It is not possible to ignore the fact that cities are not only moving, vibrant and flourishing spaces, promising hope for better quality of life, but that they also accumulate and reflect significant problems. This book explores the relational and dynamic nature of urban inequalities, including their visible and invisible forms. By using the rather elusive term of ‘uncertainty’, the authors zoom in on specific aspects of urban inequalities that are difficult to measure, yet are acutely sensed and experienced by people and, more and more often, perceived as unfair. Here, in the recognition of inequalities as unjust and in the disagreement with the status quo, lies a positive aspect of uncertainty, which can lead to a social awakening and more active citizenship.

This book covers the application of algebraic inequalities for reliability improvement and for uncertainty and risk reduction. It equips readers with powerful domain-independent methods for reducing risk based on algebraic inequalities and demonstrates the significant benefits derived from the application for risk and uncertainty reduction. Algebraic inequalities: • Provide a powerful reliability improvement, risk and uncertainty reduction method that transcends engineering and can be applied in various domains of human activity • Present an effective tool for dealing with deep uncertainty related to key reliability-critical parameters of systems and processes • Permit meaningful interpretations which link abstract inequalities with the real world • Offer a tool for determining tight bounds for the variation of risk-critical parameters and complying the design with these bounds to avoid failure • Allow optimising designs and processes by minimising the deviation of critical output parameters from their specified values and maximising their performance This book is primarily for engineering professionals and academic researchers in virtually all existing engineering disciplines.

What does it mean to grow up today as working-class young adults? How does the economic and social instability left in the wake of neoliberalism shape their identities, their understandings of the American Dream, and their futures? Coming Up Short illuminates the transition to adulthood for working-class men and women. Moving away from easy labels such as the "Peter Pan generation," Jennifer Silva reveals the far bleaker picture of how the erosion of traditional markers of adulthood-marriage, a steady job, a house of one's own-has changed what it means to grow up as part of the post-industrial working class. Based on one hundred interviews with working-class people in two towns-Lowell, Massachusetts, and Richmond, Virginia-Silva sheds light on their experience of heightened economic insecurity, deepening inequality, and uncertainty about marriage and family. Silva argues that, for these men and women, coming of age means coming to terms with the absence of choice. As possibilities and hope contract, moving into adulthood has been re-defined as a process of personal struggle-an adult is no longer someone with a small home and a reliable car, but someone who has faced and overcome personal demons to reconstruct a transformed self. Indeed, rather than turn to politics to restore the traditional working class, this generation builds meaning and dignity through the struggle to exorcise the demons of familial abuse, mental health problems, addiction, or betrayal in past relationships. This dramatic and largely unnoticed shift reduces becoming an adult to solitary suffering, self-blame, and an endless seeking for signs of progress. This powerfully written book focuses on those who are most vulnerable-young, working-class people, including African-Americans, women, and single parents-and reveals what, in very real terms, the demise of the social safety net means to their fragile hold on the American Dream.

Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields. Features First book on UQ in variational inequalities emerging from various network, economic, and engineering models Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature

Inequality, Uncertainty, and Opportunity provides readers with a sense of the many ways in which financial market developments influence labor and industrial relations.