Design and Technology Inside the Black Box
Author: Judy Moreland
Publisher: Granada Learning
Published: 2008
Total Pages: 36
ISBN-13: 9780708717646
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Inside the black box
Author: Paul Black
Publisher: Granada Learning
Published: 1998
Total Pages: 24
ISBN-13: 9780708713815
DOWNLOAD EBOOKOffers practical advice on using and improving assessment for learning in the classroom.
Working Inside the Black Box
Author: Paul Black
Publisher: Granada Learning
Published: 2004
Total Pages: 28
ISBN-13: 9780708713792
DOWNLOAD EBOOKOffers practical advice on using and improving assessment for learning in the classroom.
Exploring the Black Box
Author: Nathan Rosenberg
Publisher: Cambridge University Press
Published: 1994-03-10
Total Pages: 288
ISBN-13: 9780521459556
DOWNLOAD EBOOKThe process of technological change takes a wide variety of forms. Propositions that may be accurate when referring to the pharmaceutical industry may be totally inappropriate when applied to the aircraft industry or to computers or forest products. The central theme of Nathan Rosenberg's new book is the idea that technological changes are often 'path dependent', in the sense that their form and direction tend to be influenced strongly by the particular sequence of earlier events out of which a new technology has emerged. The book advances the understanding of technological change by explictly recognising its essential diversity and path-dependent nature. Individual chapters explore the particular features of new technologies in different historical and sectoral contexts. This book presents a unique account of how technological change is generated and the processes by which improved technologies are introduced.
The Black Box Society
Author: Frank Pasquale
Publisher: Harvard University Press
Published: 2015-01-05
Total Pages: 320
ISBN-13: 0674967100
DOWNLOAD EBOOKEvery day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
Inside the FFT Black Box
Author: Eleanor Chu
Publisher: CRC Press
Published: 1999-11-11
Total Pages: 346
ISBN-13: 9781420049961
DOWNLOAD EBOOKAre some areas of fast Fourier transforms still unclear to you? Do the notation and vocabulary seem inconsistent? Does your knowledge of their algorithmic aspects feel incomplete? The fast Fourier transform represents one of the most important advancements in scientific and engineering computing. Until now, however, treatments have been either brief, cryptic, intimidating, or not published in the open literature. Inside the FFT Black Box brings the numerous and varied ideas together in a common notational framework, clarifying vague FFT concepts. Examples and diagrams explain algorithms completely, with consistent notation. This approach connects the algorithms explicitly to the underlying mathematics. Reviews and explanations of FFT ideas taken from engineering, mathematics, and computer science journals teach the computational techniques relevant to FFT. Two appendices familiarize readers with the design and analysis of computer algorithms, as well. This volume employs a unified and systematic approach to FFT. It closes the gap between brief textbook introductions and intimidating treatments in the FFT literature. Inside the FFT Black Box provides an up-to-date, self-contained guide for learning the FFT and the multitude of ideas and computing techniques it employs.
Spotify Teardown
Author: Maria Eriksson
Publisher: MIT Press
Published: 2019-02-19
Total Pages: 287
ISBN-13: 0262038900
DOWNLOAD EBOOKAn innovative investigation of the inner workings of Spotify that traces the transformation of audio files into streamed experience. Spotify provides a streaming service that has been welcomed as disrupting the world of music. Yet such disruption always comes at a price. Spotify Teardown contests the tired claim that digital culture thrives on disruption. Borrowing the notion of “teardown” from reverse-engineering processes, in this book a team of five researchers have playfully disassembled Spotify's product and the way it is commonly understood. Spotify has been hailed as the solution to illicit downloading, but it began as a partly illicit enterprise that grew out of the Swedish file-sharing community. Spotify was originally praised as an innovative digital platform but increasingly resembles a media company in need of regulation, raising questions about the ways in which such cultural content as songs, books, and films are now typically made available online. Spotify Teardown combines interviews, participant observations, and other analyses of Spotify's “front end” with experimental, covert investigations of its “back end.” The authors engaged in a series of interventions, which include establishing a record label for research purposes, intercepting network traffic with packet sniffers, and web-scraping corporate materials. The authors' innovative digital methods earned them a stern letter from Spotify accusing them of violating its terms of use; the company later threatened their research funding. Thus, the book itself became an intervention into the ethics and legal frameworks of corporate behavior.
Race After Technology
Author: Ruha Benjamin
Publisher: John Wiley & Sons
Published: 2019-07-09
Total Pages: 172
ISBN-13: 1509526439
DOWNLOAD EBOOKFrom everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide here.
Evaluating Climate Change Action for Sustainable Development
Author: Juha I. Uitto
Publisher: Springer
Published: 2017-01-11
Total Pages: 365
ISBN-13: 331943702X
DOWNLOAD EBOOKThis book is open access under a Creative Commons license. This authoritative book presents the ever progressing state of the art in evaluating climate change strategies and action. It builds upon a selection of relevant and practical papers and presentations given at the 2nd International Conference on Evaluating Climate Change and Development held in Washington DC in 2014 and includes perspectives from independent evaluations of the major international organisations supporting climate action in developing countries, such as the Global Environment Facility. The first section of the book sets the stage and provides an overview of independent evaluations, carried out by multilateral development banks and development organisations. Important topics include how policies and organisations aim to achieve impact and how this is measured, whether climate change is mainstreamed into other development programs, and whether operations are meeting the urgency of climate change challenges. The following sections focus on evaluation of climate change projects and policies as they link to development, from the perspective of international organisations, NGO’s, multilateral and bilateral aid agencies, and academia. The authors share methodologies or approaches used to better understand problems and assess interventions, strategies and policies. They also share challenges encountered, what was done to solve these and lessons learned from evaluations. Collectively, the authors illustrate the importance of evaluation in providing evidence to guide policy change to informed decision-making.
Interpretable Machine Learning
Author: Christoph Molnar
Publisher: Lulu.com
Published: 2020
Total Pages: 320
ISBN-13: 0244768528
DOWNLOAD EBOOKThis book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
