This book fills an essential gap in the existing literature by analyzing fraud, and the weakening of ethical relations as parts of an overall global process, in an interdisciplinary, international and multidimensional perspective. It provides an in-depth analysis of fraud in its multiple facets, including financial fraud (most notably related to banking), fiscal/tax fraud (tax compliance and the role of government in the process), and academic fraud (exams misconduct and plagiarism). It also presents a set of methods and empirical evidence on the prevention and combating of fraud in distinct settings, such as money laundering, fraudulent investments schemes, and public procurement mismanagement, and economies, including Brazil, Canada, France, and Portugal.

Research on cybercrime has been largely bifurcated, with social science and computer science researchers working with different research agendas. These fields have produced parallel scholarship to understand cybercrime offending and victimization, as well as techniques to harden systems from compromise and understand the tools used by cybercriminals. The literature developed from these two fields is diverse and informative, but until now there has been minimal interdisciplinary scholarship combining their insights in order to create a more informed and robust body of knowledge. This book offers an interdisciplinary approach to research on cybercrime and lays out frameworks for collaboration between the fields. Bringing together international experts, this book explores a range of issues from malicious software and hacking to victimization and fraud. This work also provides direction for policy changes to both cybersecurity and criminal justice practice based on the enhanced understanding of cybercrime that can be derived from integrated research from both the technical and social sciences. The authors demonstrate the breadth of contemporary scholarship as well as identifying key questions that could be addressed in the future or unique methods that could benefit the wider research community. This edited collection will be key reading for academics, researchers, and practitioners in both computer security and law enforcement. This book is also a comprehensive resource for postgraduate and advanced undergraduate students undertaking courses in social and technical studies.

Applying artificial intelligence (AI) to new fields has made AI and data science indispensable to researchers in a wide range of fields. The proliferation and successful deployment of AI algorithms are fuelling these changes, which can be seen in fields as disparate as healthcare and emerging Internet of Things (IoT) applications. Machine learning techniques, and AI more broadly, are expected to play an ever-increasing role in the modelling, simulation, and analysis of data from a wide range of fields by the interdisciplinary research community. Ideas and techniques from multidisciplinary research are being utilised to enhance AI; hence, the connection between the two fields is a two-way street at a crossroads. Algorithms for inference, sampling, and optimisation, as well as investigations into the efficacy of deep learning, frequently make use of methods and concepts from other fields of study. Cloud computing platforms may be used to develop and deploy several AI models with high computational power. The intersection between multiple fields, including math, science, and healthcare, is where the most significant theoretical and methodological problems of AI may be found. To gather, integrate, and synthesise the many results and viewpoints in the connected domains, refer to it as interdisciplinary research. In light of this, the theory, techniques, and applications of machine learning and AI, as well as how they are utilised across disciplinary boundaries, are the main areas of this research topic. This book apprises the readers about the important and cutting-edge aspects of AI applications for interdisciplinary research and guides them to apply their acquaintance in the best possible manner This book is formulated with the intent of uncovering the stakes and possibilities involved in using AI through efficient interdisciplinary applications The main objective of this book is to provide scientific and engineering research on technologies in the fields of AI and data science and how they can be related through interdisciplinary applications and similar technologies This book covers various important domains, such as healthcare, the stock market, natural language processing (NLP), real estate, data security, cloud computing, edge computing, data visualisation using cloud platforms, event management systems, IoT, the telecom sector, federated learning, and network performance optimisation. Each chapter focuses on the corresponding subject outline to offer readers a thorough grasp of the concepts and technologies connected to AI and data analytics, and their emerging applications

The book combines interdisciplinary teams from business, economics, information science, law and political science to offer a unique and innovative interdisciplinary approach to the issue of international tax coordination.

Diversity research and scholarship has evolved over the past several decades and is now reaching a critical juncture. While the scholarship on diversity and inclusion has advanced within various disciplines and subdisciplines, there have been limited conversations and collaborations across distinct areas of research. Theories, paradigms, research models and methodologies have evolved but continue to remain locked within specific area, disciplines, or theoretical canons. This collaborative edited volume examines diversity across disciplines in higher education. Our book brings together contributions from the arts, sciences, and professional fields. In order to advance diversity and inclusion across campuses, multiple disciplinary perspectives need to be acknowledged and considered broadly. The current higher education climate necessitates multicultural and interdisciplinary collaboration. Global partnerships and technological advances require faculty, administrators, and graduate students to reach beyond their disciplinary focus to achieve successful programs and research projects. We need to become more familiar discussing diversity across disciplines. Our book investigates diversity across disciplines with attention to people, process, policies, and paradigms. The four thematic categories of people, process, policies, and paradigms describe the multidisciplinary nature of diversity and topics relevant to faculty, administrators, and students in higher education. The framework provides a structure to understand the ways in which people are impacted by diversity and the complicated process of engaging with diversity in a variety of contexts. Policies draw attention to the dynamic nature of diversity across disciplines and paradigms presents models of diversity in research and education.

Presents a broad range of international findings in online consumer protection. Covers the nature of online threats, consumer concerns, and techniques for online privacy protection.

"This book provides insights to better enhance the understanding of technology's widespread intertwinement with human identity within an advancing technological society"--Provided by publisher.