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Here Be Dragons
There is a widely held conception that progress in science and technology is our salvation, and the more of it, the better. This, however, is an oversimplified and even dangerous attitude. While the future will certainly offer huge changes due to such progress, it is far from certain that all of these changes will be for the better. The unprecedented rate of technological development that the 20th century witnessed has made our lives today vastly different from those in 1900. No slowdown is in sight, and the 21st century will most likely see even more revolutionary changes than the 20th, due to advances in science, technology and medicine. Particular areas where extraordinary and perhaps dis...
Finite Markov Chains and Algorithmic Applications
Based on a lecture course given at Chalmers University of Technology, this 2002 book is ideal for advanced undergraduate or beginning graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range of randomized algorithms with important applications in optimization and other problems in computing. Amongst the algorithms covered are the Markov chain Monte Carlo method, simulated annealing, and the recent Propp-Wilson algorithm. This book will appeal not only to mathematicians, but also to students of statistics and computer science. The subject matter is introduced in a clear and concise fashion and the numerous exercises included will help students to deepen their understanding.
Here be Dragons
There is a widely held conception that progress in science and technology is our salvation, and the more of it, the better. This, however, is an oversimplified and even dangerous attitude. While the future will certainly offer huge changes due to such progress, it is far from certain that all of these changes will be for the better. The unprecedented rate of technological development that the 20th century witnessed has made our lives today vastly different from those in 1900. No slowdown is in sight, and the 21st century will most likely see even more revolutionary changes than the 20th, due to advances in science, technology and medicine. Particular areas where extraordinary and perhaps dis...
The Inner World of Research
The Inner World of Research is a book about the joys and miseries of life as a researcher. Dealing with essential but rarely mentioned topics in the everyday life of a researcher, it focuses, in particular, on the role of emotions and social relations in research. It stretches from the individual researcher, to the ‘micro-cosmos’ of the research team and to the broader policy environment in which research takes place. Though based on autobiographical material from Stefan Svallfors’ long career as a leading social scientist, the book also derives from extended interviews with researchers from a variety of disciplines, and with authors, artists and musicians. It delves into the mysteries of creativity; the joys and frustrations of collaboration; and the role of fear, anger and boredom in the life of a researcher.
Selected Works of Oded Schramm
This volume is dedicated to the memory of the late Oded Schramm (1961-2008), distinguished mathematician. Throughout his career, Schramm made profound and beautiful contributions to mathematics that will have a lasting influence. In these two volumes, Editors Itai Benjamini and Olle Häggström have collected some of his papers, supplemented with three survey papers by Steffen Rohde, Häggström and Cristophe Garban that further elucidate his work. The papers within are a representative collection that shows the breadth, depth, enthusiasm and clarity of his work, with sections on Geometry, Noise Sensitivity, Random Walks and Graph Limits, Percolation, and finally Schramm-Loewner Evolution. An introduction by the Editors and a comprehensive bibliography of Schramm's publications complete the volume. The book will be of especial interest to researchers in probability and geometry, and in the history of these subjects.
Stud
Originally published in 1996, Stud: Architectures of Masculinity is an interdisciplinary exploration of the active role architecture plays in the construction of male identity. Architects, artists, and theorists investigate how sexuality is constituted through the organization of materials, objects, and human subjects in actual space. This collection of essays and visual projects critically analyzes the spaces that we habitually take for granted but that quietly participates in the manufacturing of "maleness." Employing a variety of critical perspectives (feminism, "queer theory," deconstruction, and psychoanalysis), Stud's contributors reveal how masculinity, always an unstable construct, is coded in our environment. Stud also addresses the relationship between architecture and gay male sexuality, illustrating the resourceful ways that gay men have appropriated and reordered everyday public domains, from streets to sex clubs, in the formation of gay social space.
Technocapitalism
A fascinating look at how the Space Barons and Techtitans—heads of companies like Uber, Amazon, Tesla—have hijacked technology, preventing it from being used on behalf of the common good and profiting from the politics of fear and consumerism. The respected Italian economist and journalist offers a bold and provocative argument that the speed of technological transformation is threatening our future At the dawn of the digital revolution, the internet was going to be the great equalizer, a global democratic force. Instead, with the money printed electronically to bail out banks, Wall Street ended up funding a new breed of serial capitalists, the Techtitans, who embraced rapid, transformat...
Stochastic Geometry
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themes o considerations of geometric sampling bias issues o tesselations o shape o random sets o image analysis o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo
