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This book summarizes five years of learning from data collected as part of the Global Accelerator Learning Initiative. The authors present data describing impact-oriented ventures and accelerators that operate in both high-income countries and in emerging markets. Blending survey data with insights from sector experts, their various analyses shed light on the basic structure of accelerators, showing where they are having their most promising results. Unlike previous studies, this book does not focus on a few high-profile accelerators (like TechStars and Y Combinator) and startups (like AirBnB and Uber). Instead, it compares a range of accelerator programs that target specific impact areas, challenging regions, and marginalized entrepreneurs. Therefore, it serves as a valuable tool for scholars, policymakers, and practitioners interested in the effectiveness of accelerator programs as tools that unleash the economic potential currently trapped in entrepreneurial dead spaces.
Hartmut Rosa advances an account of the temporal structure of society from the perspective of critical theory. He identifies in particular three categories of change in the tempo of modern social life: technological acceleration, evident in transportation, communication, and production; the acceleration of social change, reflected in cultural knowledge, social institutions, and personal relationships; and acceleration in the pace of life, which happens despite the expectation that technological change should increase an individual's free time. According to Rosa, both the structural and cultural aspects of our institutions and practices are marked by the "shrinking of the present," a decreasing time period during which expectations based on past experience reliably match future results and events. When this phenomenon combines with technological acceleration and the increasing pace of life, time seems to flow ever faster, making our relationships to each other and the world fluid and problematic. It is as if we are standing on "slipping slopes," a steep social terrain that is itself in motion and in turn demands faster lives and technology. As Rosa deftly shows, this self-reinforcing feedback loop fundamentally determines the character of modern life.
From the bestselling, National Book Award-nominated author of Genius and Chaos, a bracing new work about the accelerating pace of change in today's world. Most of us suffer some degree of "hurry sickness." a malady that has launched us into the "epoch of the nanosecond," a need-everything-yesterday sphere dominated by cell phones, computers, faxes, and remote controls. Yet for all the hours, minutes, and even seconds being saved, we're still filling our days to the point that we have no time for such basic human activities as eating, sex, and relating to our families. Written with fresh insight and thorough research, Faster is a wise and witty look at a harried world not likely to slow down anytime soon.
The concept of observability of entities in physical science is typically analyzed in terms of the nature and significance of a dichotomy between observables and unobservables. In this book, however, this categorization is resisted and observability is analyzed in a descriptive way in terms of the information which one can receive through interaction with objects in the world. The account of interaction and the transfer of information is done using applicable scientific theories. In this way the question of observability of scientific entities is put to science itself. Several examples are presented which show how this interaction-information account of observability is done. It is demonstrated that observability has many dimensions which are in general orthogonal. The epistemic significance of these dimensions is explained. This study is intended primarily as a method for understanding problems of observability rather than as a solution to those problems. The important issue of scientific realism and its relation to observability, however, demands attention. Hence, the implication of the interaction-information account for realism is drawn in terms of the epistemic significance of the dimensions of observability. This amounts to specifying what it is about good observations that make them objective evidence for scientific theories.
Some twenty-three years after the discovery of pulsars and their identification as rotating neutron stars, neutron star physics may be regarded as comingofage. Pul sars and accreting neutron stars have now been studied at every wavelength, from the initial radio observations, through optical, X-, and "{-ray, up to the very recent observations in the TeV region, while theorists have studied in some detail relevant physical processes both outside and inside neutron stars. As a result, comparisonof theory with observation provides a test ofour theoretical ideas in fields as diverse as neutron and nuclear matter, superfluidity and superconductivity, the acceleration of high energy particles, and the generation and maintenance of intense magnetic fields. For example, through observations of glitches and post glitch behavior of pulsars, it has become possible to establish the presence ofsuperfluid neutron mat ter in the inner crust of neutron stars, and to determine some of its properties, while neutron stars in compact binary systems offer one ofthe most efficient energy generation mechanisms known. It is in fact the interactive interpretation of these ,diverse pieces of information that can lead to major advances in our understanding of the physics of these exotic objects, and justifies the characterization of neutron stars as hadron physics laboratories.
The discovery of a gradual acceleration in the moon’s mean motion by Edmond Halley in the last decade of the seventeenth century led to a revival of interest in reports of astronomical observations from antiquity. These observations provided the only means to study the moon’s ‘secular acceleration’, as this newly-discovered acceleration became known. This book contains the first detailed study of the use of ancient and medieval astronomical observations in order to investigate the moon’s secular acceleration from its discovery by Halley to the establishment of the magnitude of the acceleration by Richard Dunthorne, Tobias Mayer and Jérôme Lalande in the 1740s and 1750s. Making extensive use of previously unstudied manuscripts, this work shows how different astronomers used the same small body of preserved ancient observations in different ways in their work on the secular acceleration. In addition, this work looks at the wider context of the study of the moon’s secular acceleration, including its use in debates of biblical chronology, whether the heavens were made up of æther, and the use of astronomy in determining geographical longitude. It also discusses wider issues of the perceptions and knowledge of ancient and medieval astronomy in the early-modern period. This book will be of interest to historians of astronomy, astronomers and historians of the ancient world.
The three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. The 316 revised papers presented were carefully reviewed and selected. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the third volume are intelligent data processing in process systems and plants; neural information processing for data mining; soft computing approach to management engineering; advanced groupware; agent and multi-agent systems: technologies and applications; engineered applications of semantic Web; evolvable hardware and adaptive systems; evolvable hardware applications in the area of electronic circuits design; hyperspectral imagery for remote sensing; immunity-based systems; innovations in intelligent multimedia systems and virtual reality; intelligent environment support for collaborative learning; intelligent systems in medicine and healthcare; knowledge interaction for creative learning; novel foundation and applications of intelligent systems; skill acquisition and ubiquitous human computer interaction; smart sustainability; unsupervised clustering for exploratory data anlysis; and use of AI techniques to build enterprise systems.