to the latest work on space. Each entry is a short interpretative essay of 2,500 words, outlining the contributions made by the key theorists, and comprises: · a concise biography, indicating disciplinary background, career trajectory and collaboration with others · an outline of the key theoretical, conceptual and methodological ideas each has introduced to human geography · an explanation of the reaction to, and uptake of, how these ideas has changed and evolved over time · an explanation of how these theories have been used and critiqued by human geographers · a selective bibliography of each thinker's key publications (and key secondary publications) The text is introduced by a contextual essay which outlines in general terms the shifting ways in which space and place have been theorised and which explains how Key Thinkers on Space and Place can be used. A glossary that defines key traditions, with cross-links to key theorists and a timeline of key article/book publication date is also included. (shrink)

During the last 3 years the interface between geography and nursing has provided fertile ground for research. Not only has a conceptual emphasis on space and place provided nurse researchers with a robust and subtly different way to deconstruct and articulate nursing environments, but also their studies have provided a much needed focus on certain areas of health‐care, and in particular clinical practice, not currently prioritized by health geographers. We argue that, as something that is forcing fundamental re‐considerations of the (...) nature of both nursing and geography, cyberspace is a particularly important phenomenon that lies comparatively under‐researched at this interface. To encourage some interest in researching nursing and cyberspace through a geographical lens, and at least to showcase a range of potentially useful and transportable concepts, we provide an overview of some of the key debates pertaining to cyberspace developed by human geographers, and make some initial and tentative connections to nursing. (shrink)

Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative data. The production of these data has prompted the development of exploratory data-driven computing experiments that seek to find ways to extract value and insight from them. These projects often start from the data, rather than from a question or theory, and try to imagine and identify their potential (...) utility. In this paper, we explore the desires and mechanics of data-driven computing experiments. We demonstrate how both locative media data and computing experiments are ‘staged’ to create new values and computing techniques, which in turn are used to try and derive possible futures that are ridden with unintended consequences. We argue that using computing experiments to imagine potential urban futures produces effects that often have little to do with creating new urban practices. Instead, these experiments promote Big Data science and the prospect that data produced for one purpose can be recast for another and act as alternative mechanisms of envisioning urban futures. (shrink)