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Author : Bart van der Sloot
Publisher : Unknown
Page : 128 pages
File Size : 41,8 Mb
Release : 2016
Category : Electronic
ISBN : 9048534038
Author : Bart van der Sloot,Dennis Broeders,Erik Schrijvers
Publisher : Unknown
Page : 0 pages
File Size : 47,8 Mb
Release : 2016
Category : Big data
ISBN : 9462983585
In the investigation Exploring the Boundaries of Big Data The Netherlands Scientific Council for Government Policy (WRR) offers building blocks for developing a regulatory approach to Big Data.
Author : Kees Boersma,Chiara Fonio
Publisher : Routledge
Page : 404 pages
File Size : 54,8 Mb
Release : 2017-08-14
Category : Social Science
ISBN : 9781317270980
Big data, surveillance, crisis management. Three largely different and richly researched fields, however, the interplay amongst these three domains is rarely addressed. Through unique international case studies this book examines the links between these three fields. Considering crisis management as an 'umbrella term' that covers a number of crises and ways of managing them, this book explores the collection of ‘big data’ by governmental crisis organisations, as well as the unintended consequences of using such data. In particular, through the lens of surveillance, the contributions investigate how the use and abuse of big data can easily lead to monitoring and controlling the behaviour of people affected by crises. Readers will understand that big data in crisis management must be examined as a political process, involving questions of power and transparency. A highly topical volume, Big Data, Surveillance and Crisis Management will appeal to postgraduate students and postdoctoral researchers interested in fields including Sociology and Surveillance Studies, Disaster and Crisis Management, Media Studies, Governmentality, Organisation Theory and Information Society Studies.
Author : Mira Burri
Publisher : Cambridge University Press
Page : 407 pages
File Size : 55,8 Mb
Release : 2021-07-29
Category : Business & Economics
ISBN : 9781108843591
An exploration of the current state of global trade law in the era of Big Data and AI. This title is also available as Open Access on Cambridge Core.
Author : Orwat, Carsten,Schankin, Andrea
Publisher : KIT Scientific Publishing
Page : 88 pages
File Size : 52,9 Mb
Release : 2019-01-14
Category : Electronic
ISBN : 9783731508595
Author : Anja Lehmann,Diane Whitehouse,Simone Fischer-Hübner,Lothar Fritsch,Charles Raab
Publisher : Springer
Page : 279 pages
File Size : 44,9 Mb
Release : 2017-03-30
Category : Computers
ISBN : 9783319557830
This book contains a range of invited and submitted papers presented at the 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, held in Karlstad, Sweden, in August 2016. The 17 revised full papers and one short paper included in this volume were carefully selected from a total of 42 submissions and were subject to a two-step review process. The papers combine interdisciplinary approaches to bring together a host of perspectives: technical, legal, regulatory, socio-economic, social, societal, political, ethical, anthropological, philosophical, and psychological. The paper 'Big Data Privacy and Anonymization' is published open access under a CC BY 4.0 license at link.springer.com.
Author : Giulia Schneider
Publisher : Springer Nature
Page : 388 pages
File Size : 43,8 Mb
Release : 2022-04-13
Category : Law
ISBN : 9783030954277
This book explores the emerging economic reality of health data pools from the perspective of European Union policy and law. The contractual sharing of health data for research purposes is giving rise to a free movement of research data, which is strongly encouraged at European policy level within the Digital Single Market Strategy. However, it has also a strong impact on data subjects' fundamental right to data protection and smaller businesses and research entities ability to carry out research and compete in innovation markets. Accordingly the work questions under which conditions health data sharing is lawful under European data protection and competition law. For these purposes, the work addresses the following sub-questions: i) which is the emerging innovation paradigm in digital health research?; ii) how are health data pools addressed at European policy level?; iii) do European data protection and competition law promote health data-driven innovation objectives, and how?; iv) which are the limits posed by the two frameworks to the free pooling of health data? The underlying assumption of the work is that both branches of European Union law are key regulatory tools for the creation of a common European health data space as envisaged in the Commissions 2020 European strategy for data. It thus demonstrates that both European data protection law, as defined under the General Data Protection Regulation, and European competition law and policy set research enabling regimes regarding health data, provided specific normative conditions are met. From a further perspective, both regulatory frameworks place external limits to the freedom to share (or not share) research valuable data.
