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Economics of Information Security and Privacy

Author : Tyler Moore

Publisher : Springer Science & Business Media

Page : 328 pages

File Size : 35,58 MB

Release : 2010-07-20

Category : Computers

ISBN : 1441969675

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Book Description

The Workshop on the Economics of Information Security (WEIS) is the leading forum for interdisciplinary research and scholarship on information security and privacy, combining ideas, techniques, and expertise from the fields of economics, social science, business, law, policy, and computer science. In 2009, WEIS was held in London, at UCL, a constituent college of the University of London. Economics of Information Security and Privacy includes chapters presented at WEIS 2009, having been carefully reviewed by a program committee composed of leading researchers. Topics covered include identity theft, modeling uncertainty's effects, future directions in the economics of information security, economics of privacy, options, misaligned incentives in systems, cyber-insurance, and modeling security dynamics. Economics of Information Security and Privacy is designed for managers, policy makers, and researchers working in the related fields of economics of information security. Advanced-level students focusing on computer science, business management and economics will find this book valuable as a reference.



Digital Privacy

Author : Alessandro Acquisti

Publisher : CRC Press

Page : 494 pages

File Size : 22,26 MB

Release : 2007-12-22

Category : Business & Economics

ISBN : 1420052187

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Book Description

During recent years, a continuously increasing amount of personal data has been made available through different websites around the world. Although the availability of personal information has created several advantages, it can be easily misused and may lead to violations of privacy. With growing interest in this area, Digital Privacy: Theory, Technologies, and Practices addresses this timely issue, providing information on state-of-the-art technologies, best practices, and research results, as well as legal, regulatory, and ethical issues. This book features contributions from experts in academia, industry, and government.



The Economics of Artificial Intelligence

Author : Ajay Agrawal

Publisher : University of Chicago Press

Page : 172 pages

File Size : 32,49 MB

Release : 2024-03-05

Category : Business & Economics

ISBN : 0226833127

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Book Description

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.



Economics of Information Security

Author : L. Jean Camp

Publisher : Springer Science & Business Media

Page : 300 pages

File Size : 20,67 MB

Release : 2006-04-11

Category : Computers

ISBN : 1402080905

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Book Description

Designed for managers struggling to understand the risks in organizations dependent on secure networks, this book applies economics not to generate breakthroughs in theoretical economics, but rather breakthroughs in understanding the problems of security.



The Economics of Information Security and Privacy

Author : Rainer Böhme

Publisher : Springer Science & Business Media

Page : 327 pages

File Size : 19,18 MB

Release : 2013-11-29

Category : Computers

ISBN : 3642394981

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Book Description

In the late 1990s, researchers began to grasp that the roots of many information security failures can be better explained with the language of economics than by pointing to instances of technical flaws. This led to a thriving new interdisciplinary research field combining economic and engineering insights, measurement approaches and methodologies to ask fundamental questions concerning the viability of a free and open information society. While economics and information security comprise the nucleus of an academic movement that quickly drew the attention of thinktanks, industry, and governments, the field has expanded to surrounding areas such as management of information security, privacy, and, more recently, cybercrime, all studied from an interdisciplinary angle by combining methods from microeconomics, econometrics, qualitative social sciences, behavioral sciences, and experimental economics. This book is structured in four parts, reflecting the main areas: management of information security, economics of information security, economics of privacy, and economics of cybercrime. Each individual contribution documents, discusses, and advances the state of the art concerning its specific research questions. It will be of value to academics and practitioners in the related fields.



Big Data for Twenty-First-Century Economic Statistics

Author : Katharine G. Abraham

Publisher : University of Chicago Press

Page : 502 pages

File Size : 28,54 MB

Release : 2022-03-11

Category : Business & Economics

ISBN : 022680125X

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Book Description

Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.



The Economics of Justice

Author : Richard A. Posner

Publisher : Harvard University Press

Page : 436 pages

File Size : 28,56 MB

Release : 1983-08-16

Category : Law

ISBN : 9780674235267

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Book Description

Posner uses economic analysis to probe justice and efficiency, primitive law, privacy, and the constitutional regulation of racial discrimination.



The Economics of Data, Analytics, and Digital Transformation

Author : Bill Schmarzo

Publisher : Packt Publishing Ltd

Page : 261 pages

File Size : 14,14 MB

Release : 2020-11-30

Category : Computers

ISBN : 1800569130

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Book Description

Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.



The Economics of Energy Security

Author : Douglas R. Bohi

Publisher : Springer Science & Business Media

Page : 155 pages

File Size : 49,11 MB

Release : 2012-12-06

Category : Business & Economics

ISBN : 9400918089

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Book Description

his volume brings together and expands on research on the subject of energy T security externalities that we have conducted over a twenty-year period. We were motivated to bring this work together by the lack of a comprehensive analysis of the issues involved that was conveniently located in a single document, by the desire to focus that disparate body of research on the assessment of energy security externalities for policy purposes, and by the continuing concern of researchers and policymakers regarding the issues involved. Many misconceptions about energy security continue to persist in spite of a large body of research to the contrary, and we hope that this volume will help to dispel them. Most of our original research was funded by either the U.S. Department of Energy or Resources for the Future (RFF), and all of it was conducted while we served as staff members of RFF. To these institutions, and to the many individuals who commented on our original work, we wish to express our sincere gratitude. We also wish to express our appreciation to our colleague Margaret Walls for her sub stantial contribution to Chapter 7 on transportation policy.



Privacy, Big Data, and the Public Good

Author : Julia Lane

Publisher : Cambridge University Press

Page : 343 pages

File Size : 31,50 MB

Release : 2014-06-09

Category : Mathematics

ISBN : 1316094456

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Book Description

Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.



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