The first, foundational book on blockchain technology, from the bestselling author of Wikinomics Don Tapscott and blockchain expert Alex Tapscott, now in paperback with a new preface and chapter explaining recent developments in the world of blockchain, including cryptoassets, ICOs, smart contracts, and more.

"This book has had an enormous impact on the evolution of blockchain in the world."

-Satya Nadella, CEO, Microsoft Corporation

In this revelatory book, Don and Alex Tapscott bring us a...

How can science be brought to connect with experience? This book addresses two of the most challenging problems facing contemporary neurobiology and cognitive science: first, understanding how we unconsciously execute habitual actions as a result of neurological and cognitive processes that are not formal actions of conscious judgment but part of a habitual nexus of systematic self-organization; second, creating an ethics adequate to our present awareness that there is no such thing as a tran...

A little over a decade since its first publication, the hypotheses set out in Manuel Castells' groundbreaking trilogy have largely been verified. In a substantial new preface to the first volume in the series, Castells demonstrates, in the light of major world trends, how the network society has now fully risen on a global scale.

Stewart/Redlin/Watson's best-selling PRECALCULUS: MATHEMATICS FOR CALCULUS, 8th INTERNATIONAL METRIC EDITION with WebAssign digital resources prepares students to succeed in future calculus courses. This best-selling author team emphasizes problem-solving and mathematical modeling as this edition presents concepts with unparalleled clarity and precision. Updated content and revised learning features remove barriers for a carefully planned, inclusive learning experience.

The authors' attention...

For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background.

It contains sufficient material for a two-semester c...

The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations.

A Nobel prize-winning physicist, a social psychologist and a philosopher on how science can help us navigate information overload, thrive amidst uncertainty and heal our fractured society.

A definitive guide to thinking clearly in a world full of overwhelming information.

__________

In our deluge of information, it's getting harder and harder to distinguish the revelatory from the contradictory. How do we make health decisions in the face of conflicting medical advice? How can we navigate the...

Invitation to Oceanography, Eighth Edition introduces students to the key concepts from geology, chemistry, physics, and biology as it relates to ocean environments and processes. This comprehensive text helps students learn how scientists interpret data, taking raw knowledge and transforming it into real understanding. As concepts are explained and described with words and numbers, students can apply their learning using questions at the end of each chapter, including the Review of Basic Con...

Authors Ward Cheney and David Kincaid show students of science and engineering the potential computers have for solving numerical problems and give them ample opportunities to hone their skills in programming and problem solving. NUMERICAL MATHEMATICS AND COMPUTING, 7th Edition also helps students learn about errors that inevitably accompany scientific computations and arms them with methods for detecting, predicting, and controlling these errors.

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background.

It can also be used in a way that stre...