An in-depth look at life in the “smart” city Technology has fundamentally transformed urban life. But today’s “smart” cities look little like what experts had predicted. Aaron Shapiro shows us the true face of the revolution in urban technology, taking the reader on a tour of today’s smart city. Along the way, he develops a new lens for interpreting urban technologies—logistical governance—to critique an urban future based on extraction and rationalization. Through ethnographic research, journalistic interviews, and his own hands-on experience, Shapiro helps us peer through cracks in the smart city’s facade. He investigates the true price New Yorkers pay for “free,” ad-funded WiFi, finding that it ultimately serves the ends of commercial media. He also builds on his experience as a bike courier for a food delivery startup to examine how promises of “flexible employment” in the gig economy in fact pave the way for strict managerial control. And he turns his eye toward hot-button debates around police violence and new patrol technologies, asking whether algorithms are really the answer to reforming our cities’ ongoing crises of criminal justice. Through these gripping accounts of the new technological urbanism, Design, Control, Predict makes vital contributions to conversations around data privacy and algorithmic governance. Shapiro brings much-needed empirical research to a field that has often relied on “10,000-foot views.” Timely, important, and expertly researched, Design, Control, Predict doesn’t just help us comprehend urbanism today—it advances strategies for critiquing and resisting a dystopian future that can seem inevitable.

At the core of the many debates throughout cognitive science concerning how decisions are made are the processes governing the time course of preference formation and decision. From perceptual choices, such as whether the signal on a radar screen indicates an enemy missile or a spot on a CT scan indicates a tumor, to cognitive value-based decisions, such as selecting an agreeable flatmate or deciding the guilt of a defendant, significant and everyday decisions are dynamic over time. Phenomena such as decoy effects, preference reversals and order effects are still puzzling researchers. For example, in a legal context, jurors receive discrete pieces of evidence in sequence, and must integrate these pieces together to reach a singular verdict. From a standard Bayesian viewpoint the order in which people receive the evidence should not influence their final decision, and yet order effects seem a robust empirical phenomena in many decision contexts. Current research on how decisions unfold, especially in a dynamic environment, is advancing our theoretical understanding of decision making. This Research Topic aims to review and further explore the time course of a decision - from how prior beliefs are formed to how those beliefs are used and updated over time, towards the formation of preferences and choices and post-decision processes and effects. Research literatures encompassing varied approaches to the time-scale of decisions will be brought into scope: a) Speeded decisions (and post-decision processes) that require the accumulation of noisy and possibly non-stationary perceptual evidence (e.g., randomly moving dots stimuli), within a few seconds, with or without temporal uncertainty. b) Temporally-extended, value-based decisions that integrate feedback values (e.g., gambling machines) and internally-generated decision criteria (e.g., when one switches attention, selectively, between the various aspects of several choice alternatives). c) Temporally extended, belief-based decisions that build on the integration of evidence, which interacts with the decision maker's belief system, towards the updating of the beliefs and the formation of judgments and preferences (as in the legal context). Research that emphasizes theoretical concerns (including optimality analysis) and mechanisms underlying the decision process, both neural and cognitive, is presented, as well as research that combines experimental and computational levels of analysis.

Intelligence in a Materials World contains 87 refereed papers selected from those presented at the Third International Conference on Intelligent Processing and Manufacturing of Materials. The contents span the full scope of the field of materials production and manufacturing from all parts of the world. The focus of this book is on practical applications of intelligent hardware and software. Topics include: New Intelligent Software Methods and Models Production of Raw Materials Biologically-Inspired Systems Simulation and Design of New Materials Atomistic and Electronic Modeling Web-based Design Metrology and Instrumentation Intelligent Manufacturing Systems Agent-based Large-Scale System Simulation Environmental Systems Planning and Scheduling Applications in Space Exploration Financial Transactions Materials Forming Rolling and Sheet Metal Systems Machining and Finishing Processes Language Recognition and Communication Cross-Disciplinary Research This book is an essential reference tool for individuals interested in applying state-of-the-art artificial Intelligence and its related modeling methods within areas that deal with materials production and manufacturing, from raw materials and ore to final consumer products. IPMM is an organization of over 400 individuals from over 45 countries who come together every two years to share in new ideas and applications that use intelligence (artificial or otherwise) to achieve new designs, novel planning methods, improved system optimization techniques, advanced process control or monitoring methods in different fields dealing with material science and engineering.

Wearable technology, including smartwatches, biometric trackers, and body cameras, are often touted as helpful tools that record, produce, and analyze data about daily life to improve our individual habits and health or to solve serious public issues. In this book, James N. Gilmore argues that these lofty promises mask forms of surveillance and power. Charting the implementation of wearables in areas of accessibility, health, sports, labor, law enforcement, and infrastructure, Gilmore demonstrates how these devices have been positioned as authoritative means for producing knowledge about human activity. Drawing on news reporting, advertising, film and television, company reports, and legal policies, he shows how this knowledge production reproduces three distinct modes of power: normalcy, surveillance, and solutionism. Bringers of Order empowers readers to examine the complicated ways our devices reshape how we think about our lives and our ethics and why we should resist companies analyzing our personal data.

This volume contains the papers presented at the 9th International Symposium on Rock Fragmentation by Blasting, held in Granada, Spain, 13-17 August 2009. A state-of-the-art collection of articles on developments in rock blasting and explosives engineering, with contributions on rock characterization, explosives and initiation systems, blast design and monitoring, fragmentation assessment, numerical modeling, vibrations from blasting, environmental and economical aspects of rock blasting, and more. Containing unique knowledge, case studies, ideas and insights, this volume is must-have literature for researchers and practitioners in the field of explosives and blasting.