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Legal Challenges of Big Data

Legal Challenges of Big Data
Author: Joe Cannataci
Publisher: Edward Elgar Publishing
Total Pages: 328
Release: 2020-09-25
Genre: Law
ISBN: 1788976223

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This groundbreaking book explores the new legal and economic challenges triggered by big data, and analyses the interactions among and between intellectual property, competition law, free speech, privacy and other fundamental rights vis-à-vis big data analysis and algorithms.


Big Data and Competition Policy

Big Data and Competition Policy
Author: Maurice E. Stucke
Publisher:
Total Pages:
Release: 2016
Genre: LAW
ISBN: 9780191092190

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The first text to provide understanding of the important new issue of Big Data and how it relates to competition laws and policy, both in the EU and US.


Competition Law and Big Data

Competition Law and Big Data
Author: Beata Mäihäniemi
Publisher: Edward Elgar Publishing
Total Pages: 336
Release: 2020-02-28
Genre: Law
ISBN: 1788974263

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In this timely book, Beata Mäihäniemi analyses and evaluates how the characteristics of information as a good, as well as the characteristics of digital platforms, affect the application of competition law in both theory and practice.


Handbook on the Politics and Governance of Big Data and Artificial Intelligence

Handbook on the Politics and Governance of Big Data and Artificial Intelligence
Author: Andrej Zwitter
Publisher: Edward Elgar Publishing
Total Pages: 535
Release: 2023-06-01
Genre: Political Science
ISBN: 180088737X

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Drawing on the theoretical debates, practical applications, and sectoral approaches in the field, this ground-breaking Handbook unpacks the political and regulatory developments in AI and big data governance. Covering the political implications of big data and AI on international relations, as well as emerging initiatives for legal regulation, it provides an accessible overview of ongoing data science discourses in politics, law and governance. This title contains one or more Open Access chapters.


Big Data and the Abuse of Dominance by Multi-Sided Platforms

Big Data and the Abuse of Dominance by Multi-Sided Platforms
Author: Noby Thomas Cyriac
Publisher: Nomos Verlag
Total Pages: 322
Release: 2022-07-25
Genre: Law
ISBN: 3748934718

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Der Autor untersucht interdisziplinär, inwieweit Art. 102 AEUV geeignet ist, den Wettbewerb vor dem missbräuchlichen Verhalten marktbeherrschender Plattformen zu schützen. Nach einer ersten Erörterung der Grundlagen der digitalen Wirtschaft, insbesondere Big Data und mehrseitige Plattformen, werden die relevanten Konzepte, die von EU-Kommission und EU-Gerichten in ihrer Entscheidungspraxis zur Auslegung von Art. 102 AEUV entwickelt wurden, näher beleuchtet, um ihre Eignung für das Missbrauchsverbot mit Blick auf Plattformbetreiber vor dem Hintergrund der Besonderheiten mehrseitiger Märkte zu bewerten. Auch das Vorhandensein und die Abgrenzung eines Datenmarktes werden diskutiert.


Big Data

Big Data
Author: Kuan-Ching Li
Publisher: CRC Press
Total Pages: 444
Release: 2015-09-15
Genre: Computers
ISBN: 1498760406

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As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.


Big Data and Competition Policy

Big Data and Competition Policy
Author: Maurice E. Stucke
Publisher:
Total Pages: 0
Release: 2016
Genre: Law
ISBN: 9780198788133

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Big Data and Big Analytics are a big deal today. Big Data is playing a pivotal role in many companies' strategic decision-making. Companies are striving to acquire a 'data advantage' over rivals. Data-driven mergers are increasing. These data-driven business strategies and mergers raise significant implications for privacy, consumer protection and competition law. At the same time, European and United States' competition authorities are beginning to consider the implications of a data-driven economy on competition policy. In 2015, the European Commission launched a competition inquiry into the e-commerce sector and issued a statement of objections in its Google investigation. The implications of Big Data on competition policy will likely be a part of the mix. Big Data and Competition Policy is the first work to offer a detailed description of the important new issue of Big Data and explains how it relates to competition laws and policy, both in the EU and US. The book helps bring the reader quickly up to speed on what is Big Data, its competitive implications, the competition authorities' approach to data-driven mergers and business strategies, and their current approach's strengths and weaknesses. Written by two recognized leading experts in competition law, this accessible work offers practical guidance and theoretical discussion of the potential benefits (including data-driven efficiencies) and concerns for the practitioner, policy maker, and academic alike.


