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New and expanded edition. An International Bestseller - Over One Million Copies Sold! Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award. Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
New and expanded edition. An International Bestseller - Over One Million Copies Sold! Longlisted for the Financial Times/Goldman Sachs Business Book of the Year Award. Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.
This timely, expertly written monograph looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.
This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.
The Web has been with us now for almost 25 years. An integral part of our social, cultural and political lives, ‘new media’ is simply not that new anymore. Despite the rapidly expanding archives of information at our disposal, and the recent growth of interest in web history as a field of research, the information available to us still far outstrips our understanding of how to interpret it. The SAGE Handbook of Web History marks the first comprehensive review of this subject to date. Its editors emphasise two main different forms of study: the use of the web as an historical resource, and the web as an object of study in its own right. Bringing together all the existing knowledge of the field, with an interdisciplinary focus and an international scope, this is an incomparable resource for researchers and students alike. Part One: The Web and Historiography Part Two: Theoretical and Methodological Reflections Part Three: Technical and Structural Dimensions of Web History Part Four: Platforms on the Web Part Five: Web History and Users, some Case Studies Part Six: The Roads Ahead
Give yourself the competitive edge when applying to physician assistant school The Ultimate Guide to Getting into Physician Assistant School is a unique, step-by-step blueprint for succeeding at every stage of the PA application process. Written by Andrew Rodican, a former member of Yale University School of Medicine’s Admissions Committee, this is the best book available on how to maximize your chance of acceptance into the PA school of your choice. Completely updated to include coverage of the Central Application Service for Physician Assistants (CASPA), Getting Into the Physician Assistant School of Your Choice covers all the essentials – from selecting a program all the way through to acing the interview. Clear and candid, this book provides insights, information, and advice you won’t find anyplace else – but may well make the difference between the acceptance or rejection of your application. Make-or-break advice on: What PA programs look for in an applicant Setting goals Selecting a program Completing the application Writing a quality essay Impressing on the interview Getting financial aid Using the internet for PA school application New to this edition: New interview types and techniques: mini-interviews and round table interviews Updates to questions and scenarios Admission requirements and recommendation updates Features an updated list of all the Physician Assistant programs in the US

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