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Privacy and Consumer Empowerment in Online Advertising provides an overview of the different issues that are in play in consumer privacy and in empowering consumers with rights to manage the privacy of their data. The authors review the existing knowledge on this topic and discuss implications for consumers, for advertisers, and for ad serving platforms that enable advertisers to reach consumers.The introductory section provides an outline and briefly reviews the key ideas. Section 2 discusses the key aspects of the GDPR, the CCPA and the CPRA. Since the implementation of the GDPR in May 2018, some early empirical evidence has emerged of its impact and this is examined in Section 3. The authors review the privacy and economic frameworks in Section 4. Section 5 discusses the theoretical work in this area enhances our understanding of the impact of privacy regulation on consumers and on online advertising. Section 6 examines how consumers are presented with privacy notices and their (in)ability to make privacy choices due to a variety of factors. Section 7 reviews how firms attach value to consumers' data. In light of the passing of privacy regulation, firms have been attempting to develop methods for privacy-preserving targeted advertising. In Section 8, we discuss some of these attempts such as FLoC and TURTLEDOVE, which aim to target consumers based on their interests and/or their website visit history, but without compromising their privacy. Finally, Section 9 concludes with a discussion.An overall summary is that privacy concerns have been heightened in the past two decades and this has led to the passing of privacy regulations addressing data security and privacy rights. After these regulations, a significant minority of consumers have chosen to not provide consent for their data to be collected, used and shared. However, most consumers still do not properly understand the key implications of privacy policies of firms, and more efforts are needed in that regard. Also, technologies are being developed for privacy-preserving user targeting. Finally, regarding firms, data frictions caused by privacy regulations have, in turn, caused negative consequences for small advertisers, publishers and service providers. The authors provide some directions for future work that may be valuable to move thinking forward on this increasingly important topic.

The comprehensive review of neurosymbolic programming introduces the reader to the topic and provides an insightful treatise on an increasingly important topic at the intersection of programming languages and machine learning.

This book is an introduction to Acceleration Methods used in convex optimization that enables the reader to quickly understand the important principles and apply the techniques to their own research.

This monograph reviews the work that HCI and other disciplines has produced on the digital transcendent experience and combines it with an illustrated design fiction.

Reviews research on the design and evaluation of search user interfaces of the past 10 years. It integrates state-of-the-art research in the areas of information seeking behavior, information retrieval, and human-computer interaction on the topic of search interface.

This monograph focusses on the current research activities and emerging trends that relate to numerous technological functionalities, and it should be of interest to students, researchers and engineers active in the fields related to Circuits and Systems for Biomedical Engineering.

Working at the intersection of information theory and neighboring disciplines, the authors provide a comprehensive survey of a particular area of asymptotic frame theory that can drastically improve the performance of codes used in communication and signal processing systems.

Written in a tutorial style, readers from both classical and quantum backgrounds will find this an enlightening treatise on the topic. This monograph is a comprehensive and accessible overview of a complex problem for students and researchers in signal processing.

Beyond ESG: Reforming Capitalism and Social Democracy analyzes various reform projects, discusses the concepts of ethics and equity and proposes projects for in-depth reforms of capitalism and social democracy.

Accounting for Risk is about using accounting information to assess risk and the required return for bearing that risk. The focus is on investing in firms and the equity claims on firms: How much should an investor discount the price of a share in a firm for risk, and how can accounting information help to answer that question?

The Economics of Securities Regulation: A Survey gives an overview of the U.S. regulatory system, explores the justifications for regulating securities markets, and describes the qualitative and quantitative literature that assesses the regulatory system's effectiveness.

This publication presents state-of-the-art designs of the most critical building blocks of the analog/digital interface highlighting new and innovative circuit architectures and techniques.

Analyses the most recent literature on IPOs of entrepreneurial firms - young firms based on intangible rather than physical assets where the founder of the firm often serves as the key inventor and the CEO.

Reflects the respect, affection and high esteem that his colleagues held for Mike Wright. This volume presents a collection of reflections paying tribute to him, as a scholar, as an academic leader and scholarly innovator, and as a special person.

Inspired by the nanopass framework for teaching compilation, this book shows how to implement refinement types via a progression of languages that incrementally add features to the language or type system. The book provides an insightful introduction into Refinement Types using an innovative tutorial style that enables fast learning.

Tensor Regression is the first thorough overview of the fundamentals, motivations, popular algorithms, strategies for efficient implementation, related applications, available datasets, and software resources for tensor-based regression analysis.

This monograph provides a comprehensive overview of the role of institutional investors in corporate governance.

Provides an overview of Efficiency and Productivity Analysis, a very important field of research and practice, spanning over and engaging with many disciplines, most prominently Economics (theoretical and applied), Statistics (and therefore Econometrics), Operations Research and Management Science.

Minimum-Distortion Embedding describes the theory behind and practical use of a cutting-edge artificial intelligence technique. Accompanied by an open-source software package, PyMDE, it illustrates applying these AI techniques in areas such as images, co- networks, demographics, genetics, and biology.

Surveys the stream developments in the regulation and standard setting that have set the requirements for companies' financial reporting in the US capital market. Attention is given to instances in which the SEC has either been in disagreement with the private-sector accounting standard setter, or where they have partnered in a solution.

Examines the evolution of the social purpose of the corporation. This development has taken place against the background of changing regulations and globalization. Consequently, international regulations, codes of conduct and standards have impinged upon corporate strategy.

Offers a detailed description of the successful technology transfer of an invention originating in intramural research within the US National Institutes of Health. The history of the commercialization of the invention is used to illustrate a new policy for the payment of royalties on the sales of biomedical products developed with public funding.

Provides evidence that over the period 2000 through 2018 nominal aggregate advertising spending in the US as a share of nominal GDP has been falling. The authors further show that nominal aggregate advertising spending has become more responsive to changes in real GDP and GDP price inflation.

Presents the case that electronic voting can improve accessibility, leading to some positive outcomes. The authors document the various problems with centralized electronic voting systems and show how the blockchain can potentially overcome these problems.

Provides an in-depth overview and practical examples of how robots can be deployed during a disaster. As such it should prove useful for roboticists, researchers in various fields related to robotics as well as industry professionals who are responsible for saving lives and mitigating societal impacts in times of disaster.

Introduces the latest trends and deep-learning-based techniques for multimedia forensics in both architectural and data-processing. Different techniques used to manipulate content are presented, followed by image and video forgery techniques. Deep learning methods for source identification and solutions for deepfake detection are covered.

Provides a review of technologies, techniques and systems for trusted, ethical, and secure AI in manufacturing. Topics covered include systems and technologies for industrial data reliability, responsible and transparent AI systems, human centred manufacturing systems, cyber-defence in AI systems, and simulated reality systems.

Questions the varied set of organisational forms collected under the label of 'collaborative' or 'sharing' economy - ranging from grassroots peer-to-peer solidarity initiatives to corporate owned platforms - from the perspective of what is known as the European social values: respect for human dignity and human rights.