Big Data and Competition Law

Big Data and Competition Law
Author: Alptekin Koksal
Publisher: Taylor & Francis
Total Pages: 157
Release: 2023-11-13
Genre: Law
ISBN: 1000995844

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Recent studies on competition law and digital markets reveal that accumulating personal information through data collection and acquisition methods benefits consumers considerably. Free of charge, fast and personalised services and products are offered to consumers online. Collected data is now an indispensable part of online businesses to the point that a new economy, a data-driven sector, has emerged. Many markets such as the social network, search engine, online advertising and e-commerce are regarded as data-driven markets in which the utilisation of Big Data is a requisite for the success of operations. However, the accumulation and use of data brings competition law concerns as they contribute to market power in the online world, resulting in a few technology giants gaining unprecedented market power due to the Big Data accumulation, indirect network effects and the creation of online ecosystems. As technology giants have billions of consumers worldwide, data-driven markets are truly global. In these data-driven markets, technology giants abuse their dominant positions, but existing competition law tools seem ineffective in addressing market power and assessing abusive behaviour related to Big Data. This book argues that a novel approach to the data-driven sector must be developed through the application of competition law rules to address this. It argues that current and potential conflicts can be mitigated by extending the competition law assessment beyond the current competition law tools to offer a modernised and unified approach to the Big Data–related competition issues. Promoting new legal tests for addressing the market power of technology giants and assessing abusive behaviour in data-driven markets, this book advocates for cooperation between competition and data protection authorities. It will be of interest to students, academics and practitioners with an interest in competition law and data protection.


EU Competition Law, Data Protection and Online Platforms: Data as Essential Facility

EU Competition Law, Data Protection and Online Platforms: Data as Essential Facility
Author: Inge Graef
Publisher: Kluwer Law International B.V.
Total Pages: 442
Release: 2016-10-17
Genre: Law
ISBN: 9041183256

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All are agreed that the digital economy contributes to a dynamic evolution of markets and competition. Nonetheless, concerns are increasingly raised about the market dominance of a few key players. Because these companies hold the power to drive rivals out of business, regulators have begun to seek scope for competition enforcement in cases where companies claim that withholding data is needed to satisfy customers and cut costs. This book is the first focus on how competition law enforcement tools can be applied to refusals of dominant firms to give access data on online platforms such as search engines, social networks, and e-commerce platforms – commonly referred to as the ‘gatekeepers’ of the Internet. The question arises whether the denial of a dominant firm to grant competitors access to its data could constitute a ‘refusal to deal’ and lead to competition law liability under the so-called ‘essential facilities doctrine', according to which firms need access to shared knowledge in order to be able to compete. A possible duty to share data with rivals also brings to the forefront the interaction of competition law with data protection legislation considering that the required information may include personal data of individuals. Building on the refusal to deal concept, and using a multidisciplinary approach, the analysis covers such issues and topics as the following: – data portability; – interoperability; – data as a competitive advantage or entry barrier in digital markets; – market definition and dominance with respect to data; – disruptive versus sustaining innovation; – role of intellectual property regimes; – economic trade-off in essential facilities cases; – relationship of competition enforcement with data protection law and – data-related competition concerns in merger cases. The author draws on a wealth of relevant material, including EU and US decision-making practice, case law, and policy documents, as well as economic and empirical literature on the link between competition and innovation. The book concludes with a proposed framework for the application of the essential facilities doctrine to potential forms of abuse of dominance relating to data. In addition, it makes suggestions as to how data protection interests can be integrated into competition policy. An invaluable contribution to ongoing academic and policy discussions about how data-related competition concerns should be addressed under competition law, the analysis clearly demonstrates how existing competition tools for market definition and assessment of dominance can be applied to online platforms. It will be of immeasurable value to the many jurists, business persons, and academics concerned with this very timely subject.