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Verlagsinfo: How have algorithmic systems and human practices developed in tandem since 1800? This volume of Osiris deftly addresses the question, dispelling along the way the traditional notion of algorithmic "code" and human "craft" as natural opposites. Instead, algorithms and humans have always acted in concert, depending on each other to advance new knowledge and produce social consequences. By shining light on alternative computational imaginaries, Beyond Craft and Code opens fresh space in which to understand algorithmic diversity, its governance, and even its conservation. The volume contains essays by experts in fields extending from early modern arithmetic to contemporary robotics. Traversing a range of cases and arguments that connect politics, historical epistemology, aesthetics, and artificial intelligence, the contributors collectively propose a novel vocabulary of concepts with which to think about how the history of science can contribute to understanding today's world. Ultimately, Beyond Craft and Code reconfigures the historiography of science and technology to suggest a new way to approach the questions posed by an algorithmic culture - not only improving our understanding of algorithmic pasts and futures but also unlocking our ability to better govern our present.

Fully updated throughout, and with a new chapter looking at regeneration and large scale schemes like the London 2012 Olympics, this is a new edition of a popular and well established book. It′s widely adopted across urban regeneration and planning courses, and is well thumbed by practitioners in the field too.

With increased and fully updated content and case study material, this edition continues to provide an engaging, systematic guide to the most dramatic transformation of our urban landscape since post-war reconstruction.

Word embedding models are a powerful approach for representing the multidimensional conceptual spaces within which communicated concepts relate, combine, and compete with one another. This class of models represent a recent advance in machine learning allowing scholars to efficiently encode complex systems of meaning with minimal semantic distortion based on local and global word co-occurrences from large-scale text data. Although their use has the potential to broaden theoretical possibilities within organization science, embeddings are largely unknown to organizational scholars, where known they have only been mobilized for a narrow set of uses, and they remain unlinked to a theoretical scaffolding that can enable cumulative theory building within the organizations community. Our goal is to demonstrate the promise embedding models hold for organization science by providing a practical roadmap for users to mobilize the methodology in their research and a theoretical guide for consumers of that research to evaluate and conceptually link embedded representations with theoretical significance and potential. We begin by explicitly defining the notions of concept and conceptual space before proceeding to show how these can be represented and measured with word embedding models, noting strengths and weaknesses of the approach. We then provide a set of embedding measurements along with their theoretical interpretation and flexible extension. Our aim is to extract the operational and conceptual significance from technical treatments of word embeddings and place them within a practical, theoretical framework to accelerate research committed to understanding how individuals, teams, and broader collectives represent, communicate, and deploy meaning in organizational life. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2023.1686 .

More of the social world lives within electronic text than ever before, from collective activity on the web, social media, and instant messaging to online transactions, government intelligence, and digitized libraries. This supply of text has elicited demand for natural language processing and machine learning tools to filter, search, and translate text into valuable data. We survey some of the most exciting computational approaches to text analysis, highlighting both supervised methods that extend old theories to new data and unsupervised techniques that discover hidden regularities worth theorizing. We then review recent research that uses these tools to develop social insight by exploring (a) collective attention and reasoning through the content of communication; (b) social relationships through the process of communication; and (c) social states, roles, and moves identified through heterogeneous signals within communication. We highlight social questions for which these advances could offer powerful new insight.

The increasing threat of climate change has created a pressing need for cities to lower their carbon footprints. Urban laboratories are emerging in numerous cities around the world as a strategy for local governments to partner with public and private property owners to reduce carbon emissions, while simultaneously stimulating economic growth. In this article, we use insights from laboratory studies to analyse the notion of urban laboratories as they relate to experimental governance, the carbonization agenda and the transition to low-carbon economies. We present a case study of the Oxford Road corridor in Manchester in the UK that is emerging as a low-carbon urban laboratory, with important policy implications for the city's future. The corridor is a bounded space where a public-private partnership comprised of the City Council, two universities and other large property owners is redeveloping the physical infrastructure and installing monitoring equipment to create a recursive feedback loop intended to facilitate adaptive learning. This low-carbon urban laboratory represents a classic sustainable development formula for coupling environmental protection with economic growth, using innovation and partnership as principal drivers. However, it also has significant implications in reworking the interplay of knowledge production and local governance, while reinforcing spatial differentiation and uneven participation in urban development. © 2013 Urban Research Publications Limited.