Author : Hassan A. Karimi
Publisher : CRC Press
Page : 410 pages
File Size : 49,5 Mb
Release : 2024-08-01
Category : Computers
ISBN : 9781040090251
Over the past decade, since the publication of the first edition, there have been new advances in solving complex geoinformatics problems. Advancements in computing power, computing platforms, mathematical models, statistical models, geospatial algorithms, and the availability of data in various domains, among other things, have aided in the automation of complex real-world tasks and decision-making that inherently rely on geospatial data. Of the many fields benefiting from these latest advancements, machine learning, particularly deep learning, virtual reality, and game engine, have increasingly gained the interest of many researchers and practitioners. This revised new edition provides up-to-date knowledge on the latest developments related to these three fields for solving geoinformatics problems. FEATURES Contains a comprehensive collection of advanced big data approaches, techniques, and technologies for geoinformatics problems Provides seven new chapters on deep learning models, algorithms, and structures, including a new chapter on how spatial metaverse is used to build immersive realistic virtual experiences Presents information on how deep learning is used for solving real-world geoinformatics problems This book is intended for researchers, academics, professionals, and students in such fields as computing and information, civil and environmental engineering, environmental sciences, geosciences, geology, geography, and urban studies.
Author : Andrej Zwitter,Oskar J. Gstrein
Publisher : Edward Elgar Publishing
Page : 535 pages
File Size : 50,6 Mb
Release : 2023-06-01
Category : Political Science
ISBN : 9781800887374
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.
Author : Maria Tzanou
Publisher : Routledge
Page : 171 pages
File Size : 43,8 Mb
Release : 2020-11-23
Category : Law
ISBN : 9780429663840
The growth of data-collecting goods and services, such as ehealth and mhealth apps, smart watches, mobile fitness and dieting apps, electronic skin and ingestible tech, combined with recent technological developments such as increased capacity of data storage, artificial intelligence and smart algorithms, has spawned a big data revolution that has reshaped how we understand and approach health data. Recently the COVID-19 pandemic has foregrounded a variety of data privacy issues. The collection, storage, sharing and analysis of health- related data raises major legal and ethical questions relating to privacy, data protection, profiling, discrimination, surveillance, personal autonomy and dignity. This book examines health privacy questions in light of the General Data Protection Regulation (GDPR) and the general data privacy legal framework of the European Union (EU). The GDPR is a complex and evolving body of law that aims to deal with several technological and societal health data privacy problems, while safeguarding public health interests and addressing its internal gaps and uncertainties. The book answers a diverse range of questions including: What role can the GDPR play in regulating health surveillance and big (health) data analytics? Can it catch up with internet-age developments? Are the solutions to the challenges posed by big health data to be found in the law? Does the GDPR provide adequate tools and mechanisms to ensure public health objectives and the effective protection of privacy? How does the GDPR deal with data that concern children’s health and academic research? By analysing a number of diverse questions concerning big health data under the GDPR from various perspectives, this book will appeal to those interested in privacy, data protection, big data, health sciences, information technology, the GDPR, EU and human rights law.
Author : Raphaël Gellert
Publisher : Oxford University Press, USA
Page : 305 pages
File Size : 42,8 Mb
Release : 2020-10-06
Category : Law
ISBN : 9780198837718
The concept of a risk-based approach to data protection came to the fore during the overhaul process of the EU's General Data Protection Regulation (GDPR). At its core, it consists of endowing the regulated organizations that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. This book provides a comprehensive analysis of this legal and policy development, which considers a legal, historical, and theoretical perspective. By framing the risk-based approach as a sui generis implementation of a specific regulation model known as meta regulation, this book provides a recollection of the policy developments that led to the adoption of the risk-based approach in light of regulation theory and debates. It also discusses a number of salient issues pertaining to the risk-based approach, such as its rationale, scope, and meaning; the role for regulators; and its potential and limits. The book also looks at they way it has been undertaken in major statutes with a focus on key provisions, such as data protection impact assessments or accountability. Finally, the book devotes considerable attention to the notion of risk. It explains key terms such as risk assessment and management. It discusses in-depth the role of harms in data protection, the meaning of a data protection risk, and the difference between risks and harms. It also critically analyses prevalent data protection risk management methodologies and explains the most important caveats for managing data protection risks.
