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A replacement of the author's well-known book on Translation Theory, In Search of a Theory of Translation (1980), this book makes a case for Descriptive Translation Studies as a scholarly activity as well as a branch of the discipline, having immediate consequences for issues of both a theoretical and applied nature. Methodological discussions are complemented by an assortment of case studies of various scopes and levels, with emphasis on the need to contextualize whatever one sets out to focus on.Part One deals with the position of descriptive studies within TS and justifies the author's choice to devote a whole book to the subject. Part Two gives a detailed rationale for descriptive studies in translation and serves as a framework for the case studies comprising Part Three. Concrete descriptive issues are here tackled within ever growing contexts of a higher level: texts and modes of translational behaviour — in the appropriate cultural setup; textual components — in texts, and through these texts, in cultural constellations. Part Four asks the question: What is knowledge accumulated through descriptive studies performed within one and the same framework likely to yield in terms of theory and practice?This is an excellent book for higher-level translation courses.
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
The digitization of industrial processes has suddenly taken a great leap forward, with burgeoning applications in manufacturing, transportation and numerous other areas. Many stakeholders, however, are uncertain about the opportunities and risks associated with it and what it really means for businesses and national economies. Clarity of legal rules is now a pressing necessity. This book, the first to deal with legal questions related to Industrial Internet, follows a multidisciplinary approach that is instructed by law concerning intellectual property, data protection, competition, contracts and licensing, focusing on business, technology and policy-driven issues. Experts in various relevant fields of science and industry measure the legal tensions created by Industrial Internet in our global economy and propose solutions that are both theoretically valuable and concretely practical, identifying workable business models and practices based on both technical and legal knowledge. Perspectives include the following: regulating Industrial Internet via intellectual property rights (IPR); data ownership versus control over data; artificial intelligence and IPR infringement; patent owning in Industrial Internet; abuse of dominance in Industrial Internet platforms; data collaboration, pooling and hoarding; legal implications of granular versioning technologies; and misuse of information for anticompetitive purposes. The book represents a record of a major collaborative project, held between 2016 and 2019 in Finland, involving a number of universities, technology firms and law firms. As Industrial Internet technologies are already being used in several businesses, it is of paramount importance for the global economy that legal, business and policy-related challenges are promptly analyzed and discussed. This crucially important book not only reveals the legal and policy-related issues that we soon will have to deal with but also facilitates the creation of legislation and policies that promote Industrial-Internet-related technologies and new business opportunities. It will be warmly welcomed by practitioners, patent and other IPR attorneys, innovation economists and companies operating in the Industrial Internet ecosystem, as well as by competition authorities and other policymakers.
A foundational new collection examining the mechanics of privacy in the digital age. The falling costs of collecting, storing, and processing data have allowed firms and governments to improve their products and services, but have also created databases with detailed individual-level data that raise privacy concerns. This volume summarizes the research on the economics of privacy and identifies open questions on the value of privacy, the roles of property rights and markets for privacy and data, the relationship between privacy and inequality, and the political economy of privacy regulation. Several themes emerge across the chapters. One is that it may not be possible to solve privacy concerns by creating a market for the right to privacy, even if property rights are well-defined and transaction costs are low. Another is that it is difficult to measure and value the benefits of privacy, particularly when individuals have an intrinsic preference for privacy. Most previous attempts at valuation have focused only on quantifiable economic outcomes, such as innovation. Finally, defining privacy through an economic lens is challenging. The broader academic and legal literature includes many distinct definitions of privacy, and different definitions may be appropriate in different contexts. The chapters explore a variety of frameworks for examining these questions and provide a range of new perspectives on the role of economics research in understanding the benefits and costs of privacy and of data flows. As the digital economy continues to expand the scope of economic theory and research, The Economics of Privacy provides the most comprehensive survey to date of this field and its next steps.
The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Uncovers why privacy laws fail at protecting us from corporate data harms and charts a path for reform.
Governing Cross-Border Data Flows explores how the European Union can simultaneously reconcile and pursue two important legal and policy objectives, namely: protecting fundamental rights guaranteed under the EU Charter of Fundamental Rights (EU Charter) concerning privacy and personal data, while also maintaining and developing a binding, rules-based global trading system to ensure appropriate access to foreign digital markets for EU businesses. The book demonstrates a significant conflict between international trade law and European data privacy law when it comes to the governance of cross-border flows of personal data. To resolve the tensions caused by this clash, the book proposes concrete and detailed ways to ameliorate the situation from both ends (international trade and personal data protection), specifically through reforms of both international trade and chapter V of the General Data Protection Regulation (GDPR). To explain how such reforms could be effectuated, Yakovleva examines the role of discourse in the evolution of trade law in the last two decades. The book also paves the way for the further research necessary to design a fully-fledged reform proposal of the EU framework for the transfer of personal data outside the European Economic Area.