The increasing threat of climate change has created a pressing need for cities to lower their carbon footprints. Urban laboratories are emerging in numerous cities around the world as a strategy for local governments to partner with public and private property owners to reduce carbon emissions, while simultaneously stimulating economic growth. In this article, we use insights from laboratory studies to analyse the notion of urban laboratories as they relate to experimental governance, the carbonization agenda and the transition to low-carbon economies. We present a case study of the Oxford Road corridor in Manchester in the UK that is emerging as a low-carbon urban laboratory, with important policy implications for the city's future. The corridor is a bounded space where a public-private partnership comprised of the City Council, two universities and other large property owners is redeveloping the physical infrastructure and installing monitoring equipment to create a recursive feedback loop intended to facilitate adaptive learning. This low-carbon urban laboratory represents a classic sustainable development formula for coupling environmental protection with economic growth, using innovation and partnership as principal drivers. However, it also has significant implications in reworking the interplay of knowledge production and local governance, while reinforcing spatial differentiation and uneven participation in urban development. ; QC 20161110

The increasing threat of climate change has created a pressing need for cities to lower their carbon footprints. Urban laboratories are emerging in numerous cities around the world as a strategy for local governments to partner with public and private property owners to reduce carbon emissions, while simultaneously stimulating economic growth. In this article, we use insights from laboratory studies to analyse the notion of urban laboratories as they relate to experimental governance, the carbonization agenda and the transition to low-carbon economies. We present a case study of the Oxford Road corridor in Manchester in the UK that is emerging as a low-carbon urban laboratory, with important policy implications for the city's future. The corridor is a bounded space where a public-private partnership comprised of the City Council, two universities and other large property owners is redeveloping the physical infrastructure and installing monitoring equipment to create a recursive feedback loop intended to facilitate adaptive learning. This low-carbon urban laboratory represents a classic sustainable development formula for coupling environmental protection with economic growth, using innovation and partnership as principal drivers. However, it also has significant implications in reworking the interplay of knowledge production and local governance, while reinforcing spatial differentiation and uneven participation in urban development.

AbstractThe increasing threat of climate change has created a pressing need for cities to lower their carbon footprints. Urban laboratories are emerging in numerous cities around the world as a strategy for local governments to partner with public and private property owners to reduce carbon emissions, while simultaneously stimulating economic growth. In this article, we use insights from laboratory studies to analyse the notion of urban laboratories as they relate to experimental governance, the carbonization agenda and the transition to low‐carbon economies. We present a case study of the Oxford Road corridor in Manchester in the UK that is emerging as a low‐carbon urban laboratory, with important policy implications for the city's future. The corridor is a bounded space where a public‐private partnership comprised of the City Council, two universities and other large property owners is redeveloping the physical infrastructure and installing monitoring equipment to create a recursive feedback loop intended to facilitate adaptive learning. This low‐carbon urban laboratory represents a classic sustainable development formula for coupling environmental protection with economic growth, using innovation and partnership as principal drivers. However, it also has significant implications in reworking the interplay of knowledge production and local governance, while reinforcing spatial differentiation and uneven participation in urban development.

Interdisciplinarity is a notoriously difficult concept to define, and even harder to achieve in practice. All too often social approaches reduce science to an object of study, or conversely physical science approaches are invoked as a source of 'higher' truth. Drawing upon our experiences as ESRC-NERC PhD students within geography, we outline a paratactical approach that links disciplines by adjacency rather than hierarchy. Toppling the disciplinary hierarchy creates the potential for non-reductionistic dialogue between science and social science, but it also raises a series of practical difficulties. These are considered around the themes of polyvocality, breadth over depth and (im)permanence. We suggest that while this kind of approach is increasingly encouraged by research funding bodies, it is less easily sustained within the everyday mechanics of the academic world. © 2006 Elsevier Ltd. All rights reserved.