Author: Jenny Goldstein Publisher: U of Nebraska Press ISBN: 1496217152 Category : Computers Languages : en Pages : 342
Book Description
By synthesizing scholarly work at the intersection of political ecology, digital geography, and science and technology studies, The Nature of Data analyzes how new digital technologies affect environments and their control.
Author: Sigmund Grønmo Publisher: SAGE Publications Limited ISBN: 1529618452 Category : Social Science Languages : en Pages : 533
Book Description
Framing research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully. Whether you are just beginning your research journey or are a seasoned traveller, it helps you: • Decide what you want to achieve with your research • Know what options you have to explore your goals • Navigate the nuances of different research approaches • Understand the decisions of other researchers • Choose what path best suits your project. Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis. This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages. The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.
Author: Jenny Goldstein Publisher: U of Nebraska Press ISBN: 149623278X Category : Computers Languages : en Pages : 343
Book Description
When we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies. Big data, artificial intelligence, and data dashboards all promise “revolutionary” advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged. This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions. In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastructures, the relations between state and civil society that data infrastructure reworks, and the conditions under which technology can further socio-ecological justice instead of re-entrenching state and capitalist power. This innovative volume presents some of the first research in this new but rapidly growing subfield that addresses the role of data infrastructures in critical environmental politics.
Author: Douglas G. Martinson Publisher: Cambridge University Press ISBN: 1108671454 Category : Science Languages : en Pages : 632
Book Description
This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as self-contained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes.
Author: Vladimir Vapnik Publisher: Springer Science & Business Media ISBN: 1475732643 Category : Mathematics Languages : en Pages : 324
Book Description
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Author: Katy Borner Publisher: MIT Press ISBN: 0262028816 Category : Computers Languages : en Pages : 225
Book Description
The power of mapping: principles for visualizing knowledge, illustrated by many stunning large-scale, full-color maps. Maps of physical spaces locate us in the world and help us navigate unfamiliar routes. Maps of topical spaces help us visualize the extent and structure of our collective knowledge; they reveal bursts of activity, pathways of ideas, and borders that beg to be crossed. This book, from the author of Atlas of Science, describes the power of topical maps, providing readers with principles for visualizing knowledge and offering as examples forty large-scale and more than 100 small-scale full-color maps. Today, data literacy is becoming as important as language literacy. Well-designed visualizations can rescue us from a sea of data, helping us to make sense of information, connect ideas, and make better decisions in real time. In Atlas of Knowledge, leading visualization expert Katy Börner makes the case for a systems science approach to science and technology studies and explains different types and levels of analysis. Drawing on fifteen years of teaching and tool development, she introduces a theoretical framework meant to guide readers through user and task analysis; data preparation, analysis, and visualization; visualization deployment; and the interpretation of science maps. To exemplify the framework, the Atlas features striking and enlightening new maps from the popular “Places & Spaces: Mapping Science” exhibit that range from “Key Events in the Development of the Video Tape Recorder” to “Mobile Landscapes: Location Data from Cell Phones for Urban Analysis” to “Literary Empires: Mapping Temporal and Spatial Settings of Victorian Poetry” to “Seeing Standards: A Visualization of the Metadata Universe.” She also discusses the possible effect of science maps on the practice of science.
Author: Julia Lane Publisher: MIT Press ISBN: 0262542749 Category : Political Science Languages : en Pages : 187
Book Description
A wake-up call for America to create a new framework for democratizing data. Public data are foundational to our democratic system. People need consistently high-quality information from trustworthy sources. In the new economy, wealth is generated by access to data; government's job is to democratize the data playing field. Yet data produced by the American government are getting worse and costing more. In Democratizing Our Data, Julia Lane argues that good data are essential for democracy. Her book is a wake-up call to America to fix its broken public data system.
Author: Helen Causton Publisher: John Wiley & Sons ISBN: 1444311565 Category : Science Languages : en Pages : 176
Book Description
This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout Written by well-known teachers in the subject Provides insight into how to analyse the data produced from microarrays
Author: Jan Bernd Nordemann Publisher: Kluwer Law International B.V. ISBN: 9403532815 Category : Law Languages : en Pages : 605
Book Description
Data, in its raw or unstructured form, has become an important and valuable economic asset, lending it the sobriquet of ‘the oil of the twenty-first century’. Clearly, as intellectual property, raw data must be legally defined if not somehow protected to ensure that its access and re-use can be subject to legal relations. As legislators struggle to develop a settled legal regime in this complex area, this indispensable handbook will offer a careful and dedicated analysis of the legal instruments and remedies, both existing and potential, that provide such protection across a wide variety of national legal systems. Produced under the auspices of the International Association for the Protection of International Property (AIPPI), more than forty of the association’s specialists from twenty-three countries worldwide contribute national chapters on the relevant law in their respective jurisdictions. The contributions thoroughly explain how each country approaches such crucial matters as the following: if there is any intellectual property right available to protect raw data; the nature of such intellectual property rights that exist in unstructured data; contracts on data and which legal boundaries stand in the way of contract drafting; liability for data products or services; and questions of international private law and cross-border portability. Each country’s rules concerning specific forms of data – such as data embedded in household appliances and consumer goods, criminal offence data, data relating to human genetics, tax and bank secrecy, medical records, and clinical trial data – are described, drawing on legislation, regulation, and case law. A matchless legal resource on one of the most important raw materials of the twenty-first century, this book provides corporate counsel, practitioners and policymakers working in the field of intellectual property rights, and concerned academics with both a broad-based global overview on emerging legal strategies in the protection of unstructured data and the latest information on existing legislation and regulation in the area.
Author: Frank Pasquale Publisher: Harvard University Press ISBN: 0674967100 Category : Law Languages : en Pages : 320
Book Description
Every 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.
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Author: Jenny Goldstein
Author: Sigmund Grønmo
Author: Jenny Goldstein
Author: Douglas G. Martinson
Author: Vladimir Vapnik
Author: Katy Borner
Author: Julia Lane
Author: Helen Causton
Author: Jan Bernd Nordemann
Author: Frank Pasquale