This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline.com. The Dictionary of Privacy, Data Protection and Information Security explains the complex technical terms, legal concepts, privacy management techniques, conceptual matters and vocabulary that inform public debate about privacy.

In this book, Tobias Röding addresses the topic of technology use along different touchpoints in context of different services in retailing, both in offline and online retail, with a total of eight essays. In particular, the interaction of technology use and the frontline employee is also considered and a special focus is placed on aspects of data disclosure by customers. In this context, the essays concentrate in varying degrees on the social interaction between customer, frontline employee and a service-technology, as well as on the balancing of benefits and risks for the customer in a possible disclosure of personal information. Based on the essays' findings, implications for both practice and academia are provided..

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. A series of handbooks is the only way of presenting the various aspects of statistical methodology, applications and developments. This volume deals with bioinformatics.

This book offers conceptual analyses, highlights issues, proposes solutions, and discusses practices regarding privacy and data protection in transitional times. It is one of the results of the 15th annual International Conference on Computers, Privacy and Data Protection (CPDP), which was held in Brussels in May 2022. We are in a time of transition. Artificial Intelligence is making significant breakthroughs in how humans use data and information, and is changing our lives in virtually all aspects. The pandemic has pushed society to adopt changes in how, when, why, and the media through which, we interact. A new generation of European digital regulations - such as the AI Act, Digital Services Act, Digital Markets Act, Data Governance Act, and Data Act - is on the horizon. This raises difficult questions as to which rights we should have, the degree to which these rights should be balanced against other poignant social interests, and how these rights should be enforced in light of the fluidity and uncertainty of circumstances. The book covers a range of topics, including: data protection risks in European retail banks; data protection, privacy legislation, and litigation in China; synthetic data generation as a privacy-preserving technique for the training of machine learning models; effectiveness of privacy consent dialogues; legal analysis of the role of individuals in data protection law; and the role of data subject rights in the platform economy. This interdisciplinary book has been written at a time when the scale and impact of data processing on society – on individuals as well as on social systems – is becoming ever more important. It discusses open issues as well as daring and prospective approaches and is an insightful resource for readers with an interest in computers, privacy and data protection.

With sustainability now a fundamental strategic pillar for organizations, ESG metrics are vital for decision making, yet this data is complex and ever evolving. Navigating Sustainability Data provides a focused guide for leaders and executives who want to understand how sustainability impacts a company's future and how they can use data as a key tool to facilitate growth, access to capital and meet regulatory requirements. It explores what data is required to make decisions that directly affect the company's valuation and helps leadership teams decide what data points they need to be preparing for their boards to support the organization's financial, strategic and reputational future. Showing how leaders can move from measuring data to managing future organizational risks and rewards, the book explores how to use the right data for the appropriate situation to drive efficient sustainable business decisions. It explains ESG data in plain English and highlights what data is relevant to leaders; what investors consider as essential data; and how regulation, disclosure and transparency are on a rapidly changing journey. Navigating Sustainability Data holds the information you need to avoid greenwashing, to shape your role in the sustainability landscape, and to be a leader for the future.

This volume contains the papers presented at the 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security (DBSEC) held in L- don, UK, July 13–16, 2008. This year’s working conference continued its tra- tion of being a forum for disseminating original research results and practical experiences in data and applications security. This year we had an excellent program that consists of 9 research paper s- sions with 22 high-quality research papers, which were selected from a total of 56 submissions after a rigorous reviewing process by the Program Committee members and external reviewers. These sessions included such topics as access control, privacy, auditing, systems security and data security in advanced app- cation domains. In addition, the programincluded a keynote address, an invited talk and a panel session. The success of this conference was a result of the e?orts of many people. I would like to extend my appreciation to the Program Committee members and external reviewers for their hard work. I would like to thank the General Chair, SteveBarker,fortakingcareoftheorganizationaspectsoftheconferenceandfor arranging the keynote address and the panel session. I would also like to thank Claudio Ardagna for serving as the Publicity Chair and for promptly updating the conference Web page, and Don Lokuadassuriyage for serving as the Local Arrangements Chair. Special thanks go to Alfred Hofmann, Editorial Director at Springer, for agreeing to include these conference proceedings in the Lecture Notes in Computer Science series.

This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Poznań, Poland, September 8–10, 2021. Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.