Author : Anonim
Publisher : Oxford University Press
Page : 993 pages
File Size : 50,6 Mb
Release : 2024-01-05
Category : Law
ISBN : 9780192667441
The Law Enforcement Directive 2016/680 (LED) is the first legal instrument in the EU which comprehensively regulates the use of personal data by law enforcement authorities, creating a minimum standard of privacy protection across the EU. Together with the General Data Protection Regulation (GDPR), it stands at the heart of the legal reform of the EU's data protection law. Although it was adopted at the same time as the GDPR, the LED has not received the same scholarly attention, despite its significant impact and controversial implementation in Member States. The EU Law Enforcement Directive (LED): A Commentary addresses this by providing an article-by-article commentary on the Directive. Drawing on the expertise of leading scholars, regulators, and practitioners in the EU data protection field, it offers a detailed analysis of its legal provisions, drawing on relevant case law and scholarship to illuminate the key aspects and intricacies of each provision. It analyses national transpositions of the LED while taking into account the GDPR and the regulations on the processing of personal data by EU institutions, bodies, offices and agencies. For further context, it includes introductory chapters on the background and evolution of the Directive, the Council of Europe, and the impact of Brexit on the LED. This comprehensive volume is an excellent resource for anyone seeking authoritative guidance on the application and interpretation of LED provisions, especially judges, legal practitioners, prosecutors, competent authorities, and academics.
Author : Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 40,7 Mb
Release : 2013-04-02
Category : Computers
ISBN : 9781118644171
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Author : Li Zhang,Junlin Qu,Jing Jie,Nannan Liang
Publisher : Springer Nature
Page : 215 pages
File Size : 45,5 Mb
Release : 2022-04-12
Category : Social Science
ISBN : 9789811904288
This book introduces China’s current publishing industry in the new era, especially when facing the big challenge from social media and technology transformation. Based on the calculation for the first time, the book and overall size of the content data of publications in China, the book presents 15 cases of Chinese publishers looking for opportunities to develop business, using the technology of big data and Internet. For global readers, it may help to build an overview on China's publishing industry and business innovation cases of media companies.
Author : Cybellium Ltd
Publisher : Cybellium Ltd
Page : 177 pages
File Size : 45,8 Mb
Release : 2023-09-26
Category : Computers
ISBN : 9798862026221
Unlock the Power of Big Data Analytics in the Modern World Are you ready to dive into the fascinating world of big data analytics? "Big Data for Beginners" is your essential guide to understanding and harnessing the potential of big data in the modern era. Whether you're new to the concept or looking to expand your knowledge, this comprehensive book equips you with the foundational knowledge and tools to navigate the complexities of big data and make informed decisions. Key Features: 1. Introduction to Big Data: Dive deep into the fundamental concepts of big data, from its definition to its significance in today's data-driven landscape. Build a strong foundation that empowers you to navigate the vast world of big data. 2. Understanding Data Sources: Navigate the diverse sources of big data, including structured, semi-structured, and unstructured data. Learn how to gather, process, and manage data from various sources to extract valuable insights. 3. Big Data Technologies: Discover the technologies that power big data analytics. Explore tools like Hadoop, Spark, and NoSQL databases, understanding their role in processing and analyzing massive datasets. 4. Data Storage and Processing: Master the art of storing and processing big data effectively. Learn about distributed file systems, data warehouses, and batch and real-time processing to ensure scalability and efficiency. 5. Data Analysis and Visualization: Uncover strategies for analyzing and visualizing big data. Explore techniques for data exploration, pattern recognition, and creating compelling visual representations that convey insights effectively. 6. Machine Learning and Predictive Analytics: Delve into the world of machine learning and predictive analytics using big data. Learn how to build models that make accurate predictions and informed decisions based on massive datasets. 7. Big Data Security and Privacy: Explore the challenges of securing and preserving privacy in the realm of big data. Learn how to implement encryption, access controls, and anonymization techniques to protect sensitive information. 8. Real-World Applications: Discover the myriad applications of big data across industries. From healthcare to finance, retail to marketing, explore how big data is transforming business operations and decision-making. 9. Challenges and Future Trends: Gain insights into the challenges posed by big data, such as data quality and scalability issues. Explore the future trends and advancements that are shaping the evolution of big data analytics. 10. Ethical Considerations: Delve into the ethical considerations surrounding big data. Learn about responsible data usage, addressing bias, and maintaining transparency in the collection and analysis of data. Who This Book Is For: "Big Data for Beginners" is an indispensable resource for individuals, students, professionals, and enthusiasts who are eager to grasp the fundamentals of big data analytics. Whether you're a beginner curious about the world of data or an experienced professional seeking to enhance your skills, this book will guide you through the intricacies and empower you to harness the potential of big